Domain choice in an experimental nested modeling prediction system for South America

The purposes of this paper are to evaluate the new version of the regional model, RegCM3, over South America for two test seasons, and to select a domain for use in an experimental nested prediction system, which incorporates RegCM3 and the European Community-Hamburg (ECHAM) general circulation mode...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Theoretical and applied climatology 2006-09, Vol.86 (1-4), p.229-246
Hauptverfasser: Rauscher, S. A., Seth, A., Qian, J.-H., Camargo, S. J.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 246
container_issue 1-4
container_start_page 229
container_title Theoretical and applied climatology
container_volume 86
creator Rauscher, S. A.
Seth, A.
Qian, J.-H.
Camargo, S. J.
description The purposes of this paper are to evaluate the new version of the regional model, RegCM3, over South America for two test seasons, and to select a domain for use in an experimental nested prediction system, which incorporates RegCM3 and the European Community-Hamburg (ECHAM) general circulation model (GCM). To evaluate RegCM3, control experiments were completed with RegCM3 driven by both the NCEP/NCAR Reanalysis (NNRP) and ECHAM, using a small control domain (D-CTRL) and integration periods of January-March 1983 (El Nino) and January-March 1985 (La Nina). The new version of the regional model captures the primary circulation and rainfall differences between the two years over tropical and subtropical South America. Both the NNRP-driven and ECHAM-driven RegCM3 improve the simulation of the Atlantic intertropical convergence zone (ITCZ) compared to the GCM. However, there are some simulation errors. Irrespective of the driving fields, weak northeasterlies associated with reduced precipitation are observed over the Amazon. The simulation of the South Atlantic convergence zone is poor due to errors in the boundary condition forcing which appear to be amplified by the regional model. To select a domain for use in an experimental prediction system, sensitivity tests were performed for three domains, each of which includes important regional features and processes of the climate system. The domain sensitivity experiments were designed to determine how domain size and the location of the GCM boundary forcing affect the regional circulation, moisture transport, and rainfall in two years with different large scale conditions. First, the control domain was extended southward to include the exit region of the Andes low level jet (D-LLJ), then eastward to include the South Atlantic subtropical high (D-ATL), and finally westward to include the subsidence region of the South Pacific subtropical high and to permit the regional model more freedom to respond to the increased resolution of the Andes Mountains (D-PAC). In order to quantify differences between the domain experiments, measures of bias, root mean square error, and the spatial correlation pattern were calculated between the model results and the observed data for the seasonal average fields. The results show the GCM driving fields have remarkable control over the RegCM3 simulations. Although no single domain clearly outperforms the others in both seasons, the control domain, D-CTRL, compares most favorably with o
doi_str_mv 10.1007/s00704-006-0206-z
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_205242280</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1118276461</sourcerecordid><originalsourceid>FETCH-LOGICAL-c272t-5ca31b96b0eff70051798b39af5165fff833390c89357d9cb07fbaef2f7e795a3</originalsourceid><addsrcrecordid>eNotkE1PwzAMhiMEEmPwA7hF3ANO0jTNcRqf0iQODIlblKYJ67Q2JWkltl9PpnGxLfm1_fpB6JbCPQWQDykHKAhASYDlcDhDM1rwghRFxc_RDKiURKrq6xJdpbQFAFaWcobWj6EzbY_tJrTW4VyZHrvfwcW2c_1odrh3aXQN7kLjdm3_jYfomtaObehx2udWh32I-CNM4wYvujxnzTW68GaX3M1_nqPP56f18pWs3l_elosVsUyykQhrOK1VWYPzXgIImg3WXBkvaCm89xXnXIGtFBeyUbYG6WvjPPPSSSUMn6O7094hhp8p-9TbMMU-n9QMBCsYqyCL6ElkY0gpOq-H_JuJe01BH9npEzud2ekjO33gfzbWYuA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>205242280</pqid></control><display><type>article</type><title>Domain choice in an experimental nested modeling prediction system for South America</title><source>SpringerLink Journals - AutoHoldings</source><creator>Rauscher, S. A. ; Seth, A. ; Qian, J.-H. ; Camargo, S. J.</creator><creatorcontrib>Rauscher, S. A. ; Seth, A. ; Qian, J.-H. ; Camargo, S. J.</creatorcontrib><description>The purposes of this paper are to evaluate the new version of the regional model, RegCM3, over South America for two test seasons, and to select a domain for use in an experimental nested prediction system, which incorporates RegCM3 and the European Community-Hamburg (ECHAM) general circulation model (GCM). To evaluate RegCM3, control experiments were completed with RegCM3 driven by both the NCEP/NCAR Reanalysis (NNRP) and ECHAM, using a small control domain (D-CTRL) and integration periods of January-March 1983 (El Nino) and January-March 1985 (La Nina). The new version of the regional model captures the primary circulation and rainfall differences between the two years over tropical and subtropical South America. Both the NNRP-driven and ECHAM-driven RegCM3 improve the simulation of the Atlantic intertropical convergence zone (ITCZ) compared to the GCM. However, there are some simulation errors. Irrespective of the driving fields, weak northeasterlies associated with reduced precipitation are observed over the Amazon. The simulation of the South Atlantic convergence zone is poor due to errors in the boundary condition forcing which appear to be amplified by the regional model. To select a domain for use in an experimental prediction system, sensitivity tests were performed for three domains, each of which includes important regional features and processes of the climate system. The domain sensitivity experiments were designed to determine how domain size and the location of the GCM boundary forcing affect the regional circulation, moisture transport, and rainfall in two years with different large scale conditions. First, the control domain was extended southward to include the exit region of the Andes low level jet (D-LLJ), then eastward to include the South Atlantic subtropical high (D-ATL), and finally westward to include the subsidence region of the South Pacific subtropical high and to permit the regional model more freedom to respond to the increased resolution of the Andes Mountains (D-PAC). In order to quantify differences between the domain experiments, measures of bias, root mean square error, and the spatial correlation pattern were calculated between the model results and the observed data for the seasonal average fields. The results show the GCM driving fields have remarkable control over the RegCM3 simulations. Although no single domain clearly outperforms the others in both seasons, the control domain, D-CTRL, compares most favorably with observations. Over the ITCZ region, the simulations were improved by including a large portion of the South Atlantic subtropical high (D-ATL). The methodology presented here provides a quantitative basis for evaluating domain choice in future studies. [PUBLICATION ABSTRACT]</description><identifier>ISSN: 0177-798X</identifier><identifier>EISSN: 1434-4483</identifier><identifier>DOI: 10.1007/s00704-006-0206-z</identifier><language>eng</language><publisher>Wien: Springer Nature B.V</publisher><subject>Atmospheric circulation ; Boundary conditions ; Climate system ; El Nino ; Errors ; Experiments ; Intertropical convergence zone ; La Nina ; Mountains ; Rain ; Sensitivity analysis ; Simulation ; Wind</subject><ispartof>Theoretical and applied climatology, 2006-09, Vol.86 (1-4), p.229-246</ispartof><rights>Springer-Verlag 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c272t-5ca31b96b0eff70051798b39af5165fff833390c89357d9cb07fbaef2f7e795a3</citedby><cites>FETCH-LOGICAL-c272t-5ca31b96b0eff70051798b39af5165fff833390c89357d9cb07fbaef2f7e795a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Rauscher, S. A.</creatorcontrib><creatorcontrib>Seth, A.</creatorcontrib><creatorcontrib>Qian, J.-H.</creatorcontrib><creatorcontrib>Camargo, S. J.</creatorcontrib><title>Domain choice in an experimental nested modeling prediction system for South America</title><title>Theoretical and applied climatology</title><description>The purposes of this paper are to evaluate the new version of the regional model, RegCM3, over South America for two test seasons, and to select a domain for use in an experimental nested prediction system, which incorporates RegCM3 and the European Community-Hamburg (ECHAM) general circulation model (GCM). To evaluate RegCM3, control experiments were completed with RegCM3 driven by both the NCEP/NCAR Reanalysis (NNRP) and ECHAM, using a small control domain (D-CTRL) and integration periods of January-March 1983 (El Nino) and January-March 1985 (La Nina). The new version of the regional model captures the primary circulation and rainfall differences between the two years over tropical and subtropical South America. Both the NNRP-driven and ECHAM-driven RegCM3 improve the simulation of the Atlantic intertropical convergence zone (ITCZ) compared to the GCM. However, there are some simulation errors. Irrespective of the driving fields, weak northeasterlies associated with reduced precipitation are observed over the Amazon. The simulation of the South Atlantic convergence zone is poor due to errors in the boundary condition forcing which appear to be amplified by the regional model. To select a domain for use in an experimental prediction system, sensitivity tests were performed for three domains, each of which includes important regional features and processes of the climate system. The domain sensitivity experiments were designed to determine how domain size and the location of the GCM boundary forcing affect the regional circulation, moisture transport, and rainfall in two years with different large scale conditions. First, the control domain was extended southward to include the exit region of the Andes low level jet (D-LLJ), then eastward to include the South Atlantic subtropical high (D-ATL), and finally westward to include the subsidence region of the South Pacific subtropical high and to permit the regional model more freedom to respond to the increased resolution of the Andes Mountains (D-PAC). In order to quantify differences between the domain experiments, measures of bias, root mean square error, and the spatial correlation pattern were calculated between the model results and the observed data for the seasonal average fields. The results show the GCM driving fields have remarkable control over the RegCM3 simulations. Although no single domain clearly outperforms the others in both seasons, the control domain, D-CTRL, compares most favorably with observations. Over the ITCZ region, the simulations were improved by including a large portion of the South Atlantic subtropical high (D-ATL). The methodology presented here provides a quantitative basis for evaluating domain choice in future studies. [PUBLICATION ABSTRACT]</description><subject>Atmospheric circulation</subject><subject>Boundary conditions</subject><subject>Climate system</subject><subject>El Nino</subject><subject>Errors</subject><subject>Experiments</subject><subject>Intertropical convergence zone</subject><subject>La Nina</subject><subject>Mountains</subject><subject>Rain</subject><subject>Sensitivity analysis</subject><subject>Simulation</subject><subject>Wind</subject><issn>0177-798X</issn><issn>1434-4483</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</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>eNotkE1PwzAMhiMEEmPwA7hF3ANO0jTNcRqf0iQODIlblKYJ67Q2JWkltl9PpnGxLfm1_fpB6JbCPQWQDykHKAhASYDlcDhDM1rwghRFxc_RDKiURKrq6xJdpbQFAFaWcobWj6EzbY_tJrTW4VyZHrvfwcW2c_1odrh3aXQN7kLjdm3_jYfomtaObehx2udWh32I-CNM4wYvujxnzTW68GaX3M1_nqPP56f18pWs3l_elosVsUyykQhrOK1VWYPzXgIImg3WXBkvaCm89xXnXIGtFBeyUbYG6WvjPPPSSSUMn6O7094hhp8p-9TbMMU-n9QMBCsYqyCL6ElkY0gpOq-H_JuJe01BH9npEzud2ekjO33gfzbWYuA</recordid><startdate>20060901</startdate><enddate>20060901</enddate><creator>Rauscher, S. A.</creator><creator>Seth, A.</creator><creator>Qian, J.-H.</creator><creator>Camargo, S. J.</creator><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</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>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20060901</creationdate><title>Domain choice in an experimental nested modeling prediction system for South America</title><author>Rauscher, S. A. ; Seth, A. ; Qian, J.-H. ; Camargo, S. J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c272t-5ca31b96b0eff70051798b39af5165fff833390c89357d9cb07fbaef2f7e795a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Atmospheric circulation</topic><topic>Boundary conditions</topic><topic>Climate system</topic><topic>El Nino</topic><topic>Errors</topic><topic>Experiments</topic><topic>Intertropical convergence zone</topic><topic>La Nina</topic><topic>Mountains</topic><topic>Rain</topic><topic>Sensitivity analysis</topic><topic>Simulation</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rauscher, S. A.</creatorcontrib><creatorcontrib>Seth, A.</creatorcontrib><creatorcontrib>Qian, J.-H.</creatorcontrib><creatorcontrib>Camargo, S. J.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; 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 &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Earth, Atmospheric &amp; 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>ProQuest Central Basic</collection><jtitle>Theoretical and applied climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rauscher, S. A.</au><au>Seth, A.</au><au>Qian, J.-H.</au><au>Camargo, S. J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Domain choice in an experimental nested modeling prediction system for South America</atitle><jtitle>Theoretical and applied climatology</jtitle><date>2006-09-01</date><risdate>2006</risdate><volume>86</volume><issue>1-4</issue><spage>229</spage><epage>246</epage><pages>229-246</pages><issn>0177-798X</issn><eissn>1434-4483</eissn><abstract>The purposes of this paper are to evaluate the new version of the regional model, RegCM3, over South America for two test seasons, and to select a domain for use in an experimental nested prediction system, which incorporates RegCM3 and the European Community-Hamburg (ECHAM) general circulation model (GCM). To evaluate RegCM3, control experiments were completed with RegCM3 driven by both the NCEP/NCAR Reanalysis (NNRP) and ECHAM, using a small control domain (D-CTRL) and integration periods of January-March 1983 (El Nino) and January-March 1985 (La Nina). The new version of the regional model captures the primary circulation and rainfall differences between the two years over tropical and subtropical South America. Both the NNRP-driven and ECHAM-driven RegCM3 improve the simulation of the Atlantic intertropical convergence zone (ITCZ) compared to the GCM. However, there are some simulation errors. Irrespective of the driving fields, weak northeasterlies associated with reduced precipitation are observed over the Amazon. The simulation of the South Atlantic convergence zone is poor due to errors in the boundary condition forcing which appear to be amplified by the regional model. To select a domain for use in an experimental prediction system, sensitivity tests were performed for three domains, each of which includes important regional features and processes of the climate system. The domain sensitivity experiments were designed to determine how domain size and the location of the GCM boundary forcing affect the regional circulation, moisture transport, and rainfall in two years with different large scale conditions. First, the control domain was extended southward to include the exit region of the Andes low level jet (D-LLJ), then eastward to include the South Atlantic subtropical high (D-ATL), and finally westward to include the subsidence region of the South Pacific subtropical high and to permit the regional model more freedom to respond to the increased resolution of the Andes Mountains (D-PAC). In order to quantify differences between the domain experiments, measures of bias, root mean square error, and the spatial correlation pattern were calculated between the model results and the observed data for the seasonal average fields. The results show the GCM driving fields have remarkable control over the RegCM3 simulations. Although no single domain clearly outperforms the others in both seasons, the control domain, D-CTRL, compares most favorably with observations. Over the ITCZ region, the simulations were improved by including a large portion of the South Atlantic subtropical high (D-ATL). The methodology presented here provides a quantitative basis for evaluating domain choice in future studies. [PUBLICATION ABSTRACT]</abstract><cop>Wien</cop><pub>Springer Nature B.V</pub><doi>10.1007/s00704-006-0206-z</doi><tpages>18</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0177-798X
ispartof Theoretical and applied climatology, 2006-09, Vol.86 (1-4), p.229-246
issn 0177-798X
1434-4483
language eng
recordid cdi_proquest_journals_205242280
source SpringerLink Journals - AutoHoldings
subjects Atmospheric circulation
Boundary conditions
Climate system
El Nino
Errors
Experiments
Intertropical convergence zone
La Nina
Mountains
Rain
Sensitivity analysis
Simulation
Wind
title Domain choice in an experimental nested modeling prediction system for South America
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T23%3A17%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Domain%20choice%20in%20an%20experimental%20nested%20modeling%20prediction%20system%20for%20South%20America&rft.jtitle=Theoretical%20and%20applied%20climatology&rft.au=Rauscher,%20S.%20A.&rft.date=2006-09-01&rft.volume=86&rft.issue=1-4&rft.spage=229&rft.epage=246&rft.pages=229-246&rft.issn=0177-798X&rft.eissn=1434-4483&rft_id=info:doi/10.1007/s00704-006-0206-z&rft_dat=%3Cproquest_cross%3E1118276461%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=205242280&rft_id=info:pmid/&rfr_iscdi=true