Performance of RegCM4 simulations over Croatia and adjacent climate regions
We investigate the impact of horizontal resolution, convection parameterization and lateral boundary conditions on the ability of a regional climate model ‐ RegCM4 to simulate the observed temperature and precipitation climatology over Croatia and surrounding regions. An ensemble of RegCM4 simulatio...
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Veröffentlicht in: | International journal of climatology 2020-11, Vol.40 (14), p.5843-5862 |
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creator | Güttler, Ivan Stilinović, Tomislav Srnec, Lidija Branković, Čedo Coppola, Erika Giorgi, Filippo |
description | We investigate the impact of horizontal resolution, convection parameterization and lateral boundary conditions on the ability of a regional climate model ‐ RegCM4 to simulate the observed temperature and precipitation climatology over Croatia and surrounding regions. An ensemble of RegCM4 simulations over Europe has been generated including two resolutions (50 and 12.5 km), two different deep convection schemes and different boundary conditions (a reanalysis and four global climate models). Using two observational data sets (with and without the undercatch correction) shows that the magnitude of RegCM4 errors in winter precipitation also depends on observational uncertainty. While the mean precipitation amounts in high‐resolution simulations are generally overestimated in the cold part of the year, low‐resolution RegCM4 simulations are comparable to most of other EURO‐CORDEX models. When forced by ERA‐Interim, RegCM4 performs relatively poorly in reproducing temporal correlations against observations, but performs well in terms of spatial correlation. Whereas precipitation amounts from high‐resolution simulations need further improvements, the RegCM4 skill in simulating near‐surface temperature is high and well suited for impact studies.
Our experiments using RegCM4 show that different convection schemes and horizontal resolutions can both improve and deteriorate different aspects of model performance. No model configuration was clearly superior to the others. This result points out the difficulty of selecting an optimal model configuration for a given region, an exercise which requires careful experimentation. |
doi_str_mv | 10.1002/joc.6552 |
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Our experiments using RegCM4 show that different convection schemes and horizontal resolutions can both improve and deteriorate different aspects of model performance. No model configuration was clearly superior to the others. This result points out the difficulty of selecting an optimal model configuration for a given region, an exercise which requires careful experimentation.</description><identifier>ISSN: 0899-8418</identifier><identifier>EISSN: 1097-0088</identifier><identifier>DOI: 10.1002/joc.6552</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Boundary conditions ; Climate ; Climatology ; Convection ; Correlation ; EURO‐CORDEX ; Global climate ; Global climate models ; Mean precipitation ; model evaluation ; Parameterization ; Precipitation ; RegCM4 ; Regional climate models ; Regional climates ; Regions ; Resolution ; Simulation ; Surface temperature ; Winter precipitation</subject><ispartof>International journal of climatology, 2020-11, Vol.40 (14), p.5843-5862</ispartof><rights>2020 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2082-cafd418ea25fd0a0e2cfcde69bdd929efc04b13d3282a5b08a0a6cadad1bcd013</citedby><cites>FETCH-LOGICAL-c2082-cafd418ea25fd0a0e2cfcde69bdd929efc04b13d3282a5b08a0a6cadad1bcd013</cites><orcidid>0000-0002-9189-5510</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjoc.6552$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjoc.6552$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27923,27924,45573,45574</link.rule.ids></links><search><creatorcontrib>Güttler, Ivan</creatorcontrib><creatorcontrib>Stilinović, Tomislav</creatorcontrib><creatorcontrib>Srnec, Lidija</creatorcontrib><creatorcontrib>Branković, Čedo</creatorcontrib><creatorcontrib>Coppola, Erika</creatorcontrib><creatorcontrib>Giorgi, Filippo</creatorcontrib><title>Performance of RegCM4 simulations over Croatia and adjacent climate regions</title><title>International journal of climatology</title><description>We investigate the impact of horizontal resolution, convection parameterization and lateral boundary conditions on the ability of a regional climate model ‐ RegCM4 to simulate the observed temperature and precipitation climatology over Croatia and surrounding regions. An ensemble of RegCM4 simulations over Europe has been generated including two resolutions (50 and 12.5 km), two different deep convection schemes and different boundary conditions (a reanalysis and four global climate models). Using two observational data sets (with and without the undercatch correction) shows that the magnitude of RegCM4 errors in winter precipitation also depends on observational uncertainty. While the mean precipitation amounts in high‐resolution simulations are generally overestimated in the cold part of the year, low‐resolution RegCM4 simulations are comparable to most of other EURO‐CORDEX models. When forced by ERA‐Interim, RegCM4 performs relatively poorly in reproducing temporal correlations against observations, but performs well in terms of spatial correlation. Whereas precipitation amounts from high‐resolution simulations need further improvements, the RegCM4 skill in simulating near‐surface temperature is high and well suited for impact studies.
Our experiments using RegCM4 show that different convection schemes and horizontal resolutions can both improve and deteriorate different aspects of model performance. No model configuration was clearly superior to the others. This result points out the difficulty of selecting an optimal model configuration for a given region, an exercise which requires careful experimentation.</description><subject>Boundary conditions</subject><subject>Climate</subject><subject>Climatology</subject><subject>Convection</subject><subject>Correlation</subject><subject>EURO‐CORDEX</subject><subject>Global climate</subject><subject>Global climate models</subject><subject>Mean precipitation</subject><subject>model evaluation</subject><subject>Parameterization</subject><subject>Precipitation</subject><subject>RegCM4</subject><subject>Regional climate models</subject><subject>Regional climates</subject><subject>Regions</subject><subject>Resolution</subject><subject>Simulation</subject><subject>Surface temperature</subject><subject>Winter precipitation</subject><issn>0899-8418</issn><issn>1097-0088</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp10N9LwzAQB_AgCs4p-CcEfPGl85K1XfIoReePyUT0uVyTy2jpmpl0yv57O-erT8fB5-6-HGOXAiYCQN403kzyLJNHbCRAzxIApY7ZCJTWiUqFOmVnMTYAoLXIR-z5lYLzYY2dIe4df6NV8ZLyWK-3Lfa17yL3XxR4EfzQIsfOcrQNGup6btp6jT3xQKu9PGcnDttIF391zD7u796Lh2SxnD8Wt4vESFAyMejsEIRQZs4CAknjjKVcV9ZqqckZSCsxtVOpJGYVKATMDVq0ojIWxHTMrg57N8F_bin2ZeO3oRtOljLNNMxmUsCgrg_KBB9jIFduwhA37EoB5f5Vw5Qp968aaHKg33VLu39d-bQsfv0PG-hrKw</recordid><startdate>20201130</startdate><enddate>20201130</enddate><creator>Güttler, Ivan</creator><creator>Stilinović, Tomislav</creator><creator>Srnec, Lidija</creator><creator>Branković, Čedo</creator><creator>Coppola, Erika</creator><creator>Giorgi, Filippo</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-9189-5510</orcidid></search><sort><creationdate>20201130</creationdate><title>Performance of RegCM4 simulations over Croatia and adjacent climate regions</title><author>Güttler, Ivan ; Stilinović, Tomislav ; Srnec, Lidija ; Branković, Čedo ; Coppola, Erika ; Giorgi, Filippo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2082-cafd418ea25fd0a0e2cfcde69bdd929efc04b13d3282a5b08a0a6cadad1bcd013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Boundary conditions</topic><topic>Climate</topic><topic>Climatology</topic><topic>Convection</topic><topic>Correlation</topic><topic>EURO‐CORDEX</topic><topic>Global climate</topic><topic>Global climate models</topic><topic>Mean precipitation</topic><topic>model evaluation</topic><topic>Parameterization</topic><topic>Precipitation</topic><topic>RegCM4</topic><topic>Regional climate models</topic><topic>Regional climates</topic><topic>Regions</topic><topic>Resolution</topic><topic>Simulation</topic><topic>Surface temperature</topic><topic>Winter precipitation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Güttler, Ivan</creatorcontrib><creatorcontrib>Stilinović, Tomislav</creatorcontrib><creatorcontrib>Srnec, Lidija</creatorcontrib><creatorcontrib>Branković, Čedo</creatorcontrib><creatorcontrib>Coppola, Erika</creatorcontrib><creatorcontrib>Giorgi, Filippo</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>International journal of climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Güttler, Ivan</au><au>Stilinović, Tomislav</au><au>Srnec, Lidija</au><au>Branković, Čedo</au><au>Coppola, Erika</au><au>Giorgi, Filippo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance of RegCM4 simulations over Croatia and adjacent climate regions</atitle><jtitle>International journal of climatology</jtitle><date>2020-11-30</date><risdate>2020</risdate><volume>40</volume><issue>14</issue><spage>5843</spage><epage>5862</epage><pages>5843-5862</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>We investigate the impact of horizontal resolution, convection parameterization and lateral boundary conditions on the ability of a regional climate model ‐ RegCM4 to simulate the observed temperature and precipitation climatology over Croatia and surrounding regions. An ensemble of RegCM4 simulations over Europe has been generated including two resolutions (50 and 12.5 km), two different deep convection schemes and different boundary conditions (a reanalysis and four global climate models). Using two observational data sets (with and without the undercatch correction) shows that the magnitude of RegCM4 errors in winter precipitation also depends on observational uncertainty. While the mean precipitation amounts in high‐resolution simulations are generally overestimated in the cold part of the year, low‐resolution RegCM4 simulations are comparable to most of other EURO‐CORDEX models. When forced by ERA‐Interim, RegCM4 performs relatively poorly in reproducing temporal correlations against observations, but performs well in terms of spatial correlation. Whereas precipitation amounts from high‐resolution simulations need further improvements, the RegCM4 skill in simulating near‐surface temperature is high and well suited for impact studies.
Our experiments using RegCM4 show that different convection schemes and horizontal resolutions can both improve and deteriorate different aspects of model performance. No model configuration was clearly superior to the others. This result points out the difficulty of selecting an optimal model configuration for a given region, an exercise which requires careful experimentation.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/joc.6552</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-9189-5510</orcidid></addata></record> |
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subjects | Boundary conditions Climate Climatology Convection Correlation EURO‐CORDEX Global climate Global climate models Mean precipitation model evaluation Parameterization Precipitation RegCM4 Regional climate models Regional climates Regions Resolution Simulation Surface temperature Winter precipitation |
title | Performance of RegCM4 simulations over Croatia and adjacent climate regions |
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