European marginal seas in a regional atmosphere–ocean coupled model and their impact on Vb-cyclones and associated precipitation
Vb-cyclones are extratropical cyclones propagating from the Western Mediterranean Sea and traveling across the Eastern Alps into the Baltic region. With these cyclones, extreme precipitation over Central Europe potentially triggers significant flood events. Understanding the prediction ability of Vb...
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description | Vb-cyclones are extratropical cyclones propagating from the Western Mediterranean Sea and traveling across the Eastern Alps into the Baltic region. With these cyclones, extreme precipitation over Central Europe potentially triggers significant flood events. Understanding the prediction ability of Vb-cyclones would lower risks from adverse impacts. This study analyzes the robustness of an atmosphere–ocean regional coupled model, including interactive models for the Mediterranean Sea (MED) and North and Baltic Seas (NORDIC) in reproducing observed Vb-cyclone characteristics. We use the regional climate model (RCM) COSMO-CLM (CCLM) in stand-alone and coupled with the ocean model NEMO configurations for the EURO-CORDEX domain from 1979 to 2014, driven by the ERA-Interim reanalysis. Sea surface temperature (SST) is evaluated to demonstrate the stability and reliability of the coupled configurations. Compared to observations, simulated SSTs show biases (~ 1 °C), especially during winter and summer. Generally, all model configurations are able to replicate Vb-cyclones, their trajectories, and associated precipitation fields. Cyclone trajectories are comparably well simulated with the coupled models, as with the stand-alone simulation which is driven by the reanalysis SST in the MED and NORDIC seas. The cyclone intensity shows large deviations from reanalysis reference in the simulations with the interactive MED Sea, and smallest with CCLM. Precipitation characteristics are similarly simulated in the coupled and stand-alone (with reanalysis SST) simulations. The results suggest that our coupled RCM is useful for studying the impacts of highly resolved and interactively simulated SSTs on European extreme events and regional climate, a crucial prerequisite for understanding future climate conditions. |
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With these cyclones, extreme precipitation over Central Europe potentially triggers significant flood events. Understanding the prediction ability of Vb-cyclones would lower risks from adverse impacts. This study analyzes the robustness of an atmosphere–ocean regional coupled model, including interactive models for the Mediterranean Sea (MED) and North and Baltic Seas (NORDIC) in reproducing observed Vb-cyclone characteristics. We use the regional climate model (RCM) COSMO-CLM (CCLM) in stand-alone and coupled with the ocean model NEMO configurations for the EURO-CORDEX domain from 1979 to 2014, driven by the ERA-Interim reanalysis. Sea surface temperature (SST) is evaluated to demonstrate the stability and reliability of the coupled configurations. Compared to observations, simulated SSTs show biases (~ 1 °C), especially during winter and summer. Generally, all model configurations are able to replicate Vb-cyclones, their trajectories, and associated precipitation fields. Cyclone trajectories are comparably well simulated with the coupled models, as with the stand-alone simulation which is driven by the reanalysis SST in the MED and NORDIC seas. The cyclone intensity shows large deviations from reanalysis reference in the simulations with the interactive MED Sea, and smallest with CCLM. Precipitation characteristics are similarly simulated in the coupled and stand-alone (with reanalysis SST) simulations. The results suggest that our coupled RCM is useful for studying the impacts of highly resolved and interactively simulated SSTs on European extreme events and regional climate, a crucial prerequisite for understanding future climate conditions.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-019-04906-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analysis ; Atmosphere ; Atmospheric models ; Climate ; Climate models ; Climatic conditions ; Climatic extremes ; Climatology ; Computer simulation ; Configurations ; Cyclones ; Earth and Environmental Science ; Earth Sciences ; Extratropical cyclones ; Extreme weather ; Flood predictions ; Future climates ; Geophysics/Geodesy ; Marginal seas ; Ocean ; Ocean models ; Oceanography ; Oceans ; Precipitation ; Precipitation (Meteorology) ; Regional climate models ; Regional climates ; Reliability analysis ; Sciences of the Universe ; Sea surface ; Sea surface temperature ; Stability ; Stability analysis ; Surface temperature ; Trajectories</subject><ispartof>Climate dynamics, 2019-11, Vol.53 (9-10), p.5967-5984</ispartof><rights>The Author(s) 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Climate Dynamics is a copyright of Springer, (2019). All Rights Reserved. © 2019. 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>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c502t-b9f168bd493187368e19e7c1199c8252e3ce60be07d5b51684813f8a5628f6b53</citedby><cites>FETCH-LOGICAL-c502t-b9f168bd493187368e19e7c1199c8252e3ce60be07d5b51684813f8a5628f6b53</cites><orcidid>0000-0002-3422-6118 ; 0000-0002-6452-3180</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/s00382-019-04906-x$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-019-04906-x$$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://insu.hal.science/insu-03727014$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Akhtar, Naveed</creatorcontrib><creatorcontrib>Krug, Amelie</creatorcontrib><creatorcontrib>Brauch, Jennifer</creatorcontrib><creatorcontrib>Arsouze, Thomas</creatorcontrib><creatorcontrib>Dieterich, Christian</creatorcontrib><creatorcontrib>Ahrens, Bodo</creatorcontrib><title>European marginal seas in a regional atmosphere–ocean coupled model and their impact on Vb-cyclones and associated precipitation</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>Vb-cyclones are extratropical cyclones propagating from the Western Mediterranean Sea and traveling across the Eastern Alps into the Baltic region. With these cyclones, extreme precipitation over Central Europe potentially triggers significant flood events. Understanding the prediction ability of Vb-cyclones would lower risks from adverse impacts. This study analyzes the robustness of an atmosphere–ocean regional coupled model, including interactive models for the Mediterranean Sea (MED) and North and Baltic Seas (NORDIC) in reproducing observed Vb-cyclone characteristics. We use the regional climate model (RCM) COSMO-CLM (CCLM) in stand-alone and coupled with the ocean model NEMO configurations for the EURO-CORDEX domain from 1979 to 2014, driven by the ERA-Interim reanalysis. Sea surface temperature (SST) is evaluated to demonstrate the stability and reliability of the coupled configurations. Compared to observations, simulated SSTs show biases (~ 1 °C), especially during winter and summer. Generally, all model configurations are able to replicate Vb-cyclones, their trajectories, and associated precipitation fields. Cyclone trajectories are comparably well simulated with the coupled models, as with the stand-alone simulation which is driven by the reanalysis SST in the MED and NORDIC seas. The cyclone intensity shows large deviations from reanalysis reference in the simulations with the interactive MED Sea, and smallest with CCLM. Precipitation characteristics are similarly simulated in the coupled and stand-alone (with reanalysis SST) simulations. The results suggest that our coupled RCM is useful for studying the impacts of highly resolved and interactively simulated SSTs on European extreme events and regional climate, a crucial prerequisite for understanding future climate conditions.</description><subject>Analysis</subject><subject>Atmosphere</subject><subject>Atmospheric models</subject><subject>Climate</subject><subject>Climate models</subject><subject>Climatic conditions</subject><subject>Climatic extremes</subject><subject>Climatology</subject><subject>Computer simulation</subject><subject>Configurations</subject><subject>Cyclones</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Extratropical cyclones</subject><subject>Extreme weather</subject><subject>Flood predictions</subject><subject>Future climates</subject><subject>Geophysics/Geodesy</subject><subject>Marginal seas</subject><subject>Ocean</subject><subject>Ocean models</subject><subject>Oceanography</subject><subject>Oceans</subject><subject>Precipitation</subject><subject>Precipitation (Meteorology)</subject><subject>Regional climate models</subject><subject>Regional climates</subject><subject>Reliability analysis</subject><subject>Sciences of the Universe</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Stability</subject><subject>Stability analysis</subject><subject>Surface temperature</subject><subject>Trajectories</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</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>eNp9kt2K1TAUhYsoeBx9Aa8KgqDQcSfpT3p5GEZn4IDg321I0902Q09Tk3Q4cye-gm_ok7jPVNRzI7kI7Hxrk7VYSfKcwTkDqN4EACF5BqzOIK-hzA4Pkg3LBY1knT9MNlALyKqiKh4nT0K4AWB5WfFN8v1y8W5GPaV77Xs76TENqENqp1SnHnvrjiMd9y7MA3r8-e2HM0fcuGUesU33rkUCpjaNA1qf2v2sTUzdlH5pMnNnRjdhuH_XIThjdSTR7NHY2UYdaf_T5FGnx4DPft9nyee3l58urrLd-3fXF9tdZgrgMWvqjpWyafNaMFmJUiKrsTKM1bWRvOAoDJbQIFRt0RSE5pKJTuqi5LIrm0KcJa_XvYMe1ewtGb5TTlt1td0pO4VFgah4RcncMoJfrPDs3dcFQ1Q3bvGURVCclxSklIITdb5SvR6RdnQuem3otLi3hpx3lubbEujLwAWQ4NWJgJiIh9jrJQR1_fHDKfvyH3ZAPcYhuHE5ZhZOQb6CxrsQPHZ_3DFQx3qotR6K6qHu66EOJBKrKBA89ej_GvyP6hfkdr0e</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Akhtar, Naveed</creator><creator>Krug, Amelie</creator><creator>Brauch, Jennifer</creator><creator>Arsouze, Thomas</creator><creator>Dieterich, Christian</creator><creator>Ahrens, Bodo</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><general>Springer Verlag</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><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-3422-6118</orcidid><orcidid>https://orcid.org/0000-0002-6452-3180</orcidid></search><sort><creationdate>20191101</creationdate><title>European marginal seas in a regional atmosphere–ocean coupled model and their impact on Vb-cyclones and associated precipitation</title><author>Akhtar, Naveed ; 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With these cyclones, extreme precipitation over Central Europe potentially triggers significant flood events. Understanding the prediction ability of Vb-cyclones would lower risks from adverse impacts. This study analyzes the robustness of an atmosphere–ocean regional coupled model, including interactive models for the Mediterranean Sea (MED) and North and Baltic Seas (NORDIC) in reproducing observed Vb-cyclone characteristics. We use the regional climate model (RCM) COSMO-CLM (CCLM) in stand-alone and coupled with the ocean model NEMO configurations for the EURO-CORDEX domain from 1979 to 2014, driven by the ERA-Interim reanalysis. Sea surface temperature (SST) is evaluated to demonstrate the stability and reliability of the coupled configurations. Compared to observations, simulated SSTs show biases (~ 1 °C), especially during winter and summer. Generally, all model configurations are able to replicate Vb-cyclones, their trajectories, and associated precipitation fields. Cyclone trajectories are comparably well simulated with the coupled models, as with the stand-alone simulation which is driven by the reanalysis SST in the MED and NORDIC seas. The cyclone intensity shows large deviations from reanalysis reference in the simulations with the interactive MED Sea, and smallest with CCLM. Precipitation characteristics are similarly simulated in the coupled and stand-alone (with reanalysis SST) simulations. The results suggest that our coupled RCM is useful for studying the impacts of highly resolved and interactively simulated SSTs on European extreme events and regional climate, a crucial prerequisite for understanding future climate conditions.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-019-04906-x</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-3422-6118</orcidid><orcidid>https://orcid.org/0000-0002-6452-3180</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Atmosphere Atmospheric models Climate Climate models Climatic conditions Climatic extremes Climatology Computer simulation Configurations Cyclones Earth and Environmental Science Earth Sciences Extratropical cyclones Extreme weather Flood predictions Future climates Geophysics/Geodesy Marginal seas Ocean Ocean models Oceanography Oceans Precipitation Precipitation (Meteorology) Regional climate models Regional climates Reliability analysis Sciences of the Universe Sea surface Sea surface temperature Stability Stability analysis Surface temperature Trajectories |
title | European marginal seas in a regional atmosphere–ocean coupled model and their impact on Vb-cyclones and associated precipitation |
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