The downscaled global climate model simulations (CMIP3) were developed by The Nature Conservancy for The World Bank. The background and methods are described by Girvetz et al. (2013), with added details in Thrasher et al. (2012). This website allows you to download CMIP3 data in SWAT file format for a given location and time period.

As unconstrained coupled models, the climate simulations do not ingest observed sea surface temperatures, precipitation, or other weather or land surface observations. Thus, there is no expected correspondence on a year-to-year basis of historic simulated climate and observed weather. In addition, because of the bias correction involved in the downscaling, climate model skill (based on these downscaled data) in reproducing historic observations is not meaningful for ranking GCM performance (Maurer et al., 2014).

Girvetz, E.H., E.P. Maurer, P. Duffy, A. Ruesch, B. Thrasher, C. Zganjar, 2013, Making Climate Data Relevant to Decision Making: The important details of Spatial and Temporal Downscaling, The World Bank, March 27, 2013, 43 pp. - download

Thrasher, B., E.P. Maurer, C. McKellar and P.B. Duffy, 2012, Technical Note: Bias correcting climate model simulated daily temperature extremes with quantile mapping, Hydrology and Earth Systems Science 16, 3309–3314, doi:10.5194/hess-16-3309-2012

E. P. Maurer, L. Brekke, T. Pruitt, B. Thrasher, J. Long, P. Duffy, M. Dettinger, D. Cayan, and J. Arnold, 2014: An Enhanced Archive Facilitating Climate Impacts and Adaptation Analysis. Bull. Amer. Meteor. Soc., 95, 1011–1019, doi:10.1175/BAMS-D-13-00126.1 - download

Step 1: Select your bounding box

Hold the Shift key and drag to select your bounding coordinates on the map. Or, type your latitude/longitude coordinates below. For quick response, bounding coordinates must not exceed 12 decimal degrees latitude and 12 longitude. You may submit a larger area, but it will be subject to approval by an administrator before running and make take several weeks to complete depending on the size and number of years requested.

Bounding Box

Step 2: Define your time period for collecting data

Time Period
Notes on incomplete date:
SRES A1B is currently unavailable for MPI ECHAM5.
MIUB ECHO-G is currently unavailable for the period 2046-2064.

Step 3: Select climate change models

Data to Collect
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- More information, wiki
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- Meteorological Institute University of Bonn (MIUB), ECHO-G, Germany
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Step 4: Select what data to collect

Data to Collect

Step 5: How should we deliver your data?

Depending on the size of your region, it may take several hours to compile your data.
We will email you with a link to download a zip file containing your data when it is complete.

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