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This is the archive relating to the ISIMIP2b simulation round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) according to the ISIMIP2b simulation protocol. The scientific rationale for the scenario design has been document in the paper "Assessing the impacts of 1.5°C global warming..." by Frieler, et al. in Geoscientific Model Development.


Please pay attention to the ISIMIP output data changelog and ISIMIP Terms of Use before downloading data from this archive. Until 15 May, 2018, to use of the climate-impacts simulations for any publications, you must offer the owners of each data set co-authorship on the publication.


> Search the ISIMIP2b data archive <

The ISIMIP2b simulation scenarios are designed to elicit the contribution of climate change to impacts arising from low-emissions climate-change scenarios. Pre-industrial control runs are included to facilitate statistical comparison with a no-climate-change case. The simulation protocol covers: global biomes, regional forests, global and regional hydrology, agriculture, permafrost, energy supply & demand, coastal infrastructure, heat-related mortality, fisheries & marine ecosystems and tropical cyclones.


Remarks on the bias-corrected climate data

The ISIMIP2b forcing data are adjusted to the newly compiled reference dataset EWEMBI (E2OBS, WFDEI and ERAI data merged and bias-corrected for ISIMIP), which covers the entire globe at 0.5° horizontal and daily temporal resolution from 1979 to 2013.


The EWEMBI dataset was compiled to support the bias correction of climate input data for the impact assessments carried out in phase 2b of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b; Frieler et al., 2017).


DOIs for the EWEMBI Input data are listed in


Remarks on the simulation data

DOIs for the ISIMIP2b Simulation Data from the Different Sectors are listed in


Last Update: May 7, 2019, 2:40 p.m. by Iliusi
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