Impact of the internal variability on the cyclone tracks simulated by a regional climate model over the Med-CORDEX domain
Regional climate models (RCMs) constitute a powerful tool to study and understand climate variability and change at local scales. Nevertheless, to correctly interpret regional climate simulations, a number of uncertainties need to be considered. In this study, we investigate the so-called Internal V...
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description | Regional climate models (RCMs) constitute a powerful tool to study and understand climate variability and change at local scales. Nevertheless, to correctly interpret regional climate simulations, a number of uncertainties need to be considered. In this study, we investigate the so-called Internal Variability (IV) of an RCM. The IV can be defined as the degree of irreproducibility in an RCM solution observed when it is conducted by the same lateral boundary conditions (LBCs) but initialised from different initial states. The main goal of this work is to investigate how the IV affects the cyclone tracks simulated by an RCM over a Mediterranean domain. For standard variables such as sea level pressure, 2 m temperature and precipitation, our results over the Mediterranean region are consistent with studies conducted over other geographical domains: the IV is stronger at the easternmost part of the domain, where the control exerted by the LBCs is weaker; the IV shows a strong seasonal dependence, reaching larger values in summer than in winter. We show here that the IV values associated with the density of cyclone tracks are much stronger than for the other documented variables, reaching more than 50 % of the estimated total variability. Concerning the cyclone characteristics, long travelling tracks are associated to a greatest IV. Within the latter cyclone category, the fast moving cyclones seems to exhibit also larger IV values. A secondary IV maximum is observed for static cyclones with short travelling distances (thermal lows) during the warm season. |
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Nevertheless, to correctly interpret regional climate simulations, a number of uncertainties need to be considered. In this study, we investigate the so-called Internal Variability (IV) of an RCM. The IV can be defined as the degree of irreproducibility in an RCM solution observed when it is conducted by the same lateral boundary conditions (LBCs) but initialised from different initial states. The main goal of this work is to investigate how the IV affects the cyclone tracks simulated by an RCM over a Mediterranean domain. For standard variables such as sea level pressure, 2 m temperature and precipitation, our results over the Mediterranean region are consistent with studies conducted over other geographical domains: the IV is stronger at the easternmost part of the domain, where the control exerted by the LBCs is weaker; the IV shows a strong seasonal dependence, reaching larger values in summer than in winter. We show here that the IV values associated with the density of cyclone tracks are much stronger than for the other documented variables, reaching more than 50 % of the estimated total variability. Concerning the cyclone characteristics, long travelling tracks are associated to a greatest IV. Within the latter cyclone category, the fast moving cyclones seems to exhibit also larger IV values. A secondary IV maximum is observed for static cyclones with short travelling distances (thermal lows) during the warm season.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-016-3394-y</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Boundary conditions ; Climate ; Climate change ; Climate models ; Climate variability ; Climatology ; Computer simulation ; Cyclone tracks ; Cyclones ; Dependence ; Earth and Environmental Science ; Earth Sciences ; Environmental aspects ; Geophysics/Geodesy ; Oceanography ; Precipitation ; Precipitation variability ; Regional climate models ; Regional climates ; Sea level ; Sea level pressure ; Thermal lows ; Tropical cyclones ; Variability ; Warm seasons</subject><ispartof>Climate dynamics, 2018-08, Vol.51 (3), p.1005-1021</ispartof><rights>The Author(s) 2016</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Climate Dynamics is a copyright of Springer, (2016). All Rights Reserved. © 2016. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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Nevertheless, to correctly interpret regional climate simulations, a number of uncertainties need to be considered. In this study, we investigate the so-called Internal Variability (IV) of an RCM. The IV can be defined as the degree of irreproducibility in an RCM solution observed when it is conducted by the same lateral boundary conditions (LBCs) but initialised from different initial states. The main goal of this work is to investigate how the IV affects the cyclone tracks simulated by an RCM over a Mediterranean domain. For standard variables such as sea level pressure, 2 m temperature and precipitation, our results over the Mediterranean region are consistent with studies conducted over other geographical domains: the IV is stronger at the easternmost part of the domain, where the control exerted by the LBCs is weaker; the IV shows a strong seasonal dependence, reaching larger values in summer than in winter. We show here that the IV values associated with the density of cyclone tracks are much stronger than for the other documented variables, reaching more than 50 % of the estimated total variability. Concerning the cyclone characteristics, long travelling tracks are associated to a greatest IV. Within the latter cyclone category, the fast moving cyclones seems to exhibit also larger IV values. A secondary IV maximum is observed for static cyclones with short travelling distances (thermal lows) during the warm season.</description><subject>Boundary conditions</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Climate variability</subject><subject>Climatology</subject><subject>Computer simulation</subject><subject>Cyclone tracks</subject><subject>Cyclones</subject><subject>Dependence</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental aspects</subject><subject>Geophysics/Geodesy</subject><subject>Oceanography</subject><subject>Precipitation</subject><subject>Precipitation variability</subject><subject>Regional climate models</subject><subject>Regional climates</subject><subject>Sea level</subject><subject>Sea level pressure</subject><subject>Thermal lows</subject><subject>Tropical cyclones</subject><subject>Variability</subject><subject>Warm seasons</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kUFr3DAQhU1podu0P6A3QaHQgxPJki35GLZpu5ASSHPoTcjSeFepbG0lOcT_vnJcSPdQdBC8-d7Am1cU7wk-Jxjzi4gxFVWJSVNS2rJyflFsCKNZES17WWxwS3HJa16_Lt7EeI8xYQ2vNsW8G45KJ-R7lA6A7JggjMqhBxWs6qyzaUZ-fJrpWTs_AkpB6V8RRTtMTiUwqJuRQgH21i9O7eyQZTR4Aw75BwhP7u9gyu3N7eern8j4QdnxbfGqVy7Cu7__WXH35epu-628vvm6215el5o1NJVtZ3ojtMCEtNRgVRkmQPAKgxA958zUUEHTtaaiWjPaqa4D0fekYrrltKZnxYd17TH43xPEJO_9tESMssKc4JY0mGfqfKX2yoG0Y--XlPkZGKzOqXub9cuaNUIQ3ixrP50YMpPgMe3VFKPc_bg9ZT_-wx5AuXSI3k0pHyyegmQFdfAxBujlMeRjhlkSLJea5VqzzDXLpWY5Z0-1emJmxz2E53z_N_0B6_-qBw</recordid><startdate>20180801</startdate><enddate>20180801</enddate><creator>Sanchez-Gomez, Emilia</creator><creator>Somot, Samuel</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><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></search><sort><creationdate>20180801</creationdate><title>Impact of the internal variability on the cyclone tracks simulated by a regional climate model over the Med-CORDEX domain</title><author>Sanchez-Gomez, Emilia ; Somot, Samuel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c463t-9bdfd8c801193d0a2d48e8720e88f774d5e2e6b9d23cc43babbe8ff124c97353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Boundary conditions</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Climate variability</topic><topic>Climatology</topic><topic>Computer simulation</topic><topic>Cyclone tracks</topic><topic>Cyclones</topic><topic>Dependence</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental aspects</topic><topic>Geophysics/Geodesy</topic><topic>Oceanography</topic><topic>Precipitation</topic><topic>Precipitation variability</topic><topic>Regional climate models</topic><topic>Regional climates</topic><topic>Sea level</topic><topic>Sea level pressure</topic><topic>Thermal lows</topic><topic>Tropical cyclones</topic><topic>Variability</topic><topic>Warm seasons</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanchez-Gomez, Emilia</creatorcontrib><creatorcontrib>Somot, Samuel</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 One Sustainability</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><jtitle>Climate dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanchez-Gomez, Emilia</au><au>Somot, Samuel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of the internal variability on the cyclone tracks simulated by a regional climate model over the Med-CORDEX domain</atitle><jtitle>Climate dynamics</jtitle><stitle>Clim Dyn</stitle><date>2018-08-01</date><risdate>2018</risdate><volume>51</volume><issue>3</issue><spage>1005</spage><epage>1021</epage><pages>1005-1021</pages><issn>0930-7575</issn><eissn>1432-0894</eissn><abstract>Regional climate models (RCMs) constitute a powerful tool to study and understand climate variability and change at local scales. 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We show here that the IV values associated with the density of cyclone tracks are much stronger than for the other documented variables, reaching more than 50 % of the estimated total variability. Concerning the cyclone characteristics, long travelling tracks are associated to a greatest IV. Within the latter cyclone category, the fast moving cyclones seems to exhibit also larger IV values. A secondary IV maximum is observed for static cyclones with short travelling distances (thermal lows) during the warm season.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-016-3394-y</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Boundary conditions Climate Climate change Climate models Climate variability Climatology Computer simulation Cyclone tracks Cyclones Dependence Earth and Environmental Science Earth Sciences Environmental aspects Geophysics/Geodesy Oceanography Precipitation Precipitation variability Regional climate models Regional climates Sea level Sea level pressure Thermal lows Tropical cyclones Variability Warm seasons |
title | Impact of the internal variability on the cyclone tracks simulated by a regional climate model over the Med-CORDEX domain |
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