Published March 10, 2023 | Version v1
Dataset Open

Data to "Functional relationships reveal differences in the water cycle representation of global water models"

Creators

  • 1. Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
  • 2. Climate and Livability, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
  • 3. Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Brussels, Belgium
  • 4. Institute of Physical Geography, Goethe University Frankfurt, Frankfurt am Main, Germany
  • 5. Moon Soul Graduate School of Future Strategy, Korea Advanced Institute of Science and Technology, Korea
  • 6. Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, USA
  • 7. Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
  • 8. School of Chemical and Environmental Engineering, Technical University of Crete, Greece
  • 9. National Institute for Environmental Studies, Tsukuba, Japan
  • 10. School of Geography, University of Nottingham, Nottingham, United Kingdom
  • 11. International Institute for Applied Systems Analysis, Laxenburg, Austria
  • 12. Department of Physical Geography, Utrecht University, The Netherlands

Description

This repository contains 30-year (climatological) averages (1975-2004) from 8 global water models, following the ISIMIP 2b protocol: CLM4.5, CWatM, H08, JULES-W1, LPJmL, MATSIRO, PCR-GLOBWB, and WaterGAP2.

Variables included are precipitation (pr), temperature (tas), minimum temperature (tasmin), maximum temperature (tasmax), downwelling shortwave radiation (rsds), downwelling longwave radiation (rlds), net radiation (netrad), potential evapotranspiration (potevap), actual evapotranspiration (evap), groundwater recharge (qr), and total runoff (qtot). For details see https://www.isimip.org/.

domains.csv contains different definitions of the domains used in the paper (wet warm, wet cold, dry cold, dry warm).

days_below_x.csv contains the average fraction of days where the temperature is below x °C.

Files

ISIMIP_2b_aggregated_variables.zip

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