As of January 2020, both ISIMIP Fast Track input and output data are no longer available for download. Please check the ISIMIP2b or ISIMIP3b data instead, as these are based on improved global climate models and bias adjustment methods. If you still need access to the Fast Track data, this is available upon well justified requests in certain cases; please write to isimip-data@pik-potsdam.de. All information below is deprecated.
Climate-impact projections from the ISIMIP Fast Track were generated based on the simulation protocol available here. Instructions on accessing these input and output datasets are mentioned here.
The input data 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). Details about the input data sets for the ISIMIP Fast Track can be found in the Input Data table.
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 the following scripts if you choose to regrid to this resolution:
Please contact Rutger Dankers (rutger.dankers@metoffice.gov.uk) if you have any questions about these files. And please note that the shell script will need to be adjusted to the data sets and file systems you are working with.
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.
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.
Model information and data caveats from ISIMIP Fast Track, including remarks on the bias-corrected GCM input data, can be found here.
