ISIMIP2a Simulation Data from Water (global) Sector (V. 1.1)

DOI

VERSION HISTORY:-On October 18, 2018 we republished all simulation data for all water (global) sector impact models to get the data sets into the new ESGF search facet structure. There were no changes to the simulation data.- On November 27, 2018 we republished simulation data for monthly variables swe, soilmoist and rootmoist for impact model PCR-GLOBWB due to an error in the units. Instead of reporting mass per area (kg/m2), values corresponded to mass flux rate (kg/m2/s). Values were thus multiplied by 86400 in order to obtain the correct values in kg/m2. This data caveat was documented in the ISIMIP website (ISIMIP2a: PCR-GLOBWB reported three variables in wrong unit). ----------------------------------------------------------------------------The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) simulation data is under continuous review and improvement, and updates are thus likely to happen. All changes and caveats are documented under https://www.isimip.org/outputdata/output-data-changelog/. For accessing the data set as in http://doi.org/10.5880/PIK.2017.010 before November 27, 2018 please write to the ISIMIP Data Management Team: isimip-data[at]pik-potsdam.de.---------------------------------------------------------------------------- DATA DESCRIPTION: 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 approx.) of climate impacts on agriculture, fisheries, permafrost, biomes, regional and global water and forests. This may 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. 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 global hydrology models: CLM4, DBH, H08, JULES_W1, JULES_B1, LPJmL, MATSIRO, MPI-HM, ORCHIDEE, PCR-GLOBWB, SWBM, VIC, WaterGAP2

The ISIMIP2a water (global) outputs are based on simulations from 13 global 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.2019.003
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/publications-overview-page/
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
Related Identifier https://doi.org/10.5880/PIK.2017.010
Related Identifier https://www.isimip.org/outputdata/output-data-changelog/isimip2a-pcr-globwb-reported-three-variables-wrong-unit/
Related Identifier https://www.isimip.org/outputdata/output-data-changelog/
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6636
Provenance
Creator Gosling, Simon ORCID logo; Müller Schmied, Hannes ORCID logo; Betts, Richard; Chang, Jinfeng; Ciais, Philippe ORCID logo; Dankers, Rutger ORCID logo; Döll, Petra ORCID logo; Eisner, Stephanie; Flörke, Martina ORCID logo; Gerten, Dieter; Grillakis, Manolis ORCID logo; Hanasaki, Naota ORCID logo; Hagemann, Stefan ORCID logo; Huang, Maoyi ORCID logo; Huang, Zhongwei; Jerez, Sonia ORCID logo; Kim, Hyungjun; Koutroulis, Aristeidis ORCID logo; Leng, Guoyong; Liu, Xingcai ORCID logo; Masaki, Yoshimitsu; Montavez, Pedro ORCID logo; Morfopoulos, Catherine; Oki, Taikan ORCID logo; Papadimitriou, Lamprini; Pokhrel, Yadu; Portmann, Felix T.; Orth, Rene; Ostberg, Sebastian; Satoh, Yusuke; Seneviratne, Sonia ORCID logo; Sommer, Philipp ORCID logo; Stacke, Tobias ORCID logo; Tang, Qiuhong; Tsanis, Ioannis; Wada, Yoshihide; Zhou, Tian; Büchner, Matthias ORCID logo; Schewe, Jacob ORCID logo; Zhao, Fang ORCID logo
Publisher GFZ Data Services
Contributor Gosling, Simon; Müller Schmied, Hannes; Büchner, Matthias; Schewe, Jacob; Zhao, Fang
Publication Year 2019
Rights Model data are licensed under CC BY 4.0; EXCEPTIONS: data from model WaterGAP2 and MATSIRO are licensed under CC BY-NC 4.0; http://creativecommons.org/licenses/by/4.0/; http://creativecommons.org/licenses/by-nc/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/octet-stream
Size 1 Files
Discipline Earth System Research
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N); global, annual, monthly, daily