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

  1. Gosling, Simon 1
  2. Müller Schmied, Hannes 2
  3. Betts, Richard 3
  4. Chang, Jinfeng 4
  5. Ciais, Philippe 5
  6. Dankers, Rutger 6
  7. Döll, Petra 7
  8. Eisner, Stephanie 8
  9. Flörke, Martina 9
  10. Gerten, Dieter 10
  11. Grillakis, Manolis 11
  12. Hanasaki, Naota 12
  13. Hagemann, Stefan 13
  14. Huang, Maoyi 14
  15. Huang, Zhongwei 15
  16. Jerez, Sonia 16
  17. Kim, Hyungjun 17
  18. Koutroulis, Aristeidis 11
  19. Leng, Guoyong 14
  20. Liu, Xingcai 15
  21. Masaki, Yoshimitsu 18
  22. Montavez, Pedro 16
  23. Morfopoulos, Catherine 3
  24. Oki, Taikan 17
  25. Papadimitriou, Lamprini 11
  26. Pokhrel, Yadu 19
  27. Portmann, Felix T. 7
  28. Orth, Rene 20
  29. Ostberg, Sebastian 10
  30. Satoh, Yusuke 21
  31. Seneviratne, Sonia 22
  32. Sommer, Philipp 23
  33. Stacke, Tobias 24
  34. Tang, Qiuhong 25
  35. Tsanis, Ioannis 11
  36. Wada, Yoshihide 21
  37. Zhou, Tian 14
  38. Büchner, Matthias 10
  39. Schewe, Jacob 10
  40. Zhao, Fang 10
  41. Erakutsi egile guztiak +
  1. 1 School of Geography, University of Nottingham, UK
  2. 2 Institute of Physical Geography (IPG), Goethe-University Frankfurt, Germany
  3. 3 University of Exeter, UK
  4. 4 Laboratoire des Sciences du Climat et de l'Environnement (LSCE), France
  5. 5 Institute Pierre Simon Laplace (IPSL), France
  6. 6 Met Office, UK
  7. 7 Universität Frankfurt, Germany
  8. 8 Center for Environmental Systems Research (CESR), University of Kassel, Germany
  9. 9 Center of Environmental Systems Research (CESR), University of Kassel, Germany
  10. 10 Potsdam-Institute for Climate Impact Research (PIK), Germany
  11. 11 Technical University of Crete, Greece
  12. 12 National Institute for Environmental Studies, Japan
  13. 13 Max-Planck-Institute for Meteorology, Germany
  14. 14 Pacific Northwest National Laboratory (PNNL), USA
  15. 15 Chinese Academy of Sciences, China
  16. 16 University of Murcia, Spain
  17. 17 Institute of Industrial Science, University of Tokyo, Japan
  18. 18 Hirosaki University, Japan
  19. 19 Michigan State University, USA
  20. 20 Institute for Atmospheric and Climate Science, ETH Zürich
  21. 21 International Institute for Applied Systems Analysis, Austria
  22. 22 ETH Zurich, Switzerland
  23. 23 University of Lausanne, Switzerland
  24. 24 Max Planck Institute for Meteorology, Germany
  25. 25 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China
Erakutsi afiliazioak +

Argitaratzaile: GFZ Data Services

Argitalpen urtea: 2019

Mota: Dataset

DOI: 10.5880/PIK.2019.003 lock_openSarbide irekia editor

Laburpena

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

Erreferentzia bibliografikoak

  • https://esg.pik-potsdam.de/projects/isimip/
  • https://www.earthsystemcog.org/projects/cog/tutorials_web
  • https://www.isimip.org/outcomes/publications-overview-page/
  • https://www.isimip.org/gettingstarted/#input-data-bias-correction
  • https://www.isimip.org/outputdata/output-data-changelog/isimip2a-pcr-globwb-reported-three-variables-wrong-unit/
  • https://www.isimip.org/outputdata/output-data-changelog/