61 to 70 of 121 Results
Jan 31, 2024 -
Ship-based GNSS Tsunami Detection Pilot Network
Gzip Archive - 169.7 MB -
MD5: 292210f53105b2fc8f0deb8607c45bc5
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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 Remote Sensing-based Extension for the GRDC (RSEG) dataset that can in... |
Plain Text - 13.0 KB -
MD5: a79ec106f0ed687866d7f9480f05d973
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Plain Text - 10.9 KB -
MD5: f0dd5241f55a167bc2f8d45aa5b661a6
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Network Common Data Form - 202.5 MB -
MD5: 30762b58d9e50900e0cca32dcfc6b986
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Dec 12, 2023
Saemian, Peyman; Tourian, Mohammad J.; Elmi, Omid; Sneeuw, Nico; AghaKouchak, Amir, 2023, "Data for: A probabilistic approach to characterizing drought using satellite gravimetry", https://doi.org/10.18419/DARUS-3832, DaRUS, V1
In the recent past, the Gravity Recovery and Climate Experiment (GRACE) satellite mission and its successor GRACE Follow-On (GRACE-FO), have become invaluable tools for characterizing drought through measurements of Total Water Storage Anomaly (TWSA). However, the existing approaches have often overlooked the uncertainties in TWSA that stem from GR... |
Dec 12, 2023 -
Data for: A probabilistic approach to characterizing drought using satellite gravimetry
MATLAB Data - 2.7 MB -
MD5: cc7b406541bae1a2ef9792094e4ffe9e
Information on basin boundaries, along with their respective IDs and other pertinent attributes, is provided. |
Dec 12, 2023 -
Data for: A probabilistic approach to characterizing drought using satellite gravimetry
Network Common Data Form - 2.5 MB -
MD5: c60d197d269e846703517d1a96b9485e
This NetCDF file contains time series data of hindcasted Total Water Storage Anomaly (TWSA_H) and its associated uncertainty from 1980 to the end of 2012 for major river basins worldwide. TWSA_H is derived through a combination of models, employing the Multivariate Linear Regression (MLR) approach. The Nash–Sutcliffe Efficiency (NSE) between GRACE... |
Adobe PDF - 760.8 KB -
MD5: a78fb43b746b7e3a6f17d6d22a60f315
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Adobe PDF - 161.5 KB -
MD5: 40c38d8185356a71a0c7555715cac121
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