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SVS: SWOT Validation Set for Global River Discharge Evaluation
Jul 2, 2026
Saemian, Peyman; Tourian, Mohammad J., 2026, "SVS: SWOT Validation Set for Global River Discharge Evaluation", https://doi.org/10.18419/DARUS-5843, DaRUS, V3
The SWOT Validation Set (SVS) is a global gauge-based dataset created for validating river discharge estimates derived from the SWOT mission. It provides discharge time series, gauge metadata, information on the matching of gauges to SWORD river reaches, and auxiliary attributes needed for systematic comparison between satellite-based and in situ d...
SVS_v1_1_2.nc
Jul 2, 2026 - SVS: SWOT Validation Set for Global River Discharge Evaluation
Network Common Data Form - 71.4 MB - MD5: 7fc4bd4c3cdfeeac6dec0431ce586976
SVS v1.1.2 introduces several updates to the SWOT Validation Set. This release adds the matched SWORD v17c reach ID for each gauge, updates the discharge time series, and includes a new discharge-quality flag field, QFlag. The QFlag variable uses three categories: 0 for preliminary data, 1 for validated data, and 2 where no quality flag information...
README.md
Apr 2, 2026 - SVS: SWOT Validation Set for Global River Discharge Evaluation
Markdown Text - 2.8 KB - MD5: e4b01922a4aa0b18b065832c74dcba77
SVS_v1_0_0.nc
Apr 2, 2026 - SVS: SWOT Validation Set for Global River Discharge Evaluation
Network Common Data Form - 30.8 MB - MD5: d36d62035a2ea34f5a086b31bfa5c507
SVS_v1_0_1.nc
Apr 2, 2026 - SVS: SWOT Validation Set for Global River Discharge Evaluation
Network Common Data Form - 30.9 MB - MD5: 8363af38a46a654a0d55887911a0e24e
Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
Aug 15, 2025
Saemian, Peyman; Tourian, Mohammad J.; Douch, Karim; Foster, James; Gou, Junyang; Wiese, David; AghaKouchak, Amir; Sneeuw, Nico, 2025, "Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980", https://doi.org/10.18419/DARUS-5233, DaRUS, V1
The ML-TWiX dataset provides a globally gridded reconstruction of Total Water Storage Anomalies (TWSA) from January 1980 to December 2012. This dataset is designed to extend the GRACE satellite observations backward in time, supporting hydrological and climate-related studies that require long-term water storage information. The reconstruction was...
ML_TWiX_ensemble_uncertainty_v1_0.nc
Aug 15, 2025 - Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
Network Common Data Form - 74.7 MB - MD5: 17e8042252e893344111f6e96c86a94c
ML_TWiX_ensemble_v1_0.nc
Aug 15, 2025 - Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
Network Common Data Form - 79.0 MB - MD5: 36d5ac9e6514fe29e5c7814a9ed9243b
readme.txt
Aug 15, 2025 - Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
Plain Text - 3.2 KB - MD5: eb4bf339889091306e00f48370bdadd8
read_NetCDFs_MATLAB.m
Aug 15, 2025 - Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
Plain Text - 2.5 KB - MD5: 3998cbd2c2f9cde026e0609326f623ba
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