Modelling the potential impacts of afforestation on extreme precipitation over West Africa
This study examines how afforestation in West Africa could influence extreme precipitation over the region, with a focus on widespread extreme rainfall events (WEREs) over the afforestation area. Two regional climate models (RegCM and WRF) were applied to simulate the present-day climate (1971–2000)...
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description | This study examines how afforestation in West Africa could influence extreme precipitation over the region, with a focus on widespread extreme rainfall events (WEREs) over the afforestation area. Two regional climate models (RegCM and WRF) were applied to simulate the present-day climate (1971–2000) and future climate (2031–2060, under IPCC RCP 4.5 emission scenario) with and without afforestation of the Savannah zone in West Africa. The models give a realistic simulation of precipitation indices and WEREs over the subcontinent. On average, the regional models projected future decreases in total annual wet day precipitation (PRCPTOT) and total annual daily precipitation greater than or equal to the 95th percentile of daily precipitation threshold (R95pTOT) and increases in maximum number of consecutive dry days (CDD) over Sahel. Over Savannah, the models projected decreases in PRCPTOT but increases in R95pTOT and CDD. Also, an increase in WEREs frequency is projected over west, central and east Savannah, except that RegCM simulated a decrease in WEREs over east Savannah. In general, afforestation increases PRCPTOT and R95pTOT but decreases CDD over the afforestation area. The forest-induced increases in PRCPTOT and decreases in CDD affect all ecological zones in West Africa. However, the simulations show that afforestation of Savannah also decreases R95pTOT over the Guinea Coast. It further increases WEREs over west and central Savannah and decreases them over east Savannah because of the local decrease in R95pTOT. Results of this study suggest that the future changes in characteristics of extreme precipitation events over West Africa are sensitive to the ongoing land modification. |
doi_str_mv | 10.1007/s00382-018-4248-6 |
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Two regional climate models (RegCM and WRF) were applied to simulate the present-day climate (1971–2000) and future climate (2031–2060, under IPCC RCP 4.5 emission scenario) with and without afforestation of the Savannah zone in West Africa. The models give a realistic simulation of precipitation indices and WEREs over the subcontinent. On average, the regional models projected future decreases in total annual wet day precipitation (PRCPTOT) and total annual daily precipitation greater than or equal to the 95th percentile of daily precipitation threshold (R95pTOT) and increases in maximum number of consecutive dry days (CDD) over Sahel. Over Savannah, the models projected decreases in PRCPTOT but increases in R95pTOT and CDD. Also, an increase in WEREs frequency is projected over west, central and east Savannah, except that RegCM simulated a decrease in WEREs over east Savannah. In general, afforestation increases PRCPTOT and R95pTOT but decreases CDD over the afforestation area. The forest-induced increases in PRCPTOT and decreases in CDD affect all ecological zones in West Africa. However, the simulations show that afforestation of Savannah also decreases R95pTOT over the Guinea Coast. It further increases WEREs over west and central Savannah and decreases them over east Savannah because of the local decrease in R95pTOT. Results of this study suggest that the future changes in characteristics of extreme precipitation events over West Africa are sensitive to the ongoing land modification.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-018-4248-6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Afforestation ; Afforestation effects ; Analysis ; Annual precipitation ; Atmospheric precipitations ; Climate ; Climate models ; Climatology ; Computer simulation ; Daily precipitation ; Earth and Environmental Science ; Earth Sciences ; Extreme weather ; Future climates ; Geophysics/Geodesy ; influence ; Intergovernmental Panel on Climate Change ; Modelling ; Numerical weather prediction ; Oceanography ; Precipitation ; Precipitation variability ; Rain ; Rainfall ; Regional climate models ; Regional climates ; Savannahs</subject><ispartof>Climate dynamics, 2019-02, Vol.52 (3-4), p.2185-2198</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Climate Dynamics is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-e41721d66459aac4e3f7051eb1b2c030f1fe11df281bb1129f3e94ac4cb2573b3</citedby><cites>FETCH-LOGICAL-c420t-e41721d66459aac4e3f7051eb1b2c030f1fe11df281bb1129f3e94ac4cb2573b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00382-018-4248-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-018-4248-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Odoulami, Romaric C.</creatorcontrib><creatorcontrib>Abiodun, Babatunde J.</creatorcontrib><creatorcontrib>Ajayi, Ayodele E.</creatorcontrib><title>Modelling the potential impacts of afforestation on extreme precipitation over West Africa</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>This study examines how afforestation in West Africa could influence extreme precipitation over the region, with a focus on widespread extreme rainfall events (WEREs) over the afforestation area. Two regional climate models (RegCM and WRF) were applied to simulate the present-day climate (1971–2000) and future climate (2031–2060, under IPCC RCP 4.5 emission scenario) with and without afforestation of the Savannah zone in West Africa. The models give a realistic simulation of precipitation indices and WEREs over the subcontinent. On average, the regional models projected future decreases in total annual wet day precipitation (PRCPTOT) and total annual daily precipitation greater than or equal to the 95th percentile of daily precipitation threshold (R95pTOT) and increases in maximum number of consecutive dry days (CDD) over Sahel. Over Savannah, the models projected decreases in PRCPTOT but increases in R95pTOT and CDD. Also, an increase in WEREs frequency is projected over west, central and east Savannah, except that RegCM simulated a decrease in WEREs over east Savannah. In general, afforestation increases PRCPTOT and R95pTOT but decreases CDD over the afforestation area. The forest-induced increases in PRCPTOT and decreases in CDD affect all ecological zones in West Africa. However, the simulations show that afforestation of Savannah also decreases R95pTOT over the Guinea Coast. It further increases WEREs over west and central Savannah and decreases them over east Savannah because of the local decrease in R95pTOT. Results of this study suggest that the future changes in characteristics of extreme precipitation events over West Africa are sensitive to the ongoing land modification.</description><subject>Afforestation</subject><subject>Afforestation effects</subject><subject>Analysis</subject><subject>Annual precipitation</subject><subject>Atmospheric precipitations</subject><subject>Climate</subject><subject>Climate models</subject><subject>Climatology</subject><subject>Computer simulation</subject><subject>Daily precipitation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Extreme weather</subject><subject>Future climates</subject><subject>Geophysics/Geodesy</subject><subject>influence</subject><subject>Intergovernmental Panel on Climate Change</subject><subject>Modelling</subject><subject>Numerical weather prediction</subject><subject>Oceanography</subject><subject>Precipitation</subject><subject>Precipitation variability</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Regional climate models</subject><subject>Regional climates</subject><subject>Savannahs</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kVtrGzEQhUVoIG6aH9C3hUChD5vOSNrbowm9BBIKTUKgL0Irj2yF9WojyaX995XZhMYPRQOCme_oMDqMvUe4QIDmUwQQLS8B21Jy2Zb1EVugFLnTdvINW0AnoGyqpjphb2N8BEBZN3zBft74FQ2DG9dF2lAx-URjcnoo3HbSJsXC20Jb6wPFpJPzY5GLfqdA20wHMm5yL4NfFIqHzBVLG5zR79ix1UOks-f7lN1_-Xx3-a28_v716nJ5XRrJIZUkseG4qmtZdVobScI2UCH12HMDAixaQlxZ3mLfI_LOCupkBk3Pq0b04pSdz-9OwT_tsr969LswZkvFQXQ11pXkmbqYqbUeSLnR-hS0yWdFW2f8SNbl_rJq2uwhKsiCjweCzKS8-FrvYlRXtz8O2Q-v2A3pIW2iH3b7f4mHIM6gCT7GQFZNwW11-KMQ1D5INQepcpBqH6Sqs4bPmpjZcU3h337_F_0FZM6e8g</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Odoulami, Romaric C.</creator><creator>Abiodun, Babatunde J.</creator><creator>Ajayi, Ayodele E.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M1Q</scope><scope>M2P</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>20190201</creationdate><title>Modelling the potential impacts of afforestation on extreme precipitation over West Africa</title><author>Odoulami, Romaric C. ; Abiodun, Babatunde J. ; Ajayi, Ayodele E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-e41721d66459aac4e3f7051eb1b2c030f1fe11df281bb1129f3e94ac4cb2573b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Afforestation</topic><topic>Afforestation effects</topic><topic>Analysis</topic><topic>Annual precipitation</topic><topic>Atmospheric precipitations</topic><topic>Climate</topic><topic>Climate models</topic><topic>Climatology</topic><topic>Computer simulation</topic><topic>Daily precipitation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Extreme weather</topic><topic>Future climates</topic><topic>Geophysics/Geodesy</topic><topic>influence</topic><topic>Intergovernmental Panel on Climate Change</topic><topic>Modelling</topic><topic>Numerical weather prediction</topic><topic>Oceanography</topic><topic>Precipitation</topic><topic>Precipitation variability</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Regional climate models</topic><topic>Regional climates</topic><topic>Savannahs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Odoulami, Romaric C.</creatorcontrib><creatorcontrib>Abiodun, Babatunde J.</creatorcontrib><creatorcontrib>Ajayi, Ayodele E.</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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>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>Military Database</collection><collection>Science Database</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>Climate dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Odoulami, Romaric C.</au><au>Abiodun, Babatunde J.</au><au>Ajayi, Ayodele E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling the potential impacts of afforestation on extreme precipitation over West Africa</atitle><jtitle>Climate dynamics</jtitle><stitle>Clim Dyn</stitle><date>2019-02-01</date><risdate>2019</risdate><volume>52</volume><issue>3-4</issue><spage>2185</spage><epage>2198</epage><pages>2185-2198</pages><issn>0930-7575</issn><eissn>1432-0894</eissn><abstract>This study examines how afforestation in West Africa could influence extreme precipitation over the region, with a focus on widespread extreme rainfall events (WEREs) over the afforestation area. Two regional climate models (RegCM and WRF) were applied to simulate the present-day climate (1971–2000) and future climate (2031–2060, under IPCC RCP 4.5 emission scenario) with and without afforestation of the Savannah zone in West Africa. The models give a realistic simulation of precipitation indices and WEREs over the subcontinent. On average, the regional models projected future decreases in total annual wet day precipitation (PRCPTOT) and total annual daily precipitation greater than or equal to the 95th percentile of daily precipitation threshold (R95pTOT) and increases in maximum number of consecutive dry days (CDD) over Sahel. Over Savannah, the models projected decreases in PRCPTOT but increases in R95pTOT and CDD. Also, an increase in WEREs frequency is projected over west, central and east Savannah, except that RegCM simulated a decrease in WEREs over east Savannah. In general, afforestation increases PRCPTOT and R95pTOT but decreases CDD over the afforestation area. The forest-induced increases in PRCPTOT and decreases in CDD affect all ecological zones in West Africa. However, the simulations show that afforestation of Savannah also decreases R95pTOT over the Guinea Coast. It further increases WEREs over west and central Savannah and decreases them over east Savannah because of the local decrease in R95pTOT. Results of this study suggest that the future changes in characteristics of extreme precipitation events over West Africa are sensitive to the ongoing land modification.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-018-4248-6</doi><tpages>14</tpages></addata></record> |
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subjects | Afforestation Afforestation effects Analysis Annual precipitation Atmospheric precipitations Climate Climate models Climatology Computer simulation Daily precipitation Earth and Environmental Science Earth Sciences Extreme weather Future climates Geophysics/Geodesy influence Intergovernmental Panel on Climate Change Modelling Numerical weather prediction Oceanography Precipitation Precipitation variability Rain Rainfall Regional climate models Regional climates Savannahs |
title | Modelling the potential impacts of afforestation on extreme precipitation over West Africa |
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