Seasonal Forecasting of African Rainfall: Prediction, Responses and Household Food Security
The main approaches, assumptions and methods used in seasonal forecasting are described in this paper. Examples of methods ranging from simple correlation to multi-annual, multivariate models of seasonal rainfall prediction are given for several regions in Africa along with an overview of operation...
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Veröffentlicht in: | The Geographical journal 1999-11, Vol.165 (3), p.255-274 |
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description | The main approaches, assumptions and methods used in seasonal forecasting are described in this paper. Examples of methods ranging from simple correlation to multi-annual, multivariate models of seasonal rainfall prediction are given for several regions in Africa along with an overview of operation forecasts for the Sahel, East Africa and Southern Africa. Recent developments in climate prediction suggest that seasonal rainfall forecasts for Africa are increasingly reliable and should be of widespread interest to resource managers and consumers. Climate forecasts may indeed revolutionize resource management in Africa. Yet, their utility depends on the linkages between geophysical, economic and social aspects of resource use. Progress in rainfall forecasting is placed in the context of the use of seasonal predictions in Africa, with a particular emphasis on ameliorating vulnerable livelihoods. Targeting users, reaching vulnerable livelihoods, messages that are distorted over space and time, the lag between forecasts and dissemination, maladaptive responses and false alarms are difficulties that can be expected in many developing countries. |
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Examples of methods ranging from simple correlation to multi-annual, multivariate models of seasonal rainfall prediction are given for several regions in Africa along with an overview of operation forecasts for the Sahel, East Africa and Southern Africa. Recent developments in climate prediction suggest that seasonal rainfall forecasts for Africa are increasingly reliable and should be of widespread interest to resource managers and consumers. Climate forecasts may indeed revolutionize resource management in Africa. Yet, their utility depends on the linkages between geophysical, economic and social aspects of resource use. Progress in rainfall forecasting is placed in the context of the use of seasonal predictions in Africa, with a particular emphasis on ameliorating vulnerable livelihoods. Targeting users, reaching vulnerable livelihoods, messages that are distorted over space and time, the lag between forecasts and dissemination, maladaptive responses and false alarms are difficulties that can be expected in many developing countries.</description><identifier>ISSN: 0016-7398</identifier><identifier>EISSN: 1475-4959</identifier><identifier>DOI: 10.2307/3060442</identifier><identifier>CODEN: GGJOAR</identifier><language>eng</language><publisher>London: The Royal Geographical Society</publisher><subject>Africa ; Bgi / Prodig ; Climate change ; Climate models ; Drought ; Food security ; Food supply ; Forecasting models ; General and multiregional studies ; Household economics ; Meteorology ; Oceans ; Precipitation ; Rain ; Seasonal fluctuations ; Statistical weather forecasting ; Time series forecasting ; Weather ; Weather forecasting</subject><ispartof>The Geographical journal, 1999-11, Vol.165 (3), p.255-274</ispartof><rights>Copyright 1999 The Royal Geographical Society</rights><rights>Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2001</rights><rights>Copyright Royal Geographical Society Nov 1999</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-6296b6c693a0f0fdccf52a529c10bb50a71f8777f9c313be635d58af7339f7f63</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/3060442$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/3060442$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27869,27924,27925,58017,58250</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=6180296$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Washington, Richard</creatorcontrib><creatorcontrib>Downing, Thomas E.</creatorcontrib><title>Seasonal Forecasting of African Rainfall: Prediction, Responses and Household Food Security</title><title>The Geographical journal</title><description>The main approaches, assumptions and methods used in seasonal forecasting are described in this paper. Examples of methods ranging from simple correlation to multi-annual, multivariate models of seasonal rainfall prediction are given for several regions in Africa along with an overview of operation forecasts for the Sahel, East Africa and Southern Africa. Recent developments in climate prediction suggest that seasonal rainfall forecasts for Africa are increasingly reliable and should be of widespread interest to resource managers and consumers. Climate forecasts may indeed revolutionize resource management in Africa. Yet, their utility depends on the linkages between geophysical, economic and social aspects of resource use. Progress in rainfall forecasting is placed in the context of the use of seasonal predictions in Africa, with a particular emphasis on ameliorating vulnerable livelihoods. Targeting users, reaching vulnerable livelihoods, messages that are distorted over space and time, the lag between forecasts and dissemination, maladaptive responses and false alarms are difficulties that can be expected in many developing countries.</description><subject>Africa</subject><subject>Bgi / Prodig</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Drought</subject><subject>Food security</subject><subject>Food supply</subject><subject>Forecasting models</subject><subject>General and multiregional studies</subject><subject>Household economics</subject><subject>Meteorology</subject><subject>Oceans</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Seasonal fluctuations</subject><subject>Statistical weather forecasting</subject><subject>Time series forecasting</subject><subject>Weather</subject><subject>Weather 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Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>The Geographical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Washington, Richard</au><au>Downing, Thomas E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Seasonal Forecasting of African Rainfall: Prediction, Responses and Household Food Security</atitle><jtitle>The Geographical journal</jtitle><date>1999-11-01</date><risdate>1999</risdate><volume>165</volume><issue>3</issue><spage>255</spage><epage>274</epage><pages>255-274</pages><issn>0016-7398</issn><eissn>1475-4959</eissn><coden>GGJOAR</coden><abstract>The main approaches, assumptions and methods used in seasonal forecasting are described in this paper. Examples of methods ranging from simple correlation to multi-annual, multivariate models of seasonal rainfall prediction are given for several regions in Africa along with an overview of operation forecasts for the Sahel, East Africa and Southern Africa. Recent developments in climate prediction suggest that seasonal rainfall forecasts for Africa are increasingly reliable and should be of widespread interest to resource managers and consumers. Climate forecasts may indeed revolutionize resource management in Africa. Yet, their utility depends on the linkages between geophysical, economic and social aspects of resource use. Progress in rainfall forecasting is placed in the context of the use of seasonal predictions in Africa, with a particular emphasis on ameliorating vulnerable livelihoods. Targeting users, reaching vulnerable livelihoods, messages that are distorted over space and time, the lag between forecasts and dissemination, maladaptive responses and false alarms are difficulties that can be expected in many developing countries.</abstract><cop>London</cop><pub>The Royal Geographical Society</pub><doi>10.2307/3060442</doi><tpages>20</tpages></addata></record> |
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subjects | Africa Bgi / Prodig Climate change Climate models Drought Food security Food supply Forecasting models General and multiregional studies Household economics Meteorology Oceans Precipitation Rain Seasonal fluctuations Statistical weather forecasting Time series forecasting Weather Weather forecasting |
title | Seasonal Forecasting of African Rainfall: Prediction, Responses and Household Food Security |
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