research data . Dataset . 2022

WaterGAP2.2d model derived Potential evapotranspiration and Renewable water resources variables under climate change, with and without vegetation response mimicking approach.

Peiris, Thedini Asali; Döll, Petra;
Open Access English
  • Published: 30 May 2022
  • Publisher: Zenodo
Abstract
This data set is produced as a part of the ''Improving the quantification of climate change hazards by hydrological models: A simple approach for mimicking the impact of active vegetation on potential evapotranspiration" journal publication (in preparation). WaterGAP2.2d global hydrological model with two different settings; 1) without active vegetation (PT) and 2) with active vegetation mimicking method (PT-MA) (please refer to the publication for more details on the method) used to derive the data set. The bias-adjusted GCM-derived (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, and MIROC5) climate data under RCP2.6 and RCP8.5 emission scenarios were used as the input. The model-derived potential evapotranspiration and the renewable water resources variables are available from 1981 to 2099 on the monthly scale for each land grid cell (spatial resolution: 0.5 degrees x 0.5 degrees). The data files are in the netCDF format (.nc4).
Persistent Identifiers
Subjects
free text keywords: WaterGAP, active vegetation, potential evapotranspiration, renewable water resources, Global hydrological model
Communities
  • SDSN - Greece Sustainable Development Projects : European Research Area for Climate Services
Funded by
EC| ERA4CS
Project
ERA4CS
European Research Area for Climate Services
  • Funder: European Commission (EC)
  • Project Code: 690462
  • Funding stream: H2020 | ERA-NET-Cofund
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Open Access
ZENODO
Dataset . 2022
Providers: ZENODO
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