10.48364/ISIMIP.228996 Yoshihide Wada 0000-0003-4770-2539 Martina Flörke Martina Flörke 0000-0003-2943-5289 Naota Hanasaki 0000-0002-5092-7563 Hannes Müller Schmied 0000-0001-5330-9923 Simon N. Gosling 0000-0001-5973-6862 Jacob Schewe Jacob Schewe 0000-0001-9455-4159 ISIMIP Repository 2022 Matthias Büchner Matthias Büchner 0000-0002-1382-7424 Jochen Klar Jochen Klar 0000-0002-5883-4273 Iliusi Vega del Valle Iliusi Vega del Valle 0000-0001-6902-2257 Jan Volkholz Jan Volkholz 0000-0002-2533-3739 Jacob Schewe Jacob Schewe 0000-0001-9455-4159 Stefan Lange Stefan Lange 0000-0003-2102-8873 Franziska Piontek Franziska Piontek 0000-0003-4305-7552 Christopher Reyer Christopher Reyer 0000-0003-1067-1492 Matthias Mengel Matthias Mengel 0000-0001-6724-9685 María del Rocío Rivas López María del Rocío Rivas López 0000-0002-1984-3070 Christian Otto Christian Otto 0000-0001-5500-6774 Bjoern Soergel Bjoern Soergel 0000-0002-2630-7081 Anne Gädeke Anne Gädeke 0000-0003-0514-2908 Martin Park Martin Park 0000-0002-2467-3256 Katja Frieler Katja Frieler 0000-0003-4869-3013 Potsdam Institute for Climate Impact Research 03e8s1d88 2022-06-02 en Input dataset https://protocol.isimip.org https://doi.org/10.5194/gmd-9-175-2016 1.0 CC0 1.0 Universal Public Domain Dedication The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.<br>The ISIMIP3a part of the third simulation round is dedicated to i) impact model evaluation and improvement and ii) detection and attribution of observed impacts according to the framework of IPCC AR5 Working Group II Chapter 18. To this end all simulations are driven by observed socio-economic information combined with either observed (factual) climate data or a detrended (counterfactual) version of the observed climate allowing for the generation of a “no climate change” baseline.<br>For modelling groups that do not have their own representation, we provide files containing the multi-model mean of domestic and industrial water withdrawal and consumption generated by WaterGAP, PCR-GLOBWB, and H08. This data is based on ISIMIP2a varsoc simulations for 1901-2005, and on RCP6.0 simulations from the Water Futures and Solutions project (Wada et al., 2016) for after 2005. Years before 1901 have been filled with the value for the year 1901. global -179.5 179.5 -89.5 89.5