The contrasting effects of thermodynamic and dynamic processes on East Asian summer monsoon precipitation during the Last Glacial Maximum: a data-model comparison
The Last Glacial Maximum (LGM; 21 ka BP) was the most recent glacial period when the global ice sheet volume was at a maximum. Therefore, the LGM can be used to investigate atmospheric dynamics under a climate that differed significantly from the present. This study quantitatively compares pollen re...
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| creator | Sun, Yong Wu, Haibin Kageyama, Masa Ramstein, Gilles Li, Laurent Z. X. Tan, Ning Lin, Yating Liu, Bo Zheng, Weipeng Zhang, Wenchao Zou, Liwei Zhou, Tianjun |
| description | The Last Glacial Maximum (LGM; 21 ka BP) was the most recent glacial period when the global ice sheet volume was at a maximum. Therefore, the LGM can be used to investigate atmospheric dynamics under a climate that differed significantly from the present. This study quantitatively compares pollen records of boreal summer (June–July–August) precipitation with the PMIP3 LGM simulations. The data-model comparison shows an overall agreement on a drier than pre-industrial East Asian summer monsoon (EASM) climate. Nevertheless, 17 out of 55 records show a regional precipitation increase that is also simulated over the additional land mass area due to sea level drop. The thermodynamic and dynamic responses are analyzed to explain a drier LGM EASM as a combination of these two antagonistic mechanisms. Relatively low atmospheric moisture content was the main thermodynamic control on the lower LGM (relative to pre-industrial levels) EASM precipitation amounts in both the reconstructions and the models. In contrast, two dynamic processes in relation to stationary eddy activity act to increase EASM precipitation regionally in records and simulations, respectively. Precipitation increase in records is explained by dynamic enhancement of the horizontal moisture transport, while dynamic enhancement of the vertical moisture transport leads to simulated precipitation increase over the specific region where landmass was exposed during LGM along continental coastlines of China due to significant drop in sea level (relative to pre-industrial levels). Overall, the opposing effects of thermodynamic and dynamic processes on precipitation during the LGM provide a means to reconcile the spatial heterogeneity of recorded precipitation changes in sign, although data-model comparison suggests that the simulated dynamic wetting mechanism is too weak relative to the thermodynamic drying mechanism over data-model disagreement regions. |
| doi_str_mv | 10.1007/s00382-020-05533-7 |
| format | Article |
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X. ; Tan, Ning ; Lin, Yating ; Liu, Bo ; Zheng, Weipeng ; Zhang, Wenchao ; Zou, Liwei ; Zhou, Tianjun</creator><creatorcontrib>Sun, Yong ; Wu, Haibin ; Kageyama, Masa ; Ramstein, Gilles ; Li, Laurent Z. X. ; Tan, Ning ; Lin, Yating ; Liu, Bo ; Zheng, Weipeng ; Zhang, Wenchao ; Zou, Liwei ; Zhou, Tianjun</creatorcontrib><description>The Last Glacial Maximum (LGM; 21 ka BP) was the most recent glacial period when the global ice sheet volume was at a maximum. Therefore, the LGM can be used to investigate atmospheric dynamics under a climate that differed significantly from the present. This study quantitatively compares pollen records of boreal summer (June–July–August) precipitation with the PMIP3 LGM simulations. The data-model comparison shows an overall agreement on a drier than pre-industrial East Asian summer monsoon (EASM) climate. Nevertheless, 17 out of 55 records show a regional precipitation increase that is also simulated over the additional land mass area due to sea level drop. The thermodynamic and dynamic responses are analyzed to explain a drier LGM EASM as a combination of these two antagonistic mechanisms. Relatively low atmospheric moisture content was the main thermodynamic control on the lower LGM (relative to pre-industrial levels) EASM precipitation amounts in both the reconstructions and the models. In contrast, two dynamic processes in relation to stationary eddy activity act to increase EASM precipitation regionally in records and simulations, respectively. Precipitation increase in records is explained by dynamic enhancement of the horizontal moisture transport, while dynamic enhancement of the vertical moisture transport leads to simulated precipitation increase over the specific region where landmass was exposed during LGM along continental coastlines of China due to significant drop in sea level (relative to pre-industrial levels). Overall, the opposing effects of thermodynamic and dynamic processes on precipitation during the LGM provide a means to reconcile the spatial heterogeneity of recorded precipitation changes in sign, although data-model comparison suggests that the simulated dynamic wetting mechanism is too weak relative to the thermodynamic drying mechanism over data-model disagreement regions.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-020-05533-7</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analysis ; Atmospheric dynamics ; Atmospheric models ; Atmospheric moisture ; Climate ; Climatology ; Comparative analysis ; Continental interfaces, environment ; Data ; Drying ; Dynamics ; Earth and Environmental Science ; Earth Sciences ; East Asian monsoon ; Environmental aspects ; Environmental Sciences ; Geophysics/Geodesy ; Glacial periods ; Glaciation ; Heterogeneity ; Ice ages ; Ice sheets ; Last Glacial Maximum ; Moisture content ; Monsoon climates ; Monsoon precipitation ; Monsoons ; Oceanography ; Paleoclimatology ; Patchiness ; Pollen ; Precipitation ; Records ; Sciences of the Universe ; Sea level ; Simulation ; Spatial heterogeneity ; Statistics ; Summer ; Summer climates ; Summer monsoon ; Thermodynamics ; Transport ; Water content ; Wetting</subject><ispartof>Climate dynamics, 2021-02, Vol.56 (3-4), p.1303-1316</ispartof><rights>The Author(s) 2020</rights><rights>COPYRIGHT 2020 Springer</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c501t-6bedad52913f7708446c6631c7306ec8b3bc51f0a458045df761d108d5bca1683</citedby><cites>FETCH-LOGICAL-c501t-6bedad52913f7708446c6631c7306ec8b3bc51f0a458045df761d108d5bca1683</cites><orcidid>0000-0002-1087-6060 ; 0000-0003-0822-5880 ; 0000-0003-1968-197X ; 0000-0002-3855-3976 ; 0000-0002-1522-917X</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/s00382-020-05533-7$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-020-05533-7$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://hal.science/hal-03331787$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Sun, Yong</creatorcontrib><creatorcontrib>Wu, Haibin</creatorcontrib><creatorcontrib>Kageyama, Masa</creatorcontrib><creatorcontrib>Ramstein, Gilles</creatorcontrib><creatorcontrib>Li, Laurent Z. X.</creatorcontrib><creatorcontrib>Tan, Ning</creatorcontrib><creatorcontrib>Lin, Yating</creatorcontrib><creatorcontrib>Liu, Bo</creatorcontrib><creatorcontrib>Zheng, Weipeng</creatorcontrib><creatorcontrib>Zhang, Wenchao</creatorcontrib><creatorcontrib>Zou, Liwei</creatorcontrib><creatorcontrib>Zhou, Tianjun</creatorcontrib><title>The contrasting effects of thermodynamic and dynamic processes on East Asian summer monsoon precipitation during the Last Glacial Maximum: a data-model comparison</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>The Last Glacial Maximum (LGM; 21 ka BP) was the most recent glacial period when the global ice sheet volume was at a maximum. Therefore, the LGM can be used to investigate atmospheric dynamics under a climate that differed significantly from the present. This study quantitatively compares pollen records of boreal summer (June–July–August) precipitation with the PMIP3 LGM simulations. The data-model comparison shows an overall agreement on a drier than pre-industrial East Asian summer monsoon (EASM) climate. Nevertheless, 17 out of 55 records show a regional precipitation increase that is also simulated over the additional land mass area due to sea level drop. The thermodynamic and dynamic responses are analyzed to explain a drier LGM EASM as a combination of these two antagonistic mechanisms. Relatively low atmospheric moisture content was the main thermodynamic control on the lower LGM (relative to pre-industrial levels) EASM precipitation amounts in both the reconstructions and the models. In contrast, two dynamic processes in relation to stationary eddy activity act to increase EASM precipitation regionally in records and simulations, respectively. Precipitation increase in records is explained by dynamic enhancement of the horizontal moisture transport, while dynamic enhancement of the vertical moisture transport leads to simulated precipitation increase over the specific region where landmass was exposed during LGM along continental coastlines of China due to significant drop in sea level (relative to pre-industrial levels). Overall, the opposing effects of thermodynamic and dynamic processes on precipitation during the LGM provide a means to reconcile the spatial heterogeneity of recorded precipitation changes in sign, although data-model comparison suggests that the simulated dynamic wetting mechanism is too weak relative to the thermodynamic drying mechanism over data-model disagreement regions.</description><subject>Analysis</subject><subject>Atmospheric dynamics</subject><subject>Atmospheric models</subject><subject>Atmospheric moisture</subject><subject>Climate</subject><subject>Climatology</subject><subject>Comparative analysis</subject><subject>Continental interfaces, environment</subject><subject>Data</subject><subject>Drying</subject><subject>Dynamics</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>East Asian monsoon</subject><subject>Environmental aspects</subject><subject>Environmental Sciences</subject><subject>Geophysics/Geodesy</subject><subject>Glacial periods</subject><subject>Glaciation</subject><subject>Heterogeneity</subject><subject>Ice ages</subject><subject>Ice sheets</subject><subject>Last Glacial Maximum</subject><subject>Moisture content</subject><subject>Monsoon climates</subject><subject>Monsoon precipitation</subject><subject>Monsoons</subject><subject>Oceanography</subject><subject>Paleoclimatology</subject><subject>Patchiness</subject><subject>Pollen</subject><subject>Precipitation</subject><subject>Records</subject><subject>Sciences of the Universe</subject><subject>Sea level</subject><subject>Simulation</subject><subject>Spatial heterogeneity</subject><subject>Statistics</subject><subject>Summer</subject><subject>Summer climates</subject><subject>Summer monsoon</subject><subject>Thermodynamics</subject><subject>Transport</subject><subject>Water content</subject><subject>Wetting</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9Uk1v1DAQjRBILAt_gJMlJCQOae04trPcVlVpK22FBOVszfpj11ViB9tB7d_hl-KQQukF-WB7_N7M-M2rqrcEnxCMxWnCmHZNjRtcY8YorcWzakVaWkLdpn1erfCG4lowwV5Wr1K6xZi0XDSr6ufN0SAVfI6QsvMHZKw1KicULMpHE4eg7z0MTiHwGv05jzEok5IpMI_OCxNtkwOP0jQMJqIh-BTKyxiNcqPLkF256SnOBUpWtJspFz0oBz26hjs3TMNHBEhDhrqUNH3paRghuhT86-qFhT6ZNw_7uvr26fzm7LLefb64OtvuasUwyTXfGw2aNRtCrRC4a1uuOKdECYq5Ud2e7hUjFkPLOtwybQUnmuBOs70Cwju6rj4seY_QyzG6AeK9DODk5XYn5ximlBLRiR-kYN8t2KLE98mkLG_DFH1pTzZtJxrGeJnIujpZUAfojXTehiKzKkubomLwxroS33JGGtpSvnls4YEwD8bc5QNMKcmrr1-eYt__gz0a6PMxhX6atU5Pgc0CVDGkFI39-zmC5eweubhHFvfI3-6RopDoQkrjPDUTHz_4H9YvekDHRQ</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Sun, Yong</creator><creator>Wu, Haibin</creator><creator>Kageyama, Masa</creator><creator>Ramstein, Gilles</creator><creator>Li, Laurent Z. 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X.</creatorcontrib><creatorcontrib>Tan, Ning</creatorcontrib><creatorcontrib>Lin, Yating</creatorcontrib><creatorcontrib>Liu, Bo</creatorcontrib><creatorcontrib>Zheng, Weipeng</creatorcontrib><creatorcontrib>Zhang, Wenchao</creatorcontrib><creatorcontrib>Zou, Liwei</creatorcontrib><creatorcontrib>Zhou, Tianjun</creatorcontrib><collection>Springer Nature OA Free Journals</collection><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><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Climate dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Yong</au><au>Wu, Haibin</au><au>Kageyama, Masa</au><au>Ramstein, Gilles</au><au>Li, Laurent Z. X.</au><au>Tan, Ning</au><au>Lin, Yating</au><au>Liu, Bo</au><au>Zheng, Weipeng</au><au>Zhang, Wenchao</au><au>Zou, Liwei</au><au>Zhou, Tianjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The contrasting effects of thermodynamic and dynamic processes on East Asian summer monsoon precipitation during the Last Glacial Maximum: a data-model comparison</atitle><jtitle>Climate dynamics</jtitle><stitle>Clim Dyn</stitle><date>2021-02-01</date><risdate>2021</risdate><volume>56</volume><issue>3-4</issue><spage>1303</spage><epage>1316</epage><pages>1303-1316</pages><issn>0930-7575</issn><eissn>1432-0894</eissn><abstract>The Last Glacial Maximum (LGM; 21 ka BP) was the most recent glacial period when the global ice sheet volume was at a maximum. Therefore, the LGM can be used to investigate atmospheric dynamics under a climate that differed significantly from the present. This study quantitatively compares pollen records of boreal summer (June–July–August) precipitation with the PMIP3 LGM simulations. The data-model comparison shows an overall agreement on a drier than pre-industrial East Asian summer monsoon (EASM) climate. Nevertheless, 17 out of 55 records show a regional precipitation increase that is also simulated over the additional land mass area due to sea level drop. The thermodynamic and dynamic responses are analyzed to explain a drier LGM EASM as a combination of these two antagonistic mechanisms. Relatively low atmospheric moisture content was the main thermodynamic control on the lower LGM (relative to pre-industrial levels) EASM precipitation amounts in both the reconstructions and the models. In contrast, two dynamic processes in relation to stationary eddy activity act to increase EASM precipitation regionally in records and simulations, respectively. Precipitation increase in records is explained by dynamic enhancement of the horizontal moisture transport, while dynamic enhancement of the vertical moisture transport leads to simulated precipitation increase over the specific region where landmass was exposed during LGM along continental coastlines of China due to significant drop in sea level (relative to pre-industrial levels). Overall, the opposing effects of thermodynamic and dynamic processes on precipitation during the LGM provide a means to reconcile the spatial heterogeneity of recorded precipitation changes in sign, although data-model comparison suggests that the simulated dynamic wetting mechanism is too weak relative to the thermodynamic drying mechanism over data-model disagreement regions.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-020-05533-7</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-1087-6060</orcidid><orcidid>https://orcid.org/0000-0003-0822-5880</orcidid><orcidid>https://orcid.org/0000-0003-1968-197X</orcidid><orcidid>https://orcid.org/0000-0002-3855-3976</orcidid><orcidid>https://orcid.org/0000-0002-1522-917X</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Climate dynamics, 2021-02, Vol.56 (3-4), p.1303-1316 |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Analysis Atmospheric dynamics Atmospheric models Atmospheric moisture Climate Climatology Comparative analysis Continental interfaces, environment Data Drying Dynamics Earth and Environmental Science Earth Sciences East Asian monsoon Environmental aspects Environmental Sciences Geophysics/Geodesy Glacial periods Glaciation Heterogeneity Ice ages Ice sheets Last Glacial Maximum Moisture content Monsoon climates Monsoon precipitation Monsoons Oceanography Paleoclimatology Patchiness Pollen Precipitation Records Sciences of the Universe Sea level Simulation Spatial heterogeneity Statistics Summer Summer climates Summer monsoon Thermodynamics Transport Water content Wetting |
| title | The contrasting effects of thermodynamic and dynamic processes on East Asian summer monsoon precipitation during the Last Glacial Maximum: a data-model comparison |
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