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11 to 20 of 144 Results
Excel.tar.gz
Dec 17, 2024 - Bias-corrected and statistically downscaled climate projections for four distinct areas: Ras Baalbeck in Lebanon, Abu Al-Matamir in Egypt, Wadi Al-Seer in Jordan, and Wadi Al-Faria’a in the West Bank of the Occupied Palestinian Territories (OPT).
Gzip Archive - 150.2 MB - MD5: d9f7dc6bf4b4a56c6456730bc7cf5e5c
Unverified discharge stations for Limpopo River Basin
Jul 12, 2024 - Limpopo River Basin
Hugo Retief, 2024, "Unverified discharge stations for Limpopo River Basin", https://doi.org/10.7910/DVN/NNMO4E, Harvard Dataverse, V2
Unverified discharge stations that have not been verified for accuracy or compliance.the data are gethered from AWARE platform fetching from DWS (Department of Water and Sanitation).
unverified_stations_DB.zip
Jul 12, 2024 - Unverified discharge stations for Limpopo River Basin
Shapefile as ZIP Archive - 11.0 KB - MD5: 8159dd22905e0d5c575c62109ac3506a
Unverified discharge stations that have not been verified for accuracy or compliance.the data are gethered from AWARE platform fetching from DWS (Department of Water and Sanitation)
Channel network of SWAT model for Limpopo River Basin
Jul 12, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Channel network of SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/WAVI18, Harvard Dataverse, V2
The development of a channel network is a crucial part of watershed delineation. It involves identifying the streams and rivers within a watershed based on terrain data. This process uses the Digital Elevation Model (DEM) to simulate the flow of water across the landscape, determining where streams are likely to form.
Channel_Network.rar
Jul 12, 2024 - Channel network of SWAT model for Limpopo River Basin
Compressed Archive - 364.1 KB - MD5: 2f8e9b149847c7e65c7483ef65b57a45
The development of a channel network is a crucial part of watershed delineation. It involves identifying the streams and rivers within a watershed based on terrain data. This process uses the Digital Elevation Model (DEM) to simulate the flow of water across the landscape, determining where streams are likely to form.
Historical limpopo groundlevel observed discharge data for the SWAT model validation for Limpopo River Basin
Jul 9, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Historical limpopo groundlevel observed discharge data for the SWAT model validation for Limpopo River Basin", https://doi.org/10.7910/DVN/6JYPEL, Harvard Dataverse, V1
The discharge data is collected from the Department of Water and Sanitation (DWS) of the Republic of South Africa. Majority of the stations are located in south africa and some stations available at botswana.The stations are located in the Limpopo and Olifants regions, comprising a total of 45 stations with daily readings. This dataset is raw and l...
discharge.zip
Jul 9, 2024 - Historical limpopo groundlevel observed discharge data for the SWAT model validation for Limpopo River Basin
ZIP Archive - 35.8 MB - MD5: 9821604dd01e4547baec74e900562177
Historical limpopo groundlevel observed rainfall data use for validation purposes for the SWAT model for Limpopo River Basin
Jul 9, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Historical limpopo groundlevel observed rainfall data use for validation purposes for the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/HYHAZR, Harvard Dataverse, V1
The rainfall data is collected from various ground-level data stations, including SASSCL, GSOD, Massingir Dam stations and some other reputable South African organizations.Majority of the stations are located in south africa rest of the data sets are available in mozambique,zimbabwe and botswana. Currently, the system holds records from 192 station...
rainfall.zip
Jul 9, 2024 - Historical limpopo groundlevel observed rainfall data use for validation purposes for the SWAT model for Limpopo River Basin
ZIP Archive - 67.4 MB - MD5: b3693ae4849881194a6dfe6fbb8b6242
Limpopo landuse from ESA for the SWAT model for Limpopo River Basin
Jun 29, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Limpopo landuse from ESA for the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/ADRSCP, Harvard Dataverse, V1
This comprehensive land use dataset provides a granular understanding of the Limpopo Basin's surface composition. It reveals the spatial distribution of various land cover types – natural vegetation, agricultural lands, urban areas, and protected ecosystems – offering a valuable foundation for informed decision-making. Stakeholders can leverage thi...
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