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31 to 40 of 96 Results
mv_mahimahi_2017.dat.gz
Jan 31, 2024 - Ship-based GNSS Tsunami Detection Pilot Network
Gzip Archive - 145.7 MB - MD5: 7fc17b1740aa521369a28f17c6606391
mvmanoa_2015.dat.gz
Jan 31, 2024 - Ship-based GNSS Tsunami Detection Pilot Network
Gzip Archive - 122.3 MB - MD5: b3681f6e006c79ba5db8f739ebb05e36
mvmanoa_2016.dat.gz
Jan 31, 2024 - Ship-based GNSS Tsunami Detection Pilot Network
Gzip Archive - 588.4 MB - MD5: 27821f4a255992c9db81082db84241b0
mvmanoa_2017.dat.gz
Jan 31, 2024 - Ship-based GNSS Tsunami Detection Pilot Network
Gzip Archive - 101.5 MB - MD5: 8f5f3dc8e0ba75edc70c3d67e9be1794
rvronbrown_2015.dat.gz
Jan 31, 2024 - Ship-based GNSS Tsunami Detection Pilot Network
Gzip Archive - 103.4 MB - MD5: cd5b3a17b19ff4a14a9f2b7211082256
rvronbrown_2016.dat.gz
Jan 31, 2024 - Ship-based GNSS Tsunami Detection Pilot Network
Gzip Archive - 169.7 MB - MD5: 292210f53105b2fc8f0deb8607c45bc5
Remote Sensing-Based Extension of GRDC River Discharge Time Series
Remote Sensing-Based Extension of GRDC River Discharge Time Series
Jan 18, 2024
Elmi, Omid; Tourian, Mohammad J.; Saemian, Peyman; Sneeuw, Nico, 2023, "Remote Sensing-Based Extension of GRDC River Discharge Time Series", https://doi.org/10.18419/darus-3558, DaRUS, V4
The quantification of river discharge is essential for understanding global freshwater dynamics. However, the Global Runoff Data Center (GRDC) dataset has faced a decline in the number of active gauges since the 1980s, leaving only 14% of gauges active as of 2020. We develop the...
QuantileLookUpFunctionRivDischWidth.m
Jan 18, 2024 - Remote Sensing-Based Extension of GRDC River Discharge Time Series
Plain Text - 13.0 KB - MD5: a79ec106f0ed687866d7f9480f05d973
QuantileLookUpFunctionRivDischWidthSimData.m
Jan 18, 2024 - Remote Sensing-Based Extension of GRDC River Discharge Time Series
Plain Text - 10.9 KB - MD5: f0dd5241f55a167bc2f8d45aa5b661a6
RSEG_V01.nc
Jan 18, 2024 - Remote Sensing-Based Extension of GRDC River Discharge Time Series
Network Common Data Form - 202.5 MB - MD5: 30762b58d9e50900e0cca32dcfc6b986
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