Rainfall prediction for sustainable economic growth
Agriculture is the backbone of Zimbabwe’s economy with the majority of Zimbabweans being rural people who derive their livelihood from agriculture and other agro-based economic activities. Zimbabwe’s agriculture depends on the erratic rainfall which threatens food, water and energy access, as well a...
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doaj-082a92c09122444799911ba40f0ab96c2020-11-25T00:19:33ZengLLC "CPC "Business Perspectives"Environmental Economics1998-60411998-605X2016-12-017412012910.21511/ee.07(4-1).2016.048050Rainfall prediction for sustainable economic growthRetius Chifurira0Delson Chikobvu1Dorah Dubihlela2School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban (South Africa)Department of Mathematical Statistics and Actuarial Science, University of the Free State, South AfricaUnit of Applied Economics and Real Estate, Cape Peninsula University of Technology (South Africa)Agriculture is the backbone of Zimbabwe’s economy with the majority of Zimbabweans being rural people who derive their livelihood from agriculture and other agro-based economic activities. Zimbabwe’s agriculture depends on the erratic rainfall which threatens food, water and energy access, as well as vital livelihood systems which could severely undermine efforts to drive sustainable economic growth. For Zimbabwe, delivering a sustainable economic growth is intrinsically linked to improved climate modelling. Climate research plays a pivotal role in building Zimbabwe’s resilience to climate change and keeping the country on track, as it charts its path towards sustainable economic growth. This paper presents a simple tool to predict summer rainfall using standardized Darwin sea level pressure (SDSLP) anomalies and southern oscillation index (SOI) that are used as part of an early drought warning system. Results show that SDSLP anomalies and SOI for the month of April of the same year, i.e., seven months before onset of summer rainfall (December to February total rainfall) are a simple indicator of amount of summer rainfall in Zimbabwe. The low root mean square error (RMSE) and root mean absolute error (RMAE) values of the proposed model, make SDSLP anomalies for April and SOI for the same month an additional input candidates for regional rainfall prediction schemes. The results of the proposed model will benefit in the prediction of oncoming summer rainfall and will influence policy making in agriculture, environment planning, food redistribution and drought prediction for sustainable economic development. Keywords: sustainable economic growth, standardized Darwin sea level pressure anomalies, southern oscillation index, summer rainfall prediction, Zimbabwe. JEL Classification: Q16, Q25, Q54, Q55, Q58https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/8050/ee_2016_04cont_Chifurira.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Retius Chifurira Delson Chikobvu Dorah Dubihlela |
spellingShingle |
Retius Chifurira Delson Chikobvu Dorah Dubihlela Rainfall prediction for sustainable economic growth Environmental Economics |
author_facet |
Retius Chifurira Delson Chikobvu Dorah Dubihlela |
author_sort |
Retius Chifurira |
title |
Rainfall prediction for sustainable economic growth |
title_short |
Rainfall prediction for sustainable economic growth |
title_full |
Rainfall prediction for sustainable economic growth |
title_fullStr |
Rainfall prediction for sustainable economic growth |
title_full_unstemmed |
Rainfall prediction for sustainable economic growth |
title_sort |
rainfall prediction for sustainable economic growth |
publisher |
LLC "CPC "Business Perspectives" |
series |
Environmental Economics |
issn |
1998-6041 1998-605X |
publishDate |
2016-12-01 |
description |
Agriculture is the backbone of Zimbabwe’s economy with the majority of Zimbabweans being rural people who derive their livelihood from agriculture and other agro-based economic activities. Zimbabwe’s agriculture depends on the erratic rainfall which threatens food, water and energy access, as well as vital livelihood systems which could severely undermine efforts to drive sustainable economic growth. For Zimbabwe, delivering a sustainable economic growth is intrinsically linked to improved climate modelling. Climate research plays a pivotal role in building Zimbabwe’s resilience to climate change and keeping the country on track, as it charts its path towards sustainable economic growth. This paper presents a simple tool to predict summer rainfall using standardized Darwin sea level pressure (SDSLP) anomalies and southern oscillation index (SOI) that are used as part of an early drought warning system. Results show that SDSLP anomalies and SOI for the month of April of the same year, i.e., seven months before onset of summer rainfall (December to February total rainfall) are a simple indicator of amount of summer rainfall in Zimbabwe. The low root mean square error (RMSE) and root mean absolute error (RMAE) values of the proposed model, make SDSLP anomalies for April and SOI for the same month an additional input candidates for regional rainfall prediction schemes. The results of the proposed model will benefit in the prediction of oncoming summer rainfall and will influence policy making in agriculture, environment planning, food redistribution and drought prediction for sustainable economic development.
Keywords: sustainable economic growth, standardized Darwin sea level pressure anomalies, southern oscillation index, summer rainfall prediction, Zimbabwe. JEL Classification: Q16, Q25, Q54, Q55, Q58 |
url |
https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/8050/ee_2016_04cont_Chifurira.pdf |
work_keys_str_mv |
AT retiuschifurira rainfallpredictionforsustainableeconomicgrowth AT delsonchikobvu rainfallpredictionforsustainableeconomicgrowth AT dorahdubihlela rainfallpredictionforsustainableeconomicgrowth |
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