analysis of s’cool data: an introductory tutorial
DESCRIPTION
National Aeronautics and Space Administration. Analysis of S’COOL Data: An Introductory Tutorial. http://scool.larc.nasa.gov. www.nasa.gov. Finding the Data. Click on the For Participants tab . Finding the Data. Next click on: 4. Database. Selecting the data. Interact with the data - PowerPoint PPT PresentationTRANSCRIPT
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Analysis of Analysis of S’COOL Data: S’COOL Data:
An Introductory An Introductory TutorialTutorial
http://scool.larc.nasa.govhttp://scool.larc.nasa.gov
National Aeronautics and Space Administration
www.nasa.gov
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FindingFinding the Datathe Data
Click on the For Participants
tab
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Finding the Data
Next click on: 4. Database
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Selecting Selecting the datathe data
1. Interact with the data
a) Just yoursb) All
OR…
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Selecting Selecting the datathe data
2. Download data matches by spacecraft name and date.
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Selecting Selecting the datathe data
3. Get ideas for data analysis
a) This tutorialb) Excel file 1c) Excel file 2
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Review Review the the ResultsResults
4. Read our analysis of the S’COOL and CERES data-We will be happy to post results of student studies here too!
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Search Search OptionsOptions
• Choose a date range
And/OrAnd/Or• Choose a
lat/long region
And/OrAnd/Or• Choose a
countryAnd/OrAnd/Or• Choose
results with satellite data
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Submit Submit Query Query RequestRequest
• Hit Submit when ready
It may take a few minutes to process the search.
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Search Results - Ground OnlySearch Results - Ground Only
The student report
A graphic representation
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Search Results - Ground + SatelliteSearch Results - Ground + SatelliteA No Cloud CaseA No Cloud Case
The student report
Excellent Excellent Agreement!Agreement!
The satellite report
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Search Results - Ground + SatelliteSearch Results - Ground + Satellite
• Of course, the reports from the ground and the satellite may not always agree
• The next few slides illustrate a few examples– Sometimes the disagreement makes sense– Sometimes the disagreement does not make sense
• You can look at your own observations to– Quantify the agreement– Find and further study cases that don’t make sense
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Search Results - Ground + SatelliteSearch Results - Ground + SatelliteCloudy Case - ICloudy Case - I
The student report
The satellite report
Very good Very good Agreement!Agreement!
Only opacityOnly opacity(a subjective (a subjective measure from measure from the ground) the ground) does not matchdoes not match
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Search Results - Ground + SatelliteSearch Results - Ground + SatelliteCloudy Case - IICloudy Case - II
The student report
Near Near disagreementdisagreement
Cloud Cover Cloud Cover differs by one differs by one category. May category. May be off only a be off only a few percent.few percent.
The satellite report
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Search Results - Ground + SatelliteSearch Results - Ground + SatelliteCloudy Case - IIICloudy Case - III
The The student student reportreport
Interesting Interesting disagreementdisagreement
Satellite cannot Satellite cannot see clouds under see clouds under opaque top layeropaque top layer
The satellite The satellite reportreport
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Search Results - Ground + SatelliteSearch Results - Ground + SatelliteCloudy Case - IVCloudy Case - IV
The student report
Interesting Interesting disagreementdisagreement
Satellite cannot Satellite cannot detect sparse, detect sparse, thin, high cloudsthin, high clouds
The satellite report
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Search Results - Ground + SatelliteSearch Results - Ground + SatelliteCloudy Case - VCloudy Case - V
The student report
Puzzling Puzzling disagreementdisagreement
Student observations Student observations indicate extensive indicate extensive cloudinesscloudiness
The satellite report
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Analyzing the Data - Cloud CoverAnalyzing the Data - Cloud Cover• So far we have talked about 6 cases (no
cloud case, and cloudy cases I, II, III, IV, and V). How could we summarize these?
Low cloudLow cloud Mid-level cloudMid-level cloud High cloudHigh cloud AllAll
Grd
Sat
0 0 MC MC 0 0
PC 0 XX0 0 0 0
XXXXXXXX
3/63/6 50%50%
5/65/6 83%83%
4/64/6 67%67%
2/62/6 33%33%
Grd
Ground
Sat Satellite0 No CloudCl ClearPC Partly
CloudyMC Mostly
CloudyOV Overcast
Grd
Sat
0 0 0 0
PC Cl XXPC 0 XX0 0
PC 0 XX
Grd
Sat
0 0 PC PC 0 0
PC 0 XX0 0 Cl 0 XX
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Analyzing the Data - Cloud CoverAnalyzing the Data - Cloud Cover• So far we have talked about 6 cases (no
cloud case, and cloudy cases I, II, III, IV, and V). How could we summarize these?
Low cloudLow cloud Mid-level cloudMid-level cloud High cloudHigh cloud AllAll
Grd
Sat
0 0 MC MC 0 0
PC 0 XX0 0 0 0
XXXXXXXX
Grd
Ground
Sat Satellite0 No CloudCl ClearPC Partly
CloudyMC Mostly
CloudyOV Overcast
Grd
Sat
0 0 0 0
PC Cl XXPC 0 XX0 0
PC 0 XX
Grd
Sat
0 0 PC PC 0 0
PC 0 XX0 0 Cl 0 XX
Cloud Cover is important to understanding the Earth’s Energy Budget, since clouds both reflect sunlight and
modulate emission of heat from the Earth.
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Analyzing the Data - Cloud CoverAnalyzing the Data - Cloud Cover• What if we look at total cloud cover (Low + Mid +
High)?-Need to decide how to combine levels - do they overlap?-Use a middle value for ground classes (i.e., 5-50 = 27.5%)Case Grd* (%) Sat*
(%)1 0. 0. 2 PC+MC = 100. 100. 3 PC = 27.5 2.35 4 PC+PC+PC=82.5 100. 5 Cl = 2.5 0 6 PC = 27.5 0
**No overlap assumedNo overlap assumed
Grd
Ground
Sat SatelliteCl ClearPC Partly
CloudyMC Mostly
CloudyOV Overcast
Grd
Ground
Sat Satellite0 No CloudCl ClearPC Partly
CloudyMC Mostly
CloudyOV Overcast
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Analyzing the Data: How Many Cloud LayersAnalyzing the Data: How Many Cloud Layers
GroundGroundObservationsObservations
Sate
llite
Sa
telli
te
Obs
erva
tions
Obs
erva
tions
0 1 >1
0 1
>1
3/6 = 50% agree completely3/6 = 50% agree completely3/6 = 50% off by one class3/6 = 50% off by one class
Number of Cloud Layers
Cloud Layers are of particular interest
when comparing the passive satellite view of the Earth
from space with the report of human observers on the ground who can
distinguish different cloud layers and
types.
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Analyzing the Data: Which Cloud LevelsAnalyzing the Data: Which Cloud Levels
Clr Low
Mid
LM Hi LH MH LMH
Clr Low
MidLMHi LHMH
LMH
Cloud Levels seen from GroundCloud Levels seen from Ground
Clo
ud L
evel
s se
en fr
om S
atel
lite
Clo
ud L
evel
s se
en fr
om S
atel
lite
3/6 = 50% agree completely3/6 = 50% agree completely
LM =
Low
+ M
id. e
tc
Cloud Levels are of interest for the same reason, since
human observers on the ground can distinguish cloud
levels better than the top-level satellite view.
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Analyzing the DataAnalyzing the Data• Of course, these 6 correspondences were hand-
picked to illustrate interesting comparisons.• What happens if we look at all the data?• Let’s start with the two-week period Sept. 1-15, 2008,
that includes these examples.
At the bottom of the search page, you will find directions, a key to the file, and a link to get the data.* This can be found at the bottom of the comparison report request.
It also tells you how many data points were found = 336.
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The Downloaded .xls FileThe Downloaded .xls File• The file you get will have a name like
12070812.grn.xls– Decoding:
• 1207 is the date (Dec. 07 in this case) you download the file.
• 0812 is a time stamp from when you requested the file (8:12 am in this case)
• grn means Ground• .xls was chosen as the extension so that most
browsers will automatically download the file when you click on the link
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Inside the .xls fileInside the .xls file• The .xls file is a Microsoft Excel file.• Each line contains the student report and, if
available, the corresponding satellite retrieval information.
• The lines are very long and will wrap in most text editors (see below).
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The file in Excel - IThe file in Excel - IRow 1: Variable NameRow 2: UnitsRow 3: BlankRow 4…: Data
You may notice other blank lines.These have to dowith line feeds, and can be deleted orignored.
The key lets you interpret the entries in these columns (see slide 22).
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The file in Excel - IIThe file in Excel - IIScrolling to the right in the file, you will find the satellite entries, or the notation NAY (Not Available Yet)
If the satellite saw no cloud in a level it will be left blank.
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Analyzing dataAnalyzing data• Now that you have the file open in Excel, you can save
it as an Excel workbook, then do all sorts of analyses.• See the two Excel files (refer to slide 5) for some
examples and ideas
• If you discover anything interesting, share it with the S’COOL Team!
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National Aeronautics and Space Administration
Langley Research Center
Hampton, VA 23681
www.nasa.gov