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Spatial and temporal variability of East African Kiremt season precipitation and large‐scale teleconnections
Precipitation during the Ethiopian Kiremt (June–September) season has exhibited significant interannual and multi‐decadal variability over the 20th and early 21st century. We investigate the temporal variability in the strength of the teleconnections between sea‐surface temperatures in key global oc...
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Published in: | International journal of climatology 2020-02, Vol.40 (2), p.1241-1254 |
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description | Precipitation during the Ethiopian Kiremt (June–September) season has exhibited significant interannual and multi‐decadal variability over the 20th and early 21st century. We investigate the temporal variability in the strength of the teleconnections between sea‐surface temperatures in key global oceanic regions, including the Tropical Pacific, Indian Ocean, and Tropical Atlantic, and Kiremt season precipitation at sub‐seasonal, interannual and multi‐decadal time scales. We also investigate the influence of the Madden‐Julian Oscillation (MJO). We perform a systematic analysis of 112‐year long (1901–2012) precipitation in the northern region of East Africa including the southern and central regions of Ethiopia and uncover interesting spatial, temporal and sub‐seasonal variability, and teleconnection patterns. Precipitation anomalies during wet and dry years extend throughout Northern Africa and also, during September extends over Indian subcontinent, suggesting large‐scale variability of wet/dry patterns. Wet (dry) years are accompanied by La Nina like (El Nino like) conditions in the tropical Pacific and extending into Atlantic and Indian Oceans. Through Bayesian dynamical linear modelling we find that temporal changes in seasonal precipitation correspond to changes in the strengths of sea surface temperature teleconnections, and that the relative strengths of these teleconnections rather than one dominant teleconnection influences precipitation variability. During three precipitation epochs in this region, the mid‐century pluvial, the late‐century drought, and the early 21st century, we find that changes in precipitation are related to changes in the main dynamical features of precipitation. These findings suggest that Kiremt season precipitation is in a new regime, and is of key interest to the agricultural and water resources communities who rely on accurate forecasts of precipitation to make operational decisions.
Kiremt season precipitation has varied throughout the 20th and early 21st centuries and can be linked to changes in the strengths of teleconnections with global sea surface temperature regions. These changing teleconnections are evident in the mid‐century pluvial, the late‐century drought, and in the modern epoch, where teleconnection strengths are distinctly different. This understanding of the changing strengths of teleconnections, sub‐seasonal variations in precipitation variability, and the influence of the Madden‐Julian oscillation can a |
doi_str_mv | 10.1002/joc.6268 |
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Kiremt season precipitation has varied throughout the 20th and early 21st centuries and can be linked to changes in the strengths of teleconnections with global sea surface temperature regions. These changing teleconnections are evident in the mid‐century pluvial, the late‐century drought, and in the modern epoch, where teleconnection strengths are distinctly different. This understanding of the changing strengths of teleconnections, sub‐seasonal variations in precipitation variability, and the influence of the Madden‐Julian oscillation can all be used to better understand and predict precipitation.</description><identifier>ISSN: 0899-8418</identifier><identifier>EISSN: 1097-0088</identifier><identifier>DOI: 10.1002/joc.6268</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>21st century ; Agricultural resources ; Anomalies ; Bayesian analysis ; Drought ; East Africa ; El Nino ; El Nino phenomena ; La Nina ; Madden-Julian oscillation ; Ocean models ; Oceans ; Precipitation ; Precipitation anomalies ; Precipitation variability ; Probability theory ; Regions ; Sea surface ; Sea surface temperature ; Seasonal precipitation ; Seasonal variability ; Seasonal variation ; Seasonal variations ; Seasons ; Surface temperature ; Teleconnection patterns ; Teleconnections ; Temporal variability ; Temporal variations ; Tropical climate ; Variability ; Water resources ; Weather forecasting</subject><ispartof>International journal of climatology, 2020-02, Vol.40 (2), p.1241-1254</ispartof><rights>2019 Royal Meteorological Society</rights><rights>2020 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2938-6b6d9d57d63a49dc6aeba11533db94ec443a3f934c58ce4886a02450d5abbfc13</citedby><cites>FETCH-LOGICAL-c2938-6b6d9d57d63a49dc6aeba11533db94ec443a3f934c58ce4886a02450d5abbfc13</cites><orcidid>0000-0001-8281-3299</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Broman, Daniel</creatorcontrib><creatorcontrib>Rajagopalan, Balaji</creatorcontrib><creatorcontrib>Hopson, Thomas</creatorcontrib><creatorcontrib>Gebremichael, Mekonnen</creatorcontrib><title>Spatial and temporal variability of East African Kiremt season precipitation and large‐scale teleconnections</title><title>International journal of climatology</title><description>Precipitation during the Ethiopian Kiremt (June–September) season has exhibited significant interannual and multi‐decadal variability over the 20th and early 21st century. We investigate the temporal variability in the strength of the teleconnections between sea‐surface temperatures in key global oceanic regions, including the Tropical Pacific, Indian Ocean, and Tropical Atlantic, and Kiremt season precipitation at sub‐seasonal, interannual and multi‐decadal time scales. We also investigate the influence of the Madden‐Julian Oscillation (MJO). We perform a systematic analysis of 112‐year long (1901–2012) precipitation in the northern region of East Africa including the southern and central regions of Ethiopia and uncover interesting spatial, temporal and sub‐seasonal variability, and teleconnection patterns. Precipitation anomalies during wet and dry years extend throughout Northern Africa and also, during September extends over Indian subcontinent, suggesting large‐scale variability of wet/dry patterns. Wet (dry) years are accompanied by La Nina like (El Nino like) conditions in the tropical Pacific and extending into Atlantic and Indian Oceans. Through Bayesian dynamical linear modelling we find that temporal changes in seasonal precipitation correspond to changes in the strengths of sea surface temperature teleconnections, and that the relative strengths of these teleconnections rather than one dominant teleconnection influences precipitation variability. During three precipitation epochs in this region, the mid‐century pluvial, the late‐century drought, and the early 21st century, we find that changes in precipitation are related to changes in the main dynamical features of precipitation. These findings suggest that Kiremt season precipitation is in a new regime, and is of key interest to the agricultural and water resources communities who rely on accurate forecasts of precipitation to make operational decisions.
Kiremt season precipitation has varied throughout the 20th and early 21st centuries and can be linked to changes in the strengths of teleconnections with global sea surface temperature regions. These changing teleconnections are evident in the mid‐century pluvial, the late‐century drought, and in the modern epoch, where teleconnection strengths are distinctly different. This understanding of the changing strengths of teleconnections, sub‐seasonal variations in precipitation variability, and the influence of the Madden‐Julian oscillation can all be used to better understand and predict precipitation.</description><subject>21st century</subject><subject>Agricultural resources</subject><subject>Anomalies</subject><subject>Bayesian analysis</subject><subject>Drought</subject><subject>East Africa</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>La Nina</subject><subject>Madden-Julian oscillation</subject><subject>Ocean models</subject><subject>Oceans</subject><subject>Precipitation</subject><subject>Precipitation anomalies</subject><subject>Precipitation variability</subject><subject>Probability theory</subject><subject>Regions</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Seasonal precipitation</subject><subject>Seasonal variability</subject><subject>Seasonal variation</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Surface temperature</subject><subject>Teleconnection patterns</subject><subject>Teleconnections</subject><subject>Temporal variability</subject><subject>Temporal variations</subject><subject>Tropical climate</subject><subject>Variability</subject><subject>Water resources</subject><subject>Weather forecasting</subject><issn>0899-8418</issn><issn>1097-0088</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kM1KAzEUhYMoWKvgIwTcuJmaTDJpsizF_0IX6nq4k7kjKdPJmEyV7nwEn9EnMbVuXV0OfOe7cAg552zCGcuvVt5OVK70ARlxZqYZY1ofkhHTxmRacn1MTmJcMcaM4WpEuqceBgctha6mA657H1J4h-Cgcq0bttQ39BriQGdNcBY6-ugCrgcaEaLvaB_Qut4NSZLSTtJCeMXvz69oocWkbNH6rkO7A-IpOWqgjXj2d8fk5eb6eX6XLZa39_PZIrO5ETpTlapNXUxrJUCa2irACjgvhKgrI9FKKUA0RkhbaItSawUslwWrC6iqxnIxJhd7bx_82wbjUK78JnTpZZmLgjHOuc4TdbmnbPAxBmzKPrg1hG3JWblbM7VsuVszodke_XAtbv_lyofl_Jf_AUxWeM8</recordid><startdate>202002</startdate><enddate>202002</enddate><creator>Broman, Daniel</creator><creator>Rajagopalan, Balaji</creator><creator>Hopson, Thomas</creator><creator>Gebremichael, Mekonnen</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0001-8281-3299</orcidid></search><sort><creationdate>202002</creationdate><title>Spatial and temporal variability of East African Kiremt season precipitation and large‐scale teleconnections</title><author>Broman, Daniel ; Rajagopalan, Balaji ; Hopson, Thomas ; Gebremichael, Mekonnen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2938-6b6d9d57d63a49dc6aeba11533db94ec443a3f934c58ce4886a02450d5abbfc13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>21st century</topic><topic>Agricultural resources</topic><topic>Anomalies</topic><topic>Bayesian analysis</topic><topic>Drought</topic><topic>East Africa</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>La Nina</topic><topic>Madden-Julian oscillation</topic><topic>Ocean models</topic><topic>Oceans</topic><topic>Precipitation</topic><topic>Precipitation anomalies</topic><topic>Precipitation variability</topic><topic>Probability theory</topic><topic>Regions</topic><topic>Sea surface</topic><topic>Sea surface temperature</topic><topic>Seasonal precipitation</topic><topic>Seasonal variability</topic><topic>Seasonal variation</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Surface temperature</topic><topic>Teleconnection patterns</topic><topic>Teleconnections</topic><topic>Temporal variability</topic><topic>Temporal variations</topic><topic>Tropical climate</topic><topic>Variability</topic><topic>Water resources</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Broman, Daniel</creatorcontrib><creatorcontrib>Rajagopalan, Balaji</creatorcontrib><creatorcontrib>Hopson, Thomas</creatorcontrib><creatorcontrib>Gebremichael, Mekonnen</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>International journal of climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Broman, Daniel</au><au>Rajagopalan, Balaji</au><au>Hopson, Thomas</au><au>Gebremichael, Mekonnen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial and temporal variability of East African Kiremt season precipitation and large‐scale teleconnections</atitle><jtitle>International journal of climatology</jtitle><date>2020-02</date><risdate>2020</risdate><volume>40</volume><issue>2</issue><spage>1241</spage><epage>1254</epage><pages>1241-1254</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>Precipitation during the Ethiopian Kiremt (June–September) season has exhibited significant interannual and multi‐decadal variability over the 20th and early 21st century. We investigate the temporal variability in the strength of the teleconnections between sea‐surface temperatures in key global oceanic regions, including the Tropical Pacific, Indian Ocean, and Tropical Atlantic, and Kiremt season precipitation at sub‐seasonal, interannual and multi‐decadal time scales. We also investigate the influence of the Madden‐Julian Oscillation (MJO). We perform a systematic analysis of 112‐year long (1901–2012) precipitation in the northern region of East Africa including the southern and central regions of Ethiopia and uncover interesting spatial, temporal and sub‐seasonal variability, and teleconnection patterns. Precipitation anomalies during wet and dry years extend throughout Northern Africa and also, during September extends over Indian subcontinent, suggesting large‐scale variability of wet/dry patterns. Wet (dry) years are accompanied by La Nina like (El Nino like) conditions in the tropical Pacific and extending into Atlantic and Indian Oceans. Through Bayesian dynamical linear modelling we find that temporal changes in seasonal precipitation correspond to changes in the strengths of sea surface temperature teleconnections, and that the relative strengths of these teleconnections rather than one dominant teleconnection influences precipitation variability. During three precipitation epochs in this region, the mid‐century pluvial, the late‐century drought, and the early 21st century, we find that changes in precipitation are related to changes in the main dynamical features of precipitation. These findings suggest that Kiremt season precipitation is in a new regime, and is of key interest to the agricultural and water resources communities who rely on accurate forecasts of precipitation to make operational decisions.
Kiremt season precipitation has varied throughout the 20th and early 21st centuries and can be linked to changes in the strengths of teleconnections with global sea surface temperature regions. These changing teleconnections are evident in the mid‐century pluvial, the late‐century drought, and in the modern epoch, where teleconnection strengths are distinctly different. This understanding of the changing strengths of teleconnections, sub‐seasonal variations in precipitation variability, and the influence of the Madden‐Julian oscillation can all be used to better understand and predict precipitation.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/joc.6268</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-8281-3299</orcidid></addata></record> |
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subjects | 21st century Agricultural resources Anomalies Bayesian analysis Drought East Africa El Nino El Nino phenomena La Nina Madden-Julian oscillation Ocean models Oceans Precipitation Precipitation anomalies Precipitation variability Probability theory Regions Sea surface Sea surface temperature Seasonal precipitation Seasonal variability Seasonal variation Seasonal variations Seasons Surface temperature Teleconnection patterns Teleconnections Temporal variability Temporal variations Tropical climate Variability Water resources Weather forecasting |
title | Spatial and temporal variability of East African Kiremt season precipitation and large‐scale teleconnections |
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