ed maurer partitioning precipitation into rain and snow for event-based hydrologic modeling in the...
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Ed Maurer
Partitioning precipitation into rain Partitioning precipitation into rain and snow for event-based and snow for event-based
hydrologic modeling in the Pacific hydrologic modeling in the Pacific Northwest U.S. Northwest U.S.
Edwin Maurer
Civil Engineering DepartmentSanta Clara University [email protected]
H51G-04
Ed Maurer
MotivationMotivation
Precipitation type can drive flood simulations
Determination of type in hydrology models is dubious
Unique data presents opportunities to improve precipitation type determination with radar
Potential for transferability
Ed Maurer
Primary QuestionsPrimary Questions
• Do surface temperature-based methods work adequately for determining whether precipitation is falling as rain, snow, or a mixture?
• Can using a reflectivity from a vertically-pointing radar be used to improve this, and ultimately streamflow simulations?
• Can information on derived rain-snow partitioning be transferred to neighboring watersheds?
Ed Maurer
Area of FocusArea of Focus
Improvement of Microphysical PaRameterization through Observational Verification Experiment (IMPROVE-2).
Intensive field observation campaign: 26 Nov- 22 Dec 2001
IMPROVE-2 domain overlaps with South Santiam River basin: total basin area of 1,440 km2.
Ed Maurer
South Santiam River BasinSouth Santiam River Basin
High orographic influence
Winter storms include mix of rain and snow
Ground-based Meteorological Observations:
•Hourly P•Co-op Stations•SNOTEL•IMPROVE P•USGS•Radar
Ed Maurer
Surface Air Temperature for Surface Air Temperature for Rain-Snow Determination Rain-Snow Determination
Accumulation
Melt
• T is not a good indicator of accumulation or melt
• Probably not good indicator of P type
JUMP OFF JOE LITTLE MEADOWS
Each 6-hourly observation where P>01. determine change in swe2. find P, Tavg3. Plot d(swe)/d(P) vs. T
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Ed Maurer
Scenarios for Precipitation Type Scenarios for Precipitation Type DeterminationDetermination
Three scenarios:
1. Base Case – published T thresholds (0.0 °C and 0.7 °C)
2. Alternative 1 – 0°C level from Radar Data
3. Alternative 2 – Radar-derived T thresholds
Ed Maurer
Vertically Pointing Radar Data – Vertically Pointing Radar Data – Reflectivity DataReflectivity Data
• NOAA/ETL S-band vertically pointing radar
• Sample from 2215 UTC 13 Dec- 0115 UTC 14 Dec 2001
• Bright band in red, the top is associated with 0°C temperatures.
• Approx. 300 meter thickness
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Observed 0° Level Based on Bright Band Identification
Ed Maurer
Alternative 1: Using Radar Detected Alternative 1: Using Radar Detected Melting Layer in Hydrologic ModelMelting Layer in Hydrologic Model
Radar-detected bright band
0°C level – Melting begins
Snow at land surface
Rain below bright band
Melt complete
Ed Maurer
Alternative 2: Radar-derived surface Alternative 2: Radar-derived surface air temperature indexair temperature index
Radar-detected bright band
Surface air temperature at pixels set to Tmin(rain)
Surface air temperature at pixels set to Tmax(snow)
Ed Maurer
Alternative 2: Using radar to set air Alternative 2: Using radar to set air temperature thresholdstemperature thresholds
Minimum Maximum Average
Tmin(Rain) -9.7 -0.6 -4.9
Tmax(Snow) -6.7 1.7 -2.4
Average over period
Basin average surface air temperatures for snow/rain inferred from radar 0°C level
Dynamic variability of radar-derived Tmax(snow) and
Tmin(rain)
Average over basin and time period shows values outside
published range
Ed Maurer
Stream Flow SimulationStream Flow Simulation
Gauge 14185900elev. 320 m
Gauge 14185000elev. 230 m
Gauges selected based on:•observed data for period•no effects from dams
DHSVM implemented with:•150 m spatial resolution•3-hour time step•Gridded observed meteorology
Ed Maurer
Improvement in simulated Improvement in simulated hydrographshydrographs
Gauge 14185000 Gauge 14185900
Base Case 38 46
Alternative 1 36 34
Alternative 2 37 35
• In all cases, improvement is seen over the base case, esp. peaks 3, 4, 5.
• 26% reduction in RMSE for gauge in higher elevation basin
• Temperature index derived from radar data achieves most of improvement seen in direct use of radar freezing level
Base Case
Alt. 1
Alt. 2
RMSE for flows over 50 m3/s
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Ed Maurer
Snow Simulations at SNOTEL siteSnow Simulations at SNOTEL site
•Simulated SWE at Little Meadows SNOTEL site, upstream of Gauges 14185900
•Alt. 1 shows dramatic improvement over base case
•Alt. 2, while better than Base Case later, substantially overestimates melt in intermediate period
Base Case
Alt. 1
Alt. 2
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Ed Maurer
Transferring methods to neighboring Transferring methods to neighboring watershedwatershed
Gauge 14185900
Gauge 14185000
Gauge 14182500elev. 200 m
Gauge 14178000elev. 485 m
Ed Maurer
Changes at transferred sitesChanges at transferred sites
Gauge 14182500 Gauge 14178000
Base Case 44 64
Alternative 1 44 59
Alternative 2 47 75
• Higher elevation basin sees minor benefit using radar-detected 0o level
• Increasing from ~45 to ~80 km appears beyond the transfer range for “calibrated” temperature index for Tmax(snow) and Tmin(rain)
RMSE for flows over 50 m3/s (14182500) and 40 m3/s (14178000)
Base Case
Alt. 1
Alt. 2
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Ed Maurer
Radar as a calibration toolRadar as a calibration tool
•Apply to same period of previous year:
11/25/2000-12/19/2000shown as shaded region
Gauge 14185000 Gauge 14185900
Base Case 18 12
Alternative 2 16 9.5
Radar-derived Tmax(snow) and Tmin(rain) derived using December 2001.Decrease RMSE for same period in 2000 by 20% at higher elevation gauge
RMSE for flows over 10 m3/s
Alt. 2
Base Case
Ed Maurer
ConclusionsConclusions
• Surface air temperature is not a good indicator of precipitation type
• Radar-detected freezing levels can improve P partitioning into rain/snow in hydrologic simulations
• Tmax(snow) and Tmin(rain) derived from radar-detected 0°C levels achieve much of the benefit of direct use of freezing levels for concurrent period
• Benefits are not realized when transferring to other basins
• Derived Tmax(snow) and Tmin(rain) show some promise in transferring to same period and basin in previous year