Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1841-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-1841-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
03 Mar 2022
Model evaluation paper |
| 03 Mar 2022
| 03 Mar 2022
Extreme events representation in CMCC-CM2 standard and high-resolution general circulation models
Enrico Scoccimarro
CORRESPONDING AUTHOR
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
Bologna, Italy
Daniele Peano
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
Bologna, Italy
Silvio Gualdi
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
Bologna, Italy
Alessio Bellucci
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
Bologna, Italy
currently at: Consiglio Nazionale delle Ricerche, Istituto di
Scienze dell'Atmosfera e del Clima, Bologna, Italy
Tomas Lovato
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
Bologna, Italy
Pier Giuseppe Fogli
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
Bologna, Italy
Antonio Navarra
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
Bologna, Italy
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Wetland methane responses to temperature and precipitation were studied in a boreal wetland-rich region in northern Europe using ecosystem models, atmospheric inversions, and upscaled flux observations. The ecosystem models differed in their responses to temperature and precipitation and in their seasonality. However, multi-model means, inversions, and upscaled fluxes had similar seasonality, and they suggested co-limitation by temperature and precipitation.
Colin G. Jones, Fanny Adloff, Ben B. B. Booth, Peter M. Cox, Veronika Eyring, Pierre Friedlingstein, Katja Frieler, Helene T. Hewitt, Hazel A. Jeffery, Sylvie Joussaume, Torben Koenigk, Bryan N. Lawrence, Eleanor O'Rourke, Malcolm J. Roberts, Benjamin M. Sanderson, Roland Séférian, Samuel Somot, Pier Luigi Vidale, Detlef van Vuuren, Mario Acosta, Mats Bentsen, Raffaele Bernardello, Richard Betts, Ed Blockley, Julien Boé, Tom Bracegirdle, Pascale Braconnot, Victor Brovkin, Carlo Buontempo, Francisco Doblas-Reyes, Markus Donat, Italo Epicoco, Pete Falloon, Sandro Fiore, Thomas Frölicher, Neven S. Fučkar, Matthew J. Gidden, Helge F. Goessling, Rune Grand Graversen, Silvio Gualdi, José M. Gutiérrez, Tatiana Ilyina, Daniela Jacob, Chris D. Jones, Martin Juckes, Elizabeth Kendon, Erik Kjellström, Reto Knutti, Jason Lowe, Matthew Mizielinski, Paola Nassisi, Michael Obersteiner, Pierre Regnier, Romain Roehrig, David Salas y Mélia, Carl-Friedrich Schleussner, Michael Schulz, Enrico Scoccimarro, Laurent Terray, Hannes Thiemann, Richard A. Wood, Shuting Yang, and Sönke Zaehle
Earth Syst. Dynam., 15, 1319–1351, https://doi.org/10.5194/esd-15-1319-2024, https://doi.org/10.5194/esd-15-1319-2024, 2024
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We propose a number of priority areas for the international climate research community to address over the coming decade. Advances in these areas will both increase our understanding of past and future Earth system change, including the societal and environmental impacts of this change, and deliver significantly improved scientific support to international climate policy, such as future IPCC assessments and the UNFCCC Global Stocktake.
Federico Fabiano, Paolo Davini, Virna L. Meccia, Giuseppe Zappa, Alessio Bellucci, Valerio Lembo, Katinka Bellomo, and Susanna Corti
Earth Syst. Dynam., 15, 527–546, https://doi.org/10.5194/esd-15-527-2024, https://doi.org/10.5194/esd-15-527-2024, 2024
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Even after the concentration of greenhouse gases is stabilized, the climate will continue to adapt, seeking a new equilibrium. We study this long-term stabilization through a set of 1000-year simulations, obtained by suddenly "freezing" the atmospheric composition at different levels. If frozen at the current state, global warming surpasses 3° in the long term with our model. We then study how climate impacts will change after various centuries and how the deep ocean will warm.
Qiang Wang, Qi Shu, Alexandra Bozec, Eric P. Chassignet, Pier Giuseppe Fogli, Baylor Fox-Kemper, Andy McC. Hogg, Doroteaciro Iovino, Andrew E. Kiss, Nikolay Koldunov, Julien Le Sommer, Yiwen Li, Pengfei Lin, Hailong Liu, Igor Polyakov, Patrick Scholz, Dmitry Sidorenko, Shizhu Wang, and Xiaobiao Xu
Geosci. Model Dev., 17, 347–379, https://doi.org/10.5194/gmd-17-347-2024, https://doi.org/10.5194/gmd-17-347-2024, 2024
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Increasing resolution improves model skills in simulating the Arctic Ocean, but other factors such as parameterizations and numerics are at least of the same importance for obtaining reliable simulations.
Doroteaciro Iovino, Pier Giuseppe Fogli, and Simona Masina
Geosci. Model Dev., 16, 6127–6159, https://doi.org/10.5194/gmd-16-6127-2023, https://doi.org/10.5194/gmd-16-6127-2023, 2023
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This paper describes the model performance of three global ocean–sea ice configurations, from non-eddying (1°) to eddy-rich (1/16°) resolutions. Model simulations are obtained following the Ocean Model Intercomparison Project phase 2 (OMIP2) protocol. We compare key global climate variables across the three models and against observations, emphasizing the relative advantages and disadvantages of running forced ocean–sea ice models at higher resolution.
Giovanni Coppini, Emanuela Clementi, Gianpiero Cossarini, Stefano Salon, Gerasimos Korres, Michalis Ravdas, Rita Lecci, Jenny Pistoia, Anna Chiara Goglio, Massimiliano Drudi, Alessandro Grandi, Ali Aydogdu, Romain Escudier, Andrea Cipollone, Vladyslav Lyubartsev, Antonio Mariani, Sergio Cretì, Francesco Palermo, Matteo Scuro, Simona Masina, Nadia Pinardi, Antonio Navarra, Damiano Delrosso, Anna Teruzzi, Valeria Di Biagio, Giorgio Bolzon, Laura Feudale, Gianluca Coidessa, Carolina Amadio, Alberto Brosich, Arnau Miró, Eva Alvarez, Paolo Lazzari, Cosimo Solidoro, Charikleia Oikonomou, and Anna Zacharioudaki
Ocean Sci., 19, 1483–1516, https://doi.org/10.5194/os-19-1483-2023, https://doi.org/10.5194/os-19-1483-2023, 2023
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The paper presents the Mediterranean Forecasting System evolution and performance developed in the framework of the Copernicus Marine Service.
Emmanouil Flaounas, Leonardo Aragão, Lisa Bernini, Stavros Dafis, Benjamin Doiteau, Helena Flocas, Suzanne L. Gray, Alexia Karwat, John Kouroutzoglou, Piero Lionello, Mario Marcello Miglietta, Florian Pantillon, Claudia Pasquero, Platon Patlakas, María Ángeles Picornell, Federico Porcù, Matthew D. K. Priestley, Marco Reale, Malcolm J. Roberts, Hadas Saaroni, Dor Sandler, Enrico Scoccimarro, Michael Sprenger, and Baruch Ziv
Weather Clim. Dynam., 4, 639–661, https://doi.org/10.5194/wcd-4-639-2023, https://doi.org/10.5194/wcd-4-639-2023, 2023
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Cyclone detection and tracking methods (CDTMs) have different approaches in defining and tracking cyclone centers. This leads to disagreements on extratropical cyclone climatologies. We present a new approach that combines tracks from individual CDTMs to produce new composite tracks. These new tracks are shown to correspond to physically meaningful systems with distinctive life stages.
David Docquier, Stéphane Vannitsem, and Alessio Bellucci
Earth Syst. Dynam., 14, 577–591, https://doi.org/10.5194/esd-14-577-2023, https://doi.org/10.5194/esd-14-577-2023, 2023
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The climate system is strongly regulated by interactions between the ocean and atmosphere. However, many uncertainties remain in the understanding of these interactions. Our analysis uses a relatively novel approach to quantify causal links between the ocean surface and lower atmosphere based on satellite observations. We find that both the ocean and atmosphere influence each other but with varying intensity depending on the region, demonstrating the power of causal methods.
Alban Planchat, Lester Kwiatkowski, Laurent Bopp, Olivier Torres, James R. Christian, Momme Butenschön, Tomas Lovato, Roland Séférian, Matthew A. Chamberlain, Olivier Aumont, Michio Watanabe, Akitomo Yamamoto, Andrew Yool, Tatiana Ilyina, Hiroyuki Tsujino, Kristen M. Krumhardt, Jörg Schwinger, Jerry Tjiputra, John P. Dunne, and Charles Stock
Biogeosciences, 20, 1195–1257, https://doi.org/10.5194/bg-20-1195-2023, https://doi.org/10.5194/bg-20-1195-2023, 2023
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Ocean alkalinity is critical to the uptake of atmospheric carbon and acidification in surface waters. We review the representation of alkalinity and the associated calcium carbonate cycle in Earth system models. While many parameterizations remain present in the latest generation of models, there is a general improvement in the simulated alkalinity distribution. This improvement is related to an increase in the export of biotic calcium carbonate, which closer resembles observations.
Dario Nicolì, Alessio Bellucci, Paolo Ruggieri, Panos J. Athanasiadis, Stefano Materia, Daniele Peano, Giusy Fedele, Riccardo Hénin, and Silvio Gualdi
Geosci. Model Dev., 16, 179–197, https://doi.org/10.5194/gmd-16-179-2023, https://doi.org/10.5194/gmd-16-179-2023, 2023
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Decadal climate predictions, obtained by constraining the initial condition of a dynamical model through a truthful estimate of the observed climate state, provide an accurate assessment of the near-term climate and are useful for informing decision-makers on future climate-related risks. The predictive skill for key variables is assessed from the operational decadal prediction system compared with non-initialized historical simulations so as to quantify the added value of initialization.
David Docquier, Stéphane Vannitsem, Alessio Bellucci, and Claude Frankignoul
EGUsphere, https://doi.org/10.5194/egusphere-2022-1340, https://doi.org/10.5194/egusphere-2022-1340, 2022
Preprint withdrawn
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Understanding whether variations in ocean heat content are driven by air-sea heat fluxes or by ocean dynamics is of crucial importance to enhance climate projections. We use a relatively novel causal method to quantify interactions between ocean heat budget terms based on climate models. We find that low-resolution models overestimate the influence of ocean dynamics in the upper ocean, and that changes in ocean heat content are dominated by air-sea fluxes at high resolution.
Marco Reale, Gianpiero Cossarini, Paolo Lazzari, Tomas Lovato, Giorgio Bolzon, Simona Masina, Cosimo Solidoro, and Stefano Salon
Biogeosciences, 19, 4035–4065, https://doi.org/10.5194/bg-19-4035-2022, https://doi.org/10.5194/bg-19-4035-2022, 2022
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Future projections under the RCP8.5 and RCP4.5 emission scenarios of the Mediterranean Sea biogeochemistry at the end of the 21st century show different levels of decline in nutrients, oxygen and biomasses and an acidification of the water column. The signal intensity is stronger under RCP8.5 and in the eastern Mediterranean. Under RCP4.5, after the second half of the 21st century, biogeochemical variables show a recovery of the values observed at the beginning of the investigated period.
Cited articles
Andersson E. and Thépaut, J. N.: ECMWF's 4D-Var data assimilation system –
the genesis and ten years in operations, ECMWF Newsl., 115, 8–12, 2008.
Bador, M., Boé, J., Terray, L., Alexander, L. V., Bellucci, A., Haarsma,
R., Koenigk, T., Moine, M.-P., Lohmann, K., Putrasahan, D. A., Roberts, C.,
Roberts, M., Scoccimarro, E., Schiemann, R., Seddon, J., Senan, R., Valcke,
S., and Vanniere, B.: Impact of higher spatial atmospheric resolution on
precipitation extremes over land in global climate models, J.
Geophys. Res.-Atmos, 125, e2019JD032184, https://doi.org/10.1029/2019JD032184, 2020.
Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., van Dijk,
A. I. J. M., McVicar, T. R., and Adler, R. F.: MSWEP V2 Global 3-Hourly
0.1∘ Precipitation: Methodology and Quantitative Assessment,
B. Am. Meteorol. Soc., 100, 473–500, 2019.
Bellucci, A., Athanasiadis, P. J., Scoccimarro, E., Ruggieri, P., Gualdi, S., Fedele, G., Haarsma, R. J., Garcia-Serrano, J., Castrillo, M., Putrahasan, D., Sanchez-Gomez, E., Moine, M.-P., Roberts, C. D., Roberts, M. J., Seddon, J., and Vidale, P. L.: Air-Sea interaction over
the Gulf Stream in an ensemble of HighResMIP present climate simulations,
Clim. Dynam., 56, 2093–2111, https://doi.org/10.1007/s00382-020-05573-z, 2021.
Chan, S. C., Kendon, E. J., Fowler, H. J., Blenkinsop, S., Roberts, N. M., and
Ferro, C. A. T.: The Value of High-Resolution Met Office Regional Climate
Models in the Simulation of Multihourly Precipitation Extremes, J. Climate, 27, 6155–6174, 2014.
Cherchi, A., Lovato, T., Fogli, P. G., Peano, D., Gualdi, S., Masina, S., Scoccimarro, E., Materia, S., Iovino, D., and Navarra, A.: Global mean climate and
main patterns of variability in the CMCC-CM2 coupled model, J.
Adv. Model. Earth Sy., 11, 185–209, https://doi.org/10.1029/2018MS001369, 2019.
Crossett, C. C., Betts, A. K., Dupigny-Giroux, L. A. L., and Bomblies, A.: Evaluation of Daily Precipitation from the ERA5 Global
Reanalysis against GHCN Observations in the Northeastern United States,
Climate, 8, 148, https://doi.org/10.3390/cli8120148, 2020.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of
the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, 2011.
Demory, M.-E., Vidale, P. L., Roberts, M. J., Berrisford, P., Strachan, J.,
Schiemann, R., and Mizielinski, M. S.: The role of horizontal resolution in
simulating drivers of the global hydrological cycle, Clim. Dynam., 42,
2201–2225, https://doi.org/10.1007/s00382-013-1924-4, 2014.
Demory, M.-E., Berthou, S., Fernández, J., Sørland, S. L., Brogli, R., Roberts, M. J., Beyerle, U., Seddon, J., Haarsma, R., Schär, C., Buonomo, E., Christensen, O. B., Ciarlò, J. M., Fealy, R., Nikulin, G., Peano, D., Putrasahan, D., Roberts, C. D., Senan, R., Steger, C., Teichmann, C., and Vautard, R.: European daily precipitation according to EURO-CORDEX regional climate models (RCMs) and high-resolution global climate models (GCMs) from the High-Resolution Model Intercomparison Project (HighResMIP), Geosci. Model Dev., 13, 5485–5506, https://doi.org/10.5194/gmd-13-5485-2020, 2020.
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016.
Flato, G., Marotzke, J., Abiodun, B., Braconnot, P., Chou, S. C., Collins, W. J., Cox, P., Driouech, F., Emori, S., Eyring, V., and Forest, C.: Evaluation of climate models. Climate change 2013: The physical
science basis, Contribution of Working Group I to the Fifth Assessment
Report of the Intergovernmental Panel on Climate Change, 5, 741–866, 2013.
Fogli, P. G. and Iovino, D.: CMCC-CESM-NEMO: toward the new CMCC Earth System
Model, CMCC Research Papers, RP0248, 15 pp., https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2603176 (last access: 15 July 2021), 2014.
Funk, C.: Climate Hazards Group, Climate Hazards Center [data set], https://doi.org/10.15780/G2RP4Q, 2015.
Funk, C., Peterson P., Landsfeld M., Pedreros D., Verdin J., Shukla S., Husak G., Rowland J., Harrison L., Hoell A., and Michaelsen J.: The climate hazards infrared
precipitation with stations – a new environmental record for monitoring
extremes, Sci. Data, 2, 150066, https://doi.org/10.1038/sdata.2015.66, 2015.
Haarsma, R. J., Roberts, M. J., Vidale, P. L., Senior, C. A., Bellucci, A., Bao, Q., Chang, P., Corti, S., Fučkar, N. S., Guemas, V., von Hardenberg, J., Hazeleger, W., Kodama, C., Koenigk, T., Leung, L. R., Lu, J., Luo, J.-J., Mao, J., Mizielinski, M. S., Mizuta, R., Nobre, P., Satoh, M., Scoccimarro, E., Semmler, T., Small, J., and von Storch, J.-S.: High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6, Geosci. Model Dev., 9, 4185–4208, https://doi.org/10.5194/gmd-9-4185-2016, 2016.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., Thepaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hu, G. and Franzke, C. L. E.: Evaluation of daily precipitation extremes in
reanalysis and gridded observation based data sets over Germany, Geophys.
Res. Lett., 47, e2020GL089624, https://doi.org/10.1029/2020GL089624, 2020.
Hunke, E. and Lipscomb, W.: CICE: The Los Alamos sea ice model,
documentation and software, version 4.0, Los Alamos National Laboratory,
Technical Report, Los Alamos NM, LA-CC-06-012, 76, 2008.
Iles, C. E., Vautard, R., Strachan, J., Joussaume, S., Eggen, B. R., and Hewitt, C. D.: The benefits of increasing resolution in global and regional climate simulations for European climate extremes, Geosci. Model Dev., 13, 5583–5607, https://doi.org/10.5194/gmd-13-5583-2020, 2020.
Kharin, V. V., Zwiers, F. W., Zhang, X., and Wehner, M.: Changes in temperature and
precipitation extremes in the CMIP5 ensemble, Climatic Change, 119, 345–357,
https://doi.org/10.1007/s10584-013-0705-8, 2013.
Kopparla, P., Fischer, E. M., Hannay, C., and Knutti, R.: Improved
simulation of extreme precipitation in a high-resolution atmosphere model,
Geophys. Res. Lett., 40, 5803–5808,
https://doi.org/10.1002/2013GL057866, 2013.
Li, C., Zwiers, F., Zhang, X., Li, G., Sun, Y., and Wehner, M.: Changes in
Annual Extremes of Daily Temperature and Precipitation in CMIP6 Models,
J. Climate, 34, 3441–3460, 2021.
Madec, G. and the NEMO team: NEMO ocean engine – Version 3.6, Tech. Rep., no. 27 Pôle de Modélisation, Institut Pierre-Simon
Laplace (IPSL), France, NEMO ocean engine, NEMO System Team, Scientific Notes of Climate Modelling Center, 27, Institut Pierre-Simon Laplace (IPSL), ISSN 1288-1619, https://doi.org/10.5281/zenodo.1464816, 2016.
Meredith, E. P., Ulbrich, U., and Rust, H. W.: Subhourly rainfall in a convection-permitting model,
Environ. Res. Lett., 15, 034031, https://doi.org/10.1088/1748-9326/ab6787, 2020.
Neale, R. B. , Richter, J. H., Conley, A. J., Park, S., Lauritzen, P. H., Gettelman, A., Williamson, D. L., Rasch, P. J., Vavrus, S. J., Taylor, M. A., Collins, W. D., Zhang, M., and Lin, S.: Description of the NCAR Community Atmosphere
Model (CAM4.0), NCAR Tech. Note, NCAR/TN-4851STR, 212 pp., 2010.
Oleson, K. W., Lawrence, D. M., Bonan, G. B., Drewniak, B., Huang, M.,
Koven, C. D., Levis, S., Li, F., Riley, W. J., Subin, Z. M., Swenson, S. C., and Thornton, P. E.: Technical description of version 4.5 of the Community
Land Model (CLM), NCAR Technical Note, NCAR/TN-503+STR, 2013.
Raymond, D. J. and Blyth, A. M.: A stochastic mixing model for
non-precipitating cumulus clouds, J. Atmos. Sci., 43, 2708–2718, 1986.
Raymond, D. J. and Blyth, A. M.: Extension of the stochastic mixing model to
cumulonimbus clouds, J. Atmos. Sci., 49, 1968–1983, 1992.
Richter, J. H. and Rasch, P. J.: Effects of convective momentum transport on
the atmospheric circulation in the community atmosphere model, version 3, J.
Climate, 21, 1487–1499, 2008.
Rivoire, P., Martius, O., and Naveau, P.: A comparison of moderate and
extreme ERA-5 daily precipitation with two observational data sets, Earth
and Space Science, 8, e2020EA001633, https://doi.org/10.1029/2020EA001633, 2021.
Schindler A., Toreti, A., Zampieri, M., Scoccimarro, E., Gualdi, S., Fukutome, S., Xoplaki, E., and Luterbacher, J.: On the internal variability of simulated daily
precipitation, J. Climate, 28, 3624–3630, https://doi.org/10.1175/JCLI-D-14-00745.1, 2015.
Scoccimarro, E. and Gualdi, S.: Heavy Daily Precipitation Events in the CMIP6
Worst-Case Scenario: Projected Twenty-First-Century Changes, J.
Climate, 33, 7631–7642, https://doi.org/10.1175/JCLI-D-19-0940.1, 2020.
Scoccimarro, E. and Navarra, A.: Precipitation and temperature extremes in a
changing climate, in: Hydrometeorological Extreme Events and
Public Health, 1st edn., chap. 2, edited by: Matthies, F., Wiley book, 320 pp., ISBN 978-1-119-25930-5, 2021.
Scoccimarro, E., Gualdi, S., Bellucci, A., Zampieri, M., and Navarra, A.: Heavy
precipitation events in a warmer climate: results from CMIP5 models, J.
Climate, 26, 7902–7911, https://doi.org/10.1175/JCLI-D-12-00850.1, 2013.
Scoccimarro, E., Villarini, G., Vichi, M., Zampieri, M., Fogli, P. G., Bellucci, A., and Gualdi, S.: Projected changes in intense precipitation over Europe at the
daily and sub-daily time scales, J. Climate, 28, 6193–6203, https://doi.org/10.1175/JCLI-D-14-00779.1, 2015.
Scoccimarro, E., Gualdi, S., Bellucci, A., Zampieri, M., and Navarra, A.: Heavy
precipitation events over the Euro-Mediterranean region in a warmer climate:
results from CMIP5 models, Reg. Environ. Change, 16, 595–602, https://doi.org/10.1007/s10113-014-0712-y, 2016.
Scoccimarro, E., Fogli, P. G., Reed, K., Gualdi, S., Masina, S., and Navarra, A.:
Tropical cyclone interaction with the ocean: the role of high frequency
(sub-daily) coupled processes, J. Climate, 30, 145–162, https://doi.org/10.1175/JCLI-D-16-0292.1, 2017a.
Scoccimarro, E., Bellucci, A., and Peano, D.: CMCC CMCC-CM2-HR4 model output
prepared for CMIP6 HighResMIP hist-1950, Earth System Grid Federation [data set],
https://doi.org/10.22033/ESGF/CMIP6.1359, 2017b.
Scoccimarro, E., Bellucci, A., and Peano, D.: CMCC CMCC-CM2-VHR4 model output
prepared for CMIP6 HighResMIP, Earth System Grid Federation [data set],
https://doi.org/10.22033/ESGF/CMIP6.1367, 2017c.
Scoccimarro, E., Gualdi, S., Bellucci, A., Peano, D.,
Cherchi, A., Vecchi, G. A., and Navarra, A.: The
typhoon-induced drying of the Maritime Continent, PNAS, 117, 3983–3988, https://doi.org/10.1073/pnas.1915364117, 2020.
Scoccimarro, E., Peano, D., Gualdi, S., Bellucci, A., Lovato, T., Fogli, P. G., and Navarra, A.: CMCC-Foundation/CMCC-CM2-HighResMIP: CMCC-CM2-HighResMIP code for CMIP6 (cmip6-code), Zenodo [data set], https://doi.org/10.5281/zenodo.5499856, 2021.
Terai, C. R., Caldwell, P. M., Klein, S. A. Tang, Q., and Branstetter, M.
L.: The atmospheric hydrologic cycle in the ACME v0.3 model, Clim. Dynam.,
50, 3251–3279, https://doi.org/10.1007/s00382-017-3803-x,
2018.
Van Haren, R., Haarsma, R. J., de Vries, H., van Oldenborgh, G. J., and
Hazeleger, W.: Resolution dependence of circulation forcedfuture central
European summer drying, Environ. Res. Lett., 10, 055002,
https://doi.org/10.1088/1748-9326/10/5/055002, 2015.
Vannière, B., Vidale, P. L., Demory, M.-E., Schiemann, R., Roberts, M. J.,
Roberts, C. D., Matsueda, M., Terray, L., Koenigk, T., and Senan, R.:
Multi-model evaluation of the sensitivity of the global energy budget and
hydrological cycle to resolution, Clim. Dynam., 52, 6817–6846, https://doi.org/10.1007/s00382-018-4547-y, 2019.
Wang, X. and Zhang, M.: An analysis of parameterization interactions and
sensitivity of single-column model simulations to convection schemes in CAM4
and CAM5, J. Geophys. Res.-Atmos., 118, 8869–8880, https://doi.org/10.1002/jgrd.50690, 2013.
Wehner, M. F., Reed, K. A., Li, F., Bacmeister, P. J., Chen, C. T., Paciorek, C., Gleckler, P. J., Sperber, K. R., Collins, W. D., Gettelman, A., and Jablonowski, C.: The effect of horizontal resolution on simulation
quality in the Community Atmospheric Model, CAM5.1, J. Adv. Model. Earth
Sy., 6, 980–997, https://doi.org/10.1002/2013MS000276, 2014.
Wehner, M., Lee, J., Risser, M., Ullrich, P., Gleckler, P., and Collins, W. D.:
Evaluation of extreme sub-daily precipitation in high-resolution global
climate model simulations, Philos. Tr. R. Soc. A., 379,
20190545, https://doi.org/10.1098/rsta.2019.0545, 2021.
Wei, L., Xin, X., Xiao, C., Li, Y., Wu, Y., and Tang, H.: Performance of BCC-CSM Models with
Different Horizontal Resolutions in Simulating Extreme Climate Events in
China, J. Meteor. Res., 33, 720–733, https://doi.org/10.1007/s13351-019-8159-1, 2019.
Zhang, G. J. and McFarlane, N. A.: Sensitivity of climate simulations to the
parameterization of cumulus convection in the Canadian Climate Centre
general circulation model, Atmos. Ocean, 33, 407–446, 1995.
Short summary
This study evaluated the ability of the CMCC-CM2 climate model participating to the last CMIP6 effort, in representing extreme events of precipitation and temperature at the daily and 6-hourly frequencies. The 1/4° resolution version of the atmospheric model provides better results than the version at 1° resolution for temperature extremes, at both time frequencies. For precipitation extremes, especially at the daily time frequency, the higher resolution does not improve model results.
This study evaluated the ability of the CMCC-CM2 climate model participating to the last CMIP6...
