Institute of Geodesy

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1 to 10 of 113 Results

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
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
read_NetCDFs_Python.py Aug 15, 2025 - Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980 Python Source Code - 2.8 KB - MD5: 5054ba17e6830903599b298badbfe562
SAEM_Discharge_V01_1.nc Feb 14, 2025 - Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM) Network Common Data Form - 22.7 MB - MD5: cade7f6ed55aeda48268db94a19a4dc7

SVS_v1_1_2.nc

Jul 2, 2026 - SVS: SWOT Validation Set for Global River Discharge Evaluation

Network Common Data Form - 71.4 MB -

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 -

SVS_v1_0_0.nc

Apr 2, 2026 - SVS: SWOT Validation Set for Global River Discharge Evaluation

Network Common Data Form - 30.8 MB -

SVS_v1_0_1.nc

Apr 2, 2026 - SVS: SWOT Validation Set for Global River Discharge Evaluation

Network Common Data Form - 30.9 MB -

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 -

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 -

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 -

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 -

read_NetCDFs_Python.py

Aug 15, 2025 - Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980

Python Source Code - 2.8 KB -

SAEM_Discharge_V01_1.nc

Feb 14, 2025 - Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)

Network Common Data Form - 22.7 MB -

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