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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923002342 |
| _version_ | 1797798106163576832 |
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| author | Steve Ampofo Thompson Annor Jeffrey N.A. Aryee Jacob Agyekum Leonard K. Amekudzi |
| author_facet | Steve Ampofo Thompson Annor Jeffrey N.A. Aryee Jacob Agyekum Leonard K. Amekudzi |
| author_sort | Steve Ampofo |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-13T03:58:31Z |
| format | Article |
| id | doaj.art-e618a26e049d43a88dfe37f33c4a74a0 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-13T03:58:31Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-e618a26e049d43a88dfe37f33c4a74a02023-06-22T05:03:38ZengElsevierData in Brief2352-34092023-06-0148109115Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation processSteve Ampofo0Thompson Annor1Jeffrey N.A. Aryee2Jacob Agyekum3Leonard K. Amekudzi4Department of Meteorology and Climate Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Department of Environmental Science, School of Environment and Life Sciences, C. K. Tedam University of Technology and Applied Science (UTAS), Navrongo, Ghana; Corresponding author.Department of Meteorology and Climate Science, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaDepartment of Meteorology and Climate Science, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaDepartment of Meteorology and Climate Science, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaDepartment of Meteorology and Climate Science, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaRainfall 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.http://www.sciencedirect.com/science/article/pii/S2352340923002342Daily rainfallInterpolationMinimum surface curvatureHigh resolutionPoint-pixelGridding |
| spellingShingle | Steve Ampofo Thompson Annor Jeffrey N.A. Aryee Jacob Agyekum Leonard K. Amekudzi Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation process Data in Brief Daily rainfall Interpolation Minimum surface curvature High resolution Point-pixel Gridding |
| 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 | Daily rainfall Interpolation Minimum surface curvature High resolution Point-pixel Gridding |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923002342 |
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