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Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications
Large-scale distributed watershed models are data-intensive, and preparing them consumes most of the research resources. We prepared high-resolution global databases of soil, landuse, actual evapotranspiration (AET), and historical and future weather databases that could serve as standard inputs in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834600/ https://www.ncbi.nlm.nih.gov/pubmed/31695048 http://dx.doi.org/10.1038/s41597-019-0282-4 |
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author | Abbaspour, K. C. Vaghefi, S. Ashraf Yang, H. Srinivasan, R. |
author_facet | Abbaspour, K. C. Vaghefi, S. Ashraf Yang, H. Srinivasan, R. |
author_sort | Abbaspour, K. C. |
collection | PubMed |
description | Large-scale distributed watershed models are data-intensive, and preparing them consumes most of the research resources. We prepared high-resolution global databases of soil, landuse, actual evapotranspiration (AET), and historical and future weather databases that could serve as standard inputs in Soil and Water Assessment Tool (SWAT) models. The data include two global soil maps and their associated databases calculated with a large number of pedotransfer functions, two landuse maps and their correspondence with SWAT’s database, historical and future daily temperature and precipitation data from five IPCC models with four scenarios; and finally, global monthly AET data. Weather data are 0.5° global grids text-formatted for direct use in SWAT models. The AET data is formatted for use in SWAT-CUP (SWAT Calibration Uncertainty Procedures) for calibration of SWAT models. The use of these global databases for SWAT models can speed up the model building by 75–80% and are extremely valuable in areas with limited or no physical data. Furthermore, they can facilitate the comparison of model results in different parts of the world. |
format | Online Article Text |
id | pubmed-6834600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68346002019-11-14 Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications Abbaspour, K. C. Vaghefi, S. Ashraf Yang, H. Srinivasan, R. Sci Data Data Descriptor Large-scale distributed watershed models are data-intensive, and preparing them consumes most of the research resources. We prepared high-resolution global databases of soil, landuse, actual evapotranspiration (AET), and historical and future weather databases that could serve as standard inputs in Soil and Water Assessment Tool (SWAT) models. The data include two global soil maps and their associated databases calculated with a large number of pedotransfer functions, two landuse maps and their correspondence with SWAT’s database, historical and future daily temperature and precipitation data from five IPCC models with four scenarios; and finally, global monthly AET data. Weather data are 0.5° global grids text-formatted for direct use in SWAT models. The AET data is formatted for use in SWAT-CUP (SWAT Calibration Uncertainty Procedures) for calibration of SWAT models. The use of these global databases for SWAT models can speed up the model building by 75–80% and are extremely valuable in areas with limited or no physical data. Furthermore, they can facilitate the comparison of model results in different parts of the world. Nature Publishing Group UK 2019-11-06 /pmc/articles/PMC6834600/ /pubmed/31695048 http://dx.doi.org/10.1038/s41597-019-0282-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Abbaspour, K. C. Vaghefi, S. Ashraf Yang, H. Srinivasan, R. Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications |
title | Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications |
title_full | Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications |
title_fullStr | Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications |
title_full_unstemmed | Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications |
title_short | Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications |
title_sort | global soil, landuse, evapotranspiration, historical and future weather databases for swat applications |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834600/ https://www.ncbi.nlm.nih.gov/pubmed/31695048 http://dx.doi.org/10.1038/s41597-019-0282-4 |
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