A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean

A recently launched project under the auspices of the World Climate Research Program’s (WCRP) Coordinated Regional Downscaling Experiments Flagship Pilot Studies program (CORDEX-FPS) is presented. This initiative aims to build first-of-its-kind ensemble climate experiments of convection permitting m...

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Veröffentlicht in:Climate dynamics 2020-07, Vol.55 (1-2), p.3-34
Hauptverfasser: Coppola, Erika, Sobolowski, Stefan, Pichelli, E., Raffaele, F., Ahrens, B., Anders, I., Ban, N., Bastin, S., Belda, M., Belusic, D., Caldas-Alvarez, A., Cardoso, R. M., Davolio, S., Dobler, A., Fernandez, J., Fita, L., Fumiere, Q., Giorgi, F., Goergen, K., Güttler, I., Halenka, T., Heinzeller, D., Hodnebrog, Ø., Jacob, D., Kartsios, S., Katragkou, E., Kendon, E., Khodayar, S., Kunstmann, H., Knist, S., Lavín-Gullón, A., Lind, P., Lorenz, T., Maraun, D., Marelle, L., van Meijgaard, E., Milovac, J., Myhre, G., Panitz, H.-J., Piazza, M., Raffa, M., Raub, T., Rockel, B., Schär, C., Sieck, K., Soares, P. M. M., Somot, S., Srnec, L., Stocchi, P., Tölle, M. H., Truhetz, H., Vautard, R., de Vries, H., Warrach-Sagi, K.
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container_end_page 34
container_issue 1-2
container_start_page 3
container_title Climate dynamics
container_volume 55
creator Coppola, Erika
Sobolowski, Stefan
Pichelli, E.
Raffaele, F.
Ahrens, B.
Anders, I.
Ban, N.
Bastin, S.
Belda, M.
Belusic, D.
Caldas-Alvarez, A.
Cardoso, R. M.
Davolio, S.
Dobler, A.
Fernandez, J.
Fita, L.
Fumiere, Q.
Giorgi, F.
Goergen, K.
Güttler, I.
Halenka, T.
Heinzeller, D.
Hodnebrog, Ø.
Jacob, D.
Kartsios, S.
Katragkou, E.
Kendon, E.
Khodayar, S.
Kunstmann, H.
Knist, S.
Lavín-Gullón, A.
Lind, P.
Lorenz, T.
Maraun, D.
Marelle, L.
van Meijgaard, E.
Milovac, J.
Myhre, G.
Panitz, H.-J.
Piazza, M.
Raffa, M.
Raub, T.
Rockel, B.
Schär, C.
Sieck, K.
Soares, P. M. M.
Somot, S.
Srnec, L.
Stocchi, P.
Tölle, M. H.
Truhetz, H.
Vautard, R.
de Vries, H.
Warrach-Sagi, K.
description A recently launched project under the auspices of the World Climate Research Program’s (WCRP) Coordinated Regional Downscaling Experiments Flagship Pilot Studies program (CORDEX-FPS) is presented. This initiative aims to build first-of-its-kind ensemble climate experiments of convection permitting models to investigate present and future convective processes and related extremes over Europe and the Mediterranean. In this manuscript the rationale, scientific aims and approaches are presented along with some preliminary results from the testing phase of the project. Three test cases were selected in order to obtain a first look at the ensemble performance. The test cases covered a summertime extreme precipitation event over Austria, a fall Foehn event over the Swiss Alps and an intensively documented fall event along the Mediterranean coast. The test cases were run in both “weather-like” (WL, initialized just before the event in question) and “climate” (CM, initialized 1 month before the event) modes. Ensembles of 18–21 members, representing six different modeling systems with different physics and modelling chain options, was generated for the test cases (27 modeling teams have committed to perform the longer climate simulations). Results indicate that, when run in WL mode, the ensemble captures all three events quite well with ensemble correlation skill scores of 0.67, 0.82 and 0.91. They suggest that the more the event is driven by large-scale conditions, the closer the agreement between the ensemble members. Even in climate mode the large-scale driven events over the Swiss Alps and the Mediterranean coasts are still captured (ensemble correlation skill scores of 0.90 and 0.62, respectively), but the inter-model spread increases as expected. In the case over Mediterranean the effects of local-scale interactions between flow and orography and land–ocean contrasts are readily apparent. However, there is a much larger, though not surprising, increase in the spread for the Austrian event, which was weakly forced by the large-scale flow. Though the ensemble correlation skill score is still quite high (0.80). The preliminary results illustrate both the promise and the challenges that convection permitting modeling faces and make a strong argument for an ensemble-based approach to investigating high impact convective processes.
doi_str_mv 10.1007/s00382-018-4521-8
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M. ; Davolio, S. ; Dobler, A. ; Fernandez, J. ; Fita, L. ; Fumiere, Q. ; Giorgi, F. ; Goergen, K. ; Güttler, I. ; Halenka, T. ; Heinzeller, D. ; Hodnebrog, Ø. ; Jacob, D. ; Kartsios, S. ; Katragkou, E. ; Kendon, E. ; Khodayar, S. ; Kunstmann, H. ; Knist, S. ; Lavín-Gullón, A. ; Lind, P. ; Lorenz, T. ; Maraun, D. ; Marelle, L. ; van Meijgaard, E. ; Milovac, J. ; Myhre, G. ; Panitz, H.-J. ; Piazza, M. ; Raffa, M. ; Raub, T. ; Rockel, B. ; Schär, C. ; Sieck, K. ; Soares, P. M. M. ; Somot, S. ; Srnec, L. ; Stocchi, P. ; Tölle, M. H. ; Truhetz, H. ; Vautard, R. ; de Vries, H. ; Warrach-Sagi, K.</creator><creatorcontrib>Coppola, Erika ; Sobolowski, Stefan ; Pichelli, E. ; Raffaele, F. ; Ahrens, B. ; Anders, I. ; Ban, N. ; Bastin, S. ; Belda, M. ; Belusic, D. ; Caldas-Alvarez, A. ; Cardoso, R. M. ; Davolio, S. ; Dobler, A. ; Fernandez, J. ; Fita, L. ; Fumiere, Q. ; Giorgi, F. ; Goergen, K. ; Güttler, I. ; Halenka, T. ; Heinzeller, D. ; Hodnebrog, Ø. ; Jacob, D. ; Kartsios, S. ; Katragkou, E. ; Kendon, E. ; Khodayar, S. ; Kunstmann, H. ; Knist, S. ; Lavín-Gullón, A. ; Lind, P. ; Lorenz, T. ; Maraun, D. ; Marelle, L. ; van Meijgaard, E. ; Milovac, J. ; Myhre, G. ; Panitz, H.-J. ; Piazza, M. ; Raffa, M. ; Raub, T. ; Rockel, B. ; Schär, C. ; Sieck, K. ; Soares, P. M. M. ; Somot, S. ; Srnec, L. ; Stocchi, P. ; Tölle, M. H. ; Truhetz, H. ; Vautard, R. ; de Vries, H. ; Warrach-Sagi, K.</creatorcontrib><description>A recently launched project under the auspices of the World Climate Research Program’s (WCRP) Coordinated Regional Downscaling Experiments Flagship Pilot Studies program (CORDEX-FPS) is presented. This initiative aims to build first-of-its-kind ensemble climate experiments of convection permitting models to investigate present and future convective processes and related extremes over Europe and the Mediterranean. In this manuscript the rationale, scientific aims and approaches are presented along with some preliminary results from the testing phase of the project. Three test cases were selected in order to obtain a first look at the ensemble performance. The test cases covered a summertime extreme precipitation event over Austria, a fall Foehn event over the Swiss Alps and an intensively documented fall event along the Mediterranean coast. The test cases were run in both “weather-like” (WL, initialized just before the event in question) and “climate” (CM, initialized 1 month before the event) modes. Ensembles of 18–21 members, representing six different modeling systems with different physics and modelling chain options, was generated for the test cases (27 modeling teams have committed to perform the longer climate simulations). Results indicate that, when run in WL mode, the ensemble captures all three events quite well with ensemble correlation skill scores of 0.67, 0.82 and 0.91. They suggest that the more the event is driven by large-scale conditions, the closer the agreement between the ensemble members. Even in climate mode the large-scale driven events over the Swiss Alps and the Mediterranean coasts are still captured (ensemble correlation skill scores of 0.90 and 0.62, respectively), but the inter-model spread increases as expected. In the case over Mediterranean the effects of local-scale interactions between flow and orography and land–ocean contrasts are readily apparent. However, there is a much larger, though not surprising, increase in the spread for the Austrian event, which was weakly forced by the large-scale flow. Though the ensemble correlation skill score is still quite high (0.80). The preliminary results illustrate both the promise and the challenges that convection permitting modeling faces and make a strong argument for an ensemble-based approach to investigating high impact convective processes.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-018-4521-8</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Atmospheric and Oceanic Physics ; Austria ; Climate ; Climate models ; Climatology ; Coastal environments ; Computer simulation ; Convection ; Correlation ; Correlation analysis ; Earth and Environmental Science ; Earth Sciences ; Extreme weather ; Foehn ; Geophysics/Geodesy ; Global climate ; Interactions ; Mediterranean region ; Modelling ; Oceanography ; Orography ; Physics ; Precipitation ; Research programmes ; research programs ; Sciences of the Universe ; summer</subject><ispartof>Climate dynamics, 2020-07, Vol.55 (1-2), p.3-34</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018.</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-c488t-9630d414669d4afd84b9aa14f5320e509ca1636e2e6068fc45dd26f22b56cb2c3</citedby><cites>FETCH-LOGICAL-c488t-9630d414669d4afd84b9aa14f5320e509ca1636e2e6068fc45dd26f22b56cb2c3</cites><orcidid>0000-0001-6944-5815 ; 0000-0003-4925-0046 ; 0000-0003-1951-6798 ; 0000-0002-6452-3180 ; 0000-0002-5066-2921</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/s00382-018-4521-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-018-4521-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://insu.hal.science/insu-01923722$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Coppola, Erika</creatorcontrib><creatorcontrib>Sobolowski, Stefan</creatorcontrib><creatorcontrib>Pichelli, E.</creatorcontrib><creatorcontrib>Raffaele, F.</creatorcontrib><creatorcontrib>Ahrens, B.</creatorcontrib><creatorcontrib>Anders, I.</creatorcontrib><creatorcontrib>Ban, N.</creatorcontrib><creatorcontrib>Bastin, S.</creatorcontrib><creatorcontrib>Belda, M.</creatorcontrib><creatorcontrib>Belusic, D.</creatorcontrib><creatorcontrib>Caldas-Alvarez, A.</creatorcontrib><creatorcontrib>Cardoso, R. M.</creatorcontrib><creatorcontrib>Davolio, S.</creatorcontrib><creatorcontrib>Dobler, A.</creatorcontrib><creatorcontrib>Fernandez, J.</creatorcontrib><creatorcontrib>Fita, L.</creatorcontrib><creatorcontrib>Fumiere, Q.</creatorcontrib><creatorcontrib>Giorgi, F.</creatorcontrib><creatorcontrib>Goergen, K.</creatorcontrib><creatorcontrib>Güttler, I.</creatorcontrib><creatorcontrib>Halenka, T.</creatorcontrib><creatorcontrib>Heinzeller, D.</creatorcontrib><creatorcontrib>Hodnebrog, Ø.</creatorcontrib><creatorcontrib>Jacob, D.</creatorcontrib><creatorcontrib>Kartsios, S.</creatorcontrib><creatorcontrib>Katragkou, E.</creatorcontrib><creatorcontrib>Kendon, E.</creatorcontrib><creatorcontrib>Khodayar, S.</creatorcontrib><creatorcontrib>Kunstmann, H.</creatorcontrib><creatorcontrib>Knist, S.</creatorcontrib><creatorcontrib>Lavín-Gullón, A.</creatorcontrib><creatorcontrib>Lind, P.</creatorcontrib><creatorcontrib>Lorenz, T.</creatorcontrib><creatorcontrib>Maraun, D.</creatorcontrib><creatorcontrib>Marelle, L.</creatorcontrib><creatorcontrib>van Meijgaard, E.</creatorcontrib><creatorcontrib>Milovac, J.</creatorcontrib><creatorcontrib>Myhre, G.</creatorcontrib><creatorcontrib>Panitz, H.-J.</creatorcontrib><creatorcontrib>Piazza, M.</creatorcontrib><creatorcontrib>Raffa, M.</creatorcontrib><creatorcontrib>Raub, T.</creatorcontrib><creatorcontrib>Rockel, B.</creatorcontrib><creatorcontrib>Schär, C.</creatorcontrib><creatorcontrib>Sieck, K.</creatorcontrib><creatorcontrib>Soares, P. M. M.</creatorcontrib><creatorcontrib>Somot, S.</creatorcontrib><creatorcontrib>Srnec, L.</creatorcontrib><creatorcontrib>Stocchi, P.</creatorcontrib><creatorcontrib>Tölle, M. H.</creatorcontrib><creatorcontrib>Truhetz, H.</creatorcontrib><creatorcontrib>Vautard, R.</creatorcontrib><creatorcontrib>de Vries, H.</creatorcontrib><creatorcontrib>Warrach-Sagi, K.</creatorcontrib><title>A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>A recently launched project under the auspices of the World Climate Research Program’s (WCRP) Coordinated Regional Downscaling Experiments Flagship Pilot Studies program (CORDEX-FPS) is presented. This initiative aims to build first-of-its-kind ensemble climate experiments of convection permitting models to investigate present and future convective processes and related extremes over Europe and the Mediterranean. In this manuscript the rationale, scientific aims and approaches are presented along with some preliminary results from the testing phase of the project. Three test cases were selected in order to obtain a first look at the ensemble performance. The test cases covered a summertime extreme precipitation event over Austria, a fall Foehn event over the Swiss Alps and an intensively documented fall event along the Mediterranean coast. The test cases were run in both “weather-like” (WL, initialized just before the event in question) and “climate” (CM, initialized 1 month before the event) modes. Ensembles of 18–21 members, representing six different modeling systems with different physics and modelling chain options, was generated for the test cases (27 modeling teams have committed to perform the longer climate simulations). Results indicate that, when run in WL mode, the ensemble captures all three events quite well with ensemble correlation skill scores of 0.67, 0.82 and 0.91. They suggest that the more the event is driven by large-scale conditions, the closer the agreement between the ensemble members. Even in climate mode the large-scale driven events over the Swiss Alps and the Mediterranean coasts are still captured (ensemble correlation skill scores of 0.90 and 0.62, respectively), but the inter-model spread increases as expected. In the case over Mediterranean the effects of local-scale interactions between flow and orography and land–ocean contrasts are readily apparent. However, there is a much larger, though not surprising, increase in the spread for the Austrian event, which was weakly forced by the large-scale flow. Though the ensemble correlation skill score is still quite high (0.80). The preliminary results illustrate both the promise and the challenges that convection permitting modeling faces and make a strong argument for an ensemble-based approach to investigating high impact convective processes.</description><subject>Atmospheric and Oceanic Physics</subject><subject>Austria</subject><subject>Climate</subject><subject>Climate models</subject><subject>Climatology</subject><subject>Coastal environments</subject><subject>Computer simulation</subject><subject>Convection</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Extreme weather</subject><subject>Foehn</subject><subject>Geophysics/Geodesy</subject><subject>Global climate</subject><subject>Interactions</subject><subject>Mediterranean region</subject><subject>Modelling</subject><subject>Oceanography</subject><subject>Orography</subject><subject>Physics</subject><subject>Precipitation</subject><subject>Research programmes</subject><subject>research programs</subject><subject>Sciences of the Universe</subject><subject>summer</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1ktuKFDEQhhtRcFx9AO8CgqiQNUmn0-nLYVndhRHBw3XIdFdmsnYnY5Ie9Al8bWtsTytILgKV709V_VVV9Zizc85Y-zIzVmtBGddUNoJTfadacVljRHfybrViXc1o27TN_epBzjeMcalasaq-rYnzKRcaHfUl008-DGSax-LpFAcYSR_DEfriYyAHSJMvxYcdgZBh2o5AXEzEI5GL39kfT78ERyCHPYQ4QbAkHiGRyznFAxCLGcoeyBsYfIGUbAAbHlb3nB0zPPp5n1UfX11-uLiim7evry_WG9pLrQvtVM0GibWrbpDWDVpuO2u5dE0tGDSs6y1XtQIBiintetkMg1BOiG2j-q3o67PqxfLv3o7mkPxk01cTrTdX643xIc-G8U7UrRBHjvCzBT6k-HnGHs3kcw_jiCXHORvRtGgxGqkQffIPehPnFLAVI3gtuOik0EidL9TOjoDpXCzJ9ngGmDwaB85jfK1Eq3F4skXB81sCZAp8KTs752yu37-7zT79i92DHcs-x3E-zS7fBvkC9inmnMD9NoIzc9oms2wTWqHNaZvMqXKxaDKyYQfpT3__F30HqMHL2Q</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Coppola, Erika</creator><creator>Sobolowski, Stefan</creator><creator>Pichelli, E.</creator><creator>Raffaele, F.</creator><creator>Ahrens, B.</creator><creator>Anders, I.</creator><creator>Ban, N.</creator><creator>Bastin, S.</creator><creator>Belda, M.</creator><creator>Belusic, D.</creator><creator>Caldas-Alvarez, A.</creator><creator>Cardoso, R. 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M. ; Davolio, S. ; Dobler, A. ; Fernandez, J. ; Fita, L. ; Fumiere, Q. ; Giorgi, F. ; Goergen, K. ; Güttler, I. ; Halenka, T. ; Heinzeller, D. ; Hodnebrog, Ø. ; Jacob, D. ; Kartsios, S. ; Katragkou, E. ; Kendon, E. ; Khodayar, S. ; Kunstmann, H. ; Knist, S. ; Lavín-Gullón, A. ; Lind, P. ; Lorenz, T. ; Maraun, D. ; Marelle, L. ; van Meijgaard, E. ; Milovac, J. ; Myhre, G. ; Panitz, H.-J. ; Piazza, M. ; Raffa, M. ; Raub, T. ; Rockel, B. ; Schär, C. ; Sieck, K. ; Soares, P. M. M. ; Somot, S. ; Srnec, L. ; Stocchi, P. ; Tölle, M. H. ; Truhetz, H. ; Vautard, R. ; de Vries, H. ; Warrach-Sagi, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c488t-9630d414669d4afd84b9aa14f5320e509ca1636e2e6068fc45dd26f22b56cb2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Atmospheric and Oceanic Physics</topic><topic>Austria</topic><topic>Climate</topic><topic>Climate models</topic><topic>Climatology</topic><topic>Coastal environments</topic><topic>Computer simulation</topic><topic>Convection</topic><topic>Correlation</topic><topic>Correlation analysis</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Extreme weather</topic><topic>Foehn</topic><topic>Geophysics/Geodesy</topic><topic>Global climate</topic><topic>Interactions</topic><topic>Mediterranean region</topic><topic>Modelling</topic><topic>Oceanography</topic><topic>Orography</topic><topic>Physics</topic><topic>Precipitation</topic><topic>Research programmes</topic><topic>research programs</topic><topic>Sciences of the Universe</topic><topic>summer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Coppola, Erika</creatorcontrib><creatorcontrib>Sobolowski, Stefan</creatorcontrib><creatorcontrib>Pichelli, E.</creatorcontrib><creatorcontrib>Raffaele, F.</creatorcontrib><creatorcontrib>Ahrens, B.</creatorcontrib><creatorcontrib>Anders, I.</creatorcontrib><creatorcontrib>Ban, N.</creatorcontrib><creatorcontrib>Bastin, S.</creatorcontrib><creatorcontrib>Belda, M.</creatorcontrib><creatorcontrib>Belusic, D.</creatorcontrib><creatorcontrib>Caldas-Alvarez, A.</creatorcontrib><creatorcontrib>Cardoso, R. M.</creatorcontrib><creatorcontrib>Davolio, S.</creatorcontrib><creatorcontrib>Dobler, A.</creatorcontrib><creatorcontrib>Fernandez, J.</creatorcontrib><creatorcontrib>Fita, L.</creatorcontrib><creatorcontrib>Fumiere, Q.</creatorcontrib><creatorcontrib>Giorgi, F.</creatorcontrib><creatorcontrib>Goergen, K.</creatorcontrib><creatorcontrib>Güttler, I.</creatorcontrib><creatorcontrib>Halenka, T.</creatorcontrib><creatorcontrib>Heinzeller, D.</creatorcontrib><creatorcontrib>Hodnebrog, Ø.</creatorcontrib><creatorcontrib>Jacob, D.</creatorcontrib><creatorcontrib>Kartsios, S.</creatorcontrib><creatorcontrib>Katragkou, E.</creatorcontrib><creatorcontrib>Kendon, E.</creatorcontrib><creatorcontrib>Khodayar, S.</creatorcontrib><creatorcontrib>Kunstmann, H.</creatorcontrib><creatorcontrib>Knist, S.</creatorcontrib><creatorcontrib>Lavín-Gullón, A.</creatorcontrib><creatorcontrib>Lind, P.</creatorcontrib><creatorcontrib>Lorenz, T.</creatorcontrib><creatorcontrib>Maraun, D.</creatorcontrib><creatorcontrib>Marelle, L.</creatorcontrib><creatorcontrib>van Meijgaard, E.</creatorcontrib><creatorcontrib>Milovac, J.</creatorcontrib><creatorcontrib>Myhre, G.</creatorcontrib><creatorcontrib>Panitz, H.-J.</creatorcontrib><creatorcontrib>Piazza, M.</creatorcontrib><creatorcontrib>Raffa, M.</creatorcontrib><creatorcontrib>Raub, T.</creatorcontrib><creatorcontrib>Rockel, B.</creatorcontrib><creatorcontrib>Schär, C.</creatorcontrib><creatorcontrib>Sieck, K.</creatorcontrib><creatorcontrib>Soares, P. M. M.</creatorcontrib><creatorcontrib>Somot, S.</creatorcontrib><creatorcontrib>Srnec, L.</creatorcontrib><creatorcontrib>Stocchi, P.</creatorcontrib><creatorcontrib>Tölle, M. H.</creatorcontrib><creatorcontrib>Truhetz, H.</creatorcontrib><creatorcontrib>Vautard, R.</creatorcontrib><creatorcontrib>de Vries, H.</creatorcontrib><creatorcontrib>Warrach-Sagi, K.</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</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>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 &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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>Military Database</collection><collection>Science Database</collection><collection>Environmental Science Database</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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Climate dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Coppola, Erika</au><au>Sobolowski, Stefan</au><au>Pichelli, E.</au><au>Raffaele, F.</au><au>Ahrens, B.</au><au>Anders, I.</au><au>Ban, N.</au><au>Bastin, S.</au><au>Belda, M.</au><au>Belusic, D.</au><au>Caldas-Alvarez, A.</au><au>Cardoso, R. M.</au><au>Davolio, S.</au><au>Dobler, A.</au><au>Fernandez, J.</au><au>Fita, L.</au><au>Fumiere, Q.</au><au>Giorgi, F.</au><au>Goergen, K.</au><au>Güttler, I.</au><au>Halenka, T.</au><au>Heinzeller, D.</au><au>Hodnebrog, Ø.</au><au>Jacob, D.</au><au>Kartsios, S.</au><au>Katragkou, E.</au><au>Kendon, E.</au><au>Khodayar, S.</au><au>Kunstmann, H.</au><au>Knist, S.</au><au>Lavín-Gullón, A.</au><au>Lind, P.</au><au>Lorenz, T.</au><au>Maraun, D.</au><au>Marelle, L.</au><au>van Meijgaard, E.</au><au>Milovac, J.</au><au>Myhre, G.</au><au>Panitz, H.-J.</au><au>Piazza, M.</au><au>Raffa, M.</au><au>Raub, T.</au><au>Rockel, B.</au><au>Schär, C.</au><au>Sieck, K.</au><au>Soares, P. M. M.</au><au>Somot, S.</au><au>Srnec, L.</au><au>Stocchi, P.</au><au>Tölle, M. H.</au><au>Truhetz, H.</au><au>Vautard, R.</au><au>de Vries, H.</au><au>Warrach-Sagi, K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean</atitle><jtitle>Climate dynamics</jtitle><stitle>Clim Dyn</stitle><date>2020-07-01</date><risdate>2020</risdate><volume>55</volume><issue>1-2</issue><spage>3</spage><epage>34</epage><pages>3-34</pages><issn>0930-7575</issn><eissn>1432-0894</eissn><abstract>A recently launched project under the auspices of the World Climate Research Program’s (WCRP) Coordinated Regional Downscaling Experiments Flagship Pilot Studies program (CORDEX-FPS) is presented. This initiative aims to build first-of-its-kind ensemble climate experiments of convection permitting models to investigate present and future convective processes and related extremes over Europe and the Mediterranean. In this manuscript the rationale, scientific aims and approaches are presented along with some preliminary results from the testing phase of the project. Three test cases were selected in order to obtain a first look at the ensemble performance. The test cases covered a summertime extreme precipitation event over Austria, a fall Foehn event over the Swiss Alps and an intensively documented fall event along the Mediterranean coast. The test cases were run in both “weather-like” (WL, initialized just before the event in question) and “climate” (CM, initialized 1 month before the event) modes. Ensembles of 18–21 members, representing six different modeling systems with different physics and modelling chain options, was generated for the test cases (27 modeling teams have committed to perform the longer climate simulations). Results indicate that, when run in WL mode, the ensemble captures all three events quite well with ensemble correlation skill scores of 0.67, 0.82 and 0.91. They suggest that the more the event is driven by large-scale conditions, the closer the agreement between the ensemble members. Even in climate mode the large-scale driven events over the Swiss Alps and the Mediterranean coasts are still captured (ensemble correlation skill scores of 0.90 and 0.62, respectively), but the inter-model spread increases as expected. In the case over Mediterranean the effects of local-scale interactions between flow and orography and land–ocean contrasts are readily apparent. However, there is a much larger, though not surprising, increase in the spread for the Austrian event, which was weakly forced by the large-scale flow. Though the ensemble correlation skill score is still quite high (0.80). The preliminary results illustrate both the promise and the challenges that convection permitting modeling faces and make a strong argument for an ensemble-based approach to investigating high impact convective processes.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-018-4521-8</doi><tpages>32</tpages><orcidid>https://orcid.org/0000-0001-6944-5815</orcidid><orcidid>https://orcid.org/0000-0003-4925-0046</orcidid><orcidid>https://orcid.org/0000-0003-1951-6798</orcidid><orcidid>https://orcid.org/0000-0002-6452-3180</orcidid><orcidid>https://orcid.org/0000-0002-5066-2921</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 0930-7575
ispartof Climate dynamics, 2020-07, Vol.55 (1-2), p.3-34
issn 0930-7575
1432-0894
language eng
recordid cdi_hal_primary_oai_HAL_insu_01923722v1
source Springer Nature - Complete Springer Journals
subjects Atmospheric and Oceanic Physics
Austria
Climate
Climate models
Climatology
Coastal environments
Computer simulation
Convection
Correlation
Correlation analysis
Earth and Environmental Science
Earth Sciences
Extreme weather
Foehn
Geophysics/Geodesy
Global climate
Interactions
Mediterranean region
Modelling
Oceanography
Orography
Physics
Precipitation
Research programmes
research programs
Sciences of the Universe
summer
title A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean
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