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1. Precipitation in the EURO-CORDEX 0.11∘0.11∘ and 0.44∘0.44∘ simulations: high resolution, high benefits?

Author

Prein, A., Gobiet, A., Truhetz, H., Keuler, K., Goergen, K., Teichmann, C., Fox Maule, C., Van Meijgaard, E., Déqué, M., Nikulin, G., Vautard, R., Colette, A., Kjellström, E., Jacob, D., National Center for Atmospheric Research [Boulder] (NCAR), Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Brandenburg University of Technology [Cottbus – Senftenberg] (BTU), University of Bonn, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Danish Meteorological Institute (DMI), Royal Netherlands Meteorological Institute (KNMI), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Swedish Meteorological and Hydrological Institute (SMHI), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut National de l'Environnement Industriel et des Risques (INERIS), Laboratoire Kastler Brossel (LKB (Jussieu)), Université Pierre et Marie Curie - Paris 6 (UPMC)-Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Universität Bonn = University of Bonn, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2016

2. Precipitation in the EURO-CORDEX 0.11° and 0.44° simulations: high resolution, high benefits ?

Author

Prein, A. F., Gobiet, A., Vautard, R., Colette, A., Kjellström, E., Jacob, D., Truhetz, H., Keuler, K., Görgen, Klaus, Teichmann, C., Fox Maule, C., van Meijgaard, E., Déqué, M., and Nikulin, G.

Subjects
ddc:550
Abstract

In the framework of the EURO-CORDEX initiative an ensemble of European-wide high-resolution regional climate simulations on a 0.11∘(∼12.5km) grid has been generated. This study investigates whether the fine-gridded regional climate models are found to add value to the simulated mean and extreme daily and sub-daily precipitation compared to their coarser-gridded 0.44∘(∼50km) counterparts. Therefore, pairs of fine- and coarse-gridded simulations of eight reanalysis-driven models are compared to fine-gridded observations in the Alps, Germany, Sweden, Norway, France, the Carpathians, and Spain. A clear result is that the 0.11∘ simulations are found to better reproduce mean and extreme precipitation for almost all regions and seasons, even on the scale of the coarser-gridded simulations (50 km). This is primarily caused by the improved representation of orography in the 0.11∘ simulations and therefore largest improvements can be found in regions with substantial orographic features. Improvements in reproducing precipitation in the summer season appear also due to the fact that in the fine-gridded simulations the larger scales of convection are captured by the resolved-scale dynamics. The 0.11∘ simulations reduce biases in large areas of the investigated regions, have an improved representation of spatial precipitation patterns, and precipitation distributions are improved for daily and in particular for 3 hourly precipitation sums in Switzerland. When the evaluation is conducted on the fine (12.5 km) grid, the added value of the 0.11∘ models becomes even more obvious. © 2015, The Author(s).

Published
2016

3. Error characteristics of high resolution regional climate models over the Alpine area

Author

Suklitsch, M., Gobiet, A., Truhetz, H., Awan, N., Goettel, H., and Jacob, D.

Subjects
Atmospheric Science, Percentile, 010504 meteorology & atmospheric sciences, 0207 environmental engineering, Orography, Scale (descriptive set theory), 02 engineering and technology, 15. Life on land, Atmospheric temperature, 01 natural sciences, 13. Climate action, Climatology, Hindcast, Environmental science, Climate model, Precipitation, 020701 environmental engineering, Sea level, 0105 earth and related environmental sciences
Abstract

This study describes typical error ranges of high resolution regional climate models operated over complex orography and investigates the scale-dependence of these error ranges. The results are valid primarily for the European Alpine region, but to some extent they can also be transferred to other orographically complex regions of the world. We investigate the model errors by evaluating a set of 62 one-year hindcast experiments for the year 1999 with four different regional climate models. The analysis is conducted for the parameters mean sea level pressure, air temperature (mean, minimum and maximum) and precipitation (mean, frequency and intensity), both as an area average over the whole modeled domain (the “Greater Alpine Region”, GAR) and in six subregions. The subregional seasonal error ranges, defined as the interval between the 2.5th percentile and the 97.5th percentile, lie between −3.2 and +2.0 K for temperature and between −2.0 and +3.1 mm/day (−45.7 and +94.7%) for precipitation, respectively. While the temperature error ranges are hardly broadened at smaller scales, the precipitation error ranges increase by 28%. These results demonstrate that high resolution RCMs are applicable in relatively small scale climate impact studies with a comparable quality as on well investigated larger scales as far as temperature is concerned. For precipitation, which is a much more demanding parameter, the quality is moderately degraded on smaller scales.

Published
2010

5. The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation

Author

Ban, N., Caillaud, C., Coppola, E., Pichelli, E., Sobolowski, S., Adinolfi, M., Ahrens, B., Alias, A., Anders, I., Bastin, S., Belu��i��, D., Berthou, S., Brisson, E., Cardoso, R. M., Chan, S. C., Christensen, O. B., Fern��ndez, J., Fita, L., Frisius, T., Ga��parac, G., Giorgi, F., Goergen, K., Haugen, J. E., Hodnebrog, ��., Kartsios, S., Katragkou, E., Kendon, E. J., Keuler, K., Lavin-Gullon, A., Lenderink, G., Leutwyler, D., Lorenz, T., Maraun, D., Mercogliano, P., Milovac, J., Panitz, H.-J., Raffa, M., Remedio, A. R., Sch��r, C., Soares, P. M. M., Srnec, L., Steensen, B. M., Stocchi, P., T��lle, M. H., Truhetz, H., Vergara-Temprado, J., Vries, H. De, Warrach-Sagi, K., Wulfmeyer, V., and Zander, M. J.

Subjects
Kilometer-scale resolution, 13. Climate action, Multi-model ensemble simulations, Precipitation, Regional climate models
Abstract

Here we present the first multi-model ensemble of regional climate simulations at kilometer-scale horizontal grid spacing over a decade long period. A total of 23 simulations run with a horizontal grid spacing of ���3 km, driven by ERA-Interim reanalysis, and performed by 22 European research groups are analysed. Six different regional climate models (RCMs) are represented in the ensemble. The simulations are compared against available high-resolution precipitation observations and coarse resolution (��� 12 km) RCMs with parameterized convection. The model simulations and observations are compared with respect to mean precipitation, precipitation intensity and frequency, and heavy precipitation on daily and hourly timescales in different seasons. The results show that kilometer-scale models produce a more realistic representation of precipitation than the coarse resolution RCMs. The most significant improvements are found for heavy precipitation and precipitation frequency on both daily and hourly time scales in the summer season. In general, kilometer-scale models tend to produce more intense precipitation and reduced wet-hour frequency compared to coarse resolution models. On average, the multi-model mean shows a reduction of bias from ��� ���40% at 12 km to ��� ���3% at 3 km for heavy hourly precipitation in summer. Furthermore, the uncertainty ranges i.e. the variability between the models for wet hour frequency is reduced by half with the use of kilometer-scale models. Although differences between the model simulations at the kilometer-scale and observations still exist, it is evident that these simulations are superior to the coarse-resolution RCM simulations in the representing precipitation in the present-day climate, and thus offer a promising way forward for investigations of climate and climate change at local to regional scales.

6. Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community

Author

Jacob, Daniela, Teichmann, Claas, Sobolowski, Stefan, Katragkou, Eleni, Anders, Ivonne, Belda, Michal, Benestad, Rasmus, Boberg, Fredrik, Buonomo, Erasmo, Cardoso, Rita M., Casanueva, Ana, Christensen, Ole B., Christensen, Jens Hesselbjerg, Coppola, Erika, De Cruz, Lesley, Davin, Edouard L., Dobler, Andreas, Domínguez, Marta, Fealy, Rowan, Fernandez, Jesus, Gaertner, Miguel Angel, García-Díez, Markel, Giorgi, Filippo, Gobiet, Andreas, Goergen, Klaus, Gómez-Navarro, Juan José, Alemán, Juan Jesús González, Gutiérrez, Claudia, Gutiérrez, José M., Güttler, Ivan, Haensler, Andreas, Halenka, Tomáš, Jerez, Sonia, Jiménez-Guerrero, Pedro, Jones, Richard G., Keuler, Klaus, Kjellström, Erik, Knist, Sebastian, Kotlarski, Sven, Maraun, Douglas, van Meijgaard, Erik, Mercogliano, Paola, Montávez, Juan Pedro, Navarra, Antonio, Nikulin, Grigory, de Noblet-Ducoudré, Nathalie, Panitz, Hans-Juergen, Pfeifer, Susanne, Piazza, Marie, Pichelli, Emanuela, Pietikäinen, Joni-Pekka, Prein, Andreas F., Preuschmann, Swantje, Rechid, Diana, Rockel, Burkhardt, Romera, Raquel, Sánchez, Enrique, Sieck, Kevin, Soares, Pedro M. M., Somot, Samuel, Srnec, Lidija, Sørland, Silje Lund, Termonia, Piet, Truhetz, Heimo, Vautard, Robert, Warrach-Sagi, Kirsten, Wulfmeyer, Volker, Climate Service Center Germany (GERICS), Helmholtz-Zentrum Geesthacht, Hamburg, Germany, NORCE Norwegian Research Centre, The Bjerknes Centre for Climate Research, Bergen, Norway, Department of Meteorology and Climatology, School of Geology, Aristotle University of Thessaloniki, Thessaloniki, Greece, Central Institute for Meteorology and Geodynamics (ZAMG), Vienna, Austria, Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic, The Norwegian Meteorological Institute, Oslo, Norway, Danish Meteorological Institute (DMI), Copenhagen, Denmark, School of Geography and the Environment, University of Oxford, Oxford, UK, Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal, Meteorology Group, Department of Applied Mathematics and Computer Science, Universidad de Cantabria, Santander, Spain, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark, International Centre for Theoretical Physics (ICTP), Trieste, Italy, Royal Meteorological Institute of Belgium (RMIB), Brussels, Belgium, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland, Agencia Estatal de Meteorología, Madrid, Spain, ICARUS, Department of Geography, Maynooth University, Maynooth, Ireland, University of Castilla-La Mancha, Toledo, Spain, Centre for High-Performance Scientific Computing in Terrestrial Systems, Geoverbund ABC/J, Jülich, Germany, Regional Atmospheric Modeling Group, Department of Physics, University of Murcia, Murcia, Spain, Meteorology Group, Instituto de Física de Cantabria (CSIC-Universidad de Cantabria), Santander, Spain, Croatian Meteorological and Hydrological Service, Zagreb, Croatia, Met Office Hadley Centre, Exeter, UK, Chair of Atmospheric Processes, Brandenburg University of Technology Cottbus - Senftenberg, Cottbus, Germany, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden, Meteorological Institute, University of Bonn, Bonn, Germany, Federal Office of Meteorology and Climatology MeteoSwiss, Zurich-Airport, Switzerland, Wegener Center for Climate and Global Change, University of Graz, Graz, Austria, Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands, C.I.R.A., Capua, Italy, Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Lecce, Italy, Laboratoire des Sciences du Climat et de l’Environnement, IPSL, Unité Mixte CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette cédex, France, Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany, Finnish Meteorological Institute (FMI), Helsinki, Finland, National Center for Atmospheric Research, Boulder, USA, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany, CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France, Department of Physics and Astronomy, Ghent University, Ghent, Belgium, Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany, Jacob D., Teichmann C., Sobolowski S., Katragkou E., Anders I., Belda M., Benestad R., Boberg F., Buonomo E., Cardoso R.M., Casanueva A., Christensen O.B., Christensen J.H., Coppola E., De Cruz L., Davin E.L., Dobler A., Dominguez M., Fealy R., Fernandez J., Gaertner M.A., Garcia-Diez M., Giorgi F., Gobiet A., Goergen K., Gomez-Navarro J.J., Aleman J.J.G., Gutierrez C., Gutierrez J.M., Guttler I., Haensler A., Halenka T., Jerez S., Jimenez-Guerrero P., Jones R.G., Keuler K., Kjellstrom E., Knist S., Kotlarski S., Maraun D., van Meijgaard E., Mercogliano P., Montavez J.P., Navarra A., Nikulin G., de Noblet-Ducoudre N., Panitz H.-J., Pfeifer S., Piazza M., Pichelli E., Pietikainen J.-P., Prein A.F., Preuschmann S., Rechid D., Rockel B., Romera R., Sanchez E., Sieck K., Soares P.M.M., Somot S., Srnec L., Sorland S.L., Termonia P., Truhetz H., Vautard R., Warrach-Sagi K., Wulfmeyer V., Electronics and Informatics, Physics, Universidad de Cantabria, Ministerio de Economía y Competitividad (España), CSIC-UC - Instituto de Física de Cantabria (IFCA), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), and European Commission

Subjects
IMPACTS, Climate Research, 010504 meteorology & atmospheric sciences, 0208 environmental biotechnology, Climate change, ENSEMBLE, 02 engineering and technology, Land cover, 01 natural sciences, Klimatforskning, COVER CHANGES, 11. Sustainability, ddc:330, Regional science, Adaptation (computer science), Temporal scales, TEMPERATURE, 0105 earth and related environmental sciences, MODEL DESCRIPTION, Global and Planetary Change, regional climate models, EURO-CORDEX, Land use, LAND-USE, FUTURE CHANGES, 15. Life on land, SIMULATIONS, 020801 environmental engineering, Earth system science, CORDEX, Geography, ddc:551.6, 13. Climate action, Earth and Environmental Sciences, MED-CORDEX, EURO-CORDEX, DAILY PRECIPITATION STATISTICS, Downscaling, Regional climate modelling, Regional climate models
Abstract

The European CORDEX (EURO-CORDEX) initiative is a large voluntary effort that seeks to advance regional climate and Earth system science in Europe. As part of the World Climate Research Programme (WCRP) - Coordinated Regional Downscaling Experiment (CORDEX), it shares the broader goals of providing a model evaluation and climate projection framework and improving communication with both the General Circulation Model (GCM) and climate data user communities. EURO-CORDEX oversees the design and coordination of ongoing ensembles of regional climate projections of unprecedented size and resolution (0.11° EUR-11 and 0.44° EUR-44 domains). Additionally, the inclusion of empirical-statistical downscaling allows investigation of much larger multi-model ensembles. These complementary approaches provide a foundation for scientific studies within the climate research community and others. The value of the EURO-CORDEX ensemble is shown via numerous peer-reviewed studies and its use in the development of climate services. Evaluations of the EUR-44 and EUR-11 ensembles also show the benefits of higher resolution. However, significant challenges remain. To further advance scientific understanding, two flagship pilot studies (FPS) were initiated. The first investigates local-regional phenomena at convection-permitting scales over central Europe and the Mediterranean in collaboration with the Med-CORDEX community. The second investigates the impacts of land cover changes on European climate across spatial and temporal scales. Over the coming years, the EURO-CORDEX community looks forward to closer collaboration with other communities, new advances, supporting international initiatives such as the IPCC reports, and continuing to provide the basis for research on regional climate impacts and adaptation in Europe., S.S. acknowledges the support of NOTUR/NORSTORE projects NN9280K/NS9001K and the Research Council of Norway and its basic institute support of the strategic project on Climate Services. E.K. acknowledges the support of the Greek Research & Technology Network (GRNET) for provision of technical support and facilities (HPC-ARIS). L.S. and I.G. acknowledge the support of Croatian Science Foundation project CARE (2831) and Ministry of Environment and Energy project TF/HR/P3-M1-O1-0101 (www.prilagodba-klimi.hr). J. F. acknowledges support from the Spanish R+D Programme through grant INSIGNIA (CGL2016-79210-R), co-funded by ERDF/FEDER, and the Altamira Supercomputer at Instituto de Física de Cantabria (IFCA-CSIC), member of the Spanish Supercomputing Network. P.T. acknowledges support from the Belgian Science Policy (BELSPO) within the CORDEX.be (BR/143/A2) project, and the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government – department EWI.M.A.G. acknowledges support from the Spanish R+D Programme through grants CGL2013-47261-R and CGL2017-89583-R, co-funded by the European Regional Development Fund. RF acknowledges support provided by ICHEC (Irish Centre for High End Computing) and the Irish Environmental Protection Agency. K.G. and S.K. gratefully acknowledge the computing time granted through JARA-HPC on the supercomputers JUROPA and JURECA at Forschungszentrum Jülich. M.B. and T.H. acknowledge support by The Ministry of Education, Youth and Sports from the Large Infrastructures for Research, Experimental Development and Innovations project “IT4Innovations National Supercomputing Center – LM2015070” and the INTER-EXCELLENCE program LTT17007, and support by Charles University from the PROGRES Q16 program. We acknowledge the approval and support of the two Flagship Pilot Studies (the FPS on Convective phenomena at high resolution over Europe and the Mediterranean and the FPS on Land Use and Climate Across Scales) by WRCP CORDEX. We thank Merja Tölle for providing simulation CCLM5-0-9-JLU as contribution to the CORDEX-FPS “Convective phenomena at high resolution over Europe and the Mediterranean”. D. M., M.P., and H.T. gratefully acknowledge the support received via the projects HighEnd:Extremes, SPIRIT, and reclip:convex, funded by the Austrian Climate Research Programme (ACRP) of the Klima- und Energiefonds (nos. B368608, B960272, and B769999, respectively), as well as the Jülich Supercomputing Centre (JSC) for compute time on JURECA through the grant JJSC39 and the Vienna Scientific Cluster (VSC) through the grants 70992 and 71193.

Published
2020

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