1 to 10 of 96 Results
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. |
Jan 31, 2024 -
Ship-based GNSS Tsunami Detection Pilot Network
Plain Text - 1.8 KB -
MD5: e93d9022284750c4767bd21dee351906
Data Set Description |
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 approa... |
May 23, 2023
Tourian, Mohammad J., 2023, "Data for: Current availability and distribution of Congo basin's freshwater resources", https://doi.org/10.18419/darus-3377, DaRUS, V2
The Congo Basin is of global significance for biodiversity and the water and carbon cycles. However, its freshwater availability remains highly unknown. Here, we leverage two decades of satellite and in situ observations to develop a new method that characterizes the relationship... |
May 14, 2021
Yi, Shuang; Sneeuw, Nico, 2021, "Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis", https://doi.org/10.18419/darus-807, DaRUS, V1
Dozens of missing epochs in the monthly gravity product of the satellite mission Gravity Recovery and Climate Experiment (GRACE) and its follow-on (GRACE-FO) mission greatly inhibit the complete analysis and full utilization of the data. Despite previous attempts to handle this p... |
Plain Text - 12.2 KB -
MD5: 1099db58544de81f5d318cbc26df42d8
River Discharge in mm/month. The data is structured in column format with the first column being year, second column month and then third column the Congo basin and from fourth column on Congo sub-basins as indicated in the header. |
Plain Text - 12.3 KB -
MD5: 1e621f991dcc5e1471d7360f5fffbd81
Drainable Water Storage Anomaly in mm
The data is structured in column format with the first column being year, second column month and then third column the Congo basin and from fourth column on Congo sub-basins as indicated in the header. |
May 14, 2021 -
Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis
MATLAB Data - 2.1 KB -
MD5: ce74831a81ffa18615d3e2d54fe2422c
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May 14, 2021 -
Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis
MATLAB Source Code - 394 B -
MD5: 816a9bccdaf7d5f63fb91745f2682539
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May 14, 2021 -
Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis
MATLAB Source Code - 3.3 KB -
MD5: 67d3f2b43d2081d044c4d466a10f94f5
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