Faculty of Geosciences and Geography: Research Data

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Browsing Faculty of Geosciences and Geography: Research Data by Subject "global hydrological modeling"

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  • Research Data
    Assessing Groundwater Drought Hazard in Groundwater Depletion Regions: Recommendations for Large-scale Drought Early Warning Systems - Data set
    2024-08-14
    Herbert, Claudia orcid-logo
    Döll, Petra orcid-logo
    In groundwater depletion (GWD) regions, negative trends in groundwater storage (GWS) are problematic for groundwater drought detection, since they mask climate-induced drought signals. As this is not yet considered in any large-scale drought early warning system (LDEWS), we used GWS from the global hydrological model WaterGAP 2.2e to investigate, for the first time at the global scale, how groundwater drought can best be quantified in GWD regions. We analyzed two methods: 1) Linear detrending of monthly GWS time series and 2) analysis of naturalized GWS computed by assuming no human water use. We found that linear detrending is unsuitable for global-scale groundwater drought monitoring and forecasting as even small deviations from a pronounced linear trend can lead to a systematic over- and underestimation of the drought hazard. In contrast, indicators from naturalized GWS can identify climate-induced GWS anomalies. Here, the reader can download 1) monthly time series of GWS_nat during 1980-2019, 2) groundwater drought hazard indicators assessed in the study, 3) the R scripts for computing the indicators and other data (including required input data), and 4) WaterGAP-related data (e.g., landmask, big cities), and other meta data (e.g., GWD grid cells and LTC grid cells). WaterGAP 2.2e model output from an anthropogenic model run is available at https://doi.org/10.25716/GUDE.0TNY-KJPG.
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