ISIMIP Fast Track

Climate-impact projections from the ISIMIP Fast Track were generated based on the simulation protocol available below. Information about downloading simulation data from the ISIMIP Fast Track can be found on the Output Data page.

Update from January 2020: All Fast Track data is no longer publicly available. Please use the data from ISIMIP2b or ISIMIP3b since they are created on the basis of much improved bias-corrected climate models. If you still need access to the Fast Track data, in specific cases this is available upon request; please write to

Information on input data

Regridding input data to a coarser grid

As indicated in the simulation protocol, ISIMIP input data is provided on a 0.5°x0.5° lat-lon grid. In the case that you need to run your impact model at a coarser resolution in order to be able to cover at least the minimal scenario set-up, the JULES model team has kindly provided some tools that can be used to interpolate the data to the 1.875 x 1.25 degree grid of the HadGEM2-ES climate model. You may use these if you choose to regrid to this resolution:

Please contact Rutger Dankers ( if you have any questions about these files.

The shell script will need to be adjusted to the data sets and file systems you are working with.

Input data

The input data sets for the ISIMIP Fast Track can be found in the Input Data section of the Getting Started page. This includes socio-economic (SSP) data, land-cover and topographic data and climate data. The climate-data were bias corrected using the method described in Hempel et al. (2013).

Visualisation and analysis


To increase readability and comparability, we recommend the method for uncertainty plots for multi-model analysis used in Kaye et al. (2012).

The colour coding for the RCPs including RGB values should be as follows:

  • RCP8.5 Red RGB 255 0 0 - hex values: #FF0000
  • RCP6.0 Orange RGB 255 130 45 - hex values: #FF822d
  • RCP4.5 Light Blue RGB 121 188 255 - hex values: #79BC9B
  • RCP2.6 Dark Blue RGB 0 0 255 - hex values: #0000FF

Set of regions

Here are the GEO-3 subregions for the spatial aggregation of ISIMIP Fast Track results. The GEO-regions have the advantage that they are defined along national borders (rather than simple rectangles), and therefore data at the country level can easily be aggregated to these regions. Here are the region definitions.

IRIS - data analysis and visualisation tool

The Met Office is developing IRIS - a data analysis and visualisation tool for doing analysis/visualisation in python. Iris is released as free and open source software under the Lesser Gun Public License and you can get it here.

Participating models

34 models delivered impacts simulations based on the ISIMIP Fast Track protocol, covering the agriculture and agro-economic, coastal systems, vector-borne diseases, biomes and water sectors, all at the global scale. A list of these models can be found by searching for 'Fast Track' in the Output Data table.