Philippine National Hydrological Model Dataset
Dataset title | Philippine National Hydrological Model Dataset |
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Dataset creators | British Geological Survey |
Dataset theme | Geoscientific Information |
Dataset abstract | The Philippine National Hydrological Model Dataset provides model output from the VIC-AMBHAS hydrological model in the Philippines from 1979-2018. The model simulates evapotranspiration, runoff, infiltration, soil moisture, river baseflow and groundwater levels. Aggregated variables at a monthly time interval are provided in this dataset in NetCDF format or aggregated to provincial level in csv format. The provincial levels are based on the first level subdivisions from GADM (https://gadm.org/maps/PHL_1.html). A user guide and description of the data set can be found here: https://nora.nerc.ac.uk/id/eprint/537916/ and https://nora.nerc.ac.uk/id/eprint/536645/ |
Dataset content dates | 1979-2018 |
Dataset spatial coverage | Philippines |
Dataset supply format | csv and netcdf |
Dataset language | English-United Kingdom |
Dataset discovery metadata record | Discovery Link to the dataset's BGS Discovery Metadata record |
Dataset publisher | NERC EDS National Geoscience Data Centre |
Dataset publication date | 20/08/2024 |
Dataset digital object identifier (DOI) | 10.5285/9a8dffe7-5bf7-496c-9d0a-99dea86c631c |
Dataset citation text | British Geological Survey. (2024). Philippine National Hydrological Model Dataset. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/9a8dffe7-5bf7-496c-9d0a-99dea86c631c |
Constraints and terms of use | This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]". |
Access the dataset | https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item185962 |
Further information | A user guide and description of the data set can be found here: https://nora.nerc.ac.uk/id/eprint/537916/ and https://nora.nerc.ac.uk/id/eprint/536645/ |