ISIMIP2a Simulation Data from the Regional Water Sector

Cite as

Valentina Krysanova, Fred Hattermann, Valentin Aich, Tadesse Alemayehu, Berit Arheimer, Georgy Ayzel, Lutz Breuer, Alejandro Chamorro, Prasad Daggupati, Aklilu Dinkneh, Chantal Donnelly, Stephanie Eisner, Martina Flörke, Chao Gao, Alexander Gelfan, Yeugeniy Gusev, David Gustafsson, Uwe Haberlandt, Jinlong Huang, Shaochun Huang, Yeshewatesfa Hundecha, Tong Jiang, Andrei Kalugin, Hagen Koch, Evgeny E. Kovalev, Philipp Kraft, Inna Krylenko, Rohini Kumar, Dipangkar Kundu, Alexander Lavrenov, Stefan Liersch, Suxia Liu, Anastasia Lobanova, Vimal Mishra, Xingguo Mo, Juri Motovilov, Olga Nasonova, Ilias Pechlivanidis, Mikolaj Piniewski, Stefan Plötner, Sandhya Rao, Julia Reinhardt, María del Rocío Rivas López, Luis Samaniego, Ousmane Seidou, Harsh L. Shah, Pengfei Shi, Raghavan Srinivasan, Michael Strauch, Buda Su, Julia Tecklenburg, Aklilu Teklesadik, Ann van Griensven, Floris van Ogtrop, Willem Vervoort, Tobias Vetter, Martin Volk, Markus Wallner, Xiaoyan Wang, Shanshan Wen, Michel Wortmann, Tao Yang, Xiaofan Zeng, Matthias Büchner, Jacob Schewe, Fang Zhao (2025): ISIMIP2a Simulation Data from the Regional Water Sector (v2.2). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.571080.2

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.571080.2
Title:
ISIMIP2a Simulation Data from the Regional Water Sector
Version:
2.2
Creators:
Contact person:

For inquiries concerning this dataset, please contact info@isimip.org.

Abstract:

This dataset contains ISIMIP2a (https://www.isimip.org, Schewe et al. 2019) simulation data from 22 regional water models models: ECOMAG (Motovilov 1999a, Motovilov 1999b), HBV-IWW, HBV-JLU, HBV-PIK, HYMOD-JLU, HYMOD-UFZ (Boyle 2001, Vrugt et al. 2005, Moore et al. 2010), HYPE (Lindstrom et al. 2010, Donelly et al. 2016, Pechlivanidis et al. 2015), mHM (http://www.ufz.de/mhm, Samaniego et al. 2010, Rakovec et al. 2015, Kumar et al. 2013), SWAP (Gusev et al .2003, Gusev et al. 2006), SWAT-CMA, SWAT-SGGW, SWAT-TAMU, SWAT-UFZ, SWAT-uOttawa, SWAT-VUB (Arnold et al. 2007, Krysanova & Wechsung 2006), SWIM-CMA, SWIM-NVE (Krysanova et al. 1998, Krysanova & Wechsung 2006), SWIM-PIK (https://gitlab.pik-potsdam.de/swim/swim) VIC-CMA, VIC-HHU, VIC-IITGN (https://vic.readthedocs.io/en/master/, Liang et al. 1994), VIC-NVE (https://vic.readthedocs.io/en/master/, Huang et al. 2017), VIP, and WaterGAP3.

With version 2.0 of this dataset, the DOI page moved to the new ISIMIP repository.

Version 2.1 adds the datasets for ECOMAG.

Version 2.2 adds one dataset for SWAT-uOttawa.

Methods:

The ISIMIP2a regional water outputs are based on simulations from regional water models according to the ISIMIP2a protocol (https://www.isimip.org/protocol/2a/) A more detailed description of the models and model-specific amendments of the protocol are available at https://www.isimip.org/impactmodels.

Publication date:
March 3, 2025
Publisher:
ISIMIP Repository
Contributors:

Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset.

Rights

The datasets for this DOI are published under different usage rights (please check the license statement for each dataset):
CC0 1.0 Universal Public Domain Dedication
CC0 1.0 Universal Public Domain Dedication (CC0 1.0)
Attribution 4.0 International
Attribution 4.0 International (CC BY 4.0)
Attribution-ShareAlike 4.0 International
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment. We strongly encourage to offer co-authorship to at least a representative of the data providers. Further information can be found in our terms of use.

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References

  • Arnold J, Srinivasan R, Muttiah R, Williams J et al. LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT. Journal of the American Water Resources Association, 34, 73-89, 2007. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  • Boyle, Douglas Patrick: Multicriteria calibration of hydrologic models, Dissertation, University of Arizona, 2001. https://doi.org/3023521
  • Donnelly C, Andersson J, Arheimer B et al. Using flow signatures and catchment similarities to evaluate the E-HYPE multi-basin model across Europe. Hydrological Sciences Journal, 61, 255-273, 2016. https://doi.org/10.1080/02626667
  • Gusev, E.M., Nasonova, O.N., Kovalev, E.E. et al. Modeling the components of heat and water balance for the land surface of the globe. Water Resources. , 33, 616-627, 2006. https://doi.org/10.1134/S0097807806060030
  • Gusev Ye.M., Nasonova O.N. et al. Modelling heat and water exchange in the boreal spruce forest by the land-surface model SWAP. J. Hydrology, 280, 162-191, 2003. https://doi.org/doi.org/10.1016/S0022-1694(03)00221-X
  • Huang S, Kumar R, Flörke M, Yang T, Hundecha Y, Kraft P, Gao C, Gelfan A, Liersch S, Lobanova A, Strauch M, van Ogtrop F, Reinhardt J, Haberlandt U, Krysanova V et al. Erratum to: Evaluation of an ensemble of regional hydrological models in 12 large-scale river basins worldwide. Climatic Change, 141, 399-400, 2017. https://doi.org/10.1007/s10584-016-1895-7
  • Krysanova, Valentina, Wechsung, Frank: SWIM (soil and water integrated model) : user manual. PIK report; No. 69. 2006. http://nbn-resolving.org/urn:nbn:de:kobv:b103-pik697
  • Kumar, R., Samaniego, L. & Attinger, S. et al. Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations. Water Resources Research, 49, 360–379, 2013. https://doi.org/10.1029/2012WR012195
  • Lindstrom G., Pers C., Rosberg J., Stromqvist J., Arheimer B. et al. Development and testing of the HYPE (Hydrological Predictions for the Environment) water quality model for different spatial scales. Hydrology Research, 41, 295-319, 2010. https://doi.org/10.2166/nh.2010.007
  • Luis Samaniego et al. Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale. Water Resources Research, 46, W05523, 2010. https://doi.org/10.1029/2008wr007327
  • Moore R et al. The probability-distributed principle and runoff production at point and basin scales. Hydrological Sciences Journal, 30, 273-297, 2010. https://doi.org/10.1080/02626668509490989
  • Motovilov, Yuri G.: ECOMAG – regional model of hydrological cycle. Application to the NOPEX region. Oslo : Depatment of Geophysics, University of Oslo, 1999. https://urn.nb.no/URN:NBN:no-nb_digibok_2010021504027
  • Pechlivanidis I, Arheimer B et al. Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case. Hydrology and Earth System Sciences Discussions, 12, 2885-2944, 2015. https://doi.org/10.5194/hessd-12-2885-2015
  • Rakovec O, Kumar R, Mai J, Cuntz M, Thober S, Zink M, Attinger S, Schäfer D, Schrön M, Samaniego L et al. Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins. J. Hydrometeor, 17, 287-307, 2015. https://doi.org/10.1175/jhm-d-15-0054.1
  • Schewe, J., Gosling, S.N., Reyer, C. et al. State-of-the-art global models underestimate impacts from climate extremes. Nat Commun 10, 1005 (2019). https://doi.org/10.1038/s41467-019-08745-6
  • Valentina Krysanova, Dirk-Ingmar Müller-Wohlfeil, Alfred Becker, Development and test of a spatially distributed hydrological/water quality model for mesoscale watersheds, Ecological Modelling, Volume 106, Issues 2–3, 1998, Pages 261-289, ISSN 0304-3800. https://doi.org/10.1016/S0304-3800(97)00204-4
  • Vrugt, J. A., Diks, C. G. H., Gupta, H. V., Bouten, W., and Verstraten, J. M. (2005), Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data assimilation, Water Resour. Res., 41, W01017. https://doi.org/10.1029/2004wr003059
  • Xu Liang, Dennis P. Lettenmaier, Eric F. Wood, Stephen J. Burges et al. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. JOURNAL OF GEOPHYSICAL RESEARCH Atmosphere, 99, 14, 415-14, 428, 1994. https://doi.org/10.1029/94JD00483
  • Yuri G Motovilov, Lars Gottschalk, Kolbjørn Engeland, Allan Rodhe, Validation of a distributed hydrological model against spatial observations, Agricultural and Forest Meteorology, Volumes 98–99, 1999, Pages 257-277, ISSN 0168-1923, https://doi.org/10.1016/S0168-1923(99)00102-1

Additional documentation

Other references

This DOI is a new version of

  • Krysanova, Valentina; Hattermann, Fred; Aich, Valentin; Alemayehu, Tadesse; Arheimer, Berit; Ayzel, Georgy; Breuer, Lutz; Chamorro, Alejandro; Daggupati, Prasad; Dinkneh, Aklilu; Donnelly, Chantal; Eisner, Stephanie; Flörke, Martina; Gao, Chao; Gelfan, Alexander; Gusev, Yeugeniy; Gustafsson, David; Haberlandt, Uwe; Huang, Jinlong; Huang, Shaochun; Hundecha, Yeshewatesfa; Jiang, Tong; Kalugin, Andrei; Koch, Hagen; Kovalev, Evgeny E.; Kraft, Philipp; Krylenko, Inna; Kumar, Rohini; Kundu, Dipangkar; Lavrenov, Alexander; Liersch, Stefan; Liu, Suxia; Lobanova, Anastasia; Mishra, Vimal; Mo, Xingguo; Motovilov, Yuri; Nasonova, Olga; Pechlivanidis, Ilias; Piniewski, Mikolaj; Plötner, Stefan; Rao, Sandhya; Reinhardt, Julia; Rivas López, María del Rocío; Samaniego, Luis; Seidou, Ousmane; Shah, Harsh L.; Shi, Pengfei; Srinivasan, Raghavan; Strauch, Michael; Su, Buda; Tecklenburg, Julia; Teklesadik, Aklilu; van Griensven, Ann; van Ogtrop, Floris; Vervoort, Willem; Vetter, Tobias; Volk, Martin; Wallner, Markus; Wang, Xiaoyan; Wen, Shanshan; Wortmann, Michel; Yang, Tao; Zeng, Xiaofan; Büchner, Matthias; Schewe, Jacob; Zhao, Fang (2023): ISIMIP2a Simulation Data from the Regional Water Sector. Version 2.1. ISIMIP Repository. (Dataset). https://doi.org/10.48364/ISIMIP.571080.1.

GCMD Keywords

  • EARTH SCIENCE > AGRICULTURE > AGRICULTURAL PLANT SCIENCE > IRRIGATION
  • EARTH SCIENCE > CLIMATE INDICATORS > TERRESTRIAL HYDROSPHERE INDICATORS > FRESHWATER RUNOFF
  • EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > SNOW WATER EQUIVALENT
  • EARTH SCIENCE > HUMAN DIMENSIONS > ECONOMIC RESOURCES > ENERGY PRODUCTION/USE > HYDROELECTRIC ENERGY PRODUCTION/USE
  • EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > ENVIRONMENTAL ASSESSMENTS
  • EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > WATER MANAGEMENT
  • EARTH SCIENCE > HUMAN DIMENSIONS > HABITAT CONVERSION/FRAGMENTATION > IRRIGATION
  • EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > DROUGHTS
  • EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > FLOODS
  • EARTH SCIENCE > HUMAN DIMENSIONS > SUSTAINABILITY > ENVIRONMENTAL SUSTAINABILITY
  • EARTH SCIENCE > HUMAN DIMENSIONS > SUSTAINABILITY > SUSTAINABLE DEVELOPMENT
  • EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER > GROUND WATER PROCESSES/MEASUREMENTS > DISCHARGE
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW WATER EQUIVALENT
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER FEATURES > RIVERS/STREAMS
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > AQUIFER RECHARGE
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > DRAINAGE
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > FLOODS
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > RUNOFF
  • EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > TOTAL SURFACE WATER
  • Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled vocabularies maintained by NASA (more information).

Datasets for this DOI

There are 237 datasets for this DOI. Here we only display the first 100 datasets. You can use the search interface to further restrict your query: https://data.isimip.org/search/query/10.48364/ISIMIP.571080.2/