Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-2063-2025
https://doi.org/10.5194/essd-17-2063-2025
Data description paper
 | 
16 May 2025
Data description paper |  | 16 May 2025

Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)

Peyman Saemian, Omid Elmi, Molly Stroud, Ryan Riggs, Benjamin M. Kitambo, Fabrice Papa, George H. Allen, and Mohammad J. Tourian

Data sets

Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM) Peyman Saemian et al. https://doi.org/10.18419/darus-4475

R-ArcticNET, University of New Hampshire, R-ArcticNET Version 4.0 ArcticNET https://www.r-arcticnet.sr.unh.edu/v4.0/AllData/index.html

Australian Hydrological Geospatial Fabric – Water Data Online Australian Bureau of Meteorology https://www.bom.gov.au/waterdata/

CR2 Explorer Chile Center for Climate and Resilience Research https://explorador.cr2.cl/

HYDAT – Environment and Climate Change Canada Canada National Water Data Archive https://www.canada.ca/en/environment-climate-change/services/water-overview/quantity/monitoring/survey/data-products-services/national-archive-hydat.html

HidroWeb – Séries Históricas Brazil National Water Agency https://www.snirh.gov.br/hidroweb/serieshistoricas

The Global Runoff Data Centre GRDC https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser

2022 RID River Discharge Data Thailand Royal Irrigation Department http://hydro.iis.u-tokyo.ac.jp/GAME-T/GAIN-T/routine/rid-river/disc_d.html

Current Water Data for the Nation U.S. Geological Survey (USGS) https://waterdata.usgs.gov/nwis/rt

Hydroweb.Next LEGOS/CTOH and CNES https://hydroweb.next.theia-land.fr/

Database for Hydrological Time Series of Inland Waters (DAHITI) DGFI-TUM (Deutsches Geodätisches Forschungsinstitut der Technischen Universität München) https://dahiti.dgfi.tum.de/en/products/water-level-altimetry/

HydroSat Institute of Geodesy, University of Stuttgart https://hydrosat.gis.uni-stuttgart.de/php/index.php

Pre-SWOT Hydrology GRRATS Level 2 Virtual Station Heights Version 2 NASA JPL (Jet Propulsion Laboratory) PO.DAAC https://doi.org/10.5067/PSGRA-SA2V2

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Short summary
Our study addresses the need for better river discharge data, crucial for water management, by expanding global gauge networks with satellite data. We used satellite altimetry to estimate river discharge for over 8700 stations worldwide, filling gaps in existing records. Our data set, SAEM, supports a better understanding of water systems, helping to manage water resources more effectively, especially in regions with limited monitoring infrastructure.
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