Land surface impacts on subseasonal and seasonal predictability
This paper shows that realistically initialized land surface states enhance atmospheric predictability significantly out to two‐to‐three months during summer. The spatial structure of the impact of land initialization on atmospheric predictability can be explained by the simultaneous influence of so...
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Veröffentlicht in: | Geophysical research letters 2011-12, Vol.38 (24), p.n/a |
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description | This paper shows that realistically initialized land surface states enhance atmospheric predictability significantly out to two‐to‐three months during summer. The spatial structure of the impact of land initialization on atmospheric predictability can be explained by the simultaneous influence of soil moisture memory time and land surface‐evapotranspiration coupling strength. A proxy for this impact based on soil moisture and evaporation anomalies is proposed. The results also show that the impact of the land surface on atmospheric predictability varies with season: enhancement of predictability is relatively small during boreal spring and autumn, and reaches a maximum during boreal summer. Remarkably, the predictability of atmospheric temperature and precipitation increases with lead time from spring to summer. This increase is diagnosed as a “transfer” of predictability from land to atmosphere: during spring, the soil moisture predictability is high, but this predictability does not impact the atmosphere due to lack of land‐atmosphere coupling; during summer, the coupling increases, thereby transferring the predictability from land to atmosphere.
Key Points
Realistically initialized land surface states enhance atmospheric predictability
The impact of the land surface on atmospheric predictability varies with season
New mechanisms to explain the temporal evolution of land impacts |
doi_str_mv | 10.1029/2011GL049945 |
format | Article |
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Key Points
Realistically initialized land surface states enhance atmospheric predictability
The impact of the land surface on atmospheric predictability varies with season
New mechanisms to explain the temporal evolution of land impacts</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2011GL049945</identifier><identifier>CODEN: GPRLAJ</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>Atmosphere ; Atmospheric sciences ; Atmospheric temperature ; Earth sciences ; Earth, ocean, space ; Evaporation ; Evapotranspiration ; Exact sciences and technology ; land-atmosphere interaction ; Soil moisture ; Spring ; subseasonal and seasonal predictability ; Summer</subject><ispartof>Geophysical research letters, 2011-12, Vol.38 (24), p.n/a</ispartof><rights>2011 by the American Geophysical Union</rights><rights>2015 INIST-CNRS</rights><rights>Copyright 2011 by American Geophysical Union</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3746-9090c2c27d13ba206281cc9c86a773498f29efa7e8694dab7fe6aa25cf2233893</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2011GL049945$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2011GL049945$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,11514,27924,27925,45574,45575,46409,46468,46833,46892</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28094147$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, Zhichang</creatorcontrib><creatorcontrib>Dirmeyer, Paul A.</creatorcontrib><creatorcontrib>DelSole, Tim</creatorcontrib><title>Land surface impacts on subseasonal and seasonal predictability</title><title>Geophysical research letters</title><addtitle>Geophys. Res. Lett</addtitle><description>This paper shows that realistically initialized land surface states enhance atmospheric predictability significantly out to two‐to‐three months during summer. The spatial structure of the impact of land initialization on atmospheric predictability can be explained by the simultaneous influence of soil moisture memory time and land surface‐evapotranspiration coupling strength. A proxy for this impact based on soil moisture and evaporation anomalies is proposed. The results also show that the impact of the land surface on atmospheric predictability varies with season: enhancement of predictability is relatively small during boreal spring and autumn, and reaches a maximum during boreal summer. Remarkably, the predictability of atmospheric temperature and precipitation increases with lead time from spring to summer. This increase is diagnosed as a “transfer” of predictability from land to atmosphere: during spring, the soil moisture predictability is high, but this predictability does not impact the atmosphere due to lack of land‐atmosphere coupling; during summer, the coupling increases, thereby transferring the predictability from land to atmosphere.
Key Points
Realistically initialized land surface states enhance atmospheric predictability
The impact of the land surface on atmospheric predictability varies with season
New mechanisms to explain the temporal evolution of land impacts</description><subject>Atmosphere</subject><subject>Atmospheric sciences</subject><subject>Atmospheric temperature</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Evaporation</subject><subject>Evapotranspiration</subject><subject>Exact sciences and technology</subject><subject>land-atmosphere interaction</subject><subject>Soil moisture</subject><subject>Spring</subject><subject>subseasonal and seasonal predictability</subject><subject>Summer</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><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>eNpNkEtLw0AUhQdRsFZ3_oAguIzOK_NYiRSN2vigKF0ON5MJpKZJnEnR_nujrcXVfX3ncDkInRJ8QTDVlxQTkmaYa82TPTQimvNYYSz30QhjPfRUikN0FMICY8wwIyN0lUFTRGHlS7AuqpYd2D5EbTOs8uAgtA3U0S_yN3TeFZXtIa_qql8fo4MS6uBOtnWM3m5vXid3cfac3k-us9gyyUWsscaWWioLwnKgWFBFrNVWCZCSca1Kql0J0imheQG5LJ0AoIktKWVMaTZGZxvfzrcfKxd6s2hXfvgnGE14IqRQfIDOtxAEC3XpobFVMJ2vluDXhqohBMLlwNEN91nVbr27E2x-YjT_YzTpLKNKCjGI4o2oCr372onAvxshmUzM_Ck1Dy9z8TidzcyUfQMeVXSz</recordid><startdate>20111228</startdate><enddate>20111228</enddate><creator>Guo, Zhichang</creator><creator>Dirmeyer, Paul A.</creator><creator>DelSole, Tim</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><general>John Wiley & Sons, Inc</general><scope>BSCLL</scope><scope>IQODW</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</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>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</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>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20111228</creationdate><title>Land surface impacts on subseasonal and seasonal predictability</title><author>Guo, Zhichang ; Dirmeyer, Paul A. ; DelSole, Tim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3746-9090c2c27d13ba206281cc9c86a773498f29efa7e8694dab7fe6aa25cf2233893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Atmosphere</topic><topic>Atmospheric sciences</topic><topic>Atmospheric temperature</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Evaporation</topic><topic>Evapotranspiration</topic><topic>Exact sciences and technology</topic><topic>land-atmosphere interaction</topic><topic>Soil moisture</topic><topic>Spring</topic><topic>subseasonal and seasonal predictability</topic><topic>Summer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Zhichang</creatorcontrib><creatorcontrib>Dirmeyer, Paul A.</creatorcontrib><creatorcontrib>DelSole, Tim</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</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>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</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>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Engineering 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Zhichang</au><au>Dirmeyer, Paul A.</au><au>DelSole, Tim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Land surface impacts on subseasonal and seasonal predictability</atitle><jtitle>Geophysical research letters</jtitle><addtitle>Geophys. Res. Lett</addtitle><date>2011-12-28</date><risdate>2011</risdate><volume>38</volume><issue>24</issue><epage>n/a</epage><issn>0094-8276</issn><eissn>1944-8007</eissn><coden>GPRLAJ</coden><abstract>This paper shows that realistically initialized land surface states enhance atmospheric predictability significantly out to two‐to‐three months during summer. The spatial structure of the impact of land initialization on atmospheric predictability can be explained by the simultaneous influence of soil moisture memory time and land surface‐evapotranspiration coupling strength. A proxy for this impact based on soil moisture and evaporation anomalies is proposed. The results also show that the impact of the land surface on atmospheric predictability varies with season: enhancement of predictability is relatively small during boreal spring and autumn, and reaches a maximum during boreal summer. Remarkably, the predictability of atmospheric temperature and precipitation increases with lead time from spring to summer. This increase is diagnosed as a “transfer” of predictability from land to atmosphere: during spring, the soil moisture predictability is high, but this predictability does not impact the atmosphere due to lack of land‐atmosphere coupling; during summer, the coupling increases, thereby transferring the predictability from land to atmosphere.
Key Points
Realistically initialized land surface states enhance atmospheric predictability
The impact of the land surface on atmospheric predictability varies with season
New mechanisms to explain the temporal evolution of land impacts</abstract><cop>Washington, DC</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2011GL049945</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Atmosphere Atmospheric sciences Atmospheric temperature Earth sciences Earth, ocean, space Evaporation Evapotranspiration Exact sciences and technology land-atmosphere interaction Soil moisture Spring subseasonal and seasonal predictability Summer |
title | Land surface impacts on subseasonal and seasonal predictability |
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