297 datasets found

Recognizing the value of transboundary water systems and the fact that many of them continue to be degraded and managed in fragmented ways, the Global Environment Facility Transboundary Water Assessment Programme (GEF TWAP) was developed. The Programme aims to provide a baseline assessment that identifies and evaluates changes in these water systems caused by human activities and natural processes, and the consequences such have on dependant human populations. The project is the first truly global comparative assessment for transboundary aquifers, lakes, rivers and large marine ecosystems, as well as a thematic evaluation of the open ocean, through institutional partnerships that hope to seed future global assessments. The project results are envisioned to assist the GEF and other international organizations in setting priorities for supporting the conservation of transboundary water systems. More information on TWAP including final reports can be found on www.geftwap.org

This portal gives access to the map based results from the Groundwater component of the Transboundary Waters Assessment Programme. The data shown in this portal have been made available by national experts from countries involved in the TWAP Groundwater project. It also includes the results from scenario analyses using the global WaterGAP model (University of Frankfurt, Germany) and a study on groundwater systems of small island developing states, also called SIDS (Simon Frasier University, Canada). More information on TWAP Groundwater, including reports on methodology and outcomes, can be found on www.twap.isarm.org

The dataset covers the Counties of Turkana and Marsabit in northern Kenya. It includes borehole records with some geological and water quality measurements. It is part of the project "HYDROGEOLOGICAL MAPPING OF TURKANA and MARSABIT AQUIFERS" that was carried out by Rural Focus and SWAS WATER SURVEYS. A significant portion of the data that was required for these datasets was collected from various organizations including Oxfam, the Catholic Diocese of Lodwar, JICA, and the WRA of Kenya. The dataset has undergone improvements in accuracy and consistency while being normalized to align with UNESCO's groundwater data collection template.

This dataset provides population data for Ethiopia, disaggregated by regional states. The data is available in vector format, allowing for spatial visualization. Cross-border settlements are represented separately in a standalone file titled "Crosses Boundary." The dataset includes total population figures and population density, adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).

The SWOT Level 2 River Single-Pass Vector Node Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the "calibration" or "fast-sampling" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the "science" phase of the mission, which is expected to continue through 2025.

Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format. Please note that this collection contains SWOT Version C science data products.

This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_2.0 It contains only river nodes.

The SWOT Level 2 River Single-Pass Vector Reach Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the "calibration" or "fast-sampling" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the "science" phase of the mission, which is expected to continue through 2025.

Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format. Please note that this collection contains SWOT Version C science data products.

This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_2.0 It contains only river reaches.

This dataset is part of the Somalia Water sources Information Management System (SWIMS). From the various sources listed in SWIMS boreholes and wells were selected. The dataset gives information about the positioning and in few cases about water level and yield but it is not clarified if the inspection date in the data is referring to the measurements.

Overview of existing and known boreholes in each County (Turkana, Marsabit, Isiolo, Garissa, Wajir), including information of qualitative and quantitative potential (yield and EC). Note that this is a merged database containing data from the RAPID and UNICEF Hydrogeological mapping of underground water using remote sensing and GIS projects Provider: Acacia Water, RAPID + UNICEF project