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An Introduction to the IRI Data Library Michael Bell.
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Transcript of An Introduction to the IRI Data Library Michael Bell.
An Introduction to the IRI Data Library
Michael Bell
Objectives
– Become familiar with the organization of the Data Library
– Learn how to find datasets and select spatial and temporal domains
– See how to perform simple arithmetic analyses– See how to create customized maps and graphs– Learn how to download data and images– Understand how the Data Library is related to the
IRI Map Room
Structure of Course
1. Introduction to the organization and primary tools of the Data Library
2. Group examples
3. Individual examples
The IRI Data Library is a…
• Data repository– >300 datasets covering all
aspects of climate-related characteristics
• Data analysis tool– Arithmetic operations
EOF analysis
• Data visualization tool
– Time series, maps, cross-sections
• Data download resource– Free access to text, binary, GIS-
compatible, etc. data files
http://iridl.ldeo.columbia.edu
Data Library Home Page
Finding Datasets
Structure of Datasets
-Primary Organization -Dataset
-Dataset -Variables-Dataset -Variables
-Dataset-Variables
-Primary Organization....
-NASA -ERBE (Earth Radiation Budget Experiment)
-Datasets by instrument -Variables
-GES-DAAC (Distributed Active Archive Center)-
-GISS-LeGrande_Schmidt2006 (authors)
-GPCP (Global Precip Climatology Project)-Datasets by version -Datasets by instrument
-Variables....
Example
Data Browse/Search
Map Room Search
Dataset Page Contents and Structure
Gridded Datasets
Function Bar -Access to data manipulation, visualization, download tools
Source Bar -Navigational information -Where am I? What operations have I performed?
-Documentation access
Documentation Access Points
Dataset and Variables -Access to variables or lower-level datasets
Grids (Independent Variables) -Information about grids on which data is dependent
-Latitude (Y)-Longitude (X)-Time (T)-Others (height/depth,
ensemble member, etc.)
Note new information -Selected variable shown in Source Bar -Datasets and variables heading gone -More information about variable below
Important information about variable -Missing value indicator -Units
View Links -Access data viewer
Function Bar -Access to data manipulation, visualization, download tools
Data Selection -Data domain selection
Filters -Common data manipulation tools
- Monthly Climatology/Anomaly- Average over any ind. variable- Root mean square- Find max/min values over any ind. variable
Data Files -Access to data downloads
Tables -Access to tabular data for Excel, etc.
Expert mode -Manually enter Ingrid code
Selecting Data Domain
Gridded Datasets
Data Selection -Data domain selection
Data SelectionStep 1. Change text in Setting Ranges boxes using same syntax as text already there.
Step 2. Click Restrict Ranges button.
Step 3. When satisfied information in top box represents desired domain, click the Stop Selecting button.
ExampleTime (T)1 Oct 1996 to 31 Jan 1997
Latitude (Y)60S to 60N
Note: Center of nearest gridpoint automatically selected.
Note: New data domain nowrepresented in Source Bar and grid information.
Visualizing Data: Making maps and graphs
Redraw
Zoom To Full
Help
Change Time -Change text and redraw -Select button with adjacent date
Make Animation -Enter range of dates (date1 “to” date2) and redraw
Change Region -Click and drag box over area -Change lat/lon limits and redraw
Change Color Scale Limits -Enter new limits and redraw
Change Map Options -Use pull down menus to: -Change axis selection -Draw admin boundaries -Draw contours, etc. -Use Edit plot button to add more customizations
Change Map Options -Select a new color scale -Add admin boundariesReturn to Viewer -Click more options
Download map -Select desired format for map and color scale
Return to dataset page -To maintain domain selections from viewer, click data in view button. -To return without saving selections, click Entire Dataset link or dataset link at top of page.
Downloading Data Files
Download Data File
Step 1. Select Data Files link.
Step 2. Select link for desired format.
Download Tables
Step 1. Select Tables link.
Step 2. Select link for desired format.
Note: If planning to import into Excel, select tsv format from columnar tables with options page.
Analysis Options…
http://iridl.ldeo.columbia.edu/dochelp/StatTutorial/
IRI Map Room
Climate Information in Context
http://iridl.ldeo.columbia.edu/maproom/.IFRC/.Forecasts/
Climate Information in Context
http://iri.columbia.edu/~mbell/MDG/
Flying Solo
• Tip: Bookmark analyses you might like to use again
• What to do when you have a question:
1. Look for similar example in the Tutorials and Documentation resources
2. Send email to [email protected]** Copy the url of the page in question into the email
Location of slides:
http://iri.columbia.edu/~mbell/ciph09/
• Locate the UEA CRU TS2.1 dataset– Select the monthly mean temperature variable– Select a climatology base period (1971-2000)– Select Monthly Climatology link from Filters page– View Ingrid in Expert Mode– View data in data viewer– Select region around your country– Select a color scale for temperature and add state
and river overlays– Animate map by entering “Jan to Dec” in time text box
Group Example 6:Make an animated map of monthly climatological temperature in your country, including provincial
boundaries and major rivers
Group Example 6: ResultFirst frame of animation:
Individual Example 3:Make animated map of April soil moisture anomalies in
Afghanistan during 1990-2006
Getting Started…• Dataset location in Library: NOAA NCEP CPC GMSM
• Hint: Calculate anomalies before selecting April dates
Individual Example 3: Result
VIEW RESULT
First frame of animation:
To animate map:Enter Apr 1990 to Apr 2006above map and click Redrawbutton.