Teleconnections between Ethiopian rainfall variability and global SSTs: observations and methods for model evaluation
Rainfall variability in Ethiopia has significant effects on rainfed agriculture and hydropower, so understanding its association with slowly varying global sea surface temperatures (SSTs) is potentially important for prediction purposes. We provide an overview of the seasonality and spatial variabil...
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description | Rainfall variability in Ethiopia has significant effects on rainfed agriculture and hydropower, so understanding its association with slowly varying global sea surface temperatures (SSTs) is potentially important for prediction purposes. We provide an overview of the seasonality and spatial variability of these teleconnections across Ethiopia. A quasi-objective method is employed to define coherent seasons and regions of SST-rainfall teleconnections for Ethiopia. We identify three seasons (March–May, MAM; July–September, JAS; and October–November, ON), which are similar to those defined by climatological rainfall totals. We also identify three new regions (Central and western Ethiopia, CW-Ethiopia; Southern Ethiopia, S-Ethiopia; and Northeast Ethiopia, NE-Ethiopia) that are complementary to those previously defined here based on distinct SST-rainfall teleconnections that are useful when predicting interannual anomalies. JAS rainfall over CW-Ethiopia is negatively associated with SSTs over the equatorial east Pacific and Indian Ocean. New regional detail is added to that previously found for the whole of East Africa, in particular that ON rainfall over S-Ethiopia is positively associated with equatorial east Pacific SSTs and with the Indian Ocean Dipole (IOD). Also, SST-to-rainfall correlations for other season-regions, and specifically for MAM in all regions, are found to be negligible. The representation of these teleconnections in the HadGEM2 and HadGEM3-GA3.0 coupled climate models shows mixed skill. Both models poorly represent the statistically significant teleconnections, except that HadGEM2 and the low resolution (N96) version of HadGEM3-GA3.0 better represent the association between the IOD and S-Ethiopian ON rainfall. Additionally, both models are able to represent the lack of SST-rainfall correlation in other seasons and other parts of Ethiopia. |
doi_str_mv | 10.1007/s00703-016-0466-9 |
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We provide an overview of the seasonality and spatial variability of these teleconnections across Ethiopia. A quasi-objective method is employed to define coherent seasons and regions of SST-rainfall teleconnections for Ethiopia. We identify three seasons (March–May, MAM; July–September, JAS; and October–November, ON), which are similar to those defined by climatological rainfall totals. We also identify three new regions (Central and western Ethiopia, CW-Ethiopia; Southern Ethiopia, S-Ethiopia; and Northeast Ethiopia, NE-Ethiopia) that are complementary to those previously defined here based on distinct SST-rainfall teleconnections that are useful when predicting interannual anomalies. JAS rainfall over CW-Ethiopia is negatively associated with SSTs over the equatorial east Pacific and Indian Ocean. New regional detail is added to that previously found for the whole of East Africa, in particular that ON rainfall over S-Ethiopia is positively associated with equatorial east Pacific SSTs and with the Indian Ocean Dipole (IOD). Also, SST-to-rainfall correlations for other season-regions, and specifically for MAM in all regions, are found to be negligible. The representation of these teleconnections in the HadGEM2 and HadGEM3-GA3.0 coupled climate models shows mixed skill. Both models poorly represent the statistically significant teleconnections, except that HadGEM2 and the low resolution (N96) version of HadGEM3-GA3.0 better represent the association between the IOD and S-Ethiopian ON rainfall. 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New regional detail is added to that previously found for the whole of East Africa, in particular that ON rainfall over S-Ethiopia is positively associated with equatorial east Pacific SSTs and with the Indian Ocean Dipole (IOD). Also, SST-to-rainfall correlations for other season-regions, and specifically for MAM in all regions, are found to be negligible. The representation of these teleconnections in the HadGEM2 and HadGEM3-GA3.0 coupled climate models shows mixed skill. Both models poorly represent the statistically significant teleconnections, except that HadGEM2 and the low resolution (N96) version of HadGEM3-GA3.0 better represent the association between the IOD and S-Ethiopian ON rainfall. Additionally, both models are able to represent the lack of SST-rainfall correlation in other seasons and other parts of Ethiopia.</description><subject>Aquatic Pollution</subject><subject>Atmospheric physics</subject><subject>Atmospheric Sciences</subject><subject>Climate models</subject><subject>Correlation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Global temperatures</subject><subject>Hydroelectric power</subject><subject>Indian Ocean</subject><subject>Marine</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical models</subject><subject>Meteorology</subject><subject>Oceans</subject><subject>Original Paper</subject><subject>Predictions</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainfed farming</subject><subject>Sea surface temperature</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Teleconnections</subject><subject>Temperature</subject><subject>Terrestrial Pollution</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0177-7971</issn><issn>1436-5065</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkU1r3DAQhkVJoZu0P6A3QS-5uNFItj56KyFpA4Eesj0L2R4nClppK9kb8u-rrXsohUAuIwY97wPDS8hHYJ-BMXVR6mCiYSAb1krZmDdkA62QTcdkd0I2DJRqlFHwjpyW8sjqLjlsyLLFgEOKEYfZp1hoj_MTYqRX84NPe-8izc7HyYVADy571_vg52fq4kjvQ-pdoHd32_KFpr5gPrhVcvzd4fyQxkKnlOkujRgoHlxY_hDvydtqLPjh73tGfl5fbS-_N7c_vt1cfr1thrbVcyMktHoQYJSYzMAYH0GAw3boJj0K1TM2ualrec86jgpHGFWrnNJ8YmCE7sQZOV-9-5x-LVhmu_NlwBBcxLQUC7piRnEFr0C1NlJz0BX99B_6mJYc6yFHCkynheSVgpUaciol42T32e9cfrbA7LEzu3Zma2f22Jk1NcPXTKlsvMf8j_nF0G_tXJm3</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Degefu, Mekonnen Adnew</creator><creator>Rowell, David P.</creator><creator>Bewket, Woldeamlak</creator><general>Springer Vienna</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7U5</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20170401</creationdate><title>Teleconnections between Ethiopian rainfall variability and global SSTs: observations and methods for model evaluation</title><author>Degefu, Mekonnen Adnew ; Rowell, David P. ; Bewket, Woldeamlak</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-36148c31973f9c002d131ae4c5f8d37b00faf542b052e7ed1d747a782f0193853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aquatic Pollution</topic><topic>Atmospheric physics</topic><topic>Atmospheric Sciences</topic><topic>Climate models</topic><topic>Correlation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Global temperatures</topic><topic>Hydroelectric power</topic><topic>Indian Ocean</topic><topic>Marine</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical models</topic><topic>Meteorology</topic><topic>Oceans</topic><topic>Original Paper</topic><topic>Predictions</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Rainfed farming</topic><topic>Sea surface temperature</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Teleconnections</topic><topic>Temperature</topic><topic>Terrestrial Pollution</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Degefu, Mekonnen Adnew</creatorcontrib><creatorcontrib>Rowell, David P.</creatorcontrib><creatorcontrib>Bewket, Woldeamlak</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Meteorology and atmospheric physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Degefu, Mekonnen Adnew</au><au>Rowell, David P.</au><au>Bewket, Woldeamlak</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Teleconnections between Ethiopian rainfall variability and global SSTs: observations and methods for model evaluation</atitle><jtitle>Meteorology and atmospheric physics</jtitle><stitle>Meteorol Atmos Phys</stitle><date>2017-04-01</date><risdate>2017</risdate><volume>129</volume><issue>2</issue><spage>173</spage><epage>186</epage><pages>173-186</pages><issn>0177-7971</issn><eissn>1436-5065</eissn><abstract>Rainfall variability in Ethiopia has significant effects on rainfed agriculture and hydropower, so understanding its association with slowly varying global sea surface temperatures (SSTs) is potentially important for prediction purposes. We provide an overview of the seasonality and spatial variability of these teleconnections across Ethiopia. A quasi-objective method is employed to define coherent seasons and regions of SST-rainfall teleconnections for Ethiopia. We identify three seasons (March–May, MAM; July–September, JAS; and October–November, ON), which are similar to those defined by climatological rainfall totals. We also identify three new regions (Central and western Ethiopia, CW-Ethiopia; Southern Ethiopia, S-Ethiopia; and Northeast Ethiopia, NE-Ethiopia) that are complementary to those previously defined here based on distinct SST-rainfall teleconnections that are useful when predicting interannual anomalies. JAS rainfall over CW-Ethiopia is negatively associated with SSTs over the equatorial east Pacific and Indian Ocean. New regional detail is added to that previously found for the whole of East Africa, in particular that ON rainfall over S-Ethiopia is positively associated with equatorial east Pacific SSTs and with the Indian Ocean Dipole (IOD). Also, SST-to-rainfall correlations for other season-regions, and specifically for MAM in all regions, are found to be negligible. The representation of these teleconnections in the HadGEM2 and HadGEM3-GA3.0 coupled climate models shows mixed skill. Both models poorly represent the statistically significant teleconnections, except that HadGEM2 and the low resolution (N96) version of HadGEM3-GA3.0 better represent the association between the IOD and S-Ethiopian ON rainfall. Additionally, both models are able to represent the lack of SST-rainfall correlation in other seasons and other parts of Ethiopia.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00703-016-0466-9</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aquatic Pollution Atmospheric physics Atmospheric Sciences Climate models Correlation Earth and Environmental Science Earth Sciences Global temperatures Hydroelectric power Indian Ocean Marine Math. Appl. in Environmental Science Mathematical models Meteorology Oceans Original Paper Predictions Rain Rainfall Rainfed farming Sea surface temperature Seasonal variations Seasons Teleconnections Temperature Terrestrial Pollution Waste Water Technology Water Management Water Pollution Control |
title | Teleconnections between Ethiopian rainfall variability and global SSTs: observations and methods for model evaluation |
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