A GIS-Based Procedure for Downscaling Climate Data for West Africa

Blackwell Publishing Ltd,P.614-631

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Hoofdauteurs: Akinyemi, Felicia, Adejuwon, James Oladipo
Formaat: Tijdschrift
Taal:Engels
Gepubliceerd in: Blackwell Publishing Ltd 2023
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Online toegang:https://ir.oauife.edu.ng/123456789/5490
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author Akinyemi, Felicia
Adejuwon, James Oladipo
author_facet Akinyemi, Felicia
Adejuwon, James Oladipo
author_sort Akinyemi, Felicia
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description Blackwell Publishing Ltd,P.614-631
format Journal
id oai:ir.oauife.edu.ng:123456789-5490
institution My University
language English
publishDate 2023
publisher Blackwell Publishing Ltd
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spelling oai:ir.oauife.edu.ng:123456789-54902023-05-13T18:08:46Z A GIS-Based Procedure for Downscaling Climate Data for West Africa Akinyemi, Felicia Adejuwon, James Oladipo General Circulation Models meteorological stations climate variability on crop yield Climate Data for West Africa accuracy of estimated rainfall distribution Blackwell Publishing Ltd,P.614-631 Local studies aimed at assessing the impact of climate variability on crop yield at the individual farm level require the use of weather and climate data. These are often collected at points known as meteorological stations. In West Africa, meteorological stations are sparsely distributed and as a result, are often unable to satisfy the data requirements for such studies. One major problem arising from this is how to estimate values for locations where primary data is not available. General Circulation Models (GCMs) have recently been deployed for weather forecasting and climate change projections but the resolution of their outputs is low requiring downscaling. This article describes a GIS-based procedure for downscaling GCMs’ outputs for use in studies assessing the impacts of climate variability on crop yield at the farm level. The procedure is implemented with the Hadley Centre's GCM (HadCM2) data, although any other GCM can be used. Results in this study show that the model works best when representing drier months as compared to wet months in all three domains tested. For example, it estimated the rainfall for January (the driest month) better than that of July which is the peak of the rainy season in West Africa. There is also a north-south pattern influencing the accuracy of estimated rainfall distribution, with stations in the south better represented than those in the north. For the greater part of West Africa where similar climatic conditions persist as in Nigeria, this procedure can be considered suitable for interpolation and downscaling 2023-05-13T17:48:23Z 2023-05-13T17:48:23Z 2008-10 Journal DOI: 10.1111/j.1467-9671.2008.01120.x https://ir.oauife.edu.ng/123456789/5490 en application/pdf Blackwell Publishing Ltd
spellingShingle General Circulation Models
meteorological stations
climate variability on crop yield
Climate Data for West Africa
accuracy of estimated rainfall distribution
Akinyemi, Felicia
Adejuwon, James Oladipo
A GIS-Based Procedure for Downscaling Climate Data for West Africa
title A GIS-Based Procedure for Downscaling Climate Data for West Africa
title_full A GIS-Based Procedure for Downscaling Climate Data for West Africa
title_fullStr A GIS-Based Procedure for Downscaling Climate Data for West Africa
title_full_unstemmed A GIS-Based Procedure for Downscaling Climate Data for West Africa
title_short A GIS-Based Procedure for Downscaling Climate Data for West Africa
title_sort gis based procedure for downscaling climate data for west africa
topic General Circulation Models
meteorological stations
climate variability on crop yield
Climate Data for West Africa
accuracy of estimated rainfall distribution
url https://ir.oauife.edu.ng/123456789/5490
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