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Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation process
Rainfall data is necessary at resolutions that allow modelling of environmental change and its impact on socio-economic well-being. This is particularly so with agricultural output determination in much of Africa with Ghana not exemption, where data is required for intra and inter-seasonal assessmen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10139971/ https://www.ncbi.nlm.nih.gov/pubmed/37122919 http://dx.doi.org/10.1016/j.dib.2023.109115 |
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author | Ampofo, Steve Annor, Thompson Aryee, Jeffrey N.A. Agyekum, Jacob Amekudzi, Leonard K. |
author_facet | Ampofo, Steve Annor, Thompson Aryee, Jeffrey N.A. Agyekum, Jacob Amekudzi, Leonard K. |
author_sort | Ampofo, Steve |
collection | PubMed |
description | Rainfall data is necessary at resolutions that allow modelling of environmental change and its impact on socio-economic well-being. This is particularly so with agricultural output determination in much of Africa with Ghana not exemption, where data is required for intra and inter-seasonal assessment of the impact of rainfall on yield. However, the sparse and limited distribution data from gauge measurements, coupled with periods of no record of daily rainfall data, limit their application for any meaningful endeavour. This data cures such deficiency by generating a high resolution (0.25° × 0.25°) gridded daily rainfall using the Minimum Surface Curvature (MSC) interpolation for 190 stations distributed across all agro-climatic zones of Ghana. Validation is done using 19 Ghana Meteorological Agency (GMet) gauge stations (10%) by comparing the; ratios, correlations and Root Mean Square Error (RMSE) of the observed to the gridded for the seasons. |
format | Online Article Text |
id | pubmed-10139971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101399712023-04-29 Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation process Ampofo, Steve Annor, Thompson Aryee, Jeffrey N.A. Agyekum, Jacob Amekudzi, Leonard K. Data Brief Data Article Rainfall data is necessary at resolutions that allow modelling of environmental change and its impact on socio-economic well-being. This is particularly so with agricultural output determination in much of Africa with Ghana not exemption, where data is required for intra and inter-seasonal assessment of the impact of rainfall on yield. However, the sparse and limited distribution data from gauge measurements, coupled with periods of no record of daily rainfall data, limit their application for any meaningful endeavour. This data cures such deficiency by generating a high resolution (0.25° × 0.25°) gridded daily rainfall using the Minimum Surface Curvature (MSC) interpolation for 190 stations distributed across all agro-climatic zones of Ghana. Validation is done using 19 Ghana Meteorological Agency (GMet) gauge stations (10%) by comparing the; ratios, correlations and Root Mean Square Error (RMSE) of the observed to the gridded for the seasons. Elsevier 2023-04-05 /pmc/articles/PMC10139971/ /pubmed/37122919 http://dx.doi.org/10.1016/j.dib.2023.109115 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Ampofo, Steve Annor, Thompson Aryee, Jeffrey N.A. Agyekum, Jacob Amekudzi, Leonard K. Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation process |
title | Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation process |
title_full | Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation process |
title_fullStr | Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation process |
title_full_unstemmed | Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation process |
title_short | Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation process |
title_sort | gridded daily rainfall data for ghana for the period 1960 - 2015: approach and validation process |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10139971/ https://www.ncbi.nlm.nih.gov/pubmed/37122919 http://dx.doi.org/10.1016/j.dib.2023.109115 |
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