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GSDD, A Catchment-Scale Global Streamflow Drought Database based on Observed Daily Discharge

GSDD, A Catchment-Scale Global Streamflow Drought Database based on Observed Daily Discharge

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Authors

Aparna Raut , Poulomi Ganguli

Abstract

Streamflow droughts increasingly threaten global water security, hydropower production, and freshwater ecosystems. Understanding observed streamflow drought characteristics is key to water supply management, energy and food production. However, global drought datasets primarily rely on meteorological indicators (e.g., precipitation and evapotranspiration), while a few offers grid-based hydrological drought datasets. All these datasets are in monthly temporal resolution. The streamflow droughts and associated characteristics at finer temporal resolutions, using observed discharge series, are currently lacking at a global scale, making it challenging to capture the full spectrum of drought characteristics and their impacts. We introduce the Global Streamflow Drought Database v1 (GSDD-v1), a comprehensive global inventory of streamflow droughts. The database comprises drought characteristics of 2,998 regulated and unregulated catchments, representing 29 IPCC climate regions, covering the past seven decades (1950-2024). Our global dataset includes event-based drought onset and termination times and accumulated deficit volume, which is relevant for reservoir planning and agricultural operations. GSDD-v1 provides a key starting point for basin-scale drought risk assessment, offering valuable resources for climate-resilient water management, and is publicly available at https://doi.org/10.5281/zenodo.17950907 (Raut and Ganguli, 2025b).

DOI

https://doi.org/10.31223/X5WV2V

Subjects

Engineering

Keywords

Drought, Data, variable threshold, streamflow

Dates

Published: 2026-06-13 15:22

Last Updated: 2026-06-13 15:22

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
We declare no conflict of interests.

Data Availability:
The GSDD is available publicly on Zenodo under https://doi.org/10.5281/zenodo.17950907, (Raut and Ganguli, 2025b). Code to obtain the streamflow drought using daily variable threshold can be downloaded from: https://doi.org/10.5281/zenodo.18021979, (Raut and Ganguli, 2025a). The repository also includes the code used for generating the figures presented in this data descriptor. The daily streamflow dataset used in this study are available in various public domains: (1) Global Runoff Data Centre (GRDC; https://grdc.bafg.de/data/data_portal/) (2) the United States Geological Survey (USGS; https://api.waterdata.usgs.gov/ogcapi/v0/collections/daily/items) (3) Water Survey of Canada Hydrometric Data (HYDAT; https://wateroffice.ec.gc.ca/mainmenu/historical_data_index_e.html), (4) India-Water Resource Information System (WRIS; https://indiawris.gov.in/wris/#/). The catchment regulation data are obtained from 1) Global Streamflow and Metadata Archive (GSIM I; https://doi.pangaea.de/10.1594/PANGAEA.887477) and (2) Global Reservoir and Dam Database (GRanD; https://www.globaldamwatch.org/grand).

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