ISIMIP2a Simulation Data from Water (regional) Sector

DOI

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a set of consistent, multi-sector, multi-scale climate-impact simulations, based on scientifically and politically-relevant historical and future scenarios. This framework serves as a basis for robust projections of climate impacts, as well as facilitating model evaluation and improvement, allowing for improved estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. It also provides a unique opportunity to consider interactions between climate change impacts across sectors.

ISIMIP2a is the second ISIMIP simulation round, focusing on historical simulations (1971-2010) of climate impacts on agriculture, fisheries, permafrost, biomes, regional and global water and forests. This will serve as a basis for model evaluation and improvement, allowing for improved estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming.

In the regional water sector, future simulations of climate-change impacts were also carried out, using climate data from five global climate models (GCMs: HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, GFDL-ESM2M and NorESM1-M) for the four Representative Concentration Pathways (RCPs: RCP2.6, RCP4.5, RCP6.0 and RCP8.5).

The focus topic for ISIMIP2a is model evaluation and validation, in particular with respect to the representation of impacts of extreme weather events and climate variability. During this phase, four common global observational climate data sets were provided across all impact models and sectors. In addition, appropriate observational data sets of impacts for each sector were collected, against which the models can be benchmarked. Access to the input data for the impact models is provided through a central ISIMIP archive (see https://www.isimip.org/gettingstarted/#input-data-bias-correction).

This entry refers to the ISIMIP2a simulation data from regional hydrology models (river basins in brackets):HBV-CMA (Yangtze)HBV-IWW (Tagus)HBV-JLU (Rhine, Ganges, Mississippi)HBV-PIK (Rhine, Niger, Yellow, Blue Nile, Amazon)HYMOD-JLU (Rhine, Ganges, Mississippi)HYMOD-UFZ (Rhine, Niger, Blue Nile, Ganges, Yellow, Darling, Mississippi, Amazon)HYPE (Rhine, Tagus, Niger, Ganges, Lena, Mackenzie)mHM (Rhine, Niger, Blue Nile, Ganges, Yellow, Darling, Mississippi, Amazon)SWAP (Rhine, Tagus, Niger, Ganges, Yellow, Yangtze; Lena, Darling, MacKenzie, Mississippi, Amazon)SWAT (Yangtze; Darling; Blue Nile; Amazon; Mississippi; Niger)SWIM (Rhine, Yellow, Mississippi; Niger; Lena; Tagus; Blue Nile; Yangtze; Ganges, Amazon)VIC (Tagus, Blue Nile, Yellow, Lena, Darling, Amazon, MacKenzie; Rhine, Niger, Mississippi; Ganges; Yangtze)VIP (Yellow)WaterGAP3 (Rhine, Tagus, Niger, Blue Nile, Ganges, Yellow, Lena, Mississippi)ECOMAG (Lena, MacKenzie)

The ISIMIP2a water (regional) outputs are based on simulations from 15 regional hydrology models (see listing) according to the ISIMIP2a protocol (https://www.isimip.org/protocol/#isimip2a). The models simulate hydrological processes and dynamics (part of the models also considering human water abstractions and reservoir regulation) based on climate and physio-geographical information. A more detailed description of the models and model-specific amendments of the protocol are available here: https://www.isimip.org/impactmodels/.

Identifier
DOI https://doi.org/10.5880/PIK.2018.007
Related Identifier https://esg.pik-potsdam.de/projects/isimip/
Related Identifier https://www.earthsystemcog.org/projects/cog/tutorials_web
Related Identifier https://www.isimip.org/outcomes/#papers-isimip2a
Related Identifier https://www.isimip.org/protocol/#isimip2a
Related Identifier https://www.isimip.org/impactmodels
Related Identifier https://www.isimip.org/gettingstarted/#input-data-bias-correction
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6367
Provenance
Creator Krysanova, Valentina; Hattermann, Fred; Aich, Valentin ORCID logo; Alemayehu, Tadesse ORCID logo; Arheimer, Berit ORCID logo; Ayzel, Georgy; Breuer, Lutz ORCID logo; Chamorro, Alejandro; Daggupati, Prasad ORCID logo; Donnelly, Chantal ORCID logo; Eisner, Stephanie ORCID logo; Flörke, Martina ORCID logo; Gao, Chao; Gelfan, Alexander; Gusev, Yeugeniy ORCID logo; Gustafsson, David ORCID logo; Haberlandt, Uwe ORCID logo; Huang, Jinlong; Huang, Shaochun ORCID logo; Hundecha, Yeshewatesfa; Jiang, Tong; Kalugin, Andrei ORCID logo; Koch, Hagen ORCID logo; Kovalev, Evgeny E.; Kraft, Philipp; Krylenko, Inna; Kumar, Rohini ORCID logo; Kundu, Dipangkar; Liersch, Stefan ORCID logo; Liu, Suxia; Lobanova, Anastasia; Lavrenov, Alexander; Mishra, Vimal; Mo, Xingguo; Motovilov, Yury ORCID logo; Nasonova, Olga; van-Ogtrop, Floris ORCID logo; Pechlivanidis, Ilias (ORCID: 0000-0002-3416-317X); Piniewski, Mikolaj ORCID logo; Plötner, Stefan; Reinhardt, Julia ORCID logo; Samaniego, Luis ORCID logo; Seidou, Ousmane ORCID logo; Shah, Harsh ORCID logo; Shi, Pengfei; Strauch, Michael ORCID logo; Su, Buda; Tecklenburg, Julia ORCID logo; Teklesadik, Aklilu; van Griensven, Ann ORCID logo; Vervoort, Willem ORCID logo; Vetter, Tobias ORCID logo; Wallner, Markus; Wang, Xiaoyan; Wortmann, Michel; Yang, Tao; Zeng, Xiaofan; Büchner, Matthias ORCID logo; Schewe, Jacob ORCID logo; Zhao, Fang ORCID logo
Publisher GFZ Data Services
Contributor Krysanova, Valentina; Hattermann, Fred; Büchner, Matthias; Schewe, Jacob; Zhao, Fang; Dongnan, Jian; Jing, Chen; Hemin, Sun; Yanjun, Wang
Publication Year 2017
Rights Model data are licensed under CC BY 4.0; EXCEPTIONS: data from models WaterGAP3 and mHM are licensed under CC BY-NC 4.0 (non commercial use); http://creativecommons.org/licenses/by/4.0/; http://creativecommons.org/licenses/by-nc/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format text/plain; application/octet-stream
Size 1224 Bytes; 2 Files
Discipline Earth System Research
Spatial Coverage (-9.750W, 38.250S, -1.250E, 45.250N); regional, daily; regional, monthly, daily; regional, daily; regional, daily; regional, annual, monthly, daily; regional, monthly, daily; regional, annual, monthly, daily; regional, annual, monthly, daily; regional, annual, monthly, daily; regional, annual, monthly, daily; regional, annual, monthly, daily