Climate Mapper Plug-in for SERVIR-Viz

Published: Mar 28 2012


SERVIR logoThe Climate Mapper, developed by IAGT for SERVIR-Viz project designers, provides access to historical weather data as well as projections of climate change. Users can zoom into specific areas and view summarized data in the form of charts and graphs. The data also can be exported to a spreadsheet application. The Climate Mapper grew out of USAID’s effort to develop its Climate Change Adaptation Guidance Manual. The Climate Mapper now serves the entire globe, excluding the polar regions.

The Climate Mapper presents historical temperature and precipitation for the base period (1961-1990). These data are taken from the University of East Anglia's Climate Research Unit (CRU) database of monthly climate observations from meteorological stations and interpolated onto a 0.5° grid covering the global land surface.

The modeled data are monthly data averaged over the decades 2031-2040 and 2051-2060. Data are outputs of three of the models used in the IPCC’s 4th Assessment Report: the National Center for Atmospheric Research Community Climate System Model (NCAR CCSM); the European Centre/Hamburg Model (ECHAM); and the Geophysical Fluid Dynamics Laboratory Coupled Model (GFDL-CM21). These models were chosen because they represent the highest, middle, and lowest projections for changes in Africa in the Climate Moisture Index (CMI), a measure of the relative balance of precipitation and temperature. The models were run using the A1B SRES scenario, a scenario of economic activity and carbon emissions that most closely represents the current or business-as-usual economic and carbon emissions trajectory.  

Information on past weather and projected climate should inform development practitioners as they design projects to be more resilient to climate variability and change. Project designers should note, however, that climate projections are not predictions; they are scenarios of possible futures based on complex models. Models provide insights, but all of the development practitioner’s knowledge and experience should be brought into the design of a project.




The Climate Mapper data are available for ½ degree ½ degree grid cells, or roughly 50km x 50km near the equator. 

Time Range:

The data presented as maps and graphs are the difference (delta) of a ten year average of GCM monthly values for the SRES A1B scenario compared with the 30 year average base period (1961 -1990). 


Download SERVIR-Viz Version 2.1.8 (21 MB)

Download SERVIR--Viz Climate Mapper Plug-in


SERVIR no longer supports this application.

Other Resources:

Uncertainties in Understanding Low- and High-Latitude Climate Sensitivity Affect Ability to Predict Climate Change Impacts


To use the Climate Mapper: 

  1. Install and open SERVIR-Viz (requires Microsoft .net 2.0)
  2. Activate the plug-in for the "Climate Mapper"
  3. From the SERVIR-Viz screen, Click on the Climate Mapper button
  4. An interactive screen will appear on top of the SERVIR globe
  5. From the first drop-down menu, select a theme (e.g., temperature, precipitation, potential evapo-transpiration (PET), soil moisture, or runoff)
  6. Select the radio button for "observed" or "projected" data
  7. If you select "Observed," the drop-down menu entitled "Observed" will become active. You can then choose monthly data for the 30 year period from 1961 – 1991 or the monthly average for that period.
  8. If you select "Modeled Projection," you can select 1-3 General Circulation models to display graphically in the table area.
  9. Under "Choose an Action," if you select "Map," a map will be generated showing the changes for the whole continent.
  10. If you choose "Graph by x,y location," you can click on a spot on the globe (Africa only at this time) and a graph will be generated using the outputs from the grid cell around the point where you clicked. A pushpin image should appear on the globe to show where you clicked.
  11. If you want to use the data from the graph in a spreadsheet, click "export graph data." This will save the data in a spreadsheet.

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