High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6

Robust projections and predictions of climate variability and change, particularly at regional scales, rely on the driving processes being represented with fidelity in model simulations. The role of enhanced horizontal resolution in improved process representation in all components of the climate sy...

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Published in:Geoscientific Model Development
Main Authors: Haarsma, Reindert J., Roberts, Malcolm J., Vidale, Pier L., Senior, Catherine A., Bellucci, Alessio, Bao, Qing, Chang, Ping, Corti, Susanna, Fuckar, Neven S., Guemas, Virginie, Hardenberg, Jost von, Hazeleger, Wilco, Kodama, Chihiro, Koenigk, Torben, Leung, L. Ruby, Lu, Jian, Luo, Jing-Jia, Mao, Jiafu, Mizielinski, Matthew S., Mizuta, Ryo, Nobre, Paulo, Satoh, Masaki, Scoccimarro, Enrico, Semmler, Tido, Small, Justin, von Storch, Jing-Song
Other Authors: Barcelona Supercomputing Center
Format: Article in Journal/Newspaper
Language:English
Published: European Geosciences Union (EGU) 2016
Subjects:
Online Access:http://hdl.handle.net/2117/97450
https://doi.org/10.5194/gmd-9-4185-2016
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institution Open Polar
collection Universitat Politècnica de Catalunya (UPC): Theses and Dissertations Online (TDX)
op_collection_id ftupcatalunya
language English
topic Àrees temàtiques de la UPC::Enginyeria biomèdica
Atmospheric circulation
Climate change
High-performance computing (HPC)
Coupled Model Intercomparison Project 6 (CMIP6)
High Resolution Model Intercomparison Project (HighResMIP)
World Climate Research Program (WCRP)
Circulació atmosfèrica
Canvis climàtics
spellingShingle Àrees temàtiques de la UPC::Enginyeria biomèdica
Atmospheric circulation
Climate change
High-performance computing (HPC)
Coupled Model Intercomparison Project 6 (CMIP6)
High Resolution Model Intercomparison Project (HighResMIP)
World Climate Research Program (WCRP)
Circulació atmosfèrica
Canvis climàtics
Haarsma, Reindert J.
Roberts, Malcolm J.
Vidale, Pier L.
Senior, Catherine A.
Bellucci, Alessio
Bao, Qing
Chang, Ping
Corti, Susanna
Fuckar, Neven S.
Guemas, Virginie
Hardenberg, Jost von
Hazeleger, Wilco
Kodama, Chihiro
Koenigk, Torben
Leung, L. Ruby
Lu, Jian
Luo, Jing-Jia
Mao, Jiafu
Mizielinski, Matthew S.
Mizuta, Ryo
Nobre, Paulo
Satoh, Masaki
Scoccimarro, Enrico
Semmler, Tido
Small, Justin
von Storch, Jing-Song
High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
topic_facet Àrees temàtiques de la UPC::Enginyeria biomèdica
Atmospheric circulation
Climate change
High-performance computing (HPC)
Coupled Model Intercomparison Project 6 (CMIP6)
High Resolution Model Intercomparison Project (HighResMIP)
World Climate Research Program (WCRP)
Circulació atmosfèrica
Canvis climàtics
description Robust projections and predictions of climate variability and change, particularly at regional scales, rely on the driving processes being represented with fidelity in model simulations. The role of enhanced horizontal resolution in improved process representation in all components of the climate system is of growing interest, particularly as some recent simulations suggest both the possibility of significant changes in large-scale aspects of circulation as well as improvements in small-scale processes and extremes. However, such high-resolution global simulations at climate timescales, with resolutions of at least 50 km in the atmosphere and 0.25° in the ocean, have been performed at relatively few research centres and generally without overall coordination, primarily due to their computational cost. Assessing the robustness of the response of simulated climate to model resolution requires a large multi-model ensemble using a coordinated set of experiments. The Coupled Model Intercomparison Project 6 (CMIP6) is the ideal framework within which to conduct such a study, due to the strong link to models being developed for the CMIP DECK experiments and other model intercomparison projects (MIPs). Increases in high-performance computing (HPC) resources, as well as the revised experimental design for CMIP6, now enable a detailed investigation of the impact of increased resolution up to synoptic weather scales on the simulated mean climate and its variability. The High Resolution Model Intercomparison Project (HighResMIP) presented in this paper applies, for the first time, a multi-model approach to the systematic investigation of the impact of horizontal resolution. A coordinated set of experiments has been designed to assess both a standard and an enhanced horizontal-resolution simulation in the atmosphere and ocean. The set of HighResMIP experiments is divided into three tiers consisting of atmosphere-only and coupled runs and spanning the period 1950–2050, with the possibility of extending to 2100, together with some additional targeted experiments. This paper describes the experimental set-up of HighResMIP, the analysis plan, the connection with the other CMIP6 endorsed MIPs, as well as the DECK and CMIP6 historical simulations. HighResMIP thereby focuses on one of the CMIP6 broad questions, “what are the origins and consequences of systematic model biases?”, but we also discuss how it addresses the World Climate Research Program (WCRP) grand challenges. PRIMAVERA project members (Malcolm J. Roberts, Reindert J. Haarsma, Pier Luigi Vidale, Torben Koenigk, Virginie Guemas, Susanna Corti, Jost von Hardenberg, Jin-Song von Storch,Wilco Hazeleger, Catherine A. Senior, Matthew S. Mizielinsky, Tido Semmler, Alessio Bellucci, Enrico Scoccimarro, Neven S. Fuckar) acknowledge funding received from the European Commission under grant agreement 641727 of the Horizon 2020 research programme. Chihiro Kodama acknowledges Y. Yamada, M. Nakano, T. Nasuno, T. Miyakawa, and H. Miura for analysis ideas. Neven S. Fuckar acknowledges support of the Juan de la Ciervaincorporación postdoctoral fellowship from the Ministry of Economy and Competitiveness of Spain. L. Ruby Leung and Jian Lu acknowledge support from the U.S. Department of Energy Office of Science Biological and Environmental Research as part of the Regional and Global Climate Modeling Program. The Pacific Northwest National Laboratory is operated for the DOE by Battelle Memorial Institute under contract DE-AC05-76RLO1830. Jiafu Mao is supported by the Biogeochemistry-Climate Feedbacks Scientific Focus Area project funded through the Regional and Global Climate Modeling Program in Climate and Environmental Sciences Division (CESD) of the Biological and Environmental Research (BER) Program in the U.S. Department of Energy Office of Science. Oak Ridge National Laboratory is managed by UTBATTELLE for the DOE under contract DE-AC05-00OR22725. Paulo Nobre acknowledges support from CNPq grant nos. 573797/2008-0 and 490237/2011-8, and FAPESP grant no. 2008/57719-9. Chihiro Kodama and Masaki Satoh are supported by the Program for Risk Information on Climate Change (SOSEI) and the FLAGSHIP2020 within the priority study4 (Advancement of meteorological and global environmental predictions utilizing observational “Big Data”), which are promoted by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. Ping Chang is supported by US National Science Foundation grants AGS-1462127 and AGS-1067937, and National Oceanic and Atmospheric Administration grant NA11OAR4310154, as well as by China’s National Basic Research Priorities Programme (2013CB956204 and 2014CB745000). We thank Martin Juckes and his team for all their work on the HighResMIP and CMIP6 data request. Nick Rayner and John Kennedy for allowing early access to the HadISST2 daily, 1/4º SST and sea-ice dataset. Mark Ringer and Mark Webb for ideas for the targeted CFMIP-style experiment. Francois Massonnet for discussions on high-resolution modelling and sea ice. Peer Reviewed Postprint (published version)
author2 Barcelona Supercomputing Center
format Article in Journal/Newspaper
author Haarsma, Reindert J.
Roberts, Malcolm J.
Vidale, Pier L.
Senior, Catherine A.
Bellucci, Alessio
Bao, Qing
Chang, Ping
Corti, Susanna
Fuckar, Neven S.
Guemas, Virginie
Hardenberg, Jost von
Hazeleger, Wilco
Kodama, Chihiro
Koenigk, Torben
Leung, L. Ruby
Lu, Jian
Luo, Jing-Jia
Mao, Jiafu
Mizielinski, Matthew S.
Mizuta, Ryo
Nobre, Paulo
Satoh, Masaki
Scoccimarro, Enrico
Semmler, Tido
Small, Justin
von Storch, Jing-Song
author_facet Haarsma, Reindert J.
Roberts, Malcolm J.
Vidale, Pier L.
Senior, Catherine A.
Bellucci, Alessio
Bao, Qing
Chang, Ping
Corti, Susanna
Fuckar, Neven S.
Guemas, Virginie
Hardenberg, Jost von
Hazeleger, Wilco
Kodama, Chihiro
Koenigk, Torben
Leung, L. Ruby
Lu, Jian
Luo, Jing-Jia
Mao, Jiafu
Mizielinski, Matthew S.
Mizuta, Ryo
Nobre, Paulo
Satoh, Masaki
Scoccimarro, Enrico
Semmler, Tido
Small, Justin
von Storch, Jing-Song
author_sort Haarsma, Reindert J.
title High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
title_short High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
title_full High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
title_fullStr High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
title_full_unstemmed High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
title_sort high resolution model intercomparison project (highresmip v1.0) for cmip6
publisher European Geosciences Union (EGU)
publishDate 2016
url http://hdl.handle.net/2117/97450
https://doi.org/10.5194/gmd-9-4185-2016
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genre_facet Sea ice
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spelling ftupcatalunya:oai:upcommons.upc.edu:2117/97450 2023-05-15T18:19:00+02:00 High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6 Haarsma, Reindert J. Roberts, Malcolm J. Vidale, Pier L. Senior, Catherine A. Bellucci, Alessio Bao, Qing Chang, Ping Corti, Susanna Fuckar, Neven S. Guemas, Virginie Hardenberg, Jost von Hazeleger, Wilco Kodama, Chihiro Koenigk, Torben Leung, L. Ruby Lu, Jian Luo, Jing-Jia Mao, Jiafu Mizielinski, Matthew S. Mizuta, Ryo Nobre, Paulo Satoh, Masaki Scoccimarro, Enrico Semmler, Tido Small, Justin von Storch, Jing-Song Barcelona Supercomputing Center 2016-11-22 24 p. http://hdl.handle.net/2117/97450 https://doi.org/10.5194/gmd-9-4185-2016 eng eng European Geosciences Union (EGU) http://www.geosci-model-dev.net/9/4185/2016/ info:eu-repo/grantAgreement/EC/H2020/641727/EU/PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment/PRIMAVERA Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access CC-BY-NC-ND Àrees temàtiques de la UPC::Enginyeria biomèdica Atmospheric circulation Climate change High-performance computing (HPC) Coupled Model Intercomparison Project 6 (CMIP6) High Resolution Model Intercomparison Project (HighResMIP) World Climate Research Program (WCRP) Circulació atmosfèrica Canvis climàtics Article 2016 ftupcatalunya https://doi.org/10.5194/gmd-9-4185-2016 2019-09-29T09:15:20Z Robust projections and predictions of climate variability and change, particularly at regional scales, rely on the driving processes being represented with fidelity in model simulations. The role of enhanced horizontal resolution in improved process representation in all components of the climate system is of growing interest, particularly as some recent simulations suggest both the possibility of significant changes in large-scale aspects of circulation as well as improvements in small-scale processes and extremes. However, such high-resolution global simulations at climate timescales, with resolutions of at least 50 km in the atmosphere and 0.25° in the ocean, have been performed at relatively few research centres and generally without overall coordination, primarily due to their computational cost. Assessing the robustness of the response of simulated climate to model resolution requires a large multi-model ensemble using a coordinated set of experiments. The Coupled Model Intercomparison Project 6 (CMIP6) is the ideal framework within which to conduct such a study, due to the strong link to models being developed for the CMIP DECK experiments and other model intercomparison projects (MIPs). Increases in high-performance computing (HPC) resources, as well as the revised experimental design for CMIP6, now enable a detailed investigation of the impact of increased resolution up to synoptic weather scales on the simulated mean climate and its variability. The High Resolution Model Intercomparison Project (HighResMIP) presented in this paper applies, for the first time, a multi-model approach to the systematic investigation of the impact of horizontal resolution. A coordinated set of experiments has been designed to assess both a standard and an enhanced horizontal-resolution simulation in the atmosphere and ocean. The set of HighResMIP experiments is divided into three tiers consisting of atmosphere-only and coupled runs and spanning the period 1950–2050, with the possibility of extending to 2100, together with some additional targeted experiments. This paper describes the experimental set-up of HighResMIP, the analysis plan, the connection with the other CMIP6 endorsed MIPs, as well as the DECK and CMIP6 historical simulations. HighResMIP thereby focuses on one of the CMIP6 broad questions, “what are the origins and consequences of systematic model biases?”, but we also discuss how it addresses the World Climate Research Program (WCRP) grand challenges. PRIMAVERA project members (Malcolm J. Roberts, Reindert J. Haarsma, Pier Luigi Vidale, Torben Koenigk, Virginie Guemas, Susanna Corti, Jost von Hardenberg, Jin-Song von Storch,Wilco Hazeleger, Catherine A. Senior, Matthew S. Mizielinsky, Tido Semmler, Alessio Bellucci, Enrico Scoccimarro, Neven S. Fuckar) acknowledge funding received from the European Commission under grant agreement 641727 of the Horizon 2020 research programme. Chihiro Kodama acknowledges Y. Yamada, M. Nakano, T. Nasuno, T. Miyakawa, and H. Miura for analysis ideas. Neven S. Fuckar acknowledges support of the Juan de la Ciervaincorporación postdoctoral fellowship from the Ministry of Economy and Competitiveness of Spain. L. Ruby Leung and Jian Lu acknowledge support from the U.S. Department of Energy Office of Science Biological and Environmental Research as part of the Regional and Global Climate Modeling Program. The Pacific Northwest National Laboratory is operated for the DOE by Battelle Memorial Institute under contract DE-AC05-76RLO1830. Jiafu Mao is supported by the Biogeochemistry-Climate Feedbacks Scientific Focus Area project funded through the Regional and Global Climate Modeling Program in Climate and Environmental Sciences Division (CESD) of the Biological and Environmental Research (BER) Program in the U.S. Department of Energy Office of Science. Oak Ridge National Laboratory is managed by UTBATTELLE for the DOE under contract DE-AC05-00OR22725. Paulo Nobre acknowledges support from CNPq grant nos. 573797/2008-0 and 490237/2011-8, and FAPESP grant no. 2008/57719-9. Chihiro Kodama and Masaki Satoh are supported by the Program for Risk Information on Climate Change (SOSEI) and the FLAGSHIP2020 within the priority study4 (Advancement of meteorological and global environmental predictions utilizing observational “Big Data”), which are promoted by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. Ping Chang is supported by US National Science Foundation grants AGS-1462127 and AGS-1067937, and National Oceanic and Atmospheric Administration grant NA11OAR4310154, as well as by China’s National Basic Research Priorities Programme (2013CB956204 and 2014CB745000). We thank Martin Juckes and his team for all their work on the HighResMIP and CMIP6 data request. Nick Rayner and John Kennedy for allowing early access to the HadISST2 daily, 1/4º SST and sea-ice dataset. Mark Ringer and Mark Webb for ideas for the targeted CFMIP-style experiment. Francois Massonnet for discussions on high-resolution modelling and sea ice. Peer Reviewed Postprint (published version) Article in Journal/Newspaper Sea ice Universitat Politècnica de Catalunya (UPC): Theses and Dissertations Online (TDX) Neven ENVELOPE(17.265,17.265,68.730,68.730) Pacific Rayner ENVELOPE(-45.166,-45.166,-60.650,-60.650) Ringer ENVELOPE(162.050,162.050,-77.250,-77.250) Webb ENVELOPE(146.867,146.867,-67.867,-67.867) Geoscientific Model Development 9 11 4185 4208