The mechanisms behind changes in the seasonality of global precipitation found in reanalysis products and CMIP5 simulations
As the global atmosphere warms, water vapor concentrations increase with rising temperatures at a rate of 7%/K. Precipitation change is associated with increased moisture convergence, which can be decomposed into thermodynamic and dynamic contributions. Our previous studies involving Coupled Model I...
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description | As the global atmosphere warms, water vapor concentrations increase with rising temperatures at a rate of 7%/K. Precipitation change is associated with increased moisture convergence, which can be decomposed into thermodynamic and dynamic contributions. Our previous studies involving Coupled Model Intercomparison Project Phase 3 (CMIP3) projections have suggested that seasonal disparity in changes of global precipitation is primarily associated with the thermodynamic contribution. In this study, a vertically integrated atmospheric water budget analysis using multiple reanalysis datasets demonstrated that dynamic changes played a significant role in seasonal precipitation changes during 1979–2008, especially in the global average and ocean average. The thermodynamic component exhibited almost consistent magnitude in the contribution of seasonal precipitation changes during 1979–2008 in both CMIP5_AMIP models and reanalysis datasets, whereas the dynamic component (related to the tendency of ω and water vapor climatology) made a lower or negative contribution in the CMIP5_AMIP models compared with the reanalysis datasets. Strengthened (weakened) ascending and descending motions in the reanalysis datasets (CMIP5_AMIP models), which were indicative of strengthened (weakened) seasonal mean circulation, tended to increase (reduce) precipitation in the wet season and reduce (increase) precipitation in the dry season during the study period. Vertical profiles of the tendency of moist static energy in the mid-to-upper troposphere suggested a trend toward stability in the CMIP5_AMIP models and one toward instability in the reanalysis datasets. Such disagreement in stability might be related to the different warming tendency in the mid-to-upper troposphere over the tropics. |
doi_str_mv | 10.1007/s00382-019-04781-6 |
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Precipitation change is associated with increased moisture convergence, which can be decomposed into thermodynamic and dynamic contributions. Our previous studies involving Coupled Model Intercomparison Project Phase 3 (CMIP3) projections have suggested that seasonal disparity in changes of global precipitation is primarily associated with the thermodynamic contribution. In this study, a vertically integrated atmospheric water budget analysis using multiple reanalysis datasets demonstrated that dynamic changes played a significant role in seasonal precipitation changes during 1979–2008, especially in the global average and ocean average. The thermodynamic component exhibited almost consistent magnitude in the contribution of seasonal precipitation changes during 1979–2008 in both CMIP5_AMIP models and reanalysis datasets, whereas the dynamic component (related to the tendency of ω and water vapor climatology) made a lower or negative contribution in the CMIP5_AMIP models compared with the reanalysis datasets. Strengthened (weakened) ascending and descending motions in the reanalysis datasets (CMIP5_AMIP models), which were indicative of strengthened (weakened) seasonal mean circulation, tended to increase (reduce) precipitation in the wet season and reduce (increase) precipitation in the dry season during the study period. Vertical profiles of the tendency of moist static energy in the mid-to-upper troposphere suggested a trend toward stability in the CMIP5_AMIP models and one toward instability in the reanalysis datasets. Such disagreement in stability might be related to the different warming tendency in the mid-to-upper troposphere over the tropics.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-019-04781-6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Atmospheric models ; Atmospheric water ; Climate models ; Climatology ; Computer simulation ; Datasets ; Dry season ; Earth and Environmental Science ; Earth Sciences ; Environmental aspects ; Geophysics/Geodesy ; Global precipitation ; Global warming ; Instability ; Intercomparison ; Moist static energy ; Oceanography ; Precipitation ; Precipitation variability ; Profiles ; Rainy season ; Seasonal precipitation ; Seasonal variations ; Seasonality ; Seasons ; Stability ; Tropical environments ; Troposphere ; Upper troposphere ; Vertical profiles ; Water budget ; Water resources ; Water vapor ; Water vapour ; Wet season</subject><ispartof>Climate dynamics, 2019-10, Vol.53 (7-8), p.4173-4187</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Climate Dynamics is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-e9e653dee4b24b0efa67dde49e8b7addaa66266ccbd3e78ab451d2b8ca7f59633</citedby><cites>FETCH-LOGICAL-c423t-e9e653dee4b24b0efa67dde49e8b7addaa66266ccbd3e78ab451d2b8ca7f59633</cites><orcidid>0000-0002-8653-143X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00382-019-04781-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-019-04781-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Lan, Chia-Wei</creatorcontrib><creatorcontrib>Lo, Min-Hui</creatorcontrib><creatorcontrib>Chen, Chao-An</creatorcontrib><creatorcontrib>Yu, Jia-Yuh</creatorcontrib><title>The mechanisms behind changes in the seasonality of global precipitation found in reanalysis products and CMIP5 simulations</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>As the global atmosphere warms, water vapor concentrations increase with rising temperatures at a rate of 7%/K. Precipitation change is associated with increased moisture convergence, which can be decomposed into thermodynamic and dynamic contributions. Our previous studies involving Coupled Model Intercomparison Project Phase 3 (CMIP3) projections have suggested that seasonal disparity in changes of global precipitation is primarily associated with the thermodynamic contribution. In this study, a vertically integrated atmospheric water budget analysis using multiple reanalysis datasets demonstrated that dynamic changes played a significant role in seasonal precipitation changes during 1979–2008, especially in the global average and ocean average. The thermodynamic component exhibited almost consistent magnitude in the contribution of seasonal precipitation changes during 1979–2008 in both CMIP5_AMIP models and reanalysis datasets, whereas the dynamic component (related to the tendency of ω and water vapor climatology) made a lower or negative contribution in the CMIP5_AMIP models compared with the reanalysis datasets. Strengthened (weakened) ascending and descending motions in the reanalysis datasets (CMIP5_AMIP models), which were indicative of strengthened (weakened) seasonal mean circulation, tended to increase (reduce) precipitation in the wet season and reduce (increase) precipitation in the dry season during the study period. Vertical profiles of the tendency of moist static energy in the mid-to-upper troposphere suggested a trend toward stability in the CMIP5_AMIP models and one toward instability in the reanalysis datasets. Such disagreement in stability might be related to the different warming tendency in the mid-to-upper troposphere over the tropics.</description><subject>Atmospheric models</subject><subject>Atmospheric water</subject><subject>Climate models</subject><subject>Climatology</subject><subject>Computer simulation</subject><subject>Datasets</subject><subject>Dry season</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental aspects</subject><subject>Geophysics/Geodesy</subject><subject>Global precipitation</subject><subject>Global warming</subject><subject>Instability</subject><subject>Intercomparison</subject><subject>Moist static energy</subject><subject>Oceanography</subject><subject>Precipitation</subject><subject>Precipitation variability</subject><subject>Profiles</subject><subject>Rainy season</subject><subject>Seasonal precipitation</subject><subject>Seasonal variations</subject><subject>Seasonality</subject><subject>Seasons</subject><subject>Stability</subject><subject>Tropical environments</subject><subject>Troposphere</subject><subject>Upper troposphere</subject><subject>Vertical profiles</subject><subject>Water budget</subject><subject>Water resources</subject><subject>Water vapor</subject><subject>Water vapour</subject><subject>Wet season</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>eNp9kV2L1DAUhou44Lj6B7wKCIIXXfPRpu3lMvgxsKLsx3VIk9NplrYZe1Jw8M97diro3EguQk6e53CSN8veCH4lOK8-IOeqljkXTc6Lqha5fpZtRKGoVDfF82zDG8XzqqzKF9lLxEfORaErucl-3ffARnC9nQKOyFrow-TZ03kPyMLEEgEIFuNkh5COLHZsP8TWDuwwgwuHkGwKcWJdXEgkYQZL6BEDEhH94hIyS1fbr7vvJcMwLsPJwFfZRWcHhNd_9svs4dPH--2X_Obb5932-iZ3hVQphwZ0qTxA0cqi5dBZXXkPRQN1W1nvrdVaau1c6xVUtW2LUnjZ1s5WXdlopS6zt2tfGufHApjMY1xmmhGNlEJRc1lyoq5Wam8HMGHqYpqto-VhDC5O0AWqX2tORi2UIOH9mUBMgp9pbxdEs7u7PWff_cP2YIfUYxyW0z-cg3IF3RwRZ-jMYQ6jnY9GcPMUtVmjNhS1OUVtNElqlZBgym3--8D_WL8BWdWs4A</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Lan, Chia-Wei</creator><creator>Lo, Min-Hui</creator><creator>Chen, Chao-An</creator><creator>Yu, Jia-Yuh</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>AEUYN</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><orcidid>https://orcid.org/0000-0002-8653-143X</orcidid></search><sort><creationdate>20191001</creationdate><title>The mechanisms behind changes in the seasonality of global precipitation found in reanalysis products and CMIP5 simulations</title><author>Lan, Chia-Wei ; Lo, Min-Hui ; Chen, Chao-An ; Yu, Jia-Yuh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c423t-e9e653dee4b24b0efa67dde49e8b7addaa66266ccbd3e78ab451d2b8ca7f59633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Atmospheric models</topic><topic>Atmospheric water</topic><topic>Climate models</topic><topic>Climatology</topic><topic>Computer simulation</topic><topic>Datasets</topic><topic>Dry season</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental aspects</topic><topic>Geophysics/Geodesy</topic><topic>Global precipitation</topic><topic>Global warming</topic><topic>Instability</topic><topic>Intercomparison</topic><topic>Moist static energy</topic><topic>Oceanography</topic><topic>Precipitation</topic><topic>Precipitation variability</topic><topic>Profiles</topic><topic>Rainy season</topic><topic>Seasonal precipitation</topic><topic>Seasonal variations</topic><topic>Seasonality</topic><topic>Seasons</topic><topic>Stability</topic><topic>Tropical environments</topic><topic>Troposphere</topic><topic>Upper troposphere</topic><topic>Vertical profiles</topic><topic>Water budget</topic><topic>Water resources</topic><topic>Water vapor</topic><topic>Water vapour</topic><topic>Wet season</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lan, Chia-Wei</creatorcontrib><creatorcontrib>Lo, Min-Hui</creatorcontrib><creatorcontrib>Chen, Chao-An</creatorcontrib><creatorcontrib>Yu, Jia-Yuh</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)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest 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</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 (Proquest) (PQ_SDU_P3)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Military Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Science Journals</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>Lan, Chia-Wei</au><au>Lo, Min-Hui</au><au>Chen, Chao-An</au><au>Yu, Jia-Yuh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The mechanisms behind changes in the seasonality of global precipitation found in reanalysis products and CMIP5 simulations</atitle><jtitle>Climate dynamics</jtitle><stitle>Clim Dyn</stitle><date>2019-10-01</date><risdate>2019</risdate><volume>53</volume><issue>7-8</issue><spage>4173</spage><epage>4187</epage><pages>4173-4187</pages><issn>0930-7575</issn><eissn>1432-0894</eissn><abstract>As the global atmosphere warms, water vapor concentrations increase with rising temperatures at a rate of 7%/K. Precipitation change is associated with increased moisture convergence, which can be decomposed into thermodynamic and dynamic contributions. Our previous studies involving Coupled Model Intercomparison Project Phase 3 (CMIP3) projections have suggested that seasonal disparity in changes of global precipitation is primarily associated with the thermodynamic contribution. In this study, a vertically integrated atmospheric water budget analysis using multiple reanalysis datasets demonstrated that dynamic changes played a significant role in seasonal precipitation changes during 1979–2008, especially in the global average and ocean average. The thermodynamic component exhibited almost consistent magnitude in the contribution of seasonal precipitation changes during 1979–2008 in both CMIP5_AMIP models and reanalysis datasets, whereas the dynamic component (related to the tendency of ω and water vapor climatology) made a lower or negative contribution in the CMIP5_AMIP models compared with the reanalysis datasets. Strengthened (weakened) ascending and descending motions in the reanalysis datasets (CMIP5_AMIP models), which were indicative of strengthened (weakened) seasonal mean circulation, tended to increase (reduce) precipitation in the wet season and reduce (increase) precipitation in the dry season during the study period. Vertical profiles of the tendency of moist static energy in the mid-to-upper troposphere suggested a trend toward stability in the CMIP5_AMIP models and one toward instability in the reanalysis datasets. Such disagreement in stability might be related to the different warming tendency in the mid-to-upper troposphere over the tropics.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-019-04781-6</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-8653-143X</orcidid></addata></record> |
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subjects | Atmospheric models Atmospheric water Climate models Climatology Computer simulation Datasets Dry season Earth and Environmental Science Earth Sciences Environmental aspects Geophysics/Geodesy Global precipitation Global warming Instability Intercomparison Moist static energy Oceanography Precipitation Precipitation variability Profiles Rainy season Seasonal precipitation Seasonal variations Seasonality Seasons Stability Tropical environments Troposphere Upper troposphere Vertical profiles Water budget Water resources Water vapor Water vapour Wet season |
title | The mechanisms behind changes in the seasonality of global precipitation found in reanalysis products and CMIP5 simulations |
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