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Developing a high-resolution gridded rainfall product for Bangladesh during 1901–2018
A high-resolution (1 km × 1 km) monthly gridded rainfall data product during 1901–2018, named Bangladesh Gridded Rainfall (BDGR), was developed in this study. In-situ rainfall observations retrieved from a number of sources, including national organizations and undigitized data from the colonial era...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349194/ https://www.ncbi.nlm.nih.gov/pubmed/35922427 http://dx.doi.org/10.1038/s41597-022-01568-z |
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author | Dewan, Ashraf Shahid, Shamsuddin Bhuian, Md. Hanif Hossain, Shaikh M. Jobayed Nashwan, Mohamed Salem Chung, Eun-Sung Hassan, Quazi K. Asaduzzaman, Md |
author_facet | Dewan, Ashraf Shahid, Shamsuddin Bhuian, Md. Hanif Hossain, Shaikh M. Jobayed Nashwan, Mohamed Salem Chung, Eun-Sung Hassan, Quazi K. Asaduzzaman, Md |
author_sort | Dewan, Ashraf |
collection | PubMed |
description | A high-resolution (1 km × 1 km) monthly gridded rainfall data product during 1901–2018, named Bangladesh Gridded Rainfall (BDGR), was developed in this study. In-situ rainfall observations retrieved from a number of sources, including national organizations and undigitized data from the colonial era, were used. Leave-one-out cross-validation was used to assess product’s ability to capture spatial and temporal variability. The results revealed spatial variability of the percentage bias (PBIAS) in the range of −2 to 2%, normalized root mean square error (NRMSE) <20%, and correlation coefficient (R(2)) >0.88 at most of the locations. The temporal variability in mean PBIAS for 1901–2018 was in the range of −4.5 to 4.3%, NRMSE between 9 and 19% and R(2) in the range of 0.87 to 0.95. The BDGR also showed its capability in replicating temporal patterns and trends of observed rainfall with greater accuracy. The product can provide reliable insights regarding various hydrometeorological issues, including historical floods, droughts, and groundwater recharge for a well-recognized global climate hotspot, Bangladesh. |
format | Online Article Text |
id | pubmed-9349194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93491942022-08-05 Developing a high-resolution gridded rainfall product for Bangladesh during 1901–2018 Dewan, Ashraf Shahid, Shamsuddin Bhuian, Md. Hanif Hossain, Shaikh M. Jobayed Nashwan, Mohamed Salem Chung, Eun-Sung Hassan, Quazi K. Asaduzzaman, Md Sci Data Data Descriptor A high-resolution (1 km × 1 km) monthly gridded rainfall data product during 1901–2018, named Bangladesh Gridded Rainfall (BDGR), was developed in this study. In-situ rainfall observations retrieved from a number of sources, including national organizations and undigitized data from the colonial era, were used. Leave-one-out cross-validation was used to assess product’s ability to capture spatial and temporal variability. The results revealed spatial variability of the percentage bias (PBIAS) in the range of −2 to 2%, normalized root mean square error (NRMSE) <20%, and correlation coefficient (R(2)) >0.88 at most of the locations. The temporal variability in mean PBIAS for 1901–2018 was in the range of −4.5 to 4.3%, NRMSE between 9 and 19% and R(2) in the range of 0.87 to 0.95. The BDGR also showed its capability in replicating temporal patterns and trends of observed rainfall with greater accuracy. The product can provide reliable insights regarding various hydrometeorological issues, including historical floods, droughts, and groundwater recharge for a well-recognized global climate hotspot, Bangladesh. Nature Publishing Group UK 2022-08-03 /pmc/articles/PMC9349194/ /pubmed/35922427 http://dx.doi.org/10.1038/s41597-022-01568-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Dewan, Ashraf Shahid, Shamsuddin Bhuian, Md. Hanif Hossain, Shaikh M. Jobayed Nashwan, Mohamed Salem Chung, Eun-Sung Hassan, Quazi K. Asaduzzaman, Md Developing a high-resolution gridded rainfall product for Bangladesh during 1901–2018 |
title | Developing a high-resolution gridded rainfall product for Bangladesh during 1901–2018 |
title_full | Developing a high-resolution gridded rainfall product for Bangladesh during 1901–2018 |
title_fullStr | Developing a high-resolution gridded rainfall product for Bangladesh during 1901–2018 |
title_full_unstemmed | Developing a high-resolution gridded rainfall product for Bangladesh during 1901–2018 |
title_short | Developing a high-resolution gridded rainfall product for Bangladesh during 1901–2018 |
title_sort | developing a high-resolution gridded rainfall product for bangladesh during 1901–2018 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349194/ https://www.ncbi.nlm.nih.gov/pubmed/35922427 http://dx.doi.org/10.1038/s41597-022-01568-z |
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