u.s. · the mean wp values of that report were computed using mean monthly upper-air pressures,...
TRANSCRIPT
NOM TECHNICAL REPORTS
National Weather Service Series
The National Weather Service (NWS) makes ob~ervations and measurements of atmospheric phenomena, develops and distributes forecasts of weather conditions and warnings of adverse weather, and collects and disseminates weather information to meet the needs of the public and specialized users. The NWS develops the national meteorological service system and the improved procedures and techniques for weather and hydrologic measurements and forecasts and for their dissemination.
NWS series of NOAA Technical Reports is a continuation of the former series, ESSA Technical Report Weather Bureau (WB) •
Reports 1 to 3 are available from the National Technical Information Service, U.S. Department of Commerce, Sills Bldg,, 5285 Port Royal Road, Springfield, Va. 22151. Prices vary. Order by accession number (at end of each entry). Beginning with 4, Reports are available from the Superintendent of Documents, u.s. Government Printing Office, Washington, D.C. 20402.
ESSA Technical Reports
WB 1 Monthly Mean 100- I so-. 30-' and 10-~fillibar Charts January 1964 through December 1965 of the IQSY Period. Staff, Upper Air Branch, National Meteorological Center, February 1967 (AD 651 101)
WB 2 Weekly Synoptic Analyses, 5-, 2-, and 0.4-Mb Surfaces for 1964 (based on observations of the Meteorological Rocket Network during the IQSY). Staff, Upper Air Branch, National Meteorological Center, April 1967 (AD 652 696)
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NWS 13 The March-April 1969 Snowmelt Floods in the Red River of the North, Upper Mississippi, and Missouri Basins. Joseph L. H. Paulhus, Office of Hydrology, October 1970. Price $1.25. (COM-71-50269)
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NWS 15 Some Climatological Characteristics of Hurricanes and Tropical Storms, Gulf and East Coasts of the United States. Francis P. Ho, Richard W. Schwerdt, and Hugo V. Goodyear, May 1975. (COM-75-11088)
(Continued on inside back cover)
NOAA Technical Report NWS 20
Precipitable Water Over the United States
Volume 1: Monthly Means
George A. Lott Consultant, Corps of Engineers and Hydrometeorological Branch Office of Hydrology
Silver Spring, Md. November 1976
U.S. DEPARTMENT OF COMMERCE Elliot L. Richardson, Secretary
National Oceanic and Atmospheric Administration Robert M. White, Administrator
National Weather Service George P. Cressman, Director
Contents
Abstract • • • • • <l • 6 G 1111 • • S •
1. Introduction
2. Scope .. . . . . 3. Previous work.
4. Data . . . . . . 5. Humidity measurement . . 6. Computations of precipitable water
7. Summarization of precipitable water amounts.
8. Results. • • • • •
9. Acknowledgments.
10. References • •
11.
Table No.
Station index. •
• • • (II' • • «o •
Tables
1. Station location and period of record. • • • • • •
2. Comparison of s ... yr mean to 27·wyr mean precipitable water. . . . . . . . . .
3. Comparisons of mean precipitable water . . . . 4 .. Mean monthly precipitable water: mb,
sfc-to-700 mb, sfc-to-400 mb . . . . . . . .
ii
. . .
. . . . . . .
. . . . .
Page
1
1
2
2
3
5
7
8
9
12
13
171
14
25
28
144
1.
2.
3.
4-7.
8-11.
List of Figures
Station locator, Contiguous States •
Station locator, Alaska and others •• . . . Location of stations with 8-yr means and
test stations. • • • • • • • • • • • • . . . . . . Maps of mean monthly precipitable water, Contiguous
States~urface-to-500 mb and surface-to-150mb above the surface) • • • • • • • • • • • • • • • •
Maps of mean monthly precipitable water, Alaska (surface-to-500 mb and surface-to-150-mb above
. . .
. . .
. . .
the surface) • • • • • • • • • • • • • • • . . . . Seasonal plots of mean monthly precipitable water ••
iii
Page
29
30
31
32
36
41
PREFACE
The report is a joint effort of the Corps of Engineers and the National Weather Service. It is based upon computations of precipitable water from twice-a-day upper air soundings for numerous stations for the major record period. These computations were funded by the National Weather Service, Corps of Engineers,and Soil Conservation Service in support of various hydrometeorological projects.
The Hydrometeorological Branch, Office of Hydrology, National Weather Service processed these computations to prepare monthly means of precipitable water. George A. Lott, a retired meteorologist of the Rydrometeorological Branch, prepared the text as a consultant for the Corps of Engineers.
iv
PRECIPITABLE WATER OVER THE UNITED STATES
Volume I: Monthly Means
George A. Lott Consultant, Corps of Engineers
and Hydrometeorological Branch
Office of Hydrology Silver Springt Md.
ABSTRACT. Mean monthly values of precipitable water are presented in tabular and graphical form for all radiosonde stations in the contiguous United States for the period 1946-72 for Alaska 195D-69. The precipitable water is given by layers from the surface to 400 mb from twice-daily observations.
L INTRODUCTION
For many years a three-dimensional statistical summary of the water vapor in the atmosphere over the United States based on a substantial of record has been needed for hydrological and meteorological purposes~ The aim of this study is to provide a detailed view of atmospheric water vapor for the United States using all available radiosonde data since January 1, 1946. (A few very short records have not been used.)
The quantity of water vapor in the atmosphere is generally referred to as the "precipitable water" (wp) and is the term that will be used through-out this report. This is the same as the liquid equivalent the water vapor, a name perhaps better descriptive the concept. Precipitable water is defined as uthe total atmospheric water vapor contained in a vertical column of unit cross-sectional area extending between any two specified levels, commonly expressed in terms of the height to which that water substance would stand if completely condensed and collected in a vessel of the same unit cross-section" (American Meteorological Society, 1959). The wp therefore does not include any rain, fog, cloud or other liquid or frozen condensates in the column.
2
2. SCOPE
This report presents a climatological summary of precipitable water over the contiguous states, Alaska, and adjacent waters. It is believed that the length of record is now substantial enough to give reliable, stable statistical results, barring a marked climatic change. This volume is restricted to monthly means of the precipitable water and standard deviations of the daily observations, along with a brief interpretation. These data are presented in tables accompanied by a computer~created seasonal plot of two layers, surface-to-500 mb, and surface-to-150 mb above the surface. Maps also show geographical distribution, suggest probable moisture sources, and show comparisons between stations.
Volume 2 will give the semimonthly mean maxima, thEir standard deviations, and the semimonthly maximum observed values with the date of occurrence.
A third volume is planned that will give frequency analyses of estimated precipitable water likely to be observed over long intervals, up to a century.
3. PREVIOUS WORK
The first report on precipitable water over the United States is Weather Bureau Technical Paper No. 10 (Shands 1949). The mean wp values of that report were computed using mean monthly upper-air pressures, temperatures, and relative humidities at 29 stations in the United States. Tables are given showing wp by small layers between constant-level surfaces and the total wp from the surface to 8 km (approx. 355 mb). In addition, the mean monthly and annua+ values of wp are mapped for two layers, surface-to~8 km and 2-km-(approx. 795 mb) to-8 km. Most of these monthly means are based on five years of record or less. (The last month included was December 1943.) Also, Weather Bureau Technical Paper No. 10 contains a table of maximum observed depths of w from the surface to 5 km (approx. 540 mb) for 49 stations in the Unite~ States. The last year of record checked for maximum moisture at any station was 1944. A comparison of mean w values of the present study at a few selected stations with those given ~n Weather Bureau Technical Paper No. 10 is given in section 8.
Statistics of wp over the United States were updated by Reitan (January 1960), increasing the length of record to 11 years, 1946-56, for 52 radiosonde stations. WP. was computed for the total layer, surface-t~ 325 mb, based on one radiosonde observation a day, usually 0300 GMT. Monthly means with the standard deviations of the monthly means are presented.
The above data were also presented in map form by Reitan (February 1960). Precipitable water in the layers 775-to-325 mb and 525-to-325 mb for the year and for the month of July were also presented. Comparisons with present results, insofar as possible, are given in section 8.
Reitan's mean w values are also based on mean monthly upper air data, following the technique used by Shands, whereas the present work uses the individual twice-daily Wp values in obtaining the means.
4. DATA
3
The data used in this study are derived from the National Weather Service (formerly U.S. Weather Bureau) and cooperative upper air stations. The network is shoWn in figure 1, the contiguous United States, and figure 2, Alaska. The period of record for stations in the contiguous States encompasses the 27-yr period 1946-72* (19,724 possible observations), and the 20-yr period 195D-69 (14,610 possible observations) for Alaska stations. In general, all stations that have taken upper air soundings in the above periods were summarized but some very short records are not presented. Outside the contiguous States and Alaska the radiosonde station at Merida, Mexico, was included because of its strategic position in relation to the tropical inflow into the United States from the south. Ship station H (2 positions) and Hamilton Field, Bermuda, similarly give the moisture available off the east coast of the United States, and ships N and P and Guadalupe Island, Mexico, off the Pacific coast. The locations of these stations are also shown on figure 2.
The record for ship station H was separated into two parts because of the large difference in the wp; the water is much colder at the northern station even though there is only a 2° latitude and 1° longitude difference in the location. (The different locations for ship station N presented no problem in this regard~)
In cases where the station had been moved, the records were combined, as shown below. The latest location is given first.
1. Athens and Atlanta, Ga. 2. Boothville, Burrwood, and New Orleans, La. 3. Midland and Big Springs, Tex. 4. Peoria and Rantoul, Ill. 5. Point Arguello and Santa Maria, Calif. 6. Quillayute and Tatoosh Island, Wash. 7. Salt Lake City and Ogden, Utah 8. Santa Monica and Long Beach, Calif.
*January 1, 1946, the beginning record date, was chosen because on this day constant-pressure data replaced constant level data for u.s. radiosondes. Transformation of the data before this date was not thought worth while.
4
9. Victoria and San Antonio, Tex. 10. Waycross, Ga. and Jacksonville, Fla.
Valparaiso and Pensacola, Fla. 12. Yucca Flat and Las Vegas, Nev.
In the above cases it is assumed that differences in w at the two or three stations were small enough so the records could be cotnCined without significant error. However, .some of these combinations show slight ,irj;egularities when plotted on maps for :months of steep wp gradients in their vicinity. These usually can be adjusted subjectively for the locationchange. The few stations that have moved since December 31, 1972 are. not listed~
Local observation site changes within a metropolitan area were not considered significant from the standpoint of precipitable water distribution and were therefore ignored. For example, in the Washington, D.C. area, the radiosonde has been released from three locations during the 27-yr period~all within about n.mi. each other.
A few stations in the Plains States were operated only in the spring and early summer tornado season. These stations are treated like the yearround stations except that the summaries are confined to the operating season. for months in which no observations were taken appear as 0.0000 in the tables.
Table 1 lists each station summarized in this study, its location in latitude and longitude~ the elevation,and the period of record. Under "notes are included any significant gaps in the station's record. Summarized in this report are data 85 stations in the contiguous United States (coUnting as one each group of 2 or 3 stations that were combined into a single record), 14 in Alaska~ 3 weather ships, and J foreign stations.
From the beginning of the record period, January 1, 1946, until June 1~ 1957 the observation times of U.S. radiosondes were 0300 GMT and 1500 GMT. As of 1, 1957, the observation time became 0000 GMT and 1200 GMT, to conform with most of the countries the world. Observations taken 1 and 2 hours on either side of the scheduled observation time are included. The ,OQOO GMT data were combined with 0300 GMT and 1200 GMT with 1500 GMT for all stations that spa::med the time change.
Short Record for Mean at Some Stations
For 26 stations (see table 1) t;he computation of the mean Wp was confined to an 8-yr period record, , because computations of Wp for prior years were not available on tape. The Wp data prior to 1965 at these 26 stations were ordered and processed in 1965-66 for other research
at which time magnetic tape was not obtained. The computations this were all done by computer. Tests showed that the improve-
ment in accuracy that could be achieved by putting the additional years of on tape could not have justified the additional cost. (Maximum wp
values for these 26 stations, however, were selected by hand and machine processed. The maximum and mean maximum tabulations to be presented in Volume 2 are therefore complete for all stations.)
5
In order to judge the reliability of the 8-yr mean, a comparison was made of 8-vr means with 27-yr means for a same station at selected locations near the 8-yr mean stations. The stations with 8-yr means and the stations for which 8-yr and 27-yr means were compared are identified in figure 3.
Table 2 s,hows the results of the comparison for 2 layers (sfc.:..to-850 mb and sfc-to-400 mb), for January, April, July and October at 6 test stations. The ratio of the 27-yr mean to the 8-yr mean is given for each layer at each station. On the average the 8-yr means (1965-72) were slightly lower than the 27-yr means. A small correction to the 8-yr means might be considered by the user; however, a portion of this relative dryness may be associated with a change in humidity measuring elements. (See section 5.)
5. HUMIDITY MEASUREMENT
Humidity Elements
The humidity elements used to measure the water vapor content in this study are the lithium chloride and the carbon (Marchgraber 1959). The lithium chloride humidity element was introduced in 1943 to replace the hair hygrometer.
The carbon element came into use gradually; in the National Weather Service 1962-65, u.s. Air Force 1961-62, and in the u.s. Navy land stations 1963-65 (Morrisay and Brousaides 1970). Navy ships were still using the old lithium chloride element as of 1973.
Bias in Humidity Element
In recent years it has been reported that the carbon humidity element, ML 476, is biased toward lower humidity que to solar radiation on the sensor strip (Morrisay and Brousaides 1970; Brousaides 1973; Sanders, Sullivan and Pytlowany 1975). The lithium chloride element is also affected by solar insulation but to a much lesser degree (Brousaides 1973).
Correction of these data for carbon humidity element bias was not attempted in this study. Ideally, local weather should be determined for each ascent; otherwise,any correction to the means would be open to question. The bias in these results is probably not serious (except possibly over Alaska) for the following reasons:
6
1. The mean w always includes the lower layers (surfaceto-850 mb,Psurface-to-700 mb, etc.) where the bias is small, thus minimizing this effect.
2. The carbon element was used in approximately 1/3 of the period of record.
Another factor affecting possible bias is the observation time relative to the sun (Sanders, Sullivan,and Pytlowany 1975). Over the contiguous United States the observation times tend to occur near sunrise and sunset, when the effect of sunlight on the humidity element is weak. However, over Alaska, the observation time occurs near local noon and midnight. For this reason special attention was given to this region (see Volume 2 of this report).
Change in Humidity Computation
No adjustment to the record was made for a change in computation of relative humidity in 1948 when, for temperatures below 0°C, it was changed from "saturation with respect to ice" to "saturation with respect to water." Since this affected only a small fraction of the record (33 months out of 324 months for a 27-yr record station, or about 10 percent) and then only for temperatures below 0°C, the effect on mean wp values would be minimal.
Differences in Means Due to Observation Time
A study was undertaken to determine whether there was any significant difference between the average Wp at the 0000 GMT (or 0300 GMT) observation time and that at the 1200 GMT (or 1500 GMT) time. It is believed such differences, if they exist, are due to solar heating of the humidity element. Eight stations in the contiguous United States* and 4 Alaska# were chosen for comparison, based on their location and length of record. Two layers were compared, surface-to-500 mb and surface-to-150 mb above the surface, for four months; January, April, July and October.
*Contiguous u.s. stations: Portland, Me., Greensboro, N.C., Miami, Fla., Lake Charles, La., International Falls, Minn., Bismarck, N.D., Yuma, Ariz., and Quillayute-Tatoosh Is., Wash.
#Alaska stations: Fairbanks, Annette, Cold Bay, Pt. Barrow.
7
Contiguous States
Based on the 8 test stations, the difference between the means of w at 0000 and 1200 GMT (in both the surface-to-500 mb and surface-to-IsS mb above the surface layers) is usually within 1 to 3 percent, a difference probably not significant for most users. However, a few station months have average differences as high as about 6 percent~ highly significant statistically for the approximately 800 observations that make up each 27-yr mean. For example. at Portland~ Me.~ mean w at the 0000 GMT in July is about 6 percent higher than that for 1200 CMT; while at Yuma, Ariz. in July the 0000 GMT averages are 6 percent lower than the 1200 GMT averages. It is thought that this is due to differential solar heating of the instrument. Note that in the northeastern United States there is more sunlight (a higher sun angle) in summer at 1200 than at 0000 GMT, while in the West the reverse is true.
Alaska
Since observations are taken nearer local noon and midnight than in the contiguous United States, the differences between the 0000 and 1200 GMT observations are somewhat greater. For example, at Pt. Barrow the maximum wp difference in the surface-to-500 mb layer is observed in April and July, where the 1200 GMT average is 8 percent higher than the 0000 GMT average. During the test months of January and October small differences are observed at all 4 Alaska stations in both layers with the exception that 1200 GMT values are 6 percent higher at Fairbanks in January. In these months the sun angle is relatively low at both observation times.
6. COMPUTATIONS OF PRECIPITABLE WATER
The data from which this study was made came from the summary of upper air data from the archives of the National Climatic Center at Asheville, N.C. Among other things, this summary lists the temperature and dewpoint for the ground surface and for pressure surfaces at 50-mb intervals.
The depth of precipitable water was computed by layers, from the surface to the first standard level, then by 50-mb layers to 400 mb.
Precipitable water in terms of the mass of water vapor (Mw) in a column from Ptt the pressure at the top, to Pb, the pressure at the bottom (Solot 1939) is as follows:
Mw •! f:> dp
8
where
g = acceleration of gravity q = specific humidity
Data were summed from the surface to 850 mb, surface to 700 mb, surface to 500 mb, surface to 400 mb, and surface to 150 mb above the surface, interpolating when necessary in the last layer.
The w computation formula (Solot 1939) is as follows: p
w = .0002 (P 1 - P ) (q 1 - a ) p n- n n- ~
where
wp = precipitable water (inches)
P = pressure (mb)
where
q = specific humidity (dimensionless) n = top of a given layer
q e = 0.622 -p
e=e M s
e • vapor pressure (mb) es = saturation vapor pressure (mb)
RH = relative humidity
e ~ 33.8639 [(0.00738T + 0.8072) 8 0.000019 s
Bosen (August 1960) where T = •c
j1.8T + 481 + 0.001316],
The precipitable water computations for individual observations were made at the National Climatic Center (NCC) of the Environmental Data Service (EDS), National Oceanic and Atmospheric Administration (NOAA). Summaries and data analyses were prepared at the NOAA computer center at Suitland, Md.
7. SUMMARIZATION OF PRECIPITABLE WATER AMOUNTS
Precipitable water was summarized by months for all stations. The mean and standard deviation of the daily values were computed for the five layers mentioned in section 6. Two layers are presented in seasonal plots, the surface-to-150 mb above the surface, and the surface-to-500 mb, pages 41 through 143. Pages 144 through 170 give the layers from the surface-to-850 mb9 to-700 mb and to-400 mb. In the index of stations (p. 171) 2-page
references are given, the first for the graphical presentation (and their tabular values) and the second for tabular values only. Stations are listed alphabetically; ships and foreign stations are listed separately in sub-groups.
9
Graphs of Wp for the layer, surface-to-150mb above the surface are given to show the important low-level moisture distribution. The surface-to-500 mb layer is graphed to facilitate comparison with Wp studies elsewhere and with the daily transmitted surface-to-500 mb wp values used in operational forecasting. These plots also give a quick and easy way to compare values at different stations since the scale is the same for all. For more precise work, however~ consult the numerical values that appear in the table on each chart, rather than the graph. The typewriter plots at discrete intervals, each line representing 0.02 in. precipitable water in this case. In the plotting routine, therefore, all values of the Wp were rounded to 0.02 in. and plotted at the lower end of the interval. For example, 0.50 to 0.52 in. were plotted on the 0.50 in. line and 0.52 to 0.54 in. on the 0.52 in. line, etc.*
8. RESULTS
Distribution of Mean Monthly Precipitable Water
Mean wp over the contiguous states by months for two layers, surface-to-500 mb and surface-to-150 mb above the surface is shown in figures 4 through 7. The same layers are shown for Alaska in figures 8 through 11. The maximum and minimum mean Wp values of the year are underlined on these maps. All values are in centimeters.
Lines of equal w are drawn on the contiguous States maps only east of 100°W longitude. ~est of this line a false pattern would be introduced by the combination of high and low elevation stations if the lines are drawn strictly to the data. Additionally, isolines would have little meaning unless corrected for the complex terrain between stations. East of the lOOth meridian only two stations are above 2000 feet: Goodland, Kans. and Big Springs, Tex. Most radiosonde stations are below 1000 feet. Thu~ the patterns east of 100°W should have little distortion; however, the analysis cannot be considered accurate in detail over the Appalachians.
*There is a small linear cumulative error in the metric scale on the right side of the graphs. It ranges from zero at the bottom of the chart to about 1/2 ~~ (one division on this scale) at 30 mm (1.7%). This came about because of unavoidable limitations in fitting an equal whole integer metric scale interval to the English unit plot (the computations were made in inches). The metric table values are, of course, accurate.
10
Over Alaska, the radiosonde stations are all at low elevations. Hence no problems are encountered in drawing for the data, although the isolines represent a fictitious sea-level pattern over the mountains.
Contiguous States
The winter months are characterized by a steep moisture gradient over the Southern States while in summer, the strong gradient moves northward to the Central States and weakens to the south, reducing to near zero over Florida. The Rocky Mountain States have low wp values most of the year. This results from the high elevation of the region and from the high barrier of the Sierras and similar ridges farther north. In southern Arizona wp values are very high during July and August when moisture is advected northward from the Gulf of California over low barriers. This effect is also apparent at the Pacific Coast station of San Diego (see figure 5).
In general, the driest month is February and the moistest July, but there are important exceptions. In a north-south band from North Dakota to southern Texas, January is the driest month, while in the Pacific Northwest, the Great Basin and in the arid Southwest, March is driest. The western United States are influenced by the seasonal lag in the temperature of the sea surface in the source region of air masses moving into this area. During the summer, a lag also takes place at the southernmost U.S. stations of Brownsville, Miami,and Key West,which have their maximum in September. This may result from the September maximum of tropical storms as well as the sea surface temperature lag. This effect is even more pronounced at Merida, Mexico, which has two maxima, one in June (fig. 4) and a higher one in September (fig. 5), and is probably associated with the bimodal maxima of tropical disturbances and easterly waves in the Caribbean.
The seasonal range of Wp is small on the west coast except in southern California,where the values are high in the months of July and August, as mentioned above. In general, mean wp values of central California northward show almost no latitudinal variation. In summer and early fall mean values are higher at Quillayute, Wash. than at Oakland, Calif. This probably results from cold water upwelling off the coast of central California causing moisture to condense on the water.
Alaska
Lowest values of precipitable water in Alaska occur north of the Brooks Range. In northern Alaska the minimum w is February, while in southern Alaska it is delayed until March. This ~s probably not significant since wp values vary little from December through March over most of the state.
Central and northern Alaska (regions of maximum continentality) have a July maximum, while in southern Alaska, including the island stations and ship P, the maximum is retarded until August by temperature lag in the ocean. Note the small wp gradient in June between ship P and Fairbanks,
11
a distance of 15° latitude (900 n.mi.). Land heating with local evaporation in central Alaska together with the maritime lag at the ship almost nullify the expected difference.
The cold Bering Sea affects the summer wp isolines, orientating them almost north-south along the west coast of Alaska. Kotzebue, Nome and St. Paul Is. have almost identical wp values in June and July.
Seasonal Graphs of Mean Precipitable Water
Pages 41 through 143 show the computer graphs of the mean monthly precipitable water for each station together with their respective tabular values (which are not considered accurate beyond the second decimal).
These graphs are self-explanatory and are intended for general reference and comparison purposes. They are all on the same scale. A smooth curve can be drawn through the data points and approximate values can be read at weekly intervals if such amounts are needed.
Comparison of Mean Precipitable Water with Previous Work
Precise comparisons with previous work on mean wp over the United States are not practicable. A rough comparison was attempted, however, with the work of Shands (1949) and Reitan (1960). The wp measurement in the surfaceto-400 mb layer is compared with Shands' surface-to-7 km {approx. 410 mb) and Reitan's surface-to-325mb values. The results are given in table 3. Eight stations were chosen where 27-yr records {with the exception of 21 yrs at Oklahoma City) are available and for which observations have been taken since the 1930's. Mean wp for each station and the mean overall for eight stations is given for each month.
In general, the mean values in this study are lower than those found by either Shands or Reitan. This is especially true for the summer season when Shands' means are up to 10 percent greater than present values. It is surmised that this is due to the change in humidity element from hair hygrometer to lithium chloride and carbon, and possibly the Shands' short period of record.
Reitan's mean values are near the present long-record values, except in summer when they are up to 5 percent higher. This difference can be explained by moisture in the layer 400 to 325 mb, not measured by the present study.
12
ACKNOWLEDGMENTS
This report was prepared by the Hydrometeorological Branch of the Office of Hydrology, NOAA. Financial support was provided by the Corps of Engineers, U.S. Department of the Army, the Soil Conservation Service,and the National Weather Service. Francis M. Divillio, Andrew Caporaso and Albert P. Shipe were responsible for the computer programming.
REFERENCES
American Meteorological Society, 1959: Glossary of Meteorology, Boston, Mass.
Benton, G. s., Estoque, M. A., and Dominitz, J., 1953: "An Evaluation of the Water Vapor Balance of the North American Continent," Science Report No. 1, Contract AF 19(122)-365, Johns Hopkins University~
Bosen, J. F., 1960: "A Formula for Approximation of the Saturation Vapor Pressure OVer Water," Monthly Weather Review, Vol. 88, No. 8, pp. 275-76, August.
Brousaides, F. J., 1973: "An Assessment of the Carbon Humidity Element in Radiosonde Systems," Cambridge, Mass., July.
13
Marchgraber, R. M., 1959: ucarbon-Type Humidity Element, Resistance ML-476 ( )/AJ!IT," USAELRDL }echnical Report 2052, Ft. Monmouth, N.J., July.
Morrissey, J. F. , and Brousaides, F. J. , 1970: "Temperature-Induced Errors in the ML-476 Humidity Data," Journal of Applied Meteorology, Vol. 9, No. 5, October.
Peterson, K. R., 1961: 11A Precipitable Water Nomogram," Bulletin of the American Meteorological Society, Vol. 42, February, pp. 119-121.
Ratner, B., 1957: "Upper Air Climatology of the United States, Part I Average for Isobaric Surfaces - Height, Temperature~ Humidity, and Density,~~ u.s. Weather Bureau Technical Paper No. 3, U.S. Weather Bureau, Washington, D.C., June.
Reitan, c. H., 1960: uMean Monthly Values of Precipitable Water Over the United States 1946-56," Monthly Weather Review, Vol. 88, No. 1, January, PP• 25-35.
Reitan, C. H., 1960: "Distribution of Precipitable Water Vapor Over the Continental United States," Bulletin o.f the American Meteoro].ogical Society, Vol. 41, No. 2, February, pp. 79-87.
Shands, A. L. , 1949: 21Mean Precipitable Water in the United States," U.S. Weather Bureau Technical Par:er No. 10, U.S" Weather Bureau, Washington, D.C., April.
"Computation of Depth of Precipitable Water in a Column Vol. 67, pp.
Sanders, L. D., Sullivan, J. T., and Pytlowany, P. J., 1975: "Correction of Bomex Radiosonde Humidity Errors,n NOAA Technical Memorandum EDS BOMAP-16, National Oceanic and Atmospheric Administration, u.s. Department of Commerce, Washington, D.C., May.
..... -'='"
Table 1.--Station location and period of record
Approx. Period Elevation N w yrs of of
Station (m) (ft) lat. long. record* record Notes
CONTIGUOUS U.S. STATIONS
Abilene, Tex. 534 (1752) 32°26' 99°41' 15 3/57-5/61 Generally Feb. thru May 2/63-5/72 only.
Albany, N.Y. 86 (282) 42°45' 73°48' 23 1/46-11/51 10/55-12/72
Albuquerque, N.Mex. 1619 (5312) 35°03' 106°37' 27 1/46-12/72 II
Amarillo, Tex. 1095 (3560) 35°14' 101°42' 20 7/52-12/72 fl
Athens, Ga. 246 (807) 33°57' 83°19' 17 9/55-12/72 Combined with Atlanta, Ga.
Atlanta~ Ga. 300 (984) 33°39' 84°25' 10 1/46-9/55 Combined with Athens, Ga.
Big Springs, Tex. 784 (2572) 32°14 1 101 °30' 5 7/49-11/53 Combined with Midland, Tex.
Bismarck, N. Dak. 505 (1657) 46°46' 100°45' 27 1/46-12/72
Boise, Idaho 867 (2845) 43°34' 116°13' 27 1/46-12/72 If
Boothville, La. 1 (3) 29°20' 89°24' 8 3/65-12/72 Combined with New Orleans and Burrwood, La.
Brownsville, Tex. 7 (23) 25°54' 97°26' 27 1/46-12/72
Buffalo, N. Y. 218 (715) 42° 56' 78°44' 27 1/46-12/72
See notes at end of table.
Station
Burrwood , La.
Cape Hatteras, N.C.
Cape Kennedy, Fla.
Caribou, Me.
Charleston, S. C.
China Lake, Calif.
Cocoa Beach, Fla.
Columbia, Mo.
Dayton, Ohio
Del Rio, Tex.
Denver, Colo.
Elevation (m) (ft)
3 (10)
4 (13)
3 (10)
191 (627)
13 (43)
682 (2238)
3 (10)
238 (781)
297 (974)
314 (1030)
1611 (5286)
See notes at end of table.
Table I.--Continued
Approx. Period N W yrs of of
lat. long. record* record Notes
28°58' 89°22' 15 1/46-12/46 II 8/50-2/65 Combined with New Orleans
and Boothville, La.
35°16' 75°33' 27 1/46-12/72 II
28°14' 80°36' 14 11/56-5/70 Combined with Cocoa Beach, Fla.
46°52' 68°1' 27 1/46-12/72
32"54' 80°2' 27 1/46-12/72
35°41' 117°41' 15 1/46-12/72 Many long and short gaps.
28°14' 80°36' 7 2/50-11/56 Combined with Cape Kennedy, Fla.
38°58' 92°22' 25 1/46-8/70 II
39°52' 84°7' 21 12/51-12/72
29°22' 100°55' 19 1/54-12/72
39°46' 104°53' 24 10/48-12/72 II
..... Vt
..... 0\
Table I.--Continued
Approx. Period N w yrs of of
Station ~) (ft) lat. !,ong. record Notes --Dodge City, Kans. 791 (2595) . 37°46' 99°58' 27 1/46-12/72 II
El Paso, Tex. 1193 (3914) 31°48' 106°24' 27 1/46-12/72 II
Ely, Nev. 1908 (6260) 39°17' 114"51' 27 1/46-12/72 #
F+int, Mich. 236 (774) 42°58' 83"44' 16 9/56-12/72
Fort Huachuca, Ariz. 1419 (4656) 31°34' 110°20' 12 1/55-12/59 6/63-11/66 10/67-7/71
Fort Smith, Ark. 136 {446) 35°20' 94°22' 11 3/53-5/64 Mostly Feb.-Sept. 1953-9; Feb.-June 1960-64
Fort Worth, Tex. 180 (591) 32°46' 97°25' 23 9/49-12/72
Glasgow, Mont. 696 (2284) 48°13' 37' 27 1/46-12/72
Goodland , Kans. 1113 (3652) I 101°42' 9 7/52-9/56 Mostly May-Sept. 6/58-9/61
Grand Junction, Colo. 1474 {4836) 39°07' 108°.32' 26 12/46-12/72 #
Great Falls, Mont. 1118 (3668) 47°29' 111°22' 27 1/46-12/72 II
Green Bay, Wis. 210 (689) 44°29 f 88o8t 20 3/53-12/72
See notes at end of table.
Table !.--Continued
Approx. Period Elevation N w yrs of of
Station (m) (ft) lat. long. record* record Notes
Greensboro, N •.. c. 273 (896) 36°5' 79°57' 27 1/46-12/72
Huntington, W.Va. 246 (807) 38°22' 82°33' 14 1/46-8/48 12/61-12/72
Huron, S. Dak. 392 (1286) 44°23' 98°13' 15 6/57-9/61 Mostly June-Sept. 6/63-8/72
International Falls, Minn. 360 (1181) 48°34' 93°23' 27 1/46-12/72
Jackson, Miss. 94 (308) 32°19' 90°5' 19 3/53-4/55 Mostly Feb.-Apr. 2/56-12/72 All year.
Jacksonville, Fla. 5 (16) 30°25' 81°39' 19 8/5Q-4/69 Combined with Waycross, Ga.
Joliet, Ill. 179 (587) 41°30' 88°10' 7 1/46-3/53
Key West, Fla. 3 (10) 24°33' 81°48' 19 4/54-12/72 Navy Observation.
Lake Charles, La. 5 (16) 30°7' 93°13' 27 1/46-12/72
Lander, Wyo. 1696 (5564) 42°49' 108°44' 21 1/46-12/72 II
Las Vegas, Nev. 660 (2165) 36°5' 115°10' 21 1/46-10/66 Combined with #Yucca Flat, Nev.
Little Rock, Ark. 19 (259) 34°44' 92°14' 27 1/46-12/72 II
See notes at end of table. ..... ,..,
Elevation Station . (til)_ .. - J!J:)_
Long Beach, Calif. 10 (33)
Medford, Ore. 401 (316)
Miami, Fla. 4 (13)
Midland, Tex. 874 (2867)
Montgomery, Ala. 57 (187)
Nantucket, Mass. 14 (46) ..
Nashville, Tenn. 180 (591)
New Orleans, La. 2 (7)
New York, N.Y. 5 (16)
North Platte, Nebr. 847 (2779)
Oakland, Calif. 6 (20)
Ogden, Utah 1358 (4455)
See notes at end of table.
Table I.--Continued
Approx. N l.J' yrs of
lat. long. record*
33°49' 118°9' 7
42°22' 122°52' 27
25°48' 80°16' 27
31°56' 102°12' 19
32°18' 86°24' 24
41°15' 70°4' 27
36°15' 86°34' 27
29°59' 90°15' 3
40°39' 73°47' 16
41°8' 100°41' 27
37°44' 122°12' 27
41°11 1 112°1' 11
Period of
record
12/48-4/56
1/46-12/72
1/46-12/72
11/53-12/72
1/49-12/72
1/46-12/72
1/46-12/72
1/47-7/50
9/56-12/72
1/46-12/72
1/46-12/72
1/46-8/56
Notes
Combined with Santa Monica, Calif.
If
Combined with Big Springs, Tex.
n
It
Combined with Burrwood and Boothville, La. #
I!
Combined with Salt Lake City, Utah. II
..... 00
Table !.--Continued
Approx. Period Elevation N w yrs of of
Station (Ill) (ft) lat. long. record* record Notes
Oklahoma City, Okla. 392 (1286) 35°24' 97°36' 21 1/46-6/67 Combined with Tinker AFB, Okla.
Omaha, Nebr. 403 {1322) 41°22' 96°1' 20 1/46-12/47 9/54-12/72
Pensacola, Fla. 36 (118) 30°28' 87°12' 12 9/55-10/67 Sporatic Obser. Combined with Valparaiso AFB, Fla.
Peoria, Ill. 200 (656) 40°40' 89°41' 16 9/56-12/72 Combined with Rantoul, Ill.
Phoenix, Ariz. 341 (1119) 33°26' 112°1 1 12 1/46-1/58
Pittsburgh, Pa. 361 (1184) 40°32' 80°14' 27 1/46-12/72
Pt. Arguello-Vandenberg AFB, Calif. 23 (75) 34°34' 120°40' 13 7/59-12/72 Combined with Santa Maria,
Calif. Gap 3-11/65. #
Pt. Mugu, Calif. 8 (26) 34°7 1 119°7 1 21 1/52-12/72 Many gaps in record.
Portland, Me. 20 (66) 43°39' 70°19' 27 1/46-12/72
Quillayute, Wash. 56 (184) 47°57' 124°33' 6 8/66-12/72 Combined with Tatoosh Island, Wash.
Rantoul, Ill. 23 (75) 40°19' 88°10' 8 1/49-10/56 Combined with Peoria, Ill.
See notes at end of table. ..... \0
N 0
Table I.--Continued
Approx. Period Elevation N w yrs of of
Station. _{&__(!!) lat. ~· record* record Notes
Rapid City, N.Dak. 966 (3169) 44°3 1 103"4' 27 1/46-12/72
St. Cloud, Minn. 316 (1037) 45°35 1 94°11' 26 5/47-12/72
Salem, Ill. 174 (571) 38°39' 88°58' 4 6/69-12/72
Salem, Ore. 61 (200) 44')55' 123°1' 17 6/56-12/72 I!
Salt Lake City, Utah 1288 (4226) 40°46' 111°58' 16 8/56-12/72 Combined with Ogden, Utah.#
San Antonio, Tex. 243 (797) 29°32' 98°28' 20 1/46-6/66 Combined with Victoria, Tex.
San Diego, Calif. 124 (404) 32°49' 117°8' 27 1/46-12/72 /i
San Nicholas Is., Calif. 153 (502) 33°15' 119°27' 20 9/52-12/72 Gaps in record.
Santa Maria, Calif. 74 (243) 34°54' 120°27' 13 1/46-6/59 Combined with Pt. Arguello, calif. 11
Santa Monica, Calif. 38 (125) 34°1' 118°27' 10 4/56-9/65 Combined with Long Beach, Calif.
Sault Ste. Marie, 221 (725) 46°28' 84°22' 27 1/46-12/72 Mich.
Seattle, Wash. 125 (410) 47°27' 122°18' 18 1/46-1/64
See notes at end of table.
Table !.--Continued
Approx. Period Elevation N w yrs of of
Station (m) (ft) lat. long_. record* record Notes
Shreveport, La. 79 (259) 32°28' 93°49' 21 6/52-12/72
Spokane, Wash. 720 (2362) 47°38' 117°32' 27 1/46-12/72 Gaps 10/51-3/52; 5-6/52 H
Tampa, Fla. 8 (26) 27°58' 82°32' 27 1/46-12/72
Tatoosh I., Wash. 31 (102) 48°23' 124°44' 21 1/46-7/66 Combined with Quillayute, Wash.
Tinker AFB, Okla. 397 (1303) 35°25' 97°24' 4 7/67-3/71 Combined with Oklahoma City, Okla.
Topeka, Kans. 269 (883) 39°4 1 95°38' 19 12/53-12/72
Tucson, Ariz. 781 (2562) 32°8' 110°57' 21 9/51-12/72 Gaps in early record. n
Valparaiso, Fla. 29 (95) 30°29' 86°43' 3 10/67-5/70 Combined with Pensacola, Fla.
Victoria, Tex. 33 (108) 28°51' 96°55' 6 7/66-12/72 Combined with San Antonio, Tex.
Waycross, Ga. 44 (144) 31°15' 82°24' 4 4/69-12/72 Combined with Jacksonville, Fla.
Wallops I., Va. 2 (7) 37°51' 75°29' 9 10/63-12/72
Washington, D.C. 85 (277) 38°59' 77°28' 27 1/46-12/72
See notes at end of table. N ....
N N
Table !.--Continued
Approx. Period Elevation N w yrs of of
Station _(ll\) ___ (~j:_l lat. .long. record* record Notes
Winnemucca, Nev. 1312 (4304) 40°54' 117°48' 17 .5/56-12/72 II
Winslow, Ariz. 1492 (4895) 3.5°1' 110°44' 11 11/61-12/72
Yucca Flat, Nev. 1198 (3930) 36°57' 116"3' 6 10/66-12/72 Combined with Las Vegas, Nev.
Yuma, Ariz. 59 (194) 32°40' 114°36' 16 7/55-7/71
ALASKA STATIONS
Anchorage 45 (148) 61°10' 150°1' 20 1/SQ-12/69
Annette 37 (121) 55°2' 131°34' 20 1/SQ-12/69
Barrow 8 (26) 71°18' 156°47' 20 1/50..12/69
Barter I. (48) 70°8 1 143°38' 17 4/53-12/69
Bethel 39 (128) 60°47' 161°48' 20 1/SQ-12/69 Gap 8-11/58.
Cold Bay 30 (98) I 162"43' 18 2/SQ-11/53 8/55-12/69
Fairbanks 135 (443) 64@49 147° ' 20 1/SQ-12/69
King Salmon See Naknek
See notes at table.
Table !.--continued
Approx. Period Elevation N w yrs of of
Station (m) (ft) lat. long. record* record Notes
Kotzebue 5 (16) 66°52' 162°38' 20 1/SD-12/69
McGrath 103 (338) 62°58' 155°37' 20 l/5D-12/69
Naknek 99 {325) 58°41' 156°39' 17 5/53-12/69
Nome 5 (16) 64°30' 165°26' 20 1/56-12/69
St. Paul I. 10 {33) 57°9' 170°13' 20 l/5D-12/69
Shemya 38 (124) 52°43' 174°6 1E 20 3/SD-12/69
Yakutat 12 (39) 59°31' 139°40' 20 l/5D-12/69
SHIP STATIONS
Ship Station H + 36°01 1o•o• 5 1-3/46 5/49-6/54
38°0' 71 °0' 3 2/7D-12/72 Gaps in May, June, July
Ship Station N + 30°0 14o•o• 26 8/46-2/72
31•o• 14o•o• (7/1/54)
J2•3o' 135•o• (7/1/53)
33•o• 135°0' (1/1/51 earliest published position)
See notes at end of table.
N w
N
""' Table 1.--Continued
Approx. Period Elevation N w yrs of of
Station _(!n)_ -- (ft) lat. long. record* record Notes ---Ship Station P + 50°0' 145°0' 24 8/46-8/71 Gap 6/47-8/48
FOREIGN STATIONS
Mer ida, Mexico 11 (36) 20°57' 89°40' 18 1/46-12/47 10/56-12/72
Hamilton Field, Bermuda 33 (108) 32°18' 64°47' 27 1/46-12/72
Guadalupe 1., Mex. 6 (20) 28°53' 118°18' 2 1/71-12/72
* Large gaps are noted, but smaller gaps are omitted. Years of record are between 1946 and 1972,incl. Years of data the same excepting stations with 8-yr means as noted.
IF Stations or combined stations with 8-yr means.
+ 6 to 9 m (20-30 ft) depending on type of ship.
Table 2.--Comparison of 8·yr mean to 27-yr mean precipitable water.
Sfc-850 mb Sfc-400 mb Avg. ratio Avg. ratio
Yrs of Mean w- wp (27 yrs) Mean w- w; (27 yrs) Station Month Sfc-85b mb (8 yrs) Sfc-408 mb w- (8 yrs)
p (em) (em) -
Glasgow, Mont. 27 Jan .14 .58 8 .13 . 60
27 Apr .26 .86 8 • 25 . 84
1.078 1.064 27 July .62 .96
8 .57 .81
27 Oct .31 1.07 8 .28 1.01
Greensboro, N.C. 27 Jan .48 1.20 8 • 44 1.12
27 Apr .74 1.65 8 .71 1.59
1.027 1.031 27 July 1.61 3.52 8 1.58 3.40
27 Oct .93 1.96 8 .93 1.97
Lake Charles, La. 27 Jan .99 1.87 8 .99 1.82
27 Apr 1.41 2.41 8 1.45 2.43
1.008 1.015 ~
N 0\
Table 2.--Continued
Sfc-850 mb Sfc-400 mb Avg. ratio Avg. ratio
Yrs of Mean w w~ (27 ~r) Mean w w2 (27 lr) Station Record Month Sfc-85b mb w (8 yr) Sfc-408 mb w (8 yr)
(em) p (em) p Lake Charles, La. 27 July 2.29 4.30
8 2.22 4.15
27 Oct 1.50 2.67 8 1.48 2.68
North Platte, Nebr. 27 Jan .14 .67 8 .14 .68
27 Apr .25 1.05 8 .24 .99
1.067 1.057 27 July .72 2.59 8 .68 2.43
27 Oct • 32 1.25 -8 .28 1.16
Pt. Arguello - Santa 27 Jan .64 1.22 MB.ria, Calif. 8 .63 1.20
27 Apr • 75 1.31 8 .66 1.12
1.087 1.082 27 July 1.02 2.08 8 .92 1.92
27 Oct • 85 1.59 8 .79 1.49
Table 2.--Continued
Sfc-850 mb Avg. ratio
Yrs of Mean w--:: wR (27 yr) Station Record Month Sfc-ssB mb w (8 yr)
(em) p
Quillayute - Tatoosh 27 Jan .59 Is., Wash. 8 .62
27 Apr .65 8 .62
1.036 27 July 1.04 8 .95
27 Oct .86 8 .84
Mean vr:: Sfe-400 mb
(em) 1.16 1.25
1.22 1.16
1.96 1.80
1.69 1.65
Sfc-400 mb Avg. ratio
wp (27 yr) wp (8 yr)
1.029
N -...J
N
Table 3.--Comparisons of mean precipitable water (em ) 00
Jan Feb Mar Apr MC!l, Jun July Aug Sept Oct Nov Dec Portland, Me. S* .69 .67 .82 1. 22 2.10 2.87 3.01 2.79 2.55 1.72 1.24 .85
R .73 .68 .80 1.18 1. 76 2.44 2.93 2.84 2.18 1.65 1.16 .77 L .77 .73 .83 1.17 1.68 2.36 2.74 2.66 2.20 1.58 1.24 . 85
Washington, D.C. s .99 .88 1.14 1.54 2.45 3.62 3.87 3.64 2.92 2.26 1.43 1.19 R 1.13 .98 1.13 1.65 2.39 3.08 3.56 3.56 2.80 2.04 1. 34 1.04 L 1.05 1.00 1.13 1.58 2.20 2.88 3.35 3.27 2.73 1.89 1.39 1.10
Charleston, S.C. s 1.51 1.42 1.82 2.20 2.83 4.27 5.01 4.53 3.73 2.62 1.99 1. 82 R 1. 74 1.65 1. 79 2.15 2.96 3.79 4.45 4.39 3.81 2.68 1.92 1.66 L 1.65 1.60 1. 73 2.10 2.82 3.61 4.23 4.23 3.63 2.60 1.91 1.68
Miami, Fla. s 2.67 2.52 2.90 3.00 3.63 4¥5-'7 4. 77 4.99 4.95 4.18 3.36 3.03 R 2.31 2.39 2.55 2.91 3.42 4.26 4.53 .4.64 4.68 3.96 3.00 2.60 L 2.45 2.41 2. 2.78 3.34 4.17 4.30 4.41 4.50 3.81 2.94 2.56
Brownsville, Tex. s 2.58 2.59 2.49 2.98 3.60 4.34 4.19 4.41 4.47 3.64 3.03 2.82 R 2.35 2.43 2.60 2.99 3. 3.82 4.19 4.19 4.21 3.32 2. 72 2.49 L 2.28 2.30 2.40 2.85 3.34 3.76 4.00 4.09 4.16 3.33 2.72 2.46
Oklahoma City, s 1.08 1.11 1.24 1.89 2.57 2. 71 3. 71 3.99 3.14 2.20 1.41 1.22 Okla. R 1.04 1.04 1.16 1. 70 2.50 3.25 3. 71 3.61 2.66 1.99 1.23 1.06
L .96 1.01 1.11 1.66 2.29 3.01 3.50 3.31 2.74 1.88 1.26 1.04
Sault Ste Marie, s .60 .62 .69 1.08 1. 79 2.48 2.65 2.72 2.15 1.58 1.01 .73 Mich. R .56 .54 .64 .98 1.39 2.10 2.50. 2.46 1.93 1.52 .92 .63
L .59 .56 .68 1.00 1.44 2.11 2.34 2.35 1.98 1.48 .98 .70
Bismark, N.D. s .68 .71 • 80 1.32 1.68 2.34 2.96 2.74 1.98 1.45 .94 .84 R .53 .57 .64 .96 1.47 2.18 2.58 2.52 1.81 1.29 .• 79 .62 L .56 .60 .66 .95 1.42 2.05 2.35 2.24 1.66 1.19 .79 .63
*S = Shands 1949 wp for surface to 410 mb, 3 to 5 yr of record once/day observations. R = Reitan 1960 wp for surface to 325 mb, 11 yr of record once/day observations. L = Lott 1976 wp for surface to 400 mb, 27 Yr of record once/day observations.
.. SAN N!CtHllAS !S.
--
• GREAT fAUS •
GlASGOW
81$ Sf>RINGS _) .. ,. ... MIOl.AHO
OABIHHF
AIO
Figure 1.--Station locator~ Contiguous States.
& XEV W£$1
N '-0
120°
"~o.
~ ..._'?3
<Joo
-,..........__ / /""-.....__
@I --1 \ _ji
-i J ® '-..-_~~ I {
./ ' .... '® ( \,
............. , ,l® .... -..... ./- -........ • )'--.., I I /1, ............. ,,_ /
!lfi\ r /~ / \!.I I -.., \':/
t I I
\ / ® ' .... ._ __ \ !'::\I t ----
\ \!I/ / - f C!1 \ I I J
\ I ® ® 1-----\@ / / :.
• \ ,'--- I : \ --- I I \ /'./ - ...... ,!_ ---...._ I ® \l / ------:-:~--,~ • 1 '
( / ® f ® ----.-( e I I
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\
•
-- •
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'v--~, '
[!] T&st station· 8 yr. vs. 27 yr. mean
eo• eo•
Figure 3.--Location of stations with 8-yr meaus and test stations.
•
~
b.~
'?>o•
(.N .....
32
January February
Harch April
May June
Figure 4.--Contiguous States, mean monthly precipitable water, surface to 500mb, January- June (em).
July
September
~~-
1
I
I
' I
"!
I ,, ,I
August
October
November December Figure 5.--Contiguous States, mean monthly precipitable water, surface to
500mb, July- December (em).
33
34
January February
March April
May June
Figure 6.--Contiguous States, mean monthly precipitable water, surface to 150mb above the surface, January- June (em).
July August
September October
November December
Figure 7.--Contiguous States, mean monthly precipitable water, surface to 150mb above the surface, July- December (em).
35
36
January February
.L
March April
Hay June
Figure 8.--Alaska, mean monthly precipitable water, surface to 500mb, January- June (em).
July August
.I September October
November December
Figure 9.--Alaska, mean monthly precipitable water, surface to 500 mb, July- December (em).
37
38
January February
March April
June
10.--Alaska, mean monthly precipitable water, surface to 150mb above surface, January- June (em).
July August
September October
November December
Figure 11.--Alaska, mean monthly precipitable water, surface to 150mb above the surface, July- December (em).
39
1.?0 1.18 1·16 , ·14 1.}2 1ol0 1 .. oa 1.06 1.04 1.02 l•O'O ... ... ... .oz ... ... ... ... .az ... .,. .,. .74 .72 .,. ... ... ... ... ... ... ... ... ·52 ... ... ... ... ,., ... .,. ·" .,. ,,. ,,. ... . ,. ... .?.2 . ,. ... ... ... .!2 ... ... ... ... ...
:o.oo JAN FEB MAR A;~
/IIEAN MONTHLY PRECIPITABLE WAT€R
ABllt:N£• rex. src TO 150MB A801JE Sf"C f»]Y-RS. Of' DATA
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.70 . .. . .. . .. .., ... . .. . .. . ..
.52 ... . .. . .. . .. .., . .. ,,.
.36 ·34 .32 .,. . .. ., . . .. .?.2 ., . .. . . .. . .. ·12 ... . .. . .. . .. ..,
o.oo JAN ff8 MAR APN
MEAN 140NTHLY PRECIPITABLE WATER
A6TLEN£t TEX~o
Of' OATA COt-tSlN£0
MONTH 50
l 2 3 4 5 6 7
• 9 .. !1 12
MAY
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SEP OCT NOv OEC I!
h211 t~u 1·16 1·1" 1·12 1.-16 t.oe ioG& 1.04 1 ~1.12 1.00 ... ... ... ... .. , ... ... ... ,., ... ·" • 75
·" .rz • 10 ... ... .... ... ... ... ... ... ... ... ... ... .... ·" ... ... ... ·'' ·" ·" • za ... ·" ·" ·" ... • 16 ... ·12 .1(1 0
·" ... ... ·" ~.co
"" FEB ...
Sf;;
110tiTI1
1
• ' • 5
• 1
• ' 10
11 12
• •• ""
MEAN MONTH\.'f P'REJ.:l:P'lTA.Ot.£ WAT£f<
AlBAJfft lh T *
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' ,.214DJ I .112:!ll t .14Ul { .. !lB73J
• ii't. t RI.:;.HT SClLE) •
30
"
20
"
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0 •
JUNE JUI..Y AU< SfP OCT NOV OfC
i.2& 1 .. 18 1.16 1.-1 .. 1o12: 1.10 1~08
1.1111 1.0c. 1o02 1o00 . .. . .. . ... . .. ... . .. . .. . .. ... ... ...
.76
·"' ... .TO . .. . .. . .. . .. .. , . .. . .. . .. .sz . .. . .. . .. ·" .... .... . .. . .. ... ·" ... ·2:8 0 . .. ... ·" . ., . .. ·1· .14 ·12 ... ,,. . .. . ... ·" o.o~
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1 • ' • ' • 7
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MUN liONtKlf PRECIPITAfil£ MA1E~ ~
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( .33441 .517& I .~391
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t.oo ... ... ... ... ... ·&• ... ... ... ... • 78 • 76 ,,. ... • 10 ... ... ... ... ... • se ... ... ... ... ... ... ... .42 ... . ,. . ,. . ,. ·32 .,. ... ... ... ••• ... ... ••• ... ... •lG 0 ... ... ... ...
o.o-o JAN r£e H .. APR
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A1..81JQU£ll001h N. MEX ..
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MONr'H MEAN 50 CM, (JN.) CM, IH'f,.)
.3009 .11&4> .. 1)91 o0541H
.;?890 .. 11381 .u't3 .0462)
.29"62 .. 11661 .H40 .0449)
.3:133 .1312) .. 13!7 .05181
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• .6388 .2515) .2S27 .0995)
' 1..0559 .4157) .2968 ~ l}681
" I.fl101 .. 4215> .2'756 .10851
• .&192 .3225) .3031 .1193) ,. .5$31 .. 2177) .2509 .0988) }I o38ZS I .150,6) ~1487 .0585) ,, ,3169 ( ~t248l .1468 { .0578)
= SEQOENTUL MONTHS. DEPTH - JNdLEt'T SCALEt - io!M,.fRlGH'f SCALf:) • VAtUEo
25
zo
15
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I 2 3 4 s b 7 8 9
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MfAN H()NfHI..Y PR£tlPJHSLE OfATEA
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HEAN 50 CM, (JNot CM, tiN.l
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25
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JUf't£ JUL'T' AUG SEP oCt NOV OI'C t
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' ,.7919 ~ ,.:UHH .l090} 6 1.1482 ( .452<n .uo::u ' 1 .. 3846 { .545}} .a9c59)
• 1 .. 3612 ~ .s:l59J .0967)
" 1 .. 1407 c .4491) ,.1288) !0 .1127 I .,Z8{16J .1()85)
" .sM5 I .2006' .. 0768) I< .3863 I .1521) .0593)
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30
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15
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MAY JUNE Jvlv AUG S£P O~l NOV DEC
1.20 1.18 lo.16 l .. t4 l.J2 1 .. 10 1.oa 1·06 1.(14 1·02 t .. oo . .. . .. . .. . .. . .. . .. . .. . .. . .. . .. ., .
• 76 .74 .n ., . . .. . .. . .. ... . .. . .. . .. . .. . .. ... . .. . .. . .. . .. . .. ., . .l6 . .. .32 ·30 . .. ,.z6 o . .. ... . .. . .. ., . .,. ·" .,. . .. . .. . .. . ..
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MEAN MoNtHLY PRECIPiTABLE WAT£R .. .. AHARILlOt TF.X~
CH, UN,.) CH, tiN.}
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1.3425 ( ,.5285) ,.442'6 .17421 },9479 ( ,.7669) .5744 .. 2262l 2.4842 ( .9'180) .4941 .1945) Z.4ZBZ { .(}560) .sots .£974) 1.9405 c .,7640) .5993 .. Z360} 1.2575 ( .,4951) .4&01 .lf!9?)
,.8841 ( .,3481) .. 1087 .. 1?'15) .. 7091 ( .2792) .2871! .1133)
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30
25
20
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JuNE JULY AUG SEP ob NOV DEC
L•6G t.ss t.se. 1·54 loSC loSO 1.413 1.46 1.44 l-42 1.40 lo38 1.36 lo34 l.-3C t.31i 1 .. ~8 1.26 1.?4 loC2 loCO l·l a 1·16 1.14 l .. tc lo 10 t.Q& loQ6 lo04 1.n2 t .. oo ... ... ... •• z ... ·" ... ... ... ... .7& . ,. . ,. .72
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Sf"C fO 150M& AIOit£ sre l?VRS. Of' O~TA OOl<0.3tJ ANO lZl(tSl} Co.M&lN£0
:MONT" MEAN SO
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.62:79 oZ472t .3973 .15641
.6093 .2399) .3807 ol49<:J.l
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9 i.,Sf.\2:4 .61511 .3848 { .lSlSl 10 1 .. 0'988 o43Z6) o4468 { ~1159}
II ,7496 .295U .4161 { ,.163$1
I> ,6421 .. zsze:t ,.4(156 i .IS9n
• SE'OUENftAl f40NTHS. O£~n1 .. IN. (L£rT S<:AlEJ - MJI. HtrG-.T SCALF:) • VAL1JEo
"'' JuNe: JUlY '"" siP oCr NOV
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·" .,. ·" .?S ... ... ... .20
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JUNE JUl. y Atm s£;; OCT NOY
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X-AXlS S£QUEHTtAI.. HOHtHS. y .. AXIS "' OEPTtt - nt. HEFT SCAt.EI - Hf't.tlUG+U SCAl..El .. 0 "' HEAN VAt.UE.
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• t.'971t0 ( .. 7172.) .Oil SO 1 2.~2:692 ' ~8Uif.) .&369
• 2,.156S ' .. $4901 .61$0
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·>• ,,. ·lZ •JO ... . ,. ... ... ... ... ·16 0 ·I• ... ·10 ... ... ... ...
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MUN MONTHLY PR£CtPlTA8L£ VAT£R
IOlSEt lOA.
Sft TO 15&JIII IIIOV( SF(: 8YRS. OF DATA ttlt03Zl AND 12ZHSZI CO'MBlW£0
I'IONlH """" •• CH. (tN.l tH, fiH.,l
.4303 ( .. 1694-l .l864 • .,0734}
.4155 { .. t636l • 1440 t .ns67t
.3950 ( .. l55-5l .1411 I ,.OS79t 4 .4458 ( .1155) .1501 I .,0591) s .sn• C fZ2341 .1712 { .06741
• .'7562 c .29771 .2083 t .oszot 1 .7616 ( .30071 .21)96 t ,.08l51
• .7572 ~ .29811 • 1969 { .0175}
• ,.6584 ( .2592) .. Zl~<J t ,.083Sl 10 .s!e3 { .2&80) .1646 ( .,0648} II .. 5037 ( .l983t .l$95 { ,.062&t
1Z .:3967 t .1562J .1486 ( .,0585)
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. .. . .. ... ... ., . ., .
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x-UJS • SUU€NTJAL MONTHS., Y-AXIS • DEPTH- JN.Il[f"T SC:At.f•- MM.,(RJGH:t SCAL~t. 0 • KEAN V.lLUE.
JUNE JUU AUO OCT nov
25
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.~..oqoe { ,q.£198} .4807 I .18'i21 1.62
• .1:17S7 ( .J4<t81 .44-29 I .17-.41 1o60 "' J 1.1H.96 { .39751 .~t64? 'oU?'JI 1.58
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" 1..2!.57 ( ,~j78&! .5557 1 .2108) 1.38 lo.>b
.. til'h fiUGiil' SCALE• + 1.3~<,
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MEAN IJ.QNTMLY PRECtP!TARLE WATER
8~0WNSII!LLE, f£X.,
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El PASO' TEX.
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~ONfH M(Ar-1 SO CM, UN. I CM. I lN.!
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" 2.0142 • 7930l .?4851
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MEAN HONTiiLY PRECIPITARLE WATER
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SF'C TO 150MB AIWVE SfC 16YRS. OF DATA OOZI03Zl AND 12ZilSZI COMBINED
MONTH MEAN so CM. IINol CM. ~IN. I
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!0 .7527 ( .29631 .3384 ( .1332)
" .5251 ( .2068) .2785 ( .1096) 12 .3646 ( .1435) .2104 ( .0828)
X-AXIS "' SEQUENTIAL HONTHS. Y-AXIS"' DEPTH- INo(LEfT SCALE! - MM.(RJGHT SCALF:}• 0 = HEAN VALUE.
30
25
20
IS
10
HAY JUNE JUI.Y AUG SEP OCT NOV DEC
1·20 1.18 }.}6 }.)4
lol2 1.10 1.08 lo06 lo04 lo02 t.oo
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·" .o8 ... ... .oz
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JAN F[e MAR
HONTH
l 2 3 4 5 6 1 8 9
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APR MAy
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FLINTt HIC ...
SFC TO 500MB 16 VASa Of DATA 00ZI03l) ANO l2Z~l5l) COHBlNED
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.7895 ( .3108) .4849 ( .1909)
X-AXIS = SEQUENTIAL HONTHS. Y-AX!S = DEPTH - lN. CLEFT SCALE I - MH. CR!GHT SCALF. I. 0 ::: HEAN VALUEo
30
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10
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MONTH :;,o
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30
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Of DATA COMSlNED
so CM. fiN.)
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Joi[AN MONTHlY PRE<:JPIUM.E WA.TER
LAKE tHARt£5• lA•
SFC
-'" CM. tlN .. l CM. UN.,}
.9162 { .. l647l t .l9~U
,.8923 t .,JSIJ• { .. 1863) .9995 ( .,393~t ( ~asu . 1 .. 3157 f .. Slti-0) ( .1863)
• 1 .. 6022 { .. 63{)8~ ( .lSOSt .. 1.9332 ( .. 761U (.122M 1 2.,1212 { .,6351) ( .OQ44l
• 2.1046 ( .8286) ( .1074l
' 1.8887 ( .. 7436) ( .l6lll
•• 1.3835 ( .S447) ' .2033) II 1.0457 ( .4un ( .2115) IZ .9619 { .3787) < .zotcn
X-AXIS • SE0U£Nt1AL MONTHS .. y .. AJHS • DEPTH ... IN. H.EFT SCAlE) HM. HUGHT SCALE),. 0 "' MEAN VALUE•
••r JUNE MY AUG sfp oCr NOV
30
25
••
IS
10
G
ll£C
1.60 1.78 1.76 1.74 1.72 1.70 1·68 1.66 1.64 l·62 1 .. 60 1.58 1.56 1.S4 l·52 1.so 1.48 1.46 t.44 1 .. 42 lo40 l-38 l,,J6 1.:,\4 t.lZ 1 .. 30 1..2'8 1.26 I.Z4 t .. zl 1..2'0 1..18 1.16 1.14 1.12-l.lO 1-.0B: 1.{)6 l ~t~:4 t .. 42 t .. oo . .. . .. ... .., . .. ... . .. ... . .. . .. ., . ., . . .. ...
.. ro o ... . .. ... . .. ... . .. ... . .. ...
.so . .. . .. . .. . .. ... .,. ., . . ,. .,. ., . • zo . .. . .. .zz . .. . .. . .. .,. .12 ... . .. . .. . .. . ..
o .. oo JAH FEB •••
MONTH
¥ 10 11 IZ
APR
ME:AN HONTHU' PRf.Cli'ITABLE WAf£~
LAKE CHAPLES, LA •
SF'C TO 500NS 27YRS. 0-F OATA 00Zt03V ANO 12Z0Slt COMI'!-INED
HEAN 50 CM • HN.l CH. ON.l
• SEQUENliA.L HONTHS. • OEPlH .. IN. (LEF"l SCALE) - MM. IRH'\Hl' SCALf/') •
VAI.UE~
MAY JUNf JULY AUG StP OCT
45
••
35
30
25
20
15
••
NOV OEC
;)
" "'
80
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~E.A.N I-IONlHLY PRECIPifA6Lf WU£R
UfTlE P;OCI\;t ARK.
sr:: TO 15GH8 AS.OVE Sf'C tJ. !l"OZ(OJH ANG 12ZUSU
HONTH ttb\1'1 CH, HNol '"· .<;;&62 o2ZHI o$1!t(l .;';'02:41 .&526 .25&~1
loOJ51 .lo!IJ751 1o2302 ,lt8&1) 1.6611.1 o651ti! lo8f.>9& .nt.OI . 1.7'954 o7!1&9J
' 1. &393 ,6\JS-.l
" lo ~512 I oit1J91 11 .7?-30 t .Z'76Sl
" .&55& ( .zssu
x~AlGS : SfQIJENTlAt. MONTHS~
"" JUNE .JULY AUG
UNo I
>(1'f~UUGt1T SCALE;, ..
55
"
25
zo
"
"
0 •
Stf" OCT NOV utc
HUN MONTHLY PRECtPHA9t.E WAtER.
LlTTI. .. E 1\0CK~ LRo;,
HONTH CK, UN~- CH, UNo I
1o2/o16 ( .IJ86BI ( oZ!t'JZI 1.1355 l ,~.o<.rilt I ,(4'J(!I 1.J67"ii ( • 5 3 8 ~j) • 2~ 3ll 1o'J965 i .'1'1\601 oJ:I-951 2.3331 I •'H651 ,.H!,J41 3ol166 11,227~1 oZHU 3,6223 f1o42bU ,JZS2t 3,1.780 H.J6'JJI •. H07l 3:.1&'1!1 ho241':)1 .4)121
" 2.1015 ( o62741 • 3~ 8':i1 11 lo$3C3 ~ .~02!>1 .2H7J 12 1o4<i91 1 .57051 .:n5~<-1
THS, ~I'!. CIUGIH SCALE I• ..
3S
"
"
"
"
JAN FEB "'' APR "" JUNE JULY AUG StP ocr NOV OEC !:)
hOG ... ... ... ... ... • 8~ ... ... ... ... ,78 . ,. o74 .,. .,. ... ... ... ... ... ... ... ·"" ... ... ... ... ... ... ... . ,. .. 36 .,)4 .>2
·'' .?.e ... ... ·>2 .. 20 0 ·I· ·I· ·I· ... ... ... ... ... ...
o.oo JAN F(8 MAR APR
MEAN MONTttLY PRECIPITABLE VATE:fl
MEOFORO, OA:E.
sre to i50MI ABOVE src SYRS. Of' DATA OO:lUIJZl ANO 122<1521 COMBINED
MONTH HEAN SD CH. ~ JN,.) CM, tiN. J
.5499 ( .2165) .208~ .. 082CH
.S2SO ( .zo&n .1557 ,.06}3)
.5lt6 ( .2014) .1661 .. o654l
.5351 ( .. 2109) .1633 .0643)
.. 6840 ( .26-93) .1996 .o186l
.. 8479 f .3338) .2357 .. 092f.H
.. 8809 c .3468) .. zt72 .. 0855)
.. 8766 ( .34SU .. Z159 .. oaso; 9 .. 7610 ( .. 2996) .2510 ,.0988)
IO .6693 I .. <?63S) .21)57 .ooun I! .6586 ( ,.259::)) .1930 ( .0160) IZ .. 5232 ( .. 206{0 .1720 ( .0677l
)( .. AXIS a: SEQUENTIAL MONTHS. y .. Al(JS ..-DEPTH,. tN .. ILEf'T SCALE) - HM.HftG;.jf SCALE). () "" MI!AN VALUE •
25
zo
15
10
0 5
MAY JUNE JULY A\113 S(P ocr N!lV OEC
t .. oo ... . .. . .. . .. . .. . .. •• 6 . .. .az . .. .78 .76 .74 .72 .70 . .. . .. . .. .62 .60 .sa . .. . .. .sz . .. . .. . .. .44 0 . .. ... ., . .)6 •34 .32 .)0 .. .?A ... ·" .zz ... ·I· ·I· .,. ., . .10 . .. ..6 . .. . ..
o.oo
JAN "" ...
MONTH
I 2 3 4 5 6 7
• • 10
" tl
APR ""
MEAN KONTttL'f PRECII"ITABt-E WATER :1l MEOFOROt ORE.
SFC TO S!>ON8 8YF!S,. OF DATA OOZtOJl> AND I22U5Z) CONSIHEO
MEAN so CM. (IN,.) CM, (JN.)
t.l306 .44$1) .4956 .19SU 1.0196 .4015) .3625 ~1427)
.913:8 .,383M .3640 .1433l 1.0036 .,3951) .3419 .. 13461 1 .. 2596 .4959) ~4059 .. ts98J 1 .. 15904 .6222) .4702 .tesu 1~6403 ~6458) .42'71 .. 1684) 1 .. 6477 .. 6487) .IM!>ZS .182'}) 1.4323 ..5639) .4638 .18261 1.2718 .soon .. 4028 ,.}S,S6i 1.2964 .,!H04) .4587 .1806) r.oss9 1 .4lS7) .4039 t .1590)
~-AXIS • SEO:OENTIAL MONTHS .. Y-AXIS ..-DEPTH .. 1N.fL!f'T SCALEI .. MNd~!GHT SCALE). 0 "' M£'AN IIALUE.
25
?.0
IS
010
JUNE" JIJLY AUO ... OCT NOV OEC
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MEAN HONlHLY P~EC1?1TASLE WATEA MEAN MONTHLY PRE:e!Pili.Sl.E VATER .. .. MmLAHP. ;ne St>l!liGS. nx.. :moJ.J.tll)...ll'lrSlJ!.l't'Ws. tu.
SfC TO 150M9 ABOVE Sf'C 24YRS., Or DATA Sf'C TO SOOMB Z4'fRS, OF DATA (lOZ(OJl) ANO 122HSZ> COM8JNEO OOZ(O.lll ANO 12Ztl5Z1 CCMBtNED
HCNlH HEAN so MONTH HUN so . CM. UN.I c•. {lN. I CM, UN.,) CH, UN.l
.. 4275 ( .1683) .1959 c .0771> ·I .8060 ( .3173) • .a.S27 ( .13891
.422$ c .16631 .1797 ( .0101) 2 .1&05 ( .3013) .. 3333 ( ol312)
.,4974 ' •. }958) .2330 { .. 0917) J .8893 t .. 35QH .3817 c .1503) . .. 6?'07 ( o2640) .3017 ( ~l21U • t..l609 { .4$11) o4969 ( .19561
' .,9S09 ( .3744) .. 3565 ( ol4041 ' t..$895 I .,6Z58) .5448 { .21451
• •• 2616 ( .49671 .3286 { .1294. . 2: .. 1711 ( .8548) o5763 ( .2269)
' l.JB'ta t .. 544lH •27JZ { .. 1076) ' 2:.5773 {l.Cl47l .5587 ( o2191H • 1.4:!3l ( .!%42) .2752: { .,J0.@3) " 2:.6572 Uo046Jl .5610 ( ·2232, v •• 3430 € ~szan .3501 t .,!J7~D v 2·3158 ( .9353) .'6939 ( .2732)
10 .,8921 ( .3512) .35-82 { .1416} 10 } .. 5643 ( .6159) .6318 ( .2-4-81) II .6014 t .2368) .2547 I .tOOJl tl t.06&0 ( .4Z05l .4462 ( .1757) I .. 4'511 ( .. 11~-Ql • 1957 { .0770) •• .8551 ( .33661 .o3776 ( .. 1486)
,.. !ofM,. tlltJGHT SCALF) • X•AXl$ • $EOUENTUL MONlHS• v .. uts • t)[Pftt .. H.f.CLEFT SCAL£> - MMatRtGHl SCALf)•
VALUE•
1.40 35 1·40 35 1.36 . l.JS 1.36 la36 lo34 1 .. :!4 1.32 1 .. 32 h30 1·30: t.ze l.ta 1·26 .... h24 1.24 I-2'2
30 1.22 30 1·20 1·20
1.18 1 .. )8 1.16 1 • u~ 1·14 1 .. 14 lelZ Lol2 1·10 lelO t~oa t.oa 1·06 t.o6 1.04 1·04 1.02
25 1.(12'
Q 25 t.oo 1.oo ... ... ... . .. ... . .. ... . .. •• o . .. ... ... ... . .. ... . .. • sz • • ... • • • eo ... ., . ·1· • 76 .76 .,. ·" .72 .12 .70 .70 ... ... ... . .. ... . ..
0 ... 15
... 0 ,; ... ...
• se . .. ... 0 ... .•. Q ... ... 0 .52 • so . .. ... 0 ... ... . .. ... . .. ...
10 . ..
10 ... ... . ,. ., . . ,. 0 0
., . . ,. ., . .,. .,. .,. .30 0 •?B .?.8 ... 0 ... ...
0 ·24 ·22 5 .?.2 ... ·20
·'" 0 0
.,. .. 16 0 0 ... . ,. . , . ·12 .!2 . ,. ... ... ... ... . .. ... . .. ·•? • ...
li•OI> fhOD . . APR "" JAN "" H~R JUNE JULY AUG SEP oCT ..,. OEC JAN FEB ••• APR "" JUNE JUI.Y AUG SEP OCT NOV OEC
MEAN loiQNTtit,.Y P~ECIPll'Ael£ !IIATF!i
~ONlGOMERV, ALA.
SF"C TO 150148 ASOVE StC 8 'fRSt OF DAU OOZHl3Z1 ANO liU<l5l} COMBIN-ED
~ONTH M(,6N SO CN. (fNol c•. (lN. I
.1301 ( .2614) ,.44tH ! .1756)
.62BB ( o2'47bl .3915 l ""1541 t
.7949 ( .JlJQ) .4526 .17B2J 1.1077 ( .4361} .4fi96 .. 1849) t.J3SZ ( ~s-~sn .. 3689 .14521 lo6'913 { .6682) .3575 .1407) 1.9635 { .17301 .2654 .1045}
" 1.9~)1 ( .78001 .2982 .-t174l y 1.1102 ( o6969t .:H04 .1"'58)
10 lol?G6 ( .,4806) .47Z9 .lf!61H ll .8~24 ! .. 3356) o440i? .t'fJJ) 12 o7924 I •. :UlOI .4719 ' .u;sa>
= S€0UfNTIAL. loiQtiTM'5. 11t PE'PTH- lNdLEFr SCALf!) - MM.dHGHT SCALI'.).
VALUE ..
JAN FEB ... APR "" JUNE JII!.Y AUG SEP OCT NOV
"
2S
?.0
15
10
DEC
loRO lo7S 1.76 lo74 1.72 1.70 lo66 1.(,6 lo64 lo62 1..60 t.sa t .. S6 1 .. '54 1 .. 52 1 .. so lo48 1.46 Lo44 l .. 42 l..40 l.JB lol6 loJ4 1.~2
1·30 l.?a lo26 l.Z4 1·22 1.20 !olfl } .. 16 1.14 1.12 l.l{l 1.08 1 ~o6 1.()4 1.02 t .. oo ... ... •• 4 •• 2 • .o ... • a • ... ·Al .RO .18 .76 .74 .12
·" ... ... ... • 62 0 ... .,. . , . • 54 ... .so ... ... ... .42 o40 .,. ·" .,. ·" ·" .,. .?6 ·24 ·>' ·" ·" ·1· ... ol2
·1· .,. ... ... ·02
o.oo JAN
45
40
35
,.
2s
20
MEAN MONTHLY PR(CtPliAF!lE WATER 15
140NTGOM(RY• ALA •
SfC TO 5001-48 8 'I'RS. lhi:Z\0321 ANP 12ZOSZl
t<.:QNTH Kf.AN
"· tiN.l CN. UN.)
1.51'62 ( ·6206) .8738 ( .34401 l .. 3648 t .Sl7Jl ,.184-S .~OMJ 10 1 .. 6142 ( .6315$) .81143 .34{13} l.OB42 ( .9205) "'9(}16 .3550) 2.4828 ( .9175) .7895 .:n osj . 3 .. 2482 n.neA> .8252 .32"49)
I 3,.8943 n .snz; ~ 7357 ,.('89-61
• 3,.9430 H,.SS24) .,8-)98 .. 3?281 9 3.4391 n.l'540) .9068 .,3570)
10 2 .. 3316 ( .,9190) .,9968 .3924)
" }.,68!3 ( "'6619) .a~e2 .33001 12 1.67!)7 ( ,.6601) .. 92'39 ( .3638)
)(,.,fi,)(IS eo SEQI]ENTiflL MONTHS,. V-AXfS DE;PTH "' IN• (l£H SCALE) ... ~*"• HHGHT StAlf i ~ 0 : MEAN
FER NAR APQ MAY JvN£ .JUL'I' •uo sEP OCT NOV DEC *
, ..... t.te t.:u; t.a~t !.32 s..3o 1.28 1·'26 1.24 1.z2 1·2t'! t.ta taG 1.14 L.U~ i.J."' t .. f'a 1.116 t.tlt. ,1..(12 1.:0n ... ... .•. ·•t ... ... ... ... ... ... ... .16 ... ·" ... ... ••• ... • oz ... . u ... ... ... ... ... ... ... ... ... ... . ,. ... ... •. !1!' ... ... ··~ ... ... • u ,.J.t; 0 ... ... • 10 ... ·" ... ...
a.oa JAN ... ••• • ••
ttrAN MMfHt,. Y PAKlFITABU WAtER
HAHtUCKff., KAS$ ~
Sf'C TO 150M& ABOVE SF'C Z1YRS. OF O:UA O:UtUZt AMU lU:fUli Cott8!:KElJ
ftOtrtH ItEAM SO CH. UH:.l CK. ltH.t
• .4161 ( .1&33) .2:1SC. t .ue41
• .~90S ( .tur• .zsn ( .(19911
• ,.ffUt t tUSt.J .2663 t .thSJ
• o6063 ll .ann .308S t .UUJ s .,U60 « .J370) .:sua t .1~6t~
• 1.1991 i ,4'fZU .3893 t .un• 7 t.lt~tiit1 t .. uacat .3612 c .tsou • 1·~261 c .Si>Z2J ~3974 c .. 1565}
• t.t914 t .4111tJ oltt'l3 t .U9tU .. o89ft1J C oSU3J .JU9 t o15:f..2) 1l ~61-.t. ( .. 2657) .J46Ct ( .13&4) .. .41'51 t .un~ oZ"iltft t .US9l
x ... uu SEQUENJIU HONTHSo V"'AXIS • D£Pttt- 1N .. Ct.£FT SCALE) - KH.t!UGH't SCAt.£> .. 0 111 MEAH VAL.UE'.
I<IA.!( JUNE JULY '"" ... OCT NQV
..
••
Z5
zo
,.
"
0£0
1·"'' 1.38 1.36 1 .. 34 1.34! 1."3G J..U l.Z6 s..z4 1.22 t.zo 1.18 1.1~ 1.14 1o1Z 1.10 1oC8 1.06 l·fl" 1.oz .J,..lJO . .. . .. . .. ,., . .. . .. . .. . .. ·" ... ·" ... ·" ·" ·" . .. . .. . .. ... ... ·" . .. . .. . .. -S(I . .. . .. . ... . .. .... . .. .,36 (I
·" . .. ... . .. . .. ... . .. . .. .u ., . . .. . .. ... . .. ... . .. . ..
o.oo JAM "'
HONfH
1 • • • • • 1
• • 10 11 ..
"'" ••• HlY
trllAlt f'IONfHU' PafCtPUASU: ifAT£R
HAHTUCKtt t HUS.
SFC TO SOCKS t7YR$. OF OAU g: OlltiJl) AHa U.UUU (lOMfUHEfJ
M£AH $0 ••• UH.) ... (l:ti.t
.. 9U:3 ' .Ji7<1t) .. ii69 t .21t&U
.a 59& ( .:S:J$4) .nrc ' .. t.uu .tatz: t ~3863i e60U c .zu;u 1.2997 • .!Hi?) .1036 ' .zno1 1.16\S t .. 10tM .Ulti ' .ue~tt 2'·19:S:Q t ~tfltU ..nu t ,.;t431H , ... lilt u..UM:l .tiiAt C .;f&OU z .. t6lt'l u.ou:n .. nn t .37471 ZoU1i C .91&U .91}16 t .. nos.J t.:t~l)S ( .6f!4ljf) .&241 t e32'ltltt t • .srn c .. sr.os• .7Uit ( .2'9($11 1 .. 02GS t .f.IOUl -~6S6 t .:u~u
X-AXU • SEC;UEttttAI. f1.0NlH'S .. f .. UIS ;~~ OEPHI ... Ili.U.EFT SCAlEI .. HMoCRIGHt SCALe>. 0 := KEAH VAl-UE ..
,.
"
..
..
1 •
0 ..
J!Jtt€ JULY Auo SEP ocr ••• OEC
lolliO t .. l8 1o!6 1o3lo loll 1.30 1.·2" 1.26 1o24 1o2Z 1.2~ 1o18 1.16 1ol1t 1.1t lolO loU 1o0& 1.0 .. lotiZ loOt! ... ... ... ... ·" ... ... ·" ·" ·" ·" ·'' ·" ·" ·" ... ... ... ... ,., ... ... ... ... ,., ... ... ... ,., ·'' ... ... ... ·" ·" ·" ... ·•· .zz· ·" o18 0 . ,. ... ·" ·" ... ... ... ...
o.oo JAN fEB ... APR
ftfAN KONfHLY PRECIPIJABLE WATER:
NASNVILLft fENNo
SfC ro 150"11 ASJJV£ SfC 8 YRSo Of OAfA OOZ<03ZJ ANO 12ZI15ZI C011BINEO
"ONTH KEAN so CN. UNo I CN, UN. I
.5D15 ( o1971tl o3539 ( oll'ill olt509 I .U75i • .sooz { o118ZJ .5839 ( oZZ99J • .ssu c .uaz• . .&729 ( ollo371 olo21t5 ' .1;)711
• 1.113& ( o't381tl .3868 c .1;z.st
• loSOIO I oSi171 o365Z ( ollo3.SI 7 1o11o4l I o&l67) .3558 ( olltQl)
• lo7J5J C .&UZI .3675 ( olloio71
• lo5251o ( o&Qij&J ololZl ( ol52ZI
" .9789 ( .!e5JoJ .,ltltlol ( ol7lo81 11 o67Jit ( o265U o351JT I .1r.121 1Z o5':Ho9 I .ZJ4ZI .3671 ( olll451
X-AXIS "' SEQUENt tAL "ONfHSo Y•AXlS = OEPTH - INo CLEfT SCALE I • <411oU.HtrtT SCALflo 0 a "EAN VAL.Ufo
..
"
Z5
"
,.
10
0 •
•
NAY .IUHE .IUL.Y AUG SEP ocr NOV O<C
"UN I'IONfHLY PRECIPITABLE WATER
ltlSHWILLE1 TENN.
!fG TO 500H8 8 'I'RS. OF DATA 4tUJHn AND 1ZZ!-15ZJ CONBINEO
110NTH ~EAN so co. tiN. I c•. UN.t
&o1CZ1 ( olo-l ... ll .&900 ( oZ7171 .9983 ( .39301 .&JU ( oZio93J
t.sqeg C oit7ZOI o&U! 1 .z;,sz• . t.lui ( .67671 .&578 1 • .s11n
• 2. ~966 t .sz&zl oU71 '.3?171 6 Zo7S67 u.o9ru .uu { ol15U 7 So274ol) UoZS9JI .&714 ( • J~ 311
• lo2!95 UoZ7S~.tl .'1271 ( o3f>5!11
• lo9ZU (1.15081 o926Jo I o30551
" lo81'161o ( o7&.27t .6972 ( o35JZJ 11 lo31t95 I .SU<oJ .&991 f .27521 1Z &.ZIIS& ( .50611 .7605 I .ZHitl
K•llriJ:S ;- SEQUENUAL I'IOtHHSo W•AXIS "' OfflfH ~ INo CL.EFf SCl.Lfl • '111o CIHVHT SCAL£1. 0 • tolflN VAL.Ufo
1olo0 " lol8 lo36 loll!. loll t • .sn lo26 1o26 1·2• loU loZD " lot$ lo16 lollo lolZ loU loOIJ t.G& loGio 1o02 loOO l5 ... . .. . .. . .. .., ... . .. ·" ·" ·" " ·" ... ·" ·" ·" ·" . .. . .. .., .. , .. ... . .. ·" ,., ,., ... . .. . .. .~oz o ,., " ·" , . . .. ·" ·" ·" ... .z• .zz .zo
'" ., . ., . ·" ·" ... . .. . .. .oz
tloi)C!
JAN FEB NA. AP. . .. Jl)lllf .JULY A.Wf. St:.P ocr NOV !JEC !!l
,JA~ FEEl l'lt.::t t?i(
M£~N ttON1HU PRECIPITABLE WATER
NJfH YORK CilYt No Yo
sr::
HO'NTH
' 1J
" "
""
'
CK, IINol CH,
JULf AUG
Ut<.>
• 09721 • o~on .096U .12:ltJ ·1 .. S:'$J .l&ZU .1030 I .:,65>1 .131U d$77) .1J-4'in .11151
• "'H. fRIGHT SC4i.EJ,
SCP NOV ;HC
"
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"
JAN MP;.{ APN
MEAN MONtHLY PRE:: U' lT A&l£ lfA T£R
NEW .YORK 0 rt'Y t N .. Y •
SFC TO SGOMS J6 fRS. 3!lZHr3ZJ &\NO iZlUSZI
H:OiitH HEA!-1 CK. Uti.1 CH, HN. t
1 C .UHI .san 2 C *3UI.il ~S44tl
' ( o3U41 .587\t
' t .$2111 .i'lo<19
' ' .i3i5t o&S2:J 6 ( .99?41 .':f3D~
' C1t14'UH .9662
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MEAN MONTHLY PRECIPITABLE WATER
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MONTH t-IE AN so CH. UNol CH. liN. l
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5 .7539 { .2968) .3236 { .1274)
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1 1.3353 ( .52571 .3492 ( .13751
• lo2990 ( .51141 .3713 ( .1462)
9 1.0704 ( .4214) .4130 ( .16261
10 .7490 ( .2949) .3480 ( .13701
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\hOMO lOoOOOOI tO*UOO!H 1 • 7!ll61.t .521.2 I , 1:'\l \121 l ,5361 ( o21JU .2SS7 ~ .10011 l .. 7118 t .2'8021 .3007 ( ·l184l .qq,Jl ( .39101 l ol731) 2 ~ 7196 .47l4 I o13 bid < ,St59 .lOll) .ctoa ( .0830) < .67(18 ( .264-lJ .2466 ( ~097ll 1.1669 ( 0 4594i l ·1994t ' ,t;'ii2C ~s39Ei- I ,zt;?Sl J ,S37-D .21\4) .. 2158 ( .0849J ) .1138 ( .l046J .2S83 ( .1135) 4 1.6358 { .644(lt l .27l6J 4 1.2240 ~661)/o ( •ZH3J . ofi021 ,.2370) .2407 ( .. 094&1 . lo0023: t .J'>46) .3926 < .154M s 2dl20 ( .8315; l .27'1 ~) , 1. 71:!53 ,6Hi5 ( ·3? 111 > .832:l 9.1277) .3291 f .!296) b 1.4061 ' .ssJ6l ,46¢0 ~184M 6 2.9S4l (1,1630) I .14411 • Zok671 • 9082 ( • 35 75) • 1.1984 .4718) .477(1 ( .1878) • a.~J9l:' ( .B-1)281 .-6-125 .24121 7 0.(!000 (0.0000j IOoOOOOI 7 z. 6210 • 92it.1 ( • .n 36. ' z.ozsz • 7973) .51540 ( .2181) ' 2.6195 (1,03131 .S:365 .21.12} • o.oooo w.ooooJ (0.(1()(1(1) • i!:· 75 ra o9lo·OO ( o311Hl . 2.0091 .79101 .53?4 ( .211M • 2'.SSOJ 0.00401 .'5463 .?lSU 9 1>.0000 ((} • .(!Oi)l)) 10,(!()()0) 9 2-3SSG 1.11334 I .~16'H 9 1.4~69 ,57831 .5769 { o221ll 9 2o033S I .80061 .6352' .250 ll " o.oooo 10.0000} co.o~HHH " 1.6~9t '1698 ( .J03U .. .9611 .3784) .4559 { .t19S> 16 1 .. 324'7 I ,52lSI *'5013 ,)973! " o.oooo Hlo0000) (0,(11)00) " 1. zsz,. • 7(137 I •27Hli ll ,6A30 .2689) .21.2& { .. t074~ li .,9410 1 .nos1 .3230 • l21Zt " Oo(lOOO !O.OOOtH ( 0. 00{1~)) " ·932:3 .S7U ( .usu l< ,5693 • 2241) .21'9f! ( .. llOU IZ 91610 ( .29961 .3C62 .12061
MEAN ~ONTHl Y PR(C!PITARL€ WATER HEAN HONfHL'f PitfCIPifASLE ~AlER MEAN MONTHLY PRt::elPHABLE 'o1AT€R MUN MONTHlY PR:£CJP1TII.PI.E 'dlt:R'
AalLEN£.• TEX. ALBANY, No '(~ Ai..3UQU£RO:UE• N:. MEX. A"-ARlLLO' TEXo
Of DATA SFC TO 1tliH16 2l'YRS, OF DATA or na.u SF'C TO 700MB S YRS .. !:OMBlNEO 00lt1Jl:ZI AN:O i2Zl1SZI COMSitlEO COM:SH~£0 00Zt03Z) AND 12Z !lSZJ MONTH so ltONTH MEAN so MONTH so MONtH loi€AN CM, (JN.,) CM, Hill,) ::OM. UNo I '"· tiN,} c•. rtN.t c•. ttN •• CM. liN.) c•. fiNd
l o.ooM HhOOOQl {).0000 1 di441# ( o211tSI • 3&28 E o1'i01l l .2816 • t l09) ol273 o050l) l .4442 .tsu .07131 • .1221 ( .28:4'51 .3278 2 .stzjf l ~20191 • 3425 t .. n~o~s
" .2683 .10'561 .1(174 .0423J l o4t"fl .. 1553 .06121 3 .8741 t ,)44il ,40}3 ' ·6'>85 I .ZS9-2t ,BE>C ( .ts 5<Ja J .<n:n .1075) .1043 .04111 ~ .4938 .. 11~02 .0749) 4 lo2'50J ( .4922) ,5Sll 4 ~93(1Q ( .3'Qf>1t ... ~4.1 t ·194Sl 4 .3061 .1205) "'1218 .0480) 4 e6SS2 .zse:o .ll02l s 1.6328 ( .64.?.9) .5414 ' io 3!7~ [ .54251 • f>o2<t& l • 2~tS'iH b .4?.52 .1674} .17G9 .061)) ' .93?1 .3~JB .l267) ' 2.3311 ( .91781 .326'1 • t. 9~111 ( .11'261 d)82S c .zoan • .,S959 .234·6) .~·fd6 .09511 . •• 3615 .3931 .l'550l 7 o.ooM ({I,(I(J()(I) o.oooo 7 z.~n:z i od9SO I .&&i"C t .Z6zM f 1.0008 ,39401 .2871 ol133i 1 1,6'102 oZ9-88 .1176) • o.otHitl: fO.OO!HH o.OO!:l1i • z, 2:H3 I .6765J .&dOll t .Z6'1'H • ) .0137 .3991} .. 2687 .1058) 6 1.6607 .3003 .tllo)<?) 9 o.oooo (0,00001 o.oooo • 1. 6751 I , '13821 .1306 t ~3C7li • .1'74'5 .3049) .2899 .I 1411 9 1.3713 .39"55 .1'557) 10 o.oooo (0.0000) -o.oooo <0 i. (:11.52 « .56&0) .5<;96 t .2:J&H !U .5202 .;N)48J ~2361 ,Oq301 10 .B6ZJ .3264 .1285) " o.ootHl (0.0000) o.oooo 11 ·93'}1) i .Jb':HI .52&2 I , Z!J 1Z:J 11 ,3598 .1417) .1362 oOS361 11 .,6090 .Z26S .08921 12 o.ouoo 10.000(}) o.oooo 12 .6526 { .256~) •• zs.e I d.661J ll .2(}43 .1159) oll28 .05231 ,, ,46SJ ol786 ,07{13)
MEAN MONTHLY PR[CJPITAALE WATER HHN HONTHd PREC!J)IT46lE WAT€iit MEAN MONTHL'f PREClPlTAAl! WATf!R
A9 H. EN€, TEX • ALBANY, N. Y.
.AMAR!Ll(h ff:X. SF"C fO 6$0MB 23 VR.S.
SFC ffJ 8S!'IHB S 't'RS. OF !)AlA iiOZLJ~Zl ANO 12Zt1SII 00Z(03Z} AND l2Zfl5Z! COMBINED MOI>JTH HEAN $0 MONTH Hf.AN
H(}NfH 1-!E/IN so CM, (IN~) CM, UN.) c~. liN. I CK, UN, l
CM, {IN,) CM, 'n".~ l o.oooo .{1.),0000) n.oooo UhOOOOI 1 • JO iJ ' .078<U l .J018 .042'4) ·0455 2 .3582 ( .l410l .169-<,1 l oU6691
' • 26 ~ .. ' • 05 631 • .lO'Sl ..0414i .0394 J o4433 ( .\745} o?l76 l o0657) 3 .38:1.0 ' .OS2!H 3 oli!C7 .0475} .0532 .. .6506 { .2561) .Jooe I •1ltl41 4 o'.!iit!>O ' .11336)
4 .. 1656 .0652} .ostt 5 .8ft]J { .3399) ,?.MS l oll201 5 • 6361 ' .1.3 9'31 5 .. Z465 • 0970 ~ .{)961:)' 6 1.1534 ( ,4541 i .1484 ( ,()5841 6 :1.-23&1 l , 152DJ . .3633 d430) ,1i6G ' 0.0()00 {0 0 0000) o.oooo (0,0(l0(1) 7 1 ... 397 ' ·1ft6Jt "r .4446 ~ 1150) .01366 • O.OOQO ((l.OtHHH o.oooo ,0.00001
' 1·4192 ' .1466J
' .4353 .1714} .0$39 • o.oooo {ij,Ql)OQ} o.oooo (0.0(1()(.1) 9 1.1'18? ' .rrssl 9 .3694 ~ 1454) olJ22' •• 0.0{)00 tO.GOOl'll o.oooo <-0.0!)01}} 10 .BJ<J3 ' • j.] 83} •• 42115 .0856) .oaos ll 0.0{)(10 ({I.,(HIOO) o.oooo (-Q.(l000l
" .5596 ' .1t33t ,, .-160{1 .0630> .06)4 12 o.oooo tO.{lOOO I Oo00{10 tO,OOOl'H 1Z • 3?2\i ' .033tH l' .Jl14 .0439) .04!9
MEAN MONTHLY PRECIIJITABLF. WATER MEAN HONTHU' PRECIPITABLE WATER MEAN MONTHLY PRECIPITABLE WATER HfAN HONlHU PI'I..EClPJ.T ABLE WATER
ATHENS-ATlANTA• GA. BISMARCK, NoOo lOISE• IDA. !OOTHV ILLE - BORRWOD ,_ U.,
Sf'C TO 400MB 8YRSo OF DATA SFC TO 'tto6HB SYRSo OF OATA Sf'C TO 400MB 27YRS, Of' DATA
SFC TO ltOOHB ZTYRSo OF DATA OOZCOJZ) AND 12ZU5Zl COMBINED OOZ(O~l) ANU 1UU5Z'J COM8INEO
OOZC03Zl AND 12ZC15ZJ COMBINED OOZCOJZJ AND 1ZZU5l) COHIJINEO
MONTH MEAN SO MONTH MEAN so MONTH MEAN so HONTH MEAN so CM. CINol CMo fiN. I CH. UN.l CH. HN.J
CH. UNo I CM. (JN.l CH. HNoJ CH. fiN.)
1 .9009 ( .35471 o4219 .1661} " z.w864 ( o821't) .9285 ( • 3656) lo3729 ( .5405) .8235 I o3242\ 1 .5637 { .22191 o306'3 f o1205) 2 .8039 ( .3165) .3124 .12301 2 1o8JJY ( o7Z:171 .'3018 I •. S5511 1.3111 ( .51621 o7973 ( .31391 2 .5972 { .2351) .30it5 ( .11991 3 .7625 ( ,30021 o3155 .124?.1 3 1o9866 ( o78211 .8717 I .3'4321 1.4191 c .s587l .8151 I .32091 3 .6594 ( oZ596J o3194 I .1257) 4 .8578 ( o3377) .3tll .12251 4 2o529Z ( o99S71 .6132 I .30:.011
4 1o8329 C • 7Z16J .8433 ( .33201 4 .9'537 ( .37551 o4154 ( .16361 5 1.1097 I .43691 .3635 .14311 5 2.6793 Uo1.)Jt>l ,8116 ( .319<;) 5 2.4100 ( .9488) .8?.19 ( ,32361 5 1.4231 ( .56031 o5572 ( .21941 • 1.5070 ( .59331 .4620 .18191 ' J.5897 lio't1JJJ • 7730 I ,JG431 • 3.2060 11.26221 .8537 { .3361)
' 2.0505 ( .80731 ,6JI)8 I .21t8JJ 7 lo5273 ( .60131 0 4498 .1771) 7 lt.2':126 U.Q9Dwl .6616 { .26831 7 3.7582 11.4796) .7744 ( .30491 7 2.3528 ( .92631 .6695 ( .26361 • 1.5260 ( .60081 .4483 .1765) 6 4.367 .. Ho/l9!J .7 .. 111 ( .291'tl • 3 0 6703 (1,4450) .7950 I ,31301 8 2.2389 { .88151 .b500 ( .25591
9 lo3084 ( .5151) .4615 I .18171 ' 4,C765 C1.6G't91 1o~o~1911 I ,4G1.21 9 3.0584 (1,20411 o9639 ( .37951
' 1.6574 ( o6525J .5868 ' .23101 lO 1.0556 ( .41561 .3429 { .13501 10 2o9t>Ti 11o1662J 1.1151 c',4J9GI lO 2.1171 ( .8335) .9741 ( ,3835) 10 1.1929 I .lt6961 .4631 ( o182JJ ll lo0l90 ( .40121 .3693 ( .14541 11 .2o2CJI2 I ,86621 .9o65 I .38G51 " 1.4981 ( .58981 .8336 ( .32821 11 .7907 ( .31131 oJit13 I ,13441 12 .au2 ( 0 3237) .3515 ( .1384) 12 2.J8J1 ( .93021 1oU91Jto ( o't291) 12 1.3833 { ,5446) .8301 ( .32681 12 .6310 ( .24841 .JOltS I .12001
MEAN MONTHLY PRECIPITABLE WATER HEAN MONTHLY PRECIPITABLE WATER MEAN MONTHLY PRECIPITABLE WATER HEAN HONTHLY PRECIPITABLE WATER
ATHENS-ATLANTA, GA. BISMARCK, N.D. IOISEt IDAo BOOTKVILLE - BURRWOD, LA.
SfC TO 700MB 27YRSo Of' OATA SFC TO 700HB 27YRS. OF DATA Sf"C TO 700MB 8YRSo Of DATA SFC TO 70wHB 8 YRS. OF OATA 00zt03ZI ANO l2Zil5ZI COMBINED UOZI03ZI AND 12ZU5Zt COMINfO OOZI03Zl AND 12Z05Zl COMRINEO OOZIII3ZJ ANO 12:ZUSZJ COMBINeD
MONTH MEAN so HONrH HEAN so MONTH MEAN so MONTH HEAN so CH. fiN.I CH. II No I CH. fiN,) CH. CIN.I CMo (!No I CH. (JN,I CH. fiN.t CH. CIN.J
1 1.0262 ( .4040) .6462 ( .25441 1 .3661 I o14421 .2055 { .08091 I o5860 ( .23071 .2583 .10171 1 1ot>081 I .661t61 ,7657 ,JQ9ll 2 .9812 ( .3863) .6193 .24381 2 .4016 t .15811 oG119 ( .08341 2 .5494 ( .21631 .2007 .0790) 2 1o't't55 I .56911 .7v8J o29PJ 3 1.0851 ( .42721 ,6408 .25231 3 o461tJ ( .18281 .2258 .08891 3 .5217 ( .20541 .1991 .07841 J 1.60J<t ( .631.)1 .7 .. 44 o293J.l 4 1o443S ( o56831 .6693 o2635) 4 o6844 ( .26951 .2'354 .11631 4 .5872 ( .23121 .1979 .07791 4 2oHJ1 ( .826&1 o6d87 oi71ll s 1.9367 I • 76251 .6253 .24621
' 1o02'H ( .40511 .3927 .1546) s .7470 ( .29411 .2268 .08931 s 2.364 ... I ,<;l3u71 .6273 o2471/l 6 2o5263 ( ,99461 0 5999 .23621
' 1o5250 I o6001t) ,4582 .1801t) . o9970 ( .3925) .2789 .1098) • 2.976'3 11.17201 .6..:.J.~ o24't!:IJ 7 2.9154 Clol478) ,5029 .19801 7 1.7754 ( .69901 .4753 .1871) 7 1.0071 ( .39651 .2700 .10631 7 Jo4L56 11.J4871 o446'- .17571 • 2o8572 0.12491 .5?.55 ,2069) 8 1.6653 ' .65561 o4621 .18191 • .9970 { .39251 .2695 .10611 6 3.4671 (1.J6:,)0 I o'+969 o1'356) • 2.4178 I o9Sl91 o6901 .27171 ' 1.1877 I .4&761 .4144 .16321 • .sns ( .34311 .2880 ( .1134) ' 3.2971 H.298J,.l .111(, I o27S9J
10 1.6797 ( .66131 • 7478 .29441 10 o8341) ( .J281tJ .321'+ .12651 10 .7010 ( .27601 .2225 ( .0876) " 2.4358 ( .95901 o8741 I .34411 ll 1.1562 ( .4552) o6607 .26011 11 .5452 ( o211t6J .2278 .0&971 " ,6723 ( .26471 .2207 ( .0869) l1 .l.o 7767 I 0 6\J951 o8L58 I oJ172) 12 1.0333 I .40681 o6S23 ( .25681 12 o424J I .16701 .2009 .07911 12 .5334 I o?.lOOl .2116 ( .08331 1Z 1.9456 ( .76bl.ll .9J.55 I .Ji:w51
MEAN MONTHLY PRECIPITABLE WATER 11EAN MONTHLY P~ECif-ITA8LE WATER MEAN MONTHLY PRECli"ITABLE WATER MEAN HONTHLY PKE:CIPIT.IIBLE. WATER
ATHENS•ATLANTAt GA. BISHARCK, N.O. BOISE, lOA. IIOOTHVILU - BURiWOOD, LA.
Sf"C TO 850MB 27VRS. OF DATA SFC TO 850MB 27'f'RS. OF OAfA SFC TO 850MB 8YRS. OF OATA SFC TO 8511HEI 8 YRS' OF DATA OOZ I 03Z) ANO 12Z llSZI COMBINED OOH03ZI ANO 12ZI15ZJ COHBINEO OOZ C03Zl AND 12Z 115ZI COMBINED I.I.,.ZI03ZJ AND 12ZC15LJ COHSIN€0 MONTH MEAN so MONTH HEAN so MONTH MEAN so MONTH HEAN so
CMo IINol CHo IINol CH. llNo l CH. liN. I CMo IINo1 CM. II No I CH. (lNoJ CH. HNol
.5852 ( o2304) .3658 .14401 1 o1537 I .06051 .092'+ I .03641 I o2060 ,08111 ,0831 ( .0327) 1 1o141J ( oltlt9JI o5h5 C ·2C491 .5636 ( o2219) .3470 .13661 2 .1807 « .07121 .0981 I .OJ8EI 2 .2090 .08231 .0681 .02681 2 .9517 ' o37't71 ... 771 I o18811 o6383 I .25131 .3614 .14231 3 o221t!:l I .0881tl o102J .040Jl 3 ol923 .07571 .0655 .02581 3 1.09115 ( o42'1JJ oot':l59 I o19SGI ,8750 ( .3445) 0 3894 .1533) • .3315 I .13051 .1f74 .05011 . .2093 .08241 .0676 .02661 4 •• SUI:I~o ( .5939! .4466 -17581 1.1781 ( .46381 .3526 .13881 5 .5011 I .19731 .1813 .07141 5 .2664 .10491 .0742 .02921 5 .... 6&12 ( ,654\.J .377{1 o1'184)
1.5133 ( .5958) .3139 .12361 • o7621J C .JOOOJ .22oq .08681 • ,3536 .13921 ,0930 ,0366) • z.o131o ( ,80981 .J75i. o147o) 1.7361 ( o6835l .2530 .0996) 7 .9156 ( oJ6061 .2440 .09611 7 .3749 .14761 .1125 .04431 7 2o2'J!>5 ( o%371 .2575 •1111'<1 1.7015 ( .6699) .2593 ol02ll • .8435 ( .33211 .Z301 oll908J • o3665 ol443l .0914 .03601 8 2o3.l.8J ( o9l21l .2621 o11HI • 1.4585 ( .57421 ,3546 ( .1396)
' .5901 ( .23231 .2002 .U786J • o3190 .1256) .0998 .03931
' Zo21i't!:1 ( .d679J ,J875 oJ.52&1 10 1.0295 ( .40531 .4094 I .16121 10 .lt092 I .16UJ .1483 oOS81tl lO o2644 .1041) o0818 .03221
" lo6767 { o66u91 o5't80 ·21601 II o7018 I ,2763) .3825 ( .15061 11 .2616 ( .103QJ .1019 ,04011 ll .2484 0 09781 .ont .02801
" 1oZ358 ( .48&51 .5.>3 ... .2 .. 981
~ 12 o6017 ( .2369) .3749 ( .14761 12 .1884 { .07421 .0910 .03561 12 ,1910 { .07521 .0693 ( .02731 •2 1o3Z54 I .52181 .60211 o2J7\il
MEAN MONtHlY PR£C(PITARLE WAtER KEAH t'IOHTW.L Y F'R£Cif'.l TAOl£ WA1'Eit M€:AN 1-tONTHl. Y PRECIP!TARLE W.ATER .. Hf/<N KONTtit.Y PRLCH•ItAaU lUTER
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SFC TO 400HB Z1¥R5 0 SJ'C TO >.{lfl:ktl" 8 YRS. Of DATA SfC tO 400MB ?.7YRS. OF DIIH QOZtiJlZJ AND lU!lSZl 00li03zt AND 12Zf1S2l COHSINEO >~~o~ll03l) Af«) t.c::Nl$Zl CCI'lttlt.!t;G
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f .S97~) c .:nun ( .2000) 1 1o5(1i4 ( o!Hh.!H ,13 ... 17 1 • :sse91 1 .S9ll ' o42B6 { ol687J 2,2799 .,1!JZO 1 .771t6 ( o3051U oHUk
" .,S69B ' .3846 ( .1514) 2~2946 ( .9034) 0 B{l:67 t .:H761 2 .7:!'33 1 .z6an. o4t>"-O: I .1CI191 2 1ol27S ' .s,!f ... .e-6 .. ~ ( .. .J4 .. 4}
" .6757 ' .4t57 ( .1637) l .. 3929 ( .9421. .7523 { .~q62l 3 .a1<11 ( .3-'11.!"'1 .. :::-24~ t oZU£>5-1 • t.4Z71 t .. Sti181 .. 8..;3&~- t .ueu 4 .. 9148 ' ,4At'>3 ( .l9l5t 2.8382 U,tl74} .nso ( .J05ll . 1.1935 { ... 6~9t .uesn t .2'6181 . 1.71'U c .69\i9J ~d$2:1 C o447ll
' l.3B67 ' .6645 ( .2616} 3.33&6 0.31441 .7381 I .29061 ' 1o6H>9 I .6bfl21 .79U t .JU~I • z,.,..286 { ~ 95011 .9l3S t • 36751 . 2.0061 ' ,.7&86 { .31J2bl J. 7656 Ho4SZ5l .B004 I .:HSll • <!~31lS1J t .~Ol~l • d611 ' .~tts:n • J:o"41J u.u~r• .9~.?1:. ( .J748) I ? .. 4070 { .794'1 ( .3129) 3o98Ql o.s:1ost .. 6401 t oZ520i 7 2:.Q313 t1.o3su o3'\I'!J ( .31311) 7 Jo9834 ~1oS6u3i 1o>l.i.'il/lo c .40HI . 2.2791 ' ,I.'Hl:l6 t .:n561 4.07$9 Uo6047I • 7033 ( .2769) 6 2.5856 U.llUiH • 6909 t .t5nn • 3o9llZS U,..56791 .990. ' .3&~9) y 1.8681 ' ~!%75 ( .34151 . 4 .. 1661 (1,6402) .9)&9 ' .36l0i • 24 ?1l5'+ ( .&68.!) .':lHI7 ' .36\ib) 9 3.!813 U._.:z:'~<t61 loOt.€>9 ( o42'!<!H
'" 1.3853 ' .. 6'911 ( .27211 ,. 3.3325 UollZOl lo045(1 ~ .4ll4l
" 1o6!!9'!J ( .033:8) • 1454 ( o2"113?J .. 2.4$4& ( .9E051 1oh6E ( .~tt.dD
" 1.(}141 ( .3993) ,.f>{)27 c .2373~ ll 2. 7214 (1.,{}714} ,.9?00 I .,.)62?.t u 1.1 ;"(jj, t ... ~411 .6171 i .Z4Z'11 " 1.7{14.1 t o6ll)E>l .uu ( ~J46~f
" .6742' ( .~6S41 o4590 I .lBQ7) il 2.4'541 ( .966~) .8419 ~ .3338i 1Z .C77'3 I .J4$6J .?31itl.o I .2:11Zf ,. io€!641 ( otiJUl .9a ... 7 ( o<i66U
MEAN MONTHLY PRECJP[TAflL( WA'I'ER M£AN HONtHL Y PREClPITMLE WAlt:Q l't£-Aff HONIUit.ll' Pltf.ClPlfAaU MATER MtAN *'iONfUl.Y Pl1EC1PITAR!..f WATf.l<
BRO'MNSVILLE• lEXo OUFf'AlOt N.V. ClPE fiAHfiO:JIS, N. CAR. CAIH80:Ll• "'E •
SFC TO 700HR 27YRS .. SFC TO 700HS zrv~s. SH 1'0 7Dtlt~e 8 Yk!>'• OF t'HIU SFC TO 7001oi6 27YRS • Of OAT A OOZtGJn AND 1:2ZU5Zl llii.ZUS'll ANO lUUSll OOlHl~ZJ ANO ill!Uzt COHSINEO OOZ\OJZI ANO 12ZU5Z> CO~<~IHNEO
MONT~ MEAN liOfiTH ~UN MONTH 11£AN sa MONIH Nf.AN sa CH, HN.) CH, HN .. i en. tiN.) G!h UN.) CM. tni.J c•. HN.t CM, tlN-o) '"· IJ~.)
{ .7371} .6802 .?67iH 1 .£-su t .21731 • 3714 ( .. 11.!~&1 1 .lo1583 ( .ltSt>OJ .rzs.t t oZ:h!n I .4046 .l59J) .3039 .11971 ( .139~} .6723 ,.2641t 2 • 519G ( oZO'rE-l .130 .. ~ o13!ltl 2 1 ~~o 161 ,{ oltllli('l '.6767 t .t6t;lt1 < "3Sl2 .1.501 I .Z:M5 .usn ( .71\3) ;6335 .Z:494l J .<fll) ! .. 2S'<3l o3diH I o15:~1ll: . 1.UG9 f ,.-.-.7bl .66J6 t ol6HI > .4833 .l9{!1l .,Jooa .. 11811 ( .9178) ~6447 .253A1 .. .9 (\1.{) t • 3S59) • .. 'ii7 3 { .t q$6) . i·<tJ3l!l t .:>6t.t!JJ .7CZ9 t .n6n 4 .6797 .261'6) .34!,16 .13711 u.oaeJ, .sq97 .23611 ' 1.H2l. { .. ~120) • !)070 ' .23'll{ll • 1 .. ~-10 ' .HaJt o'fl'!ilf" f .zu11 , 1.0477 .~121!11 .4~74 .19191 n.zt..,6t .sses o22lBI • 1o622S ( .117St .1l>t.?3 t .. Zt:.1St • Zo'514!9 ( o9&SH ol'ZS:li t .2:851H . }.5588 .61371 .5753 .?265) (1.27251 .4755 0 lA121 7 2. 0934 ' .82'4<!:) .t;.!-1.9 ' • 2567) 7 3.U25. Ua2S3llt .6979 t: .G7i<?J} I l .. 89!l8 .74761 .56~6 ol?431 . (1.29461 .4958 .}Q52) . 2'.0730 i ·"16Sl • r.-ss~ t .zsezJ • J.uso u.,sJ9} .71117 ( .. 27€31 • 1 .. 8043 .71031 ~5SI2 ~221HD
• u.JtSO} .6302 .24811 • 1.7422 ~ .o8:19) .7175 c .zn2l!H • e. s 795 't.<. .. v1St>l ~7842: t ~JMI!!! ' 1.4433 .5682') .6525 .?S61H 10 ~1.07591 o79B6 .31441 " t..Zio-21 I oltA90l ~s1sr ( ~226ft " 2ol.lt21 ' .79.;:Zi • 6.:.67 ( • 3Z55l " t .. {lft:,\0 .. 4*06) .5254 .2069) II t .B816i .16M .3018) H 688ill) { • 3'<96J ... t:~6 ( .U;3't) 11 1.3513 t .s;u~ .. , .0976 l 0 27<ifl ll .7423 ~ .29?3) ~4408 f .. l13"H 12 f o790J) • 7~21 .2764} " .&389 c .251!>) ol9G(l t .UJ:H u .l.o2:S13 ' ... "::.;&t .79(19 ' • .i ... t~l l< ~4133 ( olf:I6J} .3291 { ol296l
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RROii'NSV ILL£,. T£ X o 8UFFAI.O, N.v. CAPE HATTERAS, N. CA~. CAPlf;OUo HE.
SF'C TO RSt;NB 21'fRS. OF OAU Of' t'lo.U SfC 70 85C.HS 8 ¥itS. OF DATA SFC TO ASOH_B 27YRS~ 00l(03Z} •ND lClfl$2:) (':OM!HNEO CON!HNCD ¥'f,lfU3zt ANO 122 UUt CO~AINED 00lHi3Z} AND 12Zil5Z) MON111 MEAN so l't-OifTH so HONfH tiUH " HONI!i MEAN c •• t[N.1 CM, IJN.t CH, UN.; CH. {fN,) CH, Utt.J CH, fiN. I CH, ON.) CM, fiN.)
1.2'S40 I oSOSS) .4~87 .1924)
' .lQ5il I .12!l4i .1916 ( .075:.) l o73ZJ •• 26&3} t .nen ' .2075 f .0811) .l46-~t { .0576) t.2Q;95 ' .5116) .466() .te3EH • .269!1 I .11~11 .. aze t .o& .. tl 2 .6~9'> c .es~n j .t6Jo,., < ·1912 ( .0717) .1304 1 .ost:u t.:nst ( .542~) .4'>1?. • teO() I 3 o3()9S I d0.55J .191;4 f .on.u J .7'1-ltt> t .nul t ,1.t.3IO ' t2t>27 { .103:4} ol464 { .n5A4) ~1,6$46 t .6Sl4) .4364 .. 17191 . • s?Zs ( o205{) ~zo1fq t .,iCIZll • .9 .. 75 { .JlltH ( .1715) . .3S5G ( .15161 .1134 ( .O&All lo9S61 t .. 7101) .3559 • t-4-0tl
' .76'97 ' .3030:1 .J3tP, I .1::JG61 • 1 .. 32:50 t .S£19J • ·16t!l'il > .5979 ( .23S4l .. 2570 ( ·10121 2.16'9:7 ( .8542') oi:''9'46 oll6(H 6 1.101}9 f ..... JJ~t-1 • J6ll4 { .1:.19) • .t.MJ11 f .6b?-6t { .16941 . .9124 ( .359ll .316-4 ( .1?46) z.Uz'9 { .. 8791) ;..?.570 oHUZl 7 t .eeos ( .!.t.\16::>1 .10.8'1 ( .137 .. 1 7 z.un ( .&J19l t oll!:o.~',J) { 1.)347 ( .4467) .3104 ( .1222) 2.2:502 t .,8S59) .2E-Ot .\024) • t.Zt\1+1 ( .!.11:1?5 • • 34&1 t .u:e3l • a .. u6.~:: ( .&331) 1 ol$2~1 . 1.0864 ( .4217) .3064 ( ol2)4l ' 2.2171 f ~8731) .3312! • J:l(l41
' 1.0302 t .USJ) .J~!l4 f .tS&t t • 1-.7664 ( .695'tl C .. H9i<l ' .8761 t • .l44q) .. 34q4 l olJ7S1
'" 1 .. 8788 { .73971 .. 4745 .l86R'i 10 .7'>99 t .. Z'\192) • 323? I .1l!73J " .1~3709 i -~4~11 l .t'J661 ,. ,.6\65 •• 24271 .;?£~5'5 l ol 124)
" 1 .. 5276 t .,60141 .. sJq4 .204Sl H .. sztz ( .2'0521 .Z<-62 t .C'\11'71 u .. 9141 l ... Hi991 t ~H2'St " .4185 ( .l~4l:l) .. 2260 ( .. tHt90) ll 1.3650 t .5374) .4912 ( .1934) 12 .Jtdlb ( .t..ti)J oJ.'fQ't ( .,{l7(,$) " .-&:31l 1 *UTJ) t .zec:n I< ~254t ( .tOOll ol68l ( o066.1)
MONTH
" • •• " 12
MON'fti
4 • • 7
" 9 10
" t2
+!OiNTW
" '" " 12
H£AN HONTHLV PRECIPITABLE WATER
CHAFIL(STON9 s.c SF'C 10 40G~B 21YRS. or DATA
00Zf03Z) AND l2Zil5ZI COM8IN£P f.IEAN so
CH, ON.) CH.
' ~6502) .'9154 ~ .62~7) .90()4 { .6800) .-9)14 f ,.8269) .aeA? n.uts; .8745 U.42HH .9192 (1 .. 66591 ,.1628 n.66J4J .7BS4 Uo429i:H .Qsse tlotl248} lo0A86 f .7523} .9'+39
1.678? { .66{)7} ,.9566
MEAN ~ONTtiLV PRECIPITMLE WATER
CHARLES'rON, SoC
Sf"C 'fO 700148 27YRS. OF DATA OOZfOJll ANO l2ZI1S2) C0"48lNE"O
t-\e:AN SD CH, I HI.) CM,
},.3264 .1793
MEAN HONlHLY PRECIPIH"IU ~ATESf
CHARLESTOih S.C
MEAN so CH, UN,.} CH,
.8567 { .3371) ~4923 ' .. 82'45 { .. 3246} .47?.4 I
.•Hs2 { .3615) .41}39 ' .1 .. 1611 ( .4595) o4SS4 ' 1.5.:;42 ( .6119~ .4041 (
t.9JQO i .76Jlt) .379'5 ' 2.?024 £ ~S67l} .. ?,751 (
2 .. 2031 ( .6676) 0 >?1'478 I 1 .. 961}6 ( .7119) .'3'1"}9 I 1.4384 ( .5663} .SO"i1 ' t.a:nl ~ ,.406]~ .S1S9 (
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(JIIf,o)
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I'IEidi' HOiifliLY PRE;ClPH.WL£ WAfER
CHlNA LAkEt CAl•
SF"C TO -.O~.>HB 15 YRS • .OF 04TA OOlfOJZJ ANO 1Zli1SZJ C0~81NEO
HEAN so CK, I !Hoi CH,
-o74:':1;J ( o23J,6) .6J8J I •<5.t.H .r .. ~J C .J:H'7~f .ass.z f .J36H ."9673 f .J8!Hil
1oVZii-8 t """4,U 1.670J t .~HIH 1.7Z52 ( .67921 £oZii63 ( ... 7 .. 91
.iit.,40 ( .33€31
.7toltS ( .Z'33.U
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Ht:AN ~OtHHI..Y P.:t.E(.:IPlTAt'JLE WATER
Cti!N.4 l!\I<E, tAlo
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MEAN MONTHlY P~ECtPt'JABt..E WAT£R
COC:OA 6EAC•t. F'l.A.
SF'C f() 4(ti)MI'.I 21YRSo OF' OATA OOZC03ZI AND l2:ZilSZI COI<I91Nf0
MEAN so CH, itN.I CH,
2.l1l6 .8782 2~ 1676 .. 90615 2.4004 *9333 2.6160 ,.8379 3,.l439 .s:u'f 4,0751 .t644 4 .. 3965 .sars 4 .. 5526 .5788 4,.4594 .,7379 3.4869 t .1101 2,.5921 .9355 2.?822 .9421
MEAN MONTHLY PRECIPlTAALE IIA'tER
COCOA BEACH• fLA.
Sf'C TO 700MB 21YRS. OF' DATA O~liOJli AND 12Zt1SZJ CNH3INEO
MEAN SO CM, (fNol CM,
io!fAN MONTHLY ~ECIPlTARlE WA'fER
{'!OCOA BEACI'h f'LA.
M!J\N so CM, UN,.) CH,
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l1 12
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HEAN Ht}NTHLY PRECIPIHRLE WATfR
COLUMSIAt MOo
SF'C TO 400HB 8 YRS .. OF' DATA OOZt03U AND l2Zfl5Z) COMBINED
MEAN so CM. CJN•I CH,
.5712
.4418
.5868
.7523 ~81)96 .,8475 .9890
t.0325 .9293 .. 8681 .6443 .. 57'55
MEAN MONTHLY PRECIPftAf!LE' WATER
COLlJMB!Ao MO.
Sf'C TO 700H8 8 YRS. OF DATA OOZIOJZ) AND 12ZI15Z) COMBINED
MEAN SO CM. crN.J CM,
MEAN MONTHLY PRfCIPlTAHLE WATER
tOLUMSlA• MO.
Sf'C TO 850"46 S YRS. OF OATA OOZIU3l) AND 12l05l) COMBINED
MEAN so cu. fiN.) CM,
,.5688 ! .?.2.$9) .2911
HNo)
o2249) .17401 .2310) .2962) .3187i .33:)61 .3BIJ4t .4Q6Sf .36S9t .34]8) ~zs37t .22M>)
liN. I
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MEAN MO~THl'( PRECIPITAflLE WATER MEAN MONTHLY PRECIPITABLE WATER ~EAN MONTHLY f'R-ECIPHAS\.t:. WAH~ HEAN ~ONTHL,.'( PREClPlTAALE WATEQ :.:
DAYlONt OHIO OEl A:Hh Tflt, O£NV(K; COt.. (){)OGE Cf fY • tcANS• .,
Sf"C ,TO 4ll0M9 21YRS, Of' 011-lA SFC TO 40C:M8 19YRS., OF OAU SFC 10 400Mtl $YRS. OF' OATA SFC TO 4()0fot8 8YAS,
OOt ( OJZl ANO 1ZZ { l SZ> COiiolfHNEO OOltQ::)l) AND 12lHSZt COMBINED liUfll3l) ANO 1ZZCHU CUrfilNEO 00l(0Jl) ANO l211l5Zl
MONTH MEAN so MONlH t'IEAN SD HOtHH HfAN so MONT>i ,_,EAN
CM. utN-) CM. UN .. ) CH. UN,} CM. liN.,) ""· ct;N:, t CH. UN.) CM. (Jt4.l CMo (JN.}
,8337 ( ,3282) .56~9 .Ul6) I lo3382 ( .5268) -6.328 t ,Z4'Ul 1 .5{!22' l • .1.9711 .uu { .0&67) I ( ,2161) .. 2939 t .11571
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,.<Jf'l$9 C .3B93l ,.5869 ~2310) > 1.4981 ( .5698) .6595 ( .2596) 3 .H1P l *2G75. ·1945 t .07661 j i .3014) .• 2992 .unn . 1.4264 ( .5624-} .1116 .3062t • 2.1655 t .,852M .8061 { .. 31811 4 .t.'96L/ t .zr4ut .2365 t .0931) . i ,.4245) .,43l3 .169JD
s \o8870 ( .7429} ,.8343 ~Ja85} ' 2.77l6 H.09HH ,1572 C o298l) • 1.04!14 C .ltG96l .3437 ' d.n.:n ' I .6061) .5616 .221!}
• 2 .. 5423 n.ooo9J .,881)1 .3465) . 3.3832 u.n20) .6629 c .2689) • 1o44't1 ( .S686l .HH { olSUI • ( .855Q) .. 601? .. 2'367)
1 2.&733 H.t3121 .9:)40 .36171 1 ),.5291 u.3&94l .6761 ( .i!6621 7 1. &t365 t .74671 .~t651 ( .1910) 7 u.oa90} ,6972 .2141)J
• 2.7468 u.o&l41 .93SB .36A41 . :h6311 (1.4298} .. 7321 c .2881$1 • 1· 11131 ( ~7'lJ$) • 't981 I .1960 " !t,.035S) .684ft .. ?696)
9 2,.3512 ( .. 92571 .9111 .3:849) 9 3.4143 0.3678) .6654 ( .3401l • 1.3017 ( .?Hl>J .422:~ ( .u.u; . { ,.tUHH • 70A7 .2791))
10 1.6395 ( .64551 .8379 .3?.9~) 10 2,.$639 n.oof14~ .9912 f .3'902) 1' • B8b1l t .3toUt .li.-12 c .:ueet 10 t .S3t9l .5416 .. l14561
II 1.1964 C ,4TJOI ,.M\41 .2:696) ll \.,17U c • 7003} .no<o { .. 2797) 11 oblt8':i t .zf!,£>St • .::Z31 t oOIJ11H II ( .36921 .3M2 .. l4)4l
12 .9571 f ~J768) ,5935 ,.2337) Jl t.4060 t .55351 .5931 t .23351 " .~tf:l$6 ~ .1li61t) .2V-<til I .o llll&J u ( ,30.26) .3216 .12661
l'lf:AN MONTHLY PRE;ClPl fABL£ WA:TE~ MEAN HONTHl.Y PRf.CtPtH.SL( WATER "iEA-N H{)ttrHt. Y PRtCIPil A!JLE ifATfR HEAN MONTHLV PR£CIPITA!":Lf WATER
DAYTON• OHIO DEL RlOo TEX. Ol:!tJVfR, COlo OOOGE CJTY • KANS ~
SFC TO 700M$ 21VR$. Of' OATA Sf'C fO 7QCMn I9rAs. Of OATA SF'C TO 700MB 8YRS. o,.- I>AfA OOZtOJZ) AND li:!'ZUSZ) COMiHNfO OOZWJ.Zl AND lZZHSZ> C01"9lN€0 00Zf03ll Am> 1ilU5l1 CO)oiAlNEO
MONftt MEAN so MONlH H£AN liON HI so MONT~ MEAN SD CH, ttf't.) ""· UNo} OM. (IN .. ~ CM. ({!>f.) CH, tn-t.J CH, ti~.} c•. tiN,} CM, {lf'l,.)
,6046 t .2380) .4301 .16~3· I o9787 { .3853) .~79S ol!68l 1 ~24{;1, ( • .19711 t .u4rel I o46C5 , .. i813t .. 1862 l .onu .6091 t .Z391U .4016 .tseu ' l.OS:H ( ,.4h8) *5009 *19721 < .24+92 ( .098U ' .03£81 • *4608 { .Ul41 .11'i0 ( .. 06f\ifo} .743b ( .2'921U o4571 .)1\02:. J l.lt.iH { .46011 .5499 .2'1651 J .;H3$ ( olQ]ll t .o 3£9) ) .suz ' .. 2:052l • .2:129 I e083B)
1.0863 ' .4271) .SS96 .232ll . 1 .. 12):8 l .6787) .. 6181 .2670) • .373~ I o1.C.hl ( ol'il.ill • .7167 ( ,.J!\S8) .3~12 { .1304) 1.4763 t .51312) .6384 o25tl) • 2 .. 22:1!8 1 .8159) .. 6165 §l427) • .SS.J6 ( • .2tt) .. J t oiJ 75~ I ' 1.112'3 ( .4319) .,4()89 ( o!f>Hlt 2 .. 0l07 { .,79161 .66S7 .2~">2'1l • 2 .. 66$4 0.0494) .. 5261 .2(171) • .761') ( .l996) ( .o 115~1 • l,$847 f .62391 .47.70 ( ,t6AU 2,281-8 t .89641 .,6819 .. 2685) 1 2'.1292 U.074.SI ~4942 .19461 7 .9678 t ,J6HI •• 0:917) 1 lo9406 ( ,16401 .. 4303 ( .l694)
" 2.1932 ( .863'$} o6EI85 .. znu " 2o7l74 O.tl9l5l • 5234 .2'06(1} ' ~9233 t .3~.,i>) { .ll9J'!} . 1.95:14 ( .7289) .c4376 ( • 1723)
• lo83QI6 t .724Zi .. 7299 .2an, y 2.6724 t1.0521) .5900 .c3Zll • .&79S t oJ:tl7!iJ t ,Q820} . J .4793 C 0 SP;24) .4933 ( ~ l94?) IV 1.2564 i .4946} .6498 .. 2558} 10 1 .. 9&21 { .7804) .759? .t'99U " ~>tsau ( .te!l£>1 ( .~?52") u .9436 I ,3715) .3AlS t .1511 I II .8936 I ,35Hn .5239 .?.0631 II t .. l66l t .,5381) .57l9 .2252} 11 .n~s c .130~1 i ,t}-tj17j II .6313 I .ZS09) .. 2441 < ,096H
'" o69?.4 ( .2126) .. 4464 .17571 !< 1.0547 ( .4152) o467(! .UJ31)j 1Z +2430: t ·<1'1571 { .03$$) IZ .4991 ( .19615) .,}Q<l'~ f .07871
MEAN MONTHLY PRECJPITABL£ WAt£R !'lEAN I'IONTNt,Y POI:£CJP!HI'IL£ WATER
1-4£;\N MONfHL Y PRECJP IT A.RL£ WATER OO!H>E CITY• J(AN$.
OA'i'lONt OH!O OEL RIO• TEX .. SF'C TO 85QHB 8YRS,.
SfC TO 850MB :UVRS .. OF' DATA src TO asoHe 19Y'RS. 01" DATA OOZ(OJZ) AND 12Ztl5Zl OOltGlZl AND 1ZZf15ZJ COMRJNEO '00Zt03Zt ANO lllllSZI C('»!RlN£0 HONl>-1 MEAN
140Nl!i 1-~nN so HONIH HUN so <•· (1~"-' c•. (JN.,)
CH, trN.l CH, (JN~ l CH. 1tH.,) c•. UN,.) l .\763 ( .,()694) .. 0742 t ,.Q2qzl
~3l62: t .12;}4} .091',14) I .5682 ( ,.2231} o3009 ( .lt84l • .1118 < .o7oot .0111 ( .D-2AOI .l2'i16 ( .l29EH .0795) • .-6133 ( .2415l • 3084 ( .l2t4l 3 oZ0:42 ( .OM4l ~0~~4 t .. (1352')
.4U:D ( .1623) ,(1()30) ' .6984 ( .. ~750} .. 3552 ( .13:98} . .not { ,1221) .1326 t .05221 . ,.61SA _( .2lti!4} .124)) . 1.0:410 ( .4098} .4290 f .t-6Ml ' .. 4S75 t .uou .1120 t .. 0671) 5 .862" t .J39S) ,tJ92) • l.J21l i .S226l .3657 t .H41'U • .6'589 ( .l594' .. 1775 ( ,.06~9)
• l.HITZ ( .4614) .t4l9) • J.$363 { .60ft9t o2961 C .U66l t ,.7882 ( .3l(tl) .1113 f .0698) 7 l.J631 ( .,5367) .t<olSt 1 t.Stt01 { ,6{)66l .2823 c .lllll • .75.31 t .Z965J .t?~S « .069~H
• 1.3305 t .52J!H .13941 • •• 5366 ( .6050) .lOU t .lt9Sl . .. 6tlf'l ( .2417) .19~6 ( .0186)
• 1,1027 ( ,4341, ol5.l) • 1.4853 ( .,5848} .3Z1l ( .1288) IO .. l80Z t .. 1497) .. tS04 ( .05'9!) 10 .1437 C ,.Z928) ~ 1379) !0 1.1604 ( .4568) ,42'05 t d655) ll .. Z639 t .1039) .10~4 ( .0401)
" .Sl3Z ( .2(121) .1G96) u .,7979 C ,.JJ4H .3612 ( .1446) ll .. teaz t .OlltU .0711 ( .o2M} 12 .,3789 t .l49ZJ .<19141 J' .6143 c .2419> .2990 ' .1]71}
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ME'A~ MONTHLY PR£CtP1TARL£ WATER HEAN MONTHLY PRECJPlTAfiLE WATER HEAN: "ONfHLV PRlGlPIU.8Le: WATER MEAN MONTHt. Y PREClP I UfiLE WATEP "" 1(1
HUNTINGTON, Wo VAo HURON• S.D. INTERNATlONAL FAI.LSt HINN. .JACKSONt MISS.
SF'C TO 400MB 14YRSo OF' OATA SfC TO 400MO lSVRSo Of DATA SFC TO 40DHO 21YRS• OF OAfA SF'C TO 400MB ~7YRSo OF" OATA
00l(0Jl) AND l2ZIISZJ COMBINED 0021032) ANO 12ZI15Zl COMBINED oo;nD3Zl ANO 1ZZU5l. COHSINED OOZIO.')l) AND l?.Z<lSZJ COMBINED
MONJ/1 NE:AN so MONTH MEAN so HONTH HEM so MONTH MEAN so CM. ONol CH, II No} c •• UN.l CH. (IN.i CH• UH.J CH. t I'N~ I CH, UN .I CH, (lN 0 1
1;.0046 t •395SJ .6485 .,Z5531 1 {().0000) OoOt'lOO 10.00!101 1 ' ' I 1.4879 ( 0 SB'SBJ .8628
.9398 I .3696) • 6043 .23191 2 ~o .. 'Oooo; o.oooo (0.0000) • ' ' • 1:.5166 I .S97U ,8686
1,154~ ( ~4665) .6719 .2'6691 ' <0 • .0000) o .. oooo t0.0000) ' I ' ' 1.66.21 { .65461 .8851
j,.$1{)2 ( .. 6l82) .. 8JOB .3192) 4 ~0-(HH'HH o.oooo 10.0{1001 4 I ' 4 2.1989 { .8651) .9229
2,.09J5 { .&24.2) .. 8189 .3224) s ( .8493) .-6134 I -o2'1l1SJ • ' ' • 2.67-68 u.<I54T) .as6J . 2. 7539 U.0842) .aeo4 .3466) 6 1 .9M4> .7336 ( .28881 • ' I 6 3.4442 tt.356(!1 ~8091
' 3.1715 <l.25llH .9401 .non ' u.ozs6} .1315 I o2904-l ' ' ' ' 4o0262 (1.58511 * 7544
• 3o024l n .. i906) .9911 .,3902'' • ~ .9933i "7440' { .~929) • t I 8 3 0 9574 n.SS80J .9006
• 2.6461 H.0420t 1.{1119 .39$4} 9 { .B09iH .. 11112 ! .?.B28J g ' ' • 3.4609 0.36261 1*0559
1. l.B2S8 ( .1lSlH .,8679 .. J4l7) 10 < .5394) .4340 1 .1709) " I I '" 2o3314 { o9?.02i .9tiiS2
ll 1.3'581 ( ~SJ41) .. 1oqc I ~2'19(1:; II (0 .. 00001 o.oooo {0~0000} 11 I ' ll lo7933 ( .. 70601 .9245
u 1 .. 1326 { .44$9) .6749 { .. 265:71 1l <ll'.00¢:01 o.ooO{! {(l,.l){){ljj) 12 ' ' 12 1~6613 \ ~6541* .9409
HEAN 1-lONTHtY PRECIPITARLE \oi!ATER MEAN MON1Hl Y PRECIPITAPU: WATf"R M£AN to!ONfHLY f'll.ECIPlTUt.E' WAtER MtAI~ MONTHLY PRECIPJTAi;l'lf. WATtR
HUNTINGTOtt, w-. VA. HURON• S.D. tNT!;RNUIONAL fAl.LSt HINN~ JACKSONJ MISS.
SF'C TO 700MB l4YR5. Of DATA or DAU eOZl037.t AND 127.0571 CO~RJNED COMBlNED
MONTH 1-!EAI-i so t>IONTK so HON'fK sn MONTH
""' (JN.l CM, lIN*~ <•· (JN.I CM, IIN.t CH+ UNo) ""· Utht CM. Ulfl 0 ! CM. (!"l.l
.72'44 ( ,.28S?.l .4999 ( ,.t96!H I o.oooo tO.OOOfrl o:.<rooo co.oooo1 1 ' .07$/f) l 1.)596 ( .4565) ~ 1197
oi!:-739 .26511 .444? ( ol"l49l 2 o.oooo iO.OOOCII o.oooo tO.OOOOl z ' .Q63Sl < 1 .. 1744 ( ~4623 ~ .7(140 ,f\H3 .:!4621 .5177 { .20381 3 o.oooo (0.0000} o.oooo tOoOOOOl 3 ' ·09"801 3 1.3191 I .51931 .7?.99
1.?.004 .47?,.6) .6152 ( .?42?.1 4 o.oooo 10.0000) 0.0()00 (0.0000) ' I o1Z601 4 le7923 ( G7056) ~ 7577 1. &l':ilf~ .65011 .6124 ( .24111 5 1.4505 ( .5711) .45'!5 I .18011 • I o16Pl 5 2.1925 I .86.)2) .67~2
2.1905 .862'•1 .. 6'523 ( .?.!"::>661 6 lo 7562 ( o69)4) .S4-7S ( .2155) • ' o21341 6 2.8036 (1.10381 .5871 z.sl14 .99lt) .6568 ( .. 251%1 ' 2.0094 ( .19111 .5306 ( .2089) 7 I .ztJ~Ijl 7 J.l955 0.258!) .5124
H Z.4Jb9 .9594) .7079 I .?7R7J • 1.9175 f .7549) .5432 f .21391 • ' o2156J • 3.1434 n.2376i .6103 9 2.0795 .8187) .15-46 l .297ll • l.S'-42 t .60681 .5466 ( .21'52'i ' ' o2H!4J 9 2 .. 7669 tl.OB•DI • 7668 ,. t.lll40 .5S67i .67S9 ~ .2(-,611 " loO<lJ9 ( .39521 o3300 t .1299) ,.
' .tQ311 !0 1.8789 I • 7397) • 7964-
11 l.,l}lOO { .4055) .54!3! ! .?lS-81
" OoOMO (OoiHHlOl c.o-ooo co.oooot u ' .110~1 " l.4!0S i .SSSJJ ~ 7557
u .. 8199 { .3.228) .5)46 ( .2026i 12 o.a'lloo cO.OOOO) o.oooo (0.00001 1Z ' .06691 12 1.2880 ( o5(l71 l • 7':'!7e
MEAN MON'it!LY PREClPlTARLf WATEQ MEAN PRECIPIHAL£ WATfR HEAN ffOiffHLY PRECIPITABLE' WATER MEAN !-!ONTHLY PP£CIPlHBLE t(fiTfR
HUNTINGTON, V. VA9 HUROfh S.D. INTERNATIONAL FALLS, IUHN .. JA(KSON• MISS.
"0 SSOHB l4YRS. Of OATA 1zt ANO 12Z.OSZi CO!o'BlNED
KO:NT!-1 f!!EAN so MONTH ~ONTli MONTH
CH• CIN.1 CH* !1".1.1 CH• (JN.t CM, ON.l CH. Ul'i.) ""· Ul't.t CH, ON.! CM. ON.l
.4015 .. ~5S2> .Z7B1 I .J 119'5 ~ l (0.001)(1) o.oooo {1,) .. {)(1001 1 ' ' .3762 .J4A-1) .2"342 I .09?.?.~ 2 <O.Q-0001 o.oooo (0.0000) l I I
.4976 .19591 .2756- I .lOBS} 3 10.0000) o.oooo {(1.0000) 3 I ' . .6972 .274"5) .3353 I .1320i • UJ.OOOOI 0.0001') W.OOOOJ 4 ' ' s 0 9A8~ .. :1891• .3424 I .. )34fB 5 1 .:>oStl o2502" f .o98S) 5 ' ' • 1.3Sl5 .532)} ~31)91 ( .J4S::,H & I .:HOO) .2860 { .1126) • ' I 6
7 l.S474 .Mn! o34J.4 I ._}35.?1 7 I .43Ml) .2881 ( 0 11371 7 ' I 7
• 1.'5)54 .5966) .3665 { .14ft3l s l .4105) .?9Jl ( .11461 • ( ' 8
9 1.2738 I .SOlS) .4089 ( .16101 9 I .3259> .Z974 { • 1171) • ' t 9
10 *B5'18 I o3317l .3693 f .14541 ,, l .1997) .lS73 ( .0619) 10 I ' " 11 .6043 ( .2379) .2957 I .11641 11 iO.OOOOl o.oooo (0.0000) 11 I ' Il
1Z 1 465A ( olB34) .2753 ( .10841 12 C0o0000) o.oooo w.ooooJ 12 ' ' lZ
MONT~
' ; ' 7 • 9
" 11 1Z
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4
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1Z
tit:AN ftONT!ilY PR£C1PITA8L£ WAfER
JOl..IEh !Lt..
HfAfl '" CH. C INol CH, tiN.)
.9172 I .J&it) ( ·.i!212)
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.8916 I .J511H .~?('71
f'IEAN HO"'fHL Y f>~t.CIP!rAI:iLt:. WATE:.fi':
JOLIET, !ll.o
SFC TO 7Q~tt8 7 Yt.I:S. 1.1IIZ f 0"32'1 A~O 12l f1 ~2:1
MEAN CM. ( lN.j. CM,
1'1£AN liONTPLY Pt.1:EC.lPlTABl£ WATI!R
JOl!ETt- ilL.
8 ]YJZSJ iZZtiSZt
KEAN CH. !!N.l CH.
o35lt9 ( ~1397)
.Jz?q t .12ft3:J "lt319 ( o17\i!H .6088 t .Z397l .'6799 ( .3 .. 61Jt
1. JSt:~ I .5"3151 1o:;~it3 { .59461 1.45b3 I .H331 1·H'i11 ( .lj-309)
.8214 l • J2S7l ,49lJ2 I .1<:J30) .3848 I •15151
fiNo .i
nn.•
' ( ' t
' ' • ' ' ' ' '
MONYH
l 2 3 4 5
• 1
• 9 10
" 12
MONTH
4 5 6 1 8
• !0 11 12
'iONTH
1 2 J 4 s • ' • 9
10 ll 12
MEAN MONTHLY PRECIPITA~LE WATER
KEY \<fEST• FLA..
!<lEAN so CH. l!N.I CH,
Ho036Zl .8326 n.o31)"'' .8634 o.o~21 l .8158 11.13321 .8007 0.3360) ~8883 11.6519) • 7SZ5 (},6419) .6235 . {1,7062} .6092 n.ra7Sl .1;1115 (l,531iOJ 0 9661 n~tnsl .9087 i l.048J) .8911
Mt::AN MONTHLY PREClPITAJ:IlE WATER
KEY we:sr, rt.A.
SFC TO 700MB 19 YRS. OF OATA 00Z(03l} ANO 12Z()S7.1 CO~.!BINEO
kt:AN SD CM. (JN.J CH,
MEAN MONTHlY P~ECIPITAALE WATER
KEY WEST, F'lA •
CH, ON.} CH,
UN.J
.32161
.33991
.32121 • :.'llS?.l • 3497) .?.963) .2"455} .2399) ,2407) .JBO<H .Js'tn .. 3StHB
UN.I
tlN.f
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.17681
.16641
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.1299)
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.. Ofl89l
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I 2 3 . 5
• 1
• 9
" ll 12
MONTH
. s • ' • • •• u
12
MONTH
1 2 3 . 5
• 1
" • •• ll 12
M£AN MONTHLY PREClP'lTABU: WATE!It
l.AK£ CHARLES1 U .•
SFC TO 400MB 27YRS,. OOZ€03Z) AND lll0'5Zl
MEAN
<•· HN.,) CH,
1.aaaz I .7434} .9313 t.B255 c .1187) •'iH74 1.9477 ( .7668} .9238 2.4160 C .9Sl2:l .900~ 2o9100 tlol693) o6268 3.6-90~ 0.4531) ,7932 4oll37 (1.6983) .. 6965 4.2380 (1,6685) .7991 3.8019- Clo-4968i loCS3S 2.6642 0.0489) \.0'154 2.1019 c .82"99') 1.0'~74
1.9764 < .nau .9aee
MfAN M()!>tTHLY PRECIPlTABlE WAfER
LAKE CHARlES• LA.
SF'C TO 70(1M8 27YRS. or DATA OOZI03Zt AND 12Zfi5Zl COMIHNEO
MEAN SO c •• CIN.l CM,
.,6272)
HEliN MONTHLY PRECIPITABLE WATt:R
LAKE O!ARlES• U"
<•· ONol CH,
1.{)104 ,.3978~ .546~ .9149 .383SJ .5!0{1
).,(l754 .42341 .531<1 t.-4107 .5554} .50-44 l. 7175 .6762) .41}74 2.0149 .816'9} .3368 2.Zt!IS9 .9039) .. 2639 2 •• HIS .8943) .2969 2.0350 .80121 .4445 1.4996 ,5904) .M45 1 .. 1400 .4488) oS761 1.0561 .4158) .ssoz
UN.)
HN.I
tiN.l
' ' ' ' ' ' ' (
(
' (
'
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1 2 3 4
• • 1
• • " 11 12
l'!ONTH
1 z
' 4 5
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• • " 11 12
f H£AU HONTHU Pft£GIPlTA8L£ HATER
LlNi!ER, '-~tyo,.
Sf.'C TO 4tltlHS· It/ YRS .. Of' DATA -GOZ tOJlt AhO HZ t!SZ J COHBIN£0
!1EAN so CH, UNo) CH. en~~•
.. t.560 ' .. (!16.0 ( .06l5.lll .424?' ' ·.1r11 ' .0671.1 .4476 ' .11J,57 ' .073il .61Z6 ( -2164 ( .0852J .31+02 ' .Z86E> c .1128)
1.1918 ' .. J7J5 f .1t.7!lJ 1o3&90 ' .ua;:o l .1646} 1-3!42 I •41S6 f o1b37J 1ofr1l7 ( .3646 t .14JSl
.7301 ( ~asJ1 ( • .1036} .. 5311 ' .Z!M t .oasot .lt!f7e ( .2!139 t .G803t
Hf:AN MONl'HL.Y PR£CIPtTA8L£ !-4ATER.
t.M.WER1 WYO.
CH, UN.l CM. ttN1.J
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't.EAN HOHfHLY PRECIPITA6lf NII..TfR HEAN MONTHLY PR£Cl~lTA8LE ~.H£R 1'1£AH 1'1-QNrHU PRl;:ClPITASLE WATER MEA~ MONTHL'f AAECIPIUSLE: WATER t
LlTTt..£. ROCKt AllK. HtOrORO• ORf:t HIAHI, FLA. KlDLNID-»IG SPlURGS, TU.
SFC TO ltOOHB 8 VRS. OF l)AfA StC TO 400MB 8VRS. OF' OUA. SFC TO '+00Mll 27YRS, OF OATA src TO 400MB 24VRS. Of OAU
OOZIQ3Zt AND 1ZZUSZ' COHBINEO OOZtOlll ANO UZOSll tOMBlNEO OUZtO!Z) A~O J.2l115Zt COHBINEO OOZfOJZJ ANO 12ZUSZI COHBlNE!>
"IJNTH MEAN so NONJ~ M£AN so HO~HI ME.: AN so HONJH MEAN so
c •• UN.t ""' UMo J CM, CIN.l CH, ( lN~. CH. tiN.~ CHo n~.l CH, UN.) CH, (U.I.l
1 1·2935 ( .5094!) ol'S$6 I • 1.1765 ~ ,46Ul .. Si!'IJ-1 f .~oscn 1 ( .96~j.i) .803'9 ' I .8572
2 1~1791 f .l!&4li' .. 6512 I • 1.060.2 C a4l74l .. 3174 l .1486) 2 1 ,ql.faU .81H ' ' ,82'51
' 1·4119 I .. S55-9) .1J51 ( l 1.0086 t .3911} ,.JSlJ { ,1501) 3 t1.!HI16) .8!J38 I ' ,.9337
• 2.0612 ( o81H) -91&1 ( • l.Ust ~ .4087l .3566 t .1404) 4 t1 .. 09SfH .. l"9!J.it I 4 1.2'184
5 ~ .. ;Jq93 t .9~ .. 6· • es&-• ' • l.lOJS c .su:n ·"'181 t .J64M • a .. auqo1 .631'l1 I 5 1 .. 6555
• 3o19:&8 u.zs-a&J .711-01 I • 1.63&3 ( ,6450) .4900 f ~1929) • H.64Z7J ~ 737& ' • 2,2625
1 3o726t.f u .. tto73J .,&S94 ' 1 ia6988 ( ,6688} .4431 ( .J747)
' H.fi91!H .5'1f!a ' 7 2.6924
• 3.5'$90 Uo41091 1ellU7 ( • 1~70&1 c ,6nn ,.4829 ( .. 190U • (1~7379) .5413 ' . 2,7911
• 3o26H UoZB64l t.OUO ' • 1+4862 < .,SSS1l • 1.!718 t .J88H • 11~1?091 o61l22: f • 2.1.!710
" Zo11$3 t .,.$SSIJJ ~9\117 ' ,. 1 .. ~64 t ,S2U) .,4181 ( .1646) " tt.SOfJS) .9418 I •• la6311
11 1.~89& l .6ZS8t .7746 ' 11 la3S46 f ,S333l all71U t al8B1) 11 Ho1S92, .9196 ( H 1,1298
1Z 1•Stll9 { a591t8J .79l1 12 1.102:1 ( .4339) ,.4,249 ( .1673) 12 u.oo9a) .. 8627 I I" ,9103
HEAN ~ONTtiLY PR-ECIPITABLE. WAfER MEAN MONTHLY PREClll'lTASLE WATER HEAN HONTHU P~EClPHASH WATER HUN MONTHLY PR:£C%PlTABLE WATER
U TTLf !HlCK. AP..Ko M£0f'O!t!), ORE. !U.MI. FU. · ~B.tG SP*.ING$• T£X,
8 YRS. Sf'C TO 700MB 8VRS. Of' DA:U. Of DATA SfC TO 7~tlH8 24YRS.
HZ tUZl OGZHtiZl ANO S2lllSZJ CQM81N£1) COM:!!lN'EO 00Zt03Z) ANO lZlUSl} ttONTH HE Ali MONT~ MEAN so ftONfli SD MONHt MEAN
CH. UH.l CK. u:s.t ... {lN.~ ... (1N.t ""· tHh! c~. liNd CH, UNa) CM, UNal
I .9&33 t .utu ' I .. il6J1 ( .3398} .35tH { al410l 1 ' ~ 81'o2} ·,o923 I I .S67Z ( .2233) t .099})
2 .6'3:66 t .lS.lil t 2 .7981 ( .3142) .n~o f .to6J) • c .1'13'11 .696{! ' • ..5568 ( .219/!). ( .0919)
3 :t-1097 ( .lt369l I 3 .7T32' ( .3044) .. 2141 t .to79t 3 { .tfll;(ft) ~h925 ' 3 .6456 t .,25391 ( .l138t
' 1.65{18 ( .6tt99J I • .80Z6 { .3160) .2$96 ( ·.1022! . t ~9>,9Sl .6416 ' . .8499 { .3346) ( .,.149))
• t~<J$1;1 t .7M&l t 5 1.018& t .4011) -3089 t .. 1216> 5 (1.iJ3S9) .&o4a ' • 1.1948 t .,4104) ( .l7l5l
• z.&214 tl .. UUilJ ( • 1 .. 2:705 { .. 5(102) .lSSl ,. .. 1399) • u.Jca.u ~4eGz I • 1.6089 I .6334) ( .. 166'5)
' J.GUZ 1:1..1363} ( 1 1,.3Z2'6 ( .. 52'0?1 .. 332"1 { a1310l
' u.3sn~ .3tl06 ' l l,.8t.4'5 t .126.2) :( .l4l8)
• Z·.ftU.il tt.1342, ' • 1.3188 t .Sl'tt• .3378 ( al'330J • u~Je~t2l 33b94 ( • la89S7 ( .7-464) ( .HOU
• a: • .&4(17 u~o!>jOJ ' • l .. l42S ,. .4498) .3151 ( .1479) 9 H.403l.> .3771) f • 1 .. 7SS6 { ,69ll) ( .l82"9l
10 1o7U9 { .&767J I 10 a9995 t .. 3935) .. ;n6S ( a1246) 10 u.~Z441 .65!)-£:, ' 10 1.1635 t .4561) f .,11J3U
11 i.o.Z$0-3- ( .otiZ2:J I 11 1.0074 { ,.3966, .331U ( .133ll 11 { .9764) • 72SO ' ll ,.7620 ' ;.)079) ( .1277)
" 1.1S4Z '.451tl.f. ' ll .. 8128 1 .3201)) .2944 ( .. 115"9} 12 { • !ll.f99~ .7272 ' " ,6012 ' .2361) ( .1006)
HUN iiOKfkLY P~ECIPHA&lf- WATER HEAH NOttTHLY P~tCtPITABL£ WATER ti(.AN HO!iH!I.'l' f>REClPITAl3ti WATfq MEAN MONtHLY PR£CtPlTAALE WA.TE:If
LITH..€ R:OC:Kt ARK. l4EOF0Rth OR£. tUAHI* fLA~ KIDLAm~-~ro SPAINCS. tn.
SfC TO 850!48 24\"RS~ GOZH!3ll ANO 12l0SZ)
iiONtH "f.AH SD MONTH MEAN so ~--. -~-.
CH, UNol c •• UN.l ... UN.,} ... Hlllo} MO~Tii MEAN so HONlH Mf;AN
CH. liN.J c •• UN,d ... UNa) CH, tn".l
' .5967 t .Z349l .3'i4& ' 1 a4572 .. l!Hl~) .u>B1 ( .0662)
' .szeu ( o21ZU .:ua~ ' 2 .4440 .. t141H ,.,t27S i .0'502)
1 .578QJ .41.t&3 • ~Hsn I •Zll6 { .0-833) ·1058 ( .0:4l6)
3 .671>6 { .2:6561 .:sHs ' l .42iit0 .t6&fJ> .1354 t .OS33J
2 ·5t.>?-3l .073 ' .1722) < .. 2'070 ( .CHH5} .0925 ( .0364)
' 1oC6C.? ~ • 417 .. , ~~trill ( . oft478 .. 17631 .1349 ( .0531> J .S9&7) .43?.''9 1 .Hi:!ltl J .2430 ( .0957) .1263 ( .. 04:97)
; lo27Ht ( .5li!l-.i .41.1% t 5 .5690 o2Z40) ol6Zl ' .0638) • .6557J .J7i'3 { o1"+8(H 4 o3308 ( .13021 ol6S6 ( .0652>
• 1.7355 I .61t~i ·3635 I . .6937 .2131} .1910 c .075-'!1 s .74Ml .J18(j o1G:5kl
, .4749 ( .18701 .1840 ( o01241
' t.'1J53 ( .7619) .:$1.46 t ' .72'54 .Z856) .tlU9 ( .01.241 • ~ ar:.q~o~ oZ,.\6':1 ,IJ•H1t . .6213 { .24461 ·1744 t .0687)
' 1.8571 ( .73ill • 3793 I • .. 1198 .2834) .1816 ( .07151 7 •''UZI.'I .. 181t8 .072&1
, .670.4 ( ·2639) .1461 ( .05751
9 1.6.974 ( .66631 • 4&37 ' . .627l .246<»1 .2'013 ( .08161 ' .92051 .1871 • onqJ • ,69B2 f .274lill .1529 ( .. 0602)
" loG916 t .42i61 o462Z ' 10 .5662" ( .2229) .1750 c .o6891
9 o9F!il .1663 .(17331 • .6621 I .:!!:60'1} .t?5S t .06'H)
11 • i'sta ( .31011 .l,1J'1 t 11 .54~"1 ( .2'164) .1521 1 .os99l " .!Ill+() I .3373 dSZIIJ •• o-4400 t .nlz} .1140. ( .06851
12 .6863 ' .27021 .. 39&0 ' ll .4331 { .111)5) .138?. 11 .o1n1 .loZ48 .16i'1l il +3llSS f .1203. .un < .OS40l
' .. 05~) 1Z .80221 olt62'l .th'H " • .2269" ' o0893) .1{121 ( .0402l
MEAN MONTHLY PRECIPITARLE WATER HUH ttoltTHLY PRfCIPU ABL£ WATER HEAN HONTHLY PRECIPITASLE WATER 't::AN HONlHLY PREOl~'llABl.E ilfUER
MONTGOMERY, ALAo NANTUCKET, MASSo' NASHVILLE, fENNo NEM YORK CifY. NoVo
SFC TO 400MB IVRS. OF DATA SfC TO 1t00N8 27Y1tSo 0, OAU SFC TO 400H8 :rrRS. OF DATA SFC TO ItO liMB i 16. fRS. OF DATA
00Zf03ZI AND 12ZUSZJ COMBINED DtliiUI Atom: U:ZitSZI COMBINED OOZIOln AND 12ZUSZI COHBINEO !lOZfOJZI AND 12Z Cl5U COI'IBINED
MONTH MEAN so MONTH MEAN so KONTH HEAN so HON1'H HEAN so CM, UNo I CM, Cllio) CK, UHot CK, (IN.J CK. UNo I CK, UNoJ CK, UNo I CK, UNoJ
I 1·6435 ( .64711 o8963 ( o3529J 1 .9773 c .u.ut o61t&5 f .25531 1 1.1529 ( oltS39J o71DD t .Z795J 1 ;8633 ( .33=191 .6078 { o239H
2 1.4171 ( .5579) .8074 ( .3179) 2 o901.7 ( o.J562J .6109 ( o2.4Q5J 2 1.01t3.1 ' .~t-1071 .6Sit3 I o2H6J 2 .84'-1 I .33Z3J .5682 I o2237J
3 1.6622 { .65441 .s828 ( .3476) • 1.0200 ( olt0161 .6220 ( oZit49) 3 1.2420 C o4891H o7DII2 ( o27S7J ' 1oH15 ( .J91)21. .&085 ( .239&1
4 2.1478 I .84561 .9260 ' .3646) • 1o3503 I .153161 .7284 ( .2868) 4 1o7804 I .70101 .8908 I .3507J 4 1.3626 ( .5 .. :031 .7687 ( o302&1
5 2o54<H n.o036J .8166 ( oJ215J • 1.8518 ( o1287J .8646 ( o:Sit041 5 2'.1651 ( .852:41 .8471 ( o3J35J 5 1o9317 I .76)51 .8809 ( o3469)
• 3.3344 Uo3l28) .8570 ( .3374) 6 2o4754 ( .971t6J .8987 c .:55351 • Zo8667 Uo1Z86J .&.Jitlt ( o3?85J 6 Zo5971o. {1.02261 .9638 ( .319:01
7 4.0103 0.5788) .7762 ( .3056) 7 2.9108 t1.11t6DJ o9526 ( o3751J 7 3.3706 C1o327Dt .9097 ( .35821 7 3oHi02 U.1812t 1o0089 ' .3972J 8 4.0732 0.6036) .8637 ( .3400) • 2.8598 Uo1259J .9912 ( .39031 • 3.3389 Uo311t51 .9629 I .379U • 2.9393 (1.15721 1ola97 f .~>015)
9 3.5408 Uo3940J .9422 ( .3710) • 2o4182 ( o94891 1o02U { olt0481 • 3o0169 {1.1877) .9696 t .35171 • 2o56611 U.01)21 1o0869 I .'+2791
10 2.4081 ( .9481) 1.0176 ( .40061 to 1o8U.1 I .7UU o8S27 ( o33571 10 1o9527 ' .76881 .9262 ' .;J)47J 10 1o7477 I .66!1U .8585 ( .33831
11 t. 7427 C .6B61J .8561 ( .33701 11 1o4290 ' .56261 .7858 I .3094J u 1.41)43 ( .5529) .7218 ( o2842J u 1.3852 C .51tHI .7842 ( 0 30871
12 1. 7473 ( .6879) .. 9485 ( .37341 12 1o06J9 c .ltta9J .6915 ( .27221 12 1.34£8 I .53021 .78a2 ' .310J:J 12 1.(l633 I .'+UbJ o70l6 .27671
MEAN MONTHLY PRECIPITABLE WATER ICEAN MONTHLY PR£CIPITABlE WATER Hf.AN HONTHLY PRECIPITABLE WATER os::AN HONTHLY PRECP'ITABLE WATER
MONTGOMERY~ ALA. HANTUCKEI, HASS • NASHVILLE, TENN. NEW YORK ::HY, N.Y.
SF'C TO 700MB 8"YRS. Of DATA SFC YO 700118 27US. 'OF DATA SFC TO 700MB 3-YRS o Of OA TA SFC TO 700MB 16YRS. OF OATA
OOZC03ZJ AND l2ZC15ZJ COMBINED OOHUZI AND 12ZU5ZI COI181NEO 00ZC03ZJ ANO 12ZU5ZJ COMBINED OOZH!3ZJ ANO 12ZI15ZJ COMBINED
MONTH MEAN so HONTH HEAN so HONTH MEAN so MONTH HEAN so CM, IJNol CM, CH-!.1 CK, tiN.) CM, IIHoJ CK, UN.) CK, II No) CK. UNoJ CK, UN.!
I 1.2670 ( .4988) .7351 ( .2894) 1 o7282 ' .2867) .5~o~U ( .19731 1 .8528 ( .3358J .5666 C • 2~ JU 1 •• &215 ( .2~701 • ~632 ( o1821fJ
2 1.0878 ( .42831 .6564 ( .25841 2 .67ft3 ( o2655J .4639 I .16261 2 .7673 ( .30211 .5055 C .U90J 2 .621t9 C o21t~OI .lt280 ( o1685J
3 lo3258 ( .5220) .7411 ( .29181 3 .7813 ' .30761 .4801 { .18901 ' .9535 ( .3754) .5&19 ( .22'121 3 • 7676 C •• 3DUI .4626 ( .162? J
4 1.7569 ( .6917) .7687 ( o30261 • 1oDftltO ( .41101 .5562 { o2:1901 4 1•H22 I o51t611 .6910 ( .27201 4 1.0720 C .lt221JI .5961 c .Z315i
5 Zollll { .8311) .6446 ( .25381 5 1.1tSS3 C oS7301 .6672 ( o26Z7J 5 1.7~62 { .&8151 .&449 ( .23391 5 1.5157 ( .59&71 •. &"r52 t .265'1
6 2o 7398 (1.0787) .6460 ( .25431 6 1o9#54 " .78161 .6,7l ( o271.!51 • Zo.3278 I .916(oJ ·6209 I o24451 • 2o1t29 t .82:Hu .7327 C o288SJ
7 3.2123 Cl.2647l .5140 ( .20241 7 2o3ft!6 ( o921t7J .6995 ' .2151!1 7 2.7231 u.o7Z11 .6?03 { .25601 7 2.4378 '.95981 .7381 ( .29051
8 3o2568 Cl.2822) .5847 ( .23021 • 2ol077 ( .9086) .7367 ( .29001 • z.o9~7 (1.06091 .6850 ( .2)971 8 2.3892 C .94HI • 7538 ( .29681
9 2.8828 11.1350) .6926 ( .27271 ' 1.9J80 t .76301 .789ft ( o3108J ' 2.'+206 ( .9531) .7210 ( .2,!9t 9 2.0617 t .a1111 .84'+5 ( oH251
10 1 .. 9516 ( .76841 .8329 t .3279) 10 1.t.440 { .5685) .6760 f .2661) 10 1o5450 ( .60631 .7460 C .2::P.SI 10 io3891 I o5lo,9) .6903 ( .27181
11 1.3806 ( .5435. .7209 c .2838) 11 1o1126 ( oltJ:!II') .6155 I o24231 11 1.090£ ( .42541 .5828 ( .2!95) 11 1.~7C2 t o4ZL31 .621Z ( .2.~461
12 1.3474 ( .53051 .7874 ( .31001 12 .8069 ( .31771 .528.3 ( .20801 1Z .9983 ' .39301 .6161 ( .2:025) 12 .793& t .:.H241 .5365 ( .z11z I
MEAN MONTHLY PRECIPITABLE WATER HEAN MONTHLY PRECIPITABLE WATER HEAN HONTHLY PRECIPITABLE HATER OS::AN HOIHHl.Y PRE;PITA!JLE WATER
MONTGOMERY, ALA. NANTUCKEf, HASS o NASHiilLL€.t TENN, NEW YORK :nv, NoYo
SfC TO 850MB :8 YRS, Of DATA SF'C TO 65DHB 27YRS o OF DATA SFC TO 650118 8 YRS. OF DATA SFC TO 850118 16l'RS. OF OATA
00Zt03ZJ AND 12205ZJ COMBINED O:IZCOJZ) AND 12ZC15ZJ COMBINED OOZC03ZI AND 12Zf15ZI COHSINEO JOlHJ3ZI ANO 12ZH5ZI COMBINED
HONTH MEAN so MONfH MEAN so HONTH MEAN so >tONTH HEAN so CM, liN•) CK, liN. l CK, IIHoJ CH. ttN.J CH, UN .I CK, UNo I CH, UNo I CH. UNo I
I .7824 ( .3080) .4694 I ol848) 1 .44'+8 c .t75U .2912 I o111t7J 1 .4927 ( .191t01 .3391 ( .13351 1 .3691 ( ·14531 o261t5 I .10411
2 .6676 ( .26281 .4()69 I .ol602l 2 .4146 ( o16JZI .26!7 t o!OUJ 2 olt399 ( .17321 .28'+2 ( ·11191 2 .3695 ( .145St .2421 I o0953J
3 o8370 ( o3295l .4686 ( .18451 3 oft792 I o1887J .2758 ( .10 86J 3 oS64E> C .Z2231 .3317 ( .13061 ' .4')&2 1 .1n61 o2G01 I o11l21tl
4 1.1657 ( .4589) .4902 ( .19301 • .6480 ( .2:5511 .3269 ( .12871 4 .Sit 57 ( .3.33111 .4034 t .H88J 4 .0499 ( .25391 .3383 ( .13321
5 1.4002 ( .55131 .3813 ( .150lJ 5 .9204, I .36221 .3959 c .15591 5 1.06Z7 t o4ZG31 .3714 ' .1~&1t 5 .9501 I • 37:. ~I .4055 ( .15951
6 1.7773 ( .6997) .3743 ( .1473) • 1o2868 C .5CI66l .4135 ' .16281 • 1olf611t ( .57541 .3506 ( oU801 6 1.3517 C .5H5t .4319 I o1TZ'+J
7 2.0738 ( .81651 .2763 ( .10881 7 1.5521 ( o611U olt056 I o15971 7 1.7062 ( o6717t .31tlt0 ( .13 541 7 1.5931o ( .627.31 .>+ .. 35 ( .17451
8 2o0873 { .8218) .3154 I .12421 • 1o5347 C .6D'+ZJ .4243 ( .167!11 ' 1o696Z ( .66761 o351tlt { ,1J951 8 1.5762 ( .62161 .~t<t79 ( .17611
• lo8669 ( .73501 o3960 ( ol'559J • 1o2959 f .51021 .4609 ( .181'+1 • 1.4960 ' .56901 .lt025 t .U851 • 1.3615 I ,5!St'l .1+977 I .1963 I
10 lo2918 ( .50861 .4975 ( o\959) 10 .963& ( .37951 .4103 ' ,1£151 10 .960'11 ( .37631 .r..zso ( .15651 " .9209 ( .36~ 61 .4316 f .170~ I
11 .9051 ( ~3563) .4612 ( .1816! 11 .7224 C .28ftltl .3678 ( .1'+461 11 .6£09 ( .26112J o341t0 I .1351tl 11 .1:1&92 ( .zos .. , .3687 ( o1.<t5~ I "'
12 .8475 ( .33361 .4995 ( .19661 12 .5099 ( .2007J .3132 I .12331 " .5611 ( .22881 .3lo74 ( .13&81 12 .r..76C ( .187 4) ,3075 ( .12111 "'
WEAtt Jf(Utlt«.'f' PRECIPiflBU WAT!rlt MEAN "ONTHU flRtiClf'.i.USU MATER HEAN HOIUHI.f PREClPHAILt WA.tf:R MEAN HONTH\.Y PftEClPrTAI'ILE WATER "' "' NORTH Pl.ATfEt NEBR. OA~I.ANDt CAL.. OMAHA:t HE8. PEOIUA:t ...JWftQtn., IU...
SfG TO 4t4H5 Z1YR!h OF OAU SfC TO 400MB : BYRS. Of' OUA SF& fO ltOQHa 20 't'RS~ SFC 1'0 4ti1H!ll 24 'IR;S. fiOZUI!l.t Atill UZCUZ'l t;>OHBlHED COl «0:3Zf AND ill H Slt COJIISI!IiEO UU!iUJ ANO 12ZHSZJ OHC03lJ ANO UZtHZl
JCONIH HEAH so MONTH HEAH so H-OHTH MEAN: KONT!i HEAN CK. tttf-t CH. UN .. I CH. UN.,J: CH. flNot CHo Uti. I CHo UH.l CH. 'u~.) CH. liN.}
1 .6700 t .2631U .2530 I .. 0996! 1 1oJ119 ( .-51$91 ~&151 ( .!4221 1 ~7124 t .U0$1 .nu c .13931 1 .rsrt C .. 29SU olob39 t .~ezM
2 .. 70&9 C .. Z7UJ .. uu t ·1066) • 1.2517 ( olf9UJ .. ~t~ta~o ' .tTUJ 2 .7,.as t .. znrJ .3789 ( •i4'iZJ • .'18'!9 t .31021 •!+836 ( .19!fi,-l
• .. 76$3 ( • 302'51 ,.Z11JC. • ·1015) • 1.21Jo1 A .it1Ul •'+4~2' t o11!li3t ' o6850 '.llt$>o) .~t-JU ' .1709) 3 .'9519 i .. 3h8J .52:4'5 ( .Z06SJ
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t.0605 c .. 4175) .4219 ( .t66ll I .esse c .3381) • 5893 ( .2320 • I 1 .. 2192 ( ,4;80(1) .5375 ( .2116) 1 1.1706 ( o4b3Z) .60'-S ( .ZJ641 .9647 f .,37981 -..4016 ( .. 15811 • .,8247 ~ .3247) .s:nt ( .209U • 1.2212 t .48081 .4620 { ol8U) t 1.14SZ t .~51)9t .!+96't t .19&2) .9616 ( .-37861 .3896 ( .1530) J .. 9581 ( .3772. ·5619 ( .,U91) J 1.2250 ( .4823) .t+ota { .1582'1 ' .:a..UJi I .48l&l .49411 t .1945J
1.1519 ( ,.453Sl .4084 f .H>IHH . 1.3212 t .s~2SJ • 7262 ~ .zeS9l . J .323\ ( .,52tl9) .. 3680 ( .1449) • 1ti94$ I .50981 .•ti.7'l! ' ·16't5) t.291U ( .S019) .4166 { .1640) • 1.-83l3 ( .. l:ll·IU o8161 t .3213) • 1;.5453 ( .6084) .3914 ( .1541)
' t.bS78 { .6527J o't92l I oUJ61 J.6957 ( .6676} .6177 ( .266/h • 2.4648 ( .9704) .~065 t .35691 • l.7J68 t .,6159) .4219 ( • .16611 • 2.0061 t o7h.SJ .st..~J4 C •'Z.t.2) 1.2885 tl.2947l .,9815 { .,3S64) 1 ~.7696 n .. M04) .9~06 t .3S85J 1 z.onz t .an~n .6118 ( .26451 7 2.6~32 Ho-1141io) .eoi!U ( .:SI.t99t . 3e3170 11.3'059) .9tt97 t • .3739) • 2.68~5 u.osS3J ·'11106 t .315851 • ii!ttU93 t .79:5'0) ·5745 ( .22'621 • l: .... 746 { o914JJ o782J t o.Hlail)
• z,.Jloz t .9174) .8415 ( .. 3313) • 2*2&04 ' .s97t'll .. 9588 ( .37151 • t.'87Jl ( .,7375) .5685 « .22381 • t.U43' ( .~93it) ..e~on c .usn IO t.59Jl t .6212'1 .6332 { .241\)J:) IO l.s&93 C .-&2S3l .7628 ( .J003J 10 J .5914 ( .6l89) ,.SC6S ( .1994. •• 1.75§1t ( .Ml2JJ .6J<d. t .. e~.t9n ll t.toll ( ,.4335) .4364 t .)TUH ll 1 .. 1811 t .46501 .6614 ( .2604} II 1,.4056 ( .,S$34) .. 5547 c .2184t
" t •. un ' .-s .. ~z• ,.6634 f .,,t&UJ u t.OlSl ~ .4036) .,46)3 f ,.HH6) 12 .,9335 ( .3675) • 5903 ( .2324 • .. t.2568 ( .4948) .5395 ( .2!<'4t 12 1.2UZ t .. ~.s~st .6127 { .. l:tttl)
H(.AN .MONTHL'( PRECIPITARI.E WAfER MEAN MONTHLY PAEtlPlTA8l£ WATER jo!fAN HONTHLV PflECIPIUat.£ WATER H£AN "ON'THlY FREC!PIT.ABU: WAH!~
PH~U.:NUt ARIZ .. PITTS8URGHt PA. ·n • .uauJl.l.O..uwtAHAI.I.l. c.u.. l"l. MUGOt CAL.
S:rC TO 1G0MA 12 YRS. Of' OAU src TO 700MB !?VRS. Or DATA SF'C TO 70{)M8 .8 YAS. OF' OAU SFC fO 701ilH6 21YR.S.; OF DATA OOliOJZ) ANt> lZZOSZJ COM81~EO OOliOJl. ANO Ulf15Z) COM8lNEO t>OZf<lJl) 4ND t2ZUSZl CO;.lBINED UiiZUHi ANO 1dt15ZJ COMBINED
HONTt<t J.tEAN so MONTH MEAN sn MONTM M£:AN so MONfH ME' AN '" c •• I lN.) c•. ONol CMo nN.) ""· UN.> CM. {lN.l CM. (IN~ t CMo u~.J c •• liN••
.7899 ( .3110> .32'28 I .. 6660 ( < ,I7l(H I I .,376.?) .4?57 ( .1676) I .es .. ~t f •• ue ... t ,.J.tlt81 {
,.7257 ( .28571 .. .3162 2 .. sass ( ( .1$~1) 2 1 .. Jasu .3?71 ( .1487i ' .$717 ' .J%321 ~.~t~t,.i (
.7t73 • ,.2$24) .3068 3 .. 7031 ( { .1690) , t .,390Jl .3.256 { .1282') ' .95Z"t { .Jl~Dt oJ972 {
,.1!583 ( .3J7q} • 31A3 . .9921 { t .. 2120) . ( .. 42''79) .Z99Q ( .. 1177) " 1.W>t65 t .t.o.o.z~J .J4-.2 ' ,.9lS3 { .. 3694) .:not ' 1.,4021 ( { .2376) s t ,.497~H .. 3139 { .12361 5 1 .. 3U.Z c .517!!i • .ns~ • t.l7M { .. 4640} .4778 • 1.9159 ( ( .2603l . { .,54\9) .. 3348 t .lJliH • 1.5712 c .&18i;J .~t2;,~ ' 2 .. 2657 ( .&999} *1}3(} 1 2 .. 1770 ' c .2St5l 1 t .. 6301) ,4636 { ,.lSl·M
I 1 1.U$S t o142,H .&S3"5 ( . 2.36SO t .nz:n .6660 • 2.12'61 ( ( .254ft • ( .,6205) .4112 f ol619) • t.esu { o7Z.Sitl .5446 • • t .. 7C42 ( .-6729) .,641? • 1.7656 ( ( .2776) • ( ,.5863) o4239 ( .1669) • 1~1t>SIJ ( .6949} ~ssaw (
10 !.2904 ( .4726) .. 4928 .. l .. ZlG6 ( ( .. 2281) lO t .SOHH .4!61 t .1638)
" t ..... ?-57 C .. S<tJ.M .. s.\.ae ' II .Sl9:3 ( o3265) .3531 ll .. 8674 ' ( .t932l ll ( .4335) .4409 C el7)6} I u .t.U03 c .4J3Z) .5260 (
ll .7531 ( ,2965) .. :u,.:;,s 12 .6660 ! l .. 1707} .. ( .3882} .4300 ( .1693) It .'9 ... 76 ( • ..;1-JZl .... b9it '
~"lEAN MONTHLY PRF.CIP!T.ARLE WATER MEAN MONTHLY PRECIPITA8LE WATESl: ~EAN f.\ONfHl Y PRECtPJ'fAfiL! WATER Hf.~N MON1'HU PR:t.GIPITABLE "'ATER:
PHOENIX• A.O<lZ~ PJTTS8UR('Hh PA, P'l' AltmELLOoo.3AH'tA l14JI.U.. CAt. Pio HUGUt CAlo
Sf'C TO 850f48 <:'7Y~S. Or OAYA Or DATA sFC tO tJS ... tte d YRS•' OF' OAH OOZH)Jl) ANO l2ZHSZl COHSIN£0 CO~IHNED OOZ1~3U ANO 1dHSZi COH9JNSO
HONTH HEAN so MONTH M(AN '"' HONT~ so HONTH MEAN so CM. (JN+l CM. UN.) CHo (JN .. ) CH. (1N.i CM. HN.I CH. (HI.) CHo • IN.l Ct< • ~ tN.!
.4541 ( ~ 1790) l .J147 (
.,4)43 f .1631) • .l068 ' • 3975 ( ..1565} 3 .J.7ll ' .4635 ( .. 1825) • .5337 ( • 48~? ( .1926) • .71'72 ' • 6063 ( .2387} 6 1.0952 ' t .uze; .
1.1679 ( .459fl) 1 1.21)21 ( ( .1259} 1 t.2'l72 ( .47921 • 1 .. 2365 ( { ... 12'49) • ( .407~) .2169 ( .08'54) • • .8941 ( .3520) .,3467 l .13651 • 1.0246 ( t .1404} q ( .3871) .2381) { .(1937} • •• ,.6396 f .2Sl4l .. 251? j .0991) •• .6967 ( ( dl19} , . ( .3363) .2593 ( .l02H iU
II ..... 62& ~ ol822l .. 1961 c .ontn II .,476e ( t .09641 II ( .2886) .. 2756 ~ .}(lASJ a :~375 :~157 i :i;;;) ~ it .4219 C .166U .1864 f .07:14) 12 .3546 ( t .oel4t lZ ( .25811 .. 2654 f -11\tot;l " t .z;uu
llt£1\H JtOHTHL't' PJi(Cff'ITAtJI..E WATER tf£Atf MONtHLY PIU.CiPl'UBU !tfATEft
POMTLA~h ME. QUXt.LA'fUJ'E•lAlOO$k tSu WASth
sre TO •~oHe 27YRS. OF" DATA
MONTI<t OU4'03Z) ANO ll~Us;o ~01'48lN£D
IO£AN SD KONTH e•. tiN.- CH, ON.) CH. (lN.) ... I .160'1 ( .299$} "5349 { .2lii6l 1 1 .. 1,&J3 f .. ~tStlll • .uto ( .2876) .. ~999 I ,.}9681 2 1 .. 14.&6 :f .. 46?'9t J .8392 ( .3304) .. 5210 f .2-GSll • l.oUC!t i .. 441.U 4 1.1702 ( ,.4607) .6213 j .24461 4 1 .. 21~0 ( o<t799) s t..6792 ( .,6611) .. 78.67 ( .JlOSl • 1olt353 ( ·'56SU 6 2.3579 c .9z&::u .8565 I •3"372) 6 1.8ll~6 •• 7£191t 7 2.7384 0.078}) .. EJ74~ I .3441) 7 1·9582 t .. 7110) • 2'.6667 (1.,\)4~9) ,.9~71 ( ,.3650) • Zo0'746 • .eutn • 2.2(1)9 f .8669) ,.9143 I o3836l • 1.6978 i * ?47~)
10 t .. S919 ~ .6291) • 7831 ( o308J) 10 :lob-<144 t .uru II 1.2342 ( .4859) ,.7231 I .28471 11 lo4036 t .SS2bJ 12 ,.esss ~ .. 33661 ,5829 ( .22951 12 1o2693 { olt997)
MEAN MONTHLY PRECIPlTAF.!t.E WAlfR MEAN HONTtH.,Y PRECIPHP.Btf. HI<TER
PORTt.AND~t HE. QUlllAYIJfE .. fAtOOSH ISq H-.SI-1.
Of" OATA COHBINEO
MONTH: SD KONTH c•. tlth) CM, tiN.} CM. fiN.) CM.
.s-ue ( .ZUJ> .-4003 ( .1516) 1 I
.5187 ,, ,.2(1:42) .3635 { .l431l 2 • .6241 ( .2457} .38'H t .1532) 3 ' . .. 8926 ( ,.3514} .4610 ( .18lSJ 4 • s 1.3094 t ,.51551 ,.5936 ( .2337J • ' 6 );.8806 f .7404) .,6477 ( .,;?550) • • 1 2.~065 { .86871 .. 6342 ( .. 2491l 7 ' • ~.l53~t ( .B47EH .6802 { .2678) • ' • t.?63* ( .69411 .?SOt ( .29S31 • ( 10 1.2540 t a493n .&zu ( .24461
" ' II .9351 { ,36841 .5'525 ( .2175) 11 ( 12 .6259 ( .:?4641 .,4351 ( .17131 12 •
MEAN "ONTHI..Y PREC:lPHABLE WATER Ji£AN HOH!tl.fl.. Y PR;ECIPlfASL£ HAlF,R
PORtt.ANOt H:E. QIJtt.t.AYUrt-lA'fOOSH 1$.~ WASH.
Sf'C TO f!5011fS 27YRS. OF DATA OOZHI-31) ANO U'ZUSZl COMBINED
MOifT4!4 HtAN SO HONfH CM. (JN.l ""· tiNol OM, HNoJ ""· I .3124 i .tllOl ~2195 ( ~0:864) 1 • ...... f .1178) .. 1976 ( .one; z
l .,31'06 ( .1459) .. 2126 ( .oa3n 3 . .,5380 t .. nuu .~sn ( .,{)991) • " .,8062 f .ll74) .. 3399 { .1338} 5 .. l.t&92 ( .4611J .3&00 ( .. 1496} 6 1 1.~?60 ! .:561~} l36U ! d4~~~
' • 1.3914 t .S47EH .. 3907 ( .1538} • • t.1S7S ( .45~7) .. 43'94 ( .17JIH 9 10 .8085 ( .,Jl83t .3124 ( .1466)
1C II .S'140 ( .226(H .3162 ( .l24!B H 12 .l6Q:l ( .,1454) .2464 ( .{)970} 12
UN,.l
( .. 11'1181 t .;i.76U 1 .. n7u 4 .l5Z!it 1 .. t6nl ( .181!51 I o1771tJ ( .16821 ( oZ2DOJ ( .22'111 ( o202ZI ( .1926)
UHiJ
t ~HJ'St t .. U~S) ( .1171} ( #112:!>1 t -.12:<1fH ' .. tJ48) t .132tH l .1ttC5t ~ ,164U ( .1694) I .11.)27> I .:1,457)
u~.J
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1
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• s 6 7
• • 10 11 12
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1 2 3
• s 6 7
• • 10 11
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• 9 1G 11
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&OUUU AKD iUUUf t:OHIU#E!l HUN SD ... UN. a ...
.. &52:4 c .. ZS70J .2452
.. 6!P•1 ( .. 257$1 .~461
.rou ( .Z7&ftJ .as•i!' ·931t7 t .. ,J611U .. un
1o.35B3 « .. snaJ .. r.S2-4 l .. &':Hd~ « .1UlH .S1.6& z.uu l .3184J o$628 2.(1451 f ~&U2) .nss 1o509& ' .s<Jij.3• .saG& 1o0755 ( oltU4J .,37U
.7&7'!1 t ol823t .2883
.&596 c .. 2596f .. 26$.5
MEA!rf HOHf!ilY PR:EClPlTUU dl£R
RAPU Q:UY • Hoi).
SFC TO 7Q:QKll 21Y UlHJU:) AND 1ZZH
HEAH CM. UN.J ""· .. .litf~ t .u:ru • .nn t ~n7u .lt135 « .utt&l ·59&& t •2341H .. 902:1 t .s?JSU
t.Z$25 4 .. Sh-'U t .. tt765 • .sun 1.3375 t .. SUbJ
o9116 t ... us.:u .. 61!156 ' .. 26991 .. tt&3ll '·112-31 .uu « .. 1SilSJ
HEAN KthU!ii..Y PU';;IPHABLE WUErt
i('-ft10 C.UY, N. th
SFC fO tiSO"a 21'tR.S. Oi!Hil3ll AND 12ZU5lt
HUN ... UN•l ...
(Uf.l
'4 .. t~96!H ( .,09&9~
t .uou ( .13361 t .uau ' .. au~t• ( o229!H ( oZH71 ( o1'91U ( o14UJ :f .U3!H ' .1037)
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« .86ZlH ( .06061 t ·0639) f .. 0344. t •UitlH ( •1-lit~H l •1451H t ,.iJIOt ' .. 1U:9. ( .0971H ( ·0693. t .. ObltU
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NUN MONTHLY f>RECIP1TA5t.E WATEJ<
ST. CLOUDl HlNN•
c•. HN,.) <•· .. 5'533 .2'1?8) .,5A2'1 .229?) .6966 .2143)
l.OM6 .41.90) 1.5.888 .625~) 2.lill45 .86401 2.5?80 .9953) 2.S:?40 .Q'937l l.q"'46 .7735) 1.4239 .S60I':.>l
.8"16 .3400)
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MEAN 1-'0NT'"'LY PRECIPlHHLE \lfAHR
ST • CLOUO. HINN.
CM, tiN .. I CH.
HfAN MONT~lY PRECIPl'TAP.LE WATER
ST. CLOUOt MJ"--N,
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l4EAN .. ·MONTHLY PR£C1Pl1'ABLE lii'AltR HEAN :HCNTHI.,.'r PREC!PIUBLE WAf£A ""'·" IIOI<t~ • ,.c1r~uou wnra MEAN MONTtU.Y PR'EttPIUBlf WAf£~
SAl.Ei'h 1Ll. SALEH• Of't£,. . . r;;;;;;m;-~"F;.:I . SAN DIEGOt C.AL,.
OF' DATA .SfC TO 400MB BYAS. OF UAU w~ -ro' ~ootui--ii.~IJtts~--j,- o!TA SfC TO 400H!ll {fVRS •. OF OATA
COH£\IN£0 00Ztll3Z) AN(L l2ZHSlJ C,::OdlN£0 QDZHJ3ZJ AND 12ZU5l1 COti&IHEO- OOl!iOJZt MW 12lUSZ. C:OHSJN£0
MONTH f!tEAN so MONTH MEAN ·~ l'f(IHftt ..... so MONT~ HfAN 50
CH. (IN.) CH. HNo-J CH. (U~.l c.. n-. .. ) CH., UN;.) ... 11Hioi ... HN.) ••• UN,.)
I .7763 t .30561 .. 4964 t ,.}9541 t 1·3277 { .522?) .5735 ( .2;?:58) 1 .7tt16 .t .. t9211l .. :n.s '.uut 1 l·1801 f .4646) .5)97 .tc046J
2 .. 8789 ~ o3460l .S074 C .. l99AJ 2 l.2283 ( .4~~) ,.4S2l c .11.80) 2 .6600 t .. Z5139"J · .t551 c .. uon 2 1 .. 1664 ( e4S92J .4l00 .1614)
3 1,.0358 c .40781 • 5569 « .22001 3 1.1571 ( .4558) .4676 I .\8411 • .6429 1 .!SUJ .2403 ( ,.Q9ft6J 3 1.1981 f .4717) .35:)3 o139U
• 1.4397 c ,.5668* • sts8 t .3212) . 1 .. 200'9 c .472:8) ,.3978 ( el566l ' .rrH t .a:un ~zE>ZG t :.1832:) . 1 .. 2621 t .4969) .3284 .1293)
~ 1 .. 8388 f .?24tH • 76&0 ~ .l992) s 1.4328 ( .56/.IH .. 4t7l { .164?'1 5 1,.:111~4 ~ .J'J:9ftl .31170 ~ .un'i> s t.Sll;ll { .5987) .3706 .)459)
• 2. 7645 {},.06841 ,.895~ ( .3527• • 1. 794S ( .to651 o4902 t ,.19J<H • i • .J&SS 1 .SitS5J .3192 f .1493J . 1.7915 ( • 7053l .4313 .1698)
l ~.0191 n;tas6J ,.9952 ( .39HU 1 1.8659 ( .13lt6l .4717 ( ,.US1l 1 J,..69G1 ~ .6£>54) "*532:':J t .zo'iaJ ' 2.491Z c .9eoa; ~7932 ...H23l
• 3.0285 n.\9t3t 1.0228 ( •• 02:1. • 1.9388 ( _,.7633) :.'SOOt t ,.1969) • 1.69U t .&66U .. S181t t -.2:041,1 • 2.6337 U«03M• .7577 .2983)
• 2.8432 f1,.119~) 1.0165 ~ .. 4002} • 1.'1780 { .. 70001 .,5U6 ( .. 2140) • 1 .. 265ft t .lt911Zl .. -44&9 ' .17611 • 2.1153 • .autu .6~14 .<!n"<H
10 1.8~14 ( .7441) ,&697 ( ~3424) .. 1.5814 t ~62261 ~sot9 t .1916) 10 ··~~ ( .3792') .34\:llt t .U:4D, IO t.5BOJ ( .6221} .5093 .20051
II t..l16$ ( .4632) .6366 t .2SO•J 11 t .. t.i316 ( .6030, .so6e ( .. 199-l) l1 .&65ft ' .:s .. an .o291tl c -111Ji91 II 1.5113 { ,.S9StH .5143 ,22'bH
I< 1..0729 ' .42;2'4) .6{113 ( ~2367! 12 I..2951 ( .509'9) • Sl31 t .202'01 .. .6&96 ( .2715) .~752: • .toni .. lt2l4tt ( .478J t .4973 .1958)
MUN JtON:THL Y PJOI:EClPITA8t.E WAlER MEAN MOHfHLY I>RECIPJUBt.£. VA'ftff MUM NOH'fttLY ~ClPUABt.£ MATER MEAN KO~THLY PRECfPtlAJl!LE WATER
SALEM• OAE.
r ___ ... ----··-- ·-SALEMt llL•
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Sf"C fl) 700MB 4YRS. SFC TO 700M6 SYRS• Of" DATA SfC ._TQ- 1t0Jt8 I J \YU.. Of DAU SF'C TO 700H8 AYRS.
00:!((1321 ANO l2Z052l 001.032} AIID J2ZH5Zl COfolStNEO DIIZUJZ1 AND 1UtUl1 G0"8IKED 0():Zf03Zl AND 12lt15Z)
fo!OtHH MEAN fo!OHJM Ill! AN so MONTH ..... so MONTH M(AH
CM, U!N,.} CM, (JN.) CN, nN.l CN, (lNo-J ... Ui'loJ ... un.• ... UN.> c•. (IN.l
I .5696 t .2243) .3933 < .Ui48) 1 1 .. &371 ( .. 4083) .4237 t .1668) 1 .4J,6t, t .16J9l .1761 ( .0693t I ,.9l44 t ~360!)) ~4084 .1608)
2 .6570 ~ ,.2'S~U a39B4 { .. 1%9J z .9741 ( .. 3$3$) .3461 c .U65l z .it US ., .t5.$'ii .1%99 ( .. 0590) l .9187 f oJ6ln .3406 .1'3411
l .1875 ( ~310()} .tt649 t .1630:) J .9268 t .3M9) ,.3500 ' .1378) • .. 3675 t .1526) .. 1355 ( ~!)5'331 l ,.9662 t .. 3804) .2R75 .11321
• 1~1481 ( .452'0) .6bS4 ( .262'0} • .97.23 ( .38-2&) .zsn ( ,.113H • .-.ou ( oUI46) .-1440 { .0575) .. 1.0218 t .40Z3) .2680 .. lO'SilH
5 1.5223 ( .. 59~3) ~5-971 t ,.2JS1> 5 1 .. 1483 t .,4S:H) .3086 f .. 12'151 5 .. €>013 ( • ~J67J .. uo.c, t .067U 5 1.2375 l .,4672) .2998 .. !141 •
6 2.2:418 1 o8826) .6753 f .. 2659) • 1-;.4331 C .5M2) .3526 t .1388) • •• ozs t ~3160) .1918 ( -.r0755) . l.433f! t ,.S64Sl .3226 ,.JNOt
r 2.4'548 l .9664} .7140 ( .Z:S1H 1 1.5057 ( .5928) .. 36t7 i .14<?1t' 7 .961$1 t .3U4l .zan I .uo.U 1 1.8039 { .71021 .5227 .2058)
• 2.4Ml { ,.9796) .1220 ( .2842:) • 1 .. 5606 ( .6144l • 3151 { .ltt791 • .9~96 { .311-:tl .2693 ( .. UI6iU • 1.961Z ( ,.774':5! .5235 .2116ll
9 2.2701 ( ~89:)7) ,.7736 ( .3046} . t.4l38 ( .ss661 .4318 { .17001 • .. 751t9 1 ol'ifZl .. 2526 t .099%, 9 1.6167 f ,.66f>U .5273 .201M
,. 1.4843 { .5844) ,.11):':50 < .2776} 10 1.2:487 ( .tt916} .3940 ' .tssu 10 .~196 ( .2242J .. 1925 t .07SilJ 10 1 .. 2403 t .4883) .4229 .. )665}
II .90S I { .3563) .Sl14 1 .zo3n II 1.1981 ( .4117) .3820 c .1504~ 11 .50:36 • .2:_1H12) e154~ { .060-$J II 1.un1 I .46~81 .4536 ,.}1S6t
12 .7936 ( .3124) ,.47'13 { .18791 IZ 1.0132 t .3989) .3790 ' .1492) .. .J9U if .. 1572) .145:$. t ~!i57U IZ ,.9576 t ,3770} .4130 .1626}
MEAN MONTI-tlY ?PECIP!UJ~lE WATER MEJ,N HONTt4LY PRECJPlTASLE IOT£R K£Ait tt9tff·t«. V ~~~PI! ~f3:LE ____ IIIITER
"tUN HONTHl.Y PRECJ'PllAf'}LE WAHR
SALE~<~• lLlo -uu:Mt ORE• ;_ w.T loAD em ~ ®Gill~ vr. SAN DJE6Q, CAL.
SFC TO ASOH& 8YRS. OF OUA SFC TD 8SOHe· C6l'RS .. Ot OJ.TA SF'C tO SSDNB ()F O,t.TA
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c •• UINo) CM. (JN.) CM, UN.) CM .. , tiN.} c•. fiH,.) <•· n» .. J ... CJN.l CM, (JNal
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• 1oS4-~1 c .&w8-.JJ .lt,Z9 I olM-,} 6 1.915 .. ( .1!:lotJ.I """'3£1 I .17U5l
' Z"o15~':1 f ~IS4SO l .7~o49 ~ .2933) 7 ~.36.15 ( .. 9.'Ji!U o3~r15 t .usu • 2*il2Sil { .7S8!H .?~o57 ' .211$1 • Zol,f,dJ3 t: .9!1(!:~) .7b13 ( .2:~971
• 1o66ZS f .1JJ-.) .62Sl f .Z~tlb1l • z.uu ,, ~a-.1v .681't ( .2:6a.JI
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u t.JJ5ii: t .sz:sn .~91>~- i .23-'81 .. 1·.11'J7 ( .5-1;\l&l o49\ll; ( o11!3H
1< 1.H6v t .. 4~911 .5336 1 .z:iJ•ll " loL18i ( .suu .5&21 { •2Z:I.J:I
HEAt<~ MONTHl-Y f'R:EClP1TA6!.~ WATER I'IEAN HOIHHL.Y f'RECIP UM:H.E )4Af£R
SAN NICOLAS !Sl.ANO, CAl. SANTA l'fOHICA"'U*G .I!F:ACH, CAl..
0 700:fH1 20 YRS. OF OATA Sf'C l'/'0 70 OPHl 17•RS. OF OATA
H ANt! 1Hi15l.i CD~fUN:EO Jl>IZ1D3Zl ANO J.2ZHSZl COi'lBIN!!D
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'"· tlNol <•· liN •• CH. tiN., CH. llN:.,J
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• lo£i1Zi t .. 39elj. t • .l ..... l t o1Z7U ' 1o3684 ' .53:8-71 "'3t.7h ( .... 2 .. 11 6 l~o17'l$ { oi!b44) olZ17 i .-126{} • .1 • .Sb:LJ ( o&1,7'f1) o-i-3-IJII ' .1~.161 1 1.5$.36 ( .. ~96G) .4913 I .t93<d 1 1.79'117 t .r .. , ... .S4l2 f o<!"iJSi
' t.lt6H { o5158: .~est. I .19Hi • 1.6-401 t .7Zt>M .$16& ( • .:1:13'<1 9 J..41&J ( .55761 o4EI3C I .19!H~ • 1~7135 t o671t6l .5~o~7l. t .19961
10 1.iU2 4 .. 4S4U olt$':19 { .16111 lO 1•Y16-0 I .Sa.l.9:l •lj.Z;:!3 ( ·ib621
11 t.G2.3Q f .40<!9) .IJ71l ( .:18?!.') " ,t..:;.t(l:J ( o<tJJC) .~tZ:1Z ( .16!18J
" .e<tan ( .J5lli!l .<J,!i1 { .1-67otl 12 1.{1 (.91!; ' ·39.751 ... sat. ' .uu3~
K!;:AN ti'ONfHL'f PR€CIVHASLE liAT£~ MUll' HONtHLl PRE:ClPHASl.E WAH~
SAN NIGOLI.S lSLANOf CAL,
«ONTH MONTH
CM, UN,) c•. tirt.l CM, C!No) "'· CIN.t
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' .6'98$ .,;?SOl o19..l7 .Jl76o~l 5 .9697 I o3SUH
• .79i.C: .J1 .. 1l .tt;S2 ~or "91 • i.J. 0"35 1 .434fH
1 .471<;1 .JI.oJJ) • 2367 .(19321 7 1.H13!! ( .4562:)
• o4f>97 .34-2'tl .i;J-SZ .u 920 l ' 1~z;;2o ( .. ~t73$1
• .an'ii • J~t3Cl .Zr-59 .Utl71 9 1.1 ~14 t olt454)
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11 .69116 ~zrzu 1 o287i oHJGl H .7lt60 t .2:93n
~· .s-,Je .z3Jtl ~ ._z.;<.!i oitl'<l) ,. .. 681i! ( .zna.n
MONTH
1 2 3 4 , b , " ' 10
II
"
MONTH
l > J . " " 7 H H
10 11 12
fJ.ONT>'
H .. ll lP
MEAN MON1~lY PRECJPIHal£; WATI:P:
SAULT STE. MAR!ft MJCM.
SF'C TO 400MB Z1YP5. OF' DAtA (j!)1{032't AND l2l0Sll COMBlN£:0
~EAN so CM. UN,.) CH, fiN. I
,.SF\84 { .23!11 .34~6 .1365} .562ti ( s221S) .34?1 .1347) ~6fl25 .?6S7J ,4?42 .H>701
1.()()16 .39431 .'3614 .2210) 1.441)2· .561\i) • 73BC .1:'005! 2-.)135 • 8J?l1 .AW3(l ~34TH
2.3411 .92"171 ,.eflrs .339?) Z.3521' .92'~2) .6615 .34J(,j J .. 98J5 .7-8()9} .>J683 o341Bl 1 .. 4781 ,S819l .61'1;?2 .Zf.>M) ~9789 .,3854) .5087 I .20031 .6981'! .2751) .. 4026 ( .1585)
!"E AN ~ONTHl Y PP(C IPJ TABlE WATER
SAULT SlE. MARIEt Mlf:H,
SfC T(l 700MA 27YRS, Of" DATA il-OZf037l ANO l~ZU5Zl COI-IBINEO
MfAN so CM, fiNo) CM,
.4()?.7 .1585)
.3886 .1530}
.-4869 .1917) • '!404 .291'51
1 .. 0864 .42771 l.632A .64?,f0 1.8513 • 12RR1 1 ~&45:.> • 7264} l.S:l64 .604QJ 1.1?'5{): .442'9)
• 7304 i .?S?SJ ,.4963 l .1954)
!-!fAN J.tONTHL'I' PRECfPHABlE WATfP
SAULT STE. 1-iARJfo ~TCH.
CM, IIN,l CM,
!JNd
.C9~7l
.09'531
.1189)
.163?) ,<?ls:n o25R9) .?C3411 .>.>s~.111 .25811 .('()8'9) .14~4) .1 i4Si
I IN.~
MONTH
I 2 3 . 5
• 1 8 9
•• 11 !2
MONlH
l 2 ) . s • 7
• 9
!0 !I lZ
HONTH
l 2 3 4 s 6 7 8 9 , .
!l !2
MEAN H:ONTHt.Y PRECXP1fA9L£ WATER
SHREVEPORT' U ••
SFC TO 400MB 2lv-A:S,. OF OATA OOZHi3V ANO i2ZU52} COM!HN€0
lfUN $0 c •• ttN •• CH,
1.-4614 ( .s754J .7957 t.4S75 ' .sntH .760.2' l.63l54 ( ,-6439) .8298 2 .. 1914 { .862'7) .. as11 2.7468 u.oat4i *a3S1 3.4373 0 .. 3533) .7764 3.9634 (1 0 5604) .. 7110 3.889(1 n.s3lH .aMU 3.371H• tJ .3302) Lo0533 2.3144 { ·'112) ,.9884 1.7797 j ,7(11}7} .8920 1.57'H { .62191 .1':!471
MEAN MONlHlY PR£CtP!TAA.LE WAtER
SHRE:Y£PO~T t LA.
CH, UN.} CHo
1·1434 { .4502) .(>657 1.1360 f .-4412) .6l54 1.3091 ( .Sl54) .69SS 1.79S9 ( .7070) .74l4 2.2?85 ( ,8892:> .6836 2.7972 ll.lOl3l .5761 3.1764 n.2S06 > .52{)0 3o1046 (1.222)) a6G37 2.1233 {1.0722} .7862" 1.8714 l .7368) ,.BHl4 1 .. 4029 { ~552:l) • 7529 1.2377 ( ,.4873) .1007
MEAN MONTHLY PRECIPITABlE WATER
SHREVEPORTt LA.
Clo\. UN.l CM,
g
(JN.1
.31331
.1!9931
.32671
.3471)
.3288}
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.2799)
.34}8)
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UN.I
.26Nl
.24.?3l
.2'7311)
.~919)
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MONTH
. s • 7
• • lo II 12
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4
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10 11 12
MONTH
4 & 6 7
• • 10 11 12
MEAN MONltlLY PRE:Cl,ITASl.E WATER
SPOI<ANE• WASH.
src TO 400H8 aYRS. OF DATA OOZfOJZJ ANO 12Zfl5Z) COMBINEO
MEAN SD CH, (lN.) eM.
.8504 ( .33481 .4:275
.8-087 ( .3184) .3360 o7S82 ( .29851 .33l0 • ssn ( .33741 .3124
1.1196 ( .4408) .3462 lo4872 i .sass• o4483 ),.4907 ( .58691 .4214 l.S443 l .MSO) .46l8 l.l.IUH t .S465) *42\1 1.1410 { .4492) .3879 t.CJS3 ( .4076) .3833
oB484 { .3340) .3945
M£AN MONTHLY PRECIPITABLE WATER
SPOKANE, ~ASH*
Sf-C 1'0 100MB BYRS. 0~ OUA OOZH.l3l) AND 12'Z!lSZ) COMSINF.O
MfftN SD
""· (1ft,) CH,
MEAN MONTHLY PR(CJPlTA9lE WATER
SPOI(AN( l WASH.
MEAN so e •• (JN,l CH,
.?.331 .0920) .oq913
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(JN.)
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• • 10 II 12
MONTH
. ,. 11 I<
~ONTH
t 2 J 4
' 6 1 . " 10
11 12
iotEAN MONTHLY P.REClPlTABLE WillER
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MEAN MONTHLY PRECJIIIITA~LE \1/ATfR
TAMPAt fLII..
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to!fAN SO CH, !IN .. > CH, CPh)
l<lfAN MONTHLY PR€C!PlTAel€ WATF.R
lAMPAt FLA.,
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l'lUN HONfHLY PafCIPITABLE MATER
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SFC TO lfOOHa liS YRS .. OF OATA OGZUI3ZJ AND U:Z:U.SU CO~BlNEO
H£AN so CH. UN.) CH.
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HEAN HONTHLV PR.f.CIPITABLE WATER
tllilUt~ AFl:I...OKLMIOMA CITY I OKL.\.
SFC TO 70DH8 25 YRS. Of OATA UvZHl3Zl ANO UlUSZJ COHBINEO
HEAN SO
""· UN.) CH,
ti£AN tiOtHHt.Y f'RECIPITABLE ijAT-ER
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MONTH UN.J
I o1999l I ( .16921 2 { .:21251 J 4 .2attlil 4
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• 1 8 9 ,.
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l 2 3 4 5 6 7 8 9
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f<tEAN MONTHLY PRECIPITA8i..E WATER
TOPEKAt KANS.
SFC TO 400MB, 19 YRS. Of" MTA !}OZH~:JZ) AND l2ZU5Z) COMBlNE.:O
MEAN so ... UNo) CM,
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.,9249 ( ,36411 .43{!7
MEAN MONTHLY PREClP11ABL€ WATER
TOPtKA, KANS.
SF'C TO 700MB 19 YRS. Of' OATA 0:0Zt03Zl ANO 12Z{)S(') COMBINED
MEAN SO CH. I !No) CH,
.. 5131 ( .2258)
.. 6140 I .24961 ,.1.3&~ ( .2901}
l.l183 ( .. 4639) i .6674 ( .6-5641 2 .. 3()49 I .9074) 2.,6163 tl.030(H 2.4530 { .9657} 2 .. 0316 ( .7998! 1.3709 t .S397l
.-8130 ( .3437}
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MEAN M.ONYHL Y PREC I PIT A13lE ~A TER
TOPEKA• KANSo
SFC TO 850MB 19 'I'RS, OF DATA Qt)ZUJJZ) AND 121115?'1 COMBJNEO
MEAN so CH. (JN..,) CH,
,.<t'Jb'l \ •1'1'";)1:11 u::t>VQ
(JN,)
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~ .22-661 { ,.)6961
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SI'"C TO ~OOMil 2:1 U.S. OF DATA SFC TO ltfO"ft U YRS .. Of OATA sre- ro .ttoOH8 27'/RS. OF OAU SF(; TO 40\>MB 23 YRS.
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l'fOHt'H "£AI\1 so HONTH "EAN •• MONTH HUH so MONTH HEAN
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' 1.1~77 ( .4:5611 o3776 t .H67f • 2'o6\186 Cl.G2111 .asu r .ns:n s 2' .. 9279 n.tsin ~7574 c .29821 s 2.94'51 H,.JS97l .6140 .34ltll
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• 2o2563 t .snu .. a211 ( .Jt 35) • 3 ~&931! U.4nm .91.81 t .3S7!H • 3.6345 H.4309) ;.9815 ( .3864) • 3.9810" tl.5697J .8827 .3475)
10 1.~4079 ' ,.ss-.Jt .5'i78 t .ZJ53J •• 2.un u.na9> $..2407 ( ""MS) 10 z .. 7l23 Ct.l)678J t.O-Hl ( .4123l " 2.,8922 u.Dan t.0911 .42'H'Il
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STATION INDEX
Contiguous United States
Abilene, Tex . ..................................................... . Albany, N.Y •.••••.•••.••••.••• Albuquerque, N.Mex ••••••••••• ............... Amarillo, Tex • ••..•••••••.••.•.••• Athens, Ga. - Atlanta, Ga . ....................................... . Atlanta, Ga. Bismarck, N.
(see Athens, Ga.) ••••• Dak • ••••••••••••••••••. • • • • • • • • • • ·
. ........ ~ ..... • ..
Big Springs, Tex. (see Midland, Tex.) •••••••••..•.•.••.•••••••.••• Boise, Id •••••••• Boothville, La. - Burrwood, La. - N. Orleans, La •••••••••••••••••• Brownsville, Tex .••••.•••••••.• Buffalo, N.y • .. • • .. • • . • •.. • .... Burrwood, La. (see Boothville, La.) ••.•.••••••••••••..•••.••. Cape Hatteras, N.C •.•••••.••••••• Caribou, Me •••.••.• Charleston, S.C .••••••••.•..• China Lake, Calif •••••••••••••• Coco(a) Beach, Fla ..•••••.•••.••• Columbia, Mo ••••••••••• Dayton, Oh •••• Del Rio, Tex . .............. . Denver, Colo . ..................... . Dodge City, Kans •••••..• El Paso, Tex •••.•..••••• Ely, Nev • •••.••.••..•••. Flint, Mich •••••..•••••. Ft. Huachuca, Ariz •••••••••••••.•• Ft. Smith, Ark •.••.•• Ft. Worth, Tex •••••• Glasgow, Mont •••••.••• Goodland, Kans •••••••• Grand Junction, Colo •• Great Falls, Mont .. ; .•.•••.•.•.•••.•.•••...•... Green Bay, Mich ••••••••.••.•••••••.••• Greensboro, N.C ••.•••.•••.••••••..••.• Huntington, W. Va ••••.•••••••• Huron, S. Dak ••••••••••.•••• International Falls, Minn ••. ...... 0 •••••••••••
Jackson, Miss . . '· ....... ~ ....... . Jacksonville, Fla. (see Waycross, Ga.) •.
Ill . ................. · · · · · Joliet, Key West, Fla . ....... -............ . Lake Charles, La . ...•............................................. Lander, Wyo • ••••••••••••••••••••••••••••••• Las Vegas, Nev. (see Yucca Flat, Nev.) ••••• Little Rock, -Ark.· ••••••••••••••••••••••••••••••••••••••••••••••••• Long Beach, Calif (see Santa Monica, Calif.) •••••••••••••••••••••• Medford, Ore . ..................................................... .
171
Page
41, 42, 43, 44, 45,
46,
47, 48, 49, 50,
51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76,
77, 78, 79, 80,
81,
82,
144 144 144 144 145
145
145 145 146 146
146 146 147 147 147 147 148 148 148 148 149 149 149 149 150 150 150 150 151 151 151 151 152 152 152 152
153 153 153 153
154
154
172
STATION INDEX - Continued
Contiguous United States
Miami, Fla .•• Midland, Tex. -Big Springs, Tex .••• Montgomery, Ala ••• Nantucket, Mass ••• Nashville, Tenn .••..•.••.•....• New Orleans, La. (see Boothville, La.) •••. New York, N.Y .••••• No.rth Platte, Nebr. Oakland, Calif •••.••••••...•• Ogden, Utah (see Salt Lake City, Utah) ...................... . Oklahoma City, Okla. (see Tinker AFB, Okla) •••••••••••••••••.•••• Omaha, Nebr .•••.•••• Pensacola, Fla. (see Valparaiso, Fla.) •••••. Peoria, Ill. -Rantoul, Ill .• Phoenix, Ariz •••.• Pittsburgh, Pa •••• Pt. Argueo, Calif.- Santa Maria, Calif •.••••.••••..•••••••••• Pt. Mugu, Calif ••• Portland, Me •••.••••••• Quillayute, Wash.- Tatoosh Is., Wash ••••.•••••••• Rantoul, Ill. (see Peoria, Ill.) ••••••••.•••••••••.••••••••••• Rapid City, S.Dak •••••.••••..••• St. Cloud, Minn ••••••••••••••••• Salem, Ill .. ............................ . Salem, Ore . ............................ o
Salt Lake City, Utah -San Antonio, Tex. (see
Ogden, Utah •••••• Victoria, Tex.) ••
Calif . ................... o •••••••• San Diego, San Nicholas Is., Calif .••••••••••••••••••• Santa Maria, Calif. (see Pt. Arguello, Calif.) •• Santa Monica, Calif. -Long Beach, Calif ••••••••••• Sault Ste Marie, Mich ................ "' .... o. "' ••••••••••••••••••••
Shreveport , La . ................................. . sPokane' Wash • • 0 ............................ .
Tampa, Fla . ............................................ . Tatoosh Is., Wash. (see Quillayute, Wash.) •••••••.••••••••••••••• Tinker AFB, Okla. -Oklahoma City, Okla •••..••••.•.••••••••••••.• Topeka, Ka.ns •.••. " .••....• " ..•• Tucson, Ariz.'*················· Valparaiso, Fla.- Pensacola, Fla •••••.•••••••••••••.••••• Victoria, Tex. San Antonio, Tex . •.•. ~ ••. " • e ••••••••••••••••
Waycross, Ga. -Jacksonville, Fla ••••••••••••••••.••••••••••••••• W<!llops Is., Va .......... o•••••••••••o••••••••••••••••••••••••••• Washing·ton, D. C . ............ ll' ........... ~ ••••••••••••••• II!! ••••• ov •••
Winnemucca, Nev • ..••..••.• ., ••• o ••••• : ••••••••••••••••
Winslow, Ariz . ........................................ • ......... . Yucca Flat, Nev. -Las Vegas, Nev .•••••.•••• Yuma, Ariz ... 11••••~t•••••••••••••••• •••"••••••
Page
83, 154 84, 154 85, 155 86, 155 87, 155
88, 155 89, 156 90, 156
91, 156
92, 156 93, 157 94, 157 95, 157 96, 157 97, 158 98, 158
99, 158 100, 158 101, 159 102, 159 103, 159
104, 159 105, 160
106, 160 107, 160 108, 160 109, 161 110, 161
111, 161 112, 161 113, 162 114, 162 115, 162 116, 162 117, 163 118, 163 119, 163 120, 163 121, 164 122, 164
STATION INDEX - Continued
Alaska
Anchorage •••••••.•• Annette ........... . Barrow •..• Barter Is. Bethel .•• Cold Bay. ·Fairbanks •••••.•••.••••• King Salmon (see Nanek) •. Kotzebue . •••• _ •.• , •••..•••• McGrath . •••••...•.••••••.... Nanek ••• Nome .••• St. Paul Is •• Shemya .•••••• Yakutat . ................... ..
Ship Stations
H, (36°N, 70°W) •• . -· ........... . . . . . . . . . . . . . . . . . . . . . . H (38°N, 71 °W) •. · ••••••.• ......... . ....... N (30°N, 140°W)* •• ...... . . . . . . . ..... . . . . . . . p (50°N, 145°W) ••• ............. . . . . . . . . . . . . . ........ Foreign Stations
Bermuda . .••••••••••• Guadalupe Is., Mex ••••.•••• Merida, Mex ...........•....
*Plus other locations in vicinity.
........
. ......
173
Page
123, 124, 125, 126, 127, 128, 129,
130, 131, 132, 133,. 134, 135, 136,
137, 138, 139, 140,
141, 142, 143,
165 165 165 165 166 166 166
166 167 167 167 167 168 168
169 169 169 169
170 170 170
;,lJ,S. GOVERNMENT PIHNTING OFFICE: 1976 240-848/54 l-3
(Continued from inside front cover)
NWS 16 Storm Tide Frequencies on the South Carolina Coast. Vance A. Myers, June 1975. (COM-75-11335)
NWS 17 Estimation of Hurricane Storm Surge in Apalachicola Bay, Florida. James E. Overland, June 1975. (COM-75-11332)
M1S 18 Joint Probability Method of Tide Frequency Analysis Applied to Apalachicola Bay and St. George Sound, Florida. Francis P. Ho and Vance A. Myers, November 1975.
NWS 19 A Point Energy and Mass Balance Model of a Snow Cover. Eric A. Anderson, February 1976. (PB-254653)