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5 results on '"Center for Environmental Systems Research [Kassel] (CESR)"'

1. The added value of km-scale simulations to describe temperature over complex orography: the CORDEX FPS-Convection multi-model ensemble runs over the Alps

Author

P. M. M. Soares, J. A. M. Careto, Rita M. Cardoso, Klaus Goergen, Eleni Katragkou, Stefan Sobolowski, Erika Coppola, Nikolina Ban, Danijel Belušić, Ségolène Berthou, Cécile Caillaud, Andreas Dobler, Øivind Hodnebrog, Stergios Kartsios, Geert Lenderink, T. Lorenz, Josipa Milovac, Hendrik Feldmann, Emanuela Pichelli, Heimo Truhetz, Marie Estelle Demory, Hylke de Vries, Kirsten Warrach-Sagi, Klaus Keuler, Mario Raffa, Merja Tölle, Kevin Sieck, Sophie Bastin, Universidade de Lisboa = University of Lisbon (ULISBOA), Instituto Dom Luiz, Agrosphere, IBG-3, Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Centre for High-Performance Scientific Computing in Terrestrial Systems (HPSC TerrSys), Department of Meteorology and Climatology [Thessaloniki], Aristotle University of Thessaloniki, Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Abdus Salam International Centre for Theoretical Physics [Trieste] (ICTP), Department of Atmospheric and Cryospheric Sciences [Innsbruck] (ACINN), Universität Innsbruck [Innsbruck], Swedish Meteorological and Hydrological Institute (SMHI), Department of Geophysics [Zagreb], Faculty of Science [Zagreb], University of Zagreb-University of Zagreb, Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], 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), Norwegian Meteorological Institute [Oslo] (MET), Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), Royal Netherlands Meteorological Institute (KNMI), NORCE Norwegian Research Center, Instituto de Física de Cantabria (IFCA), Universidad de Cantabria [Santander]-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Wegener Center for Climate and Global Change (WEGC), Karl-Franzens-Universität Graz, Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Institute of Physics and Meteorology [Stuttgart] (IPM), University of Hohenheim, Brandenburg University of Technology [Cottbus – Senftenberg] (BTU), REgional Model and geo-Hydrological Impacts (REMHI), Euro-Mediterranean Center on Climate Change (CMCC), Center for Environmental Systems Research [Kassel] (CESR), Universität Kassel [Kassel], Climate Service Center [Hambourg] (GERICS), Helmholtz-Zentrum Geesthacht (GKSS), SPACE - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], Earth sciences, Atmospheric Science, Kilometre-scale resolution, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Probability density functions, ddc:550, Regional climate modelling, Maximum and minimum temperature, Added value
Abstract

The increase in computational resources has enabled the emergence of multi-model ensembles of convection-permitting regional climate model (CPRCM) simulations at very high horizontal resolutions. An example is the CORDEX Flagship Pilot Study on “Convective phenomena at high resolution over Europe and the Mediterranean”, a set of kilometre-scale simulations over an extended Alpine domain. This first-of-its-kind multi-model ensemble, forced by the ERA-Interim reanalysis, can be considered a benchmark dataset. This study uses a recently proposed metric to determine the added value of all the available Flagship Pilot Study hindcast kilometre-scale simulations for maximum and minimum temperature. The analysis is performed using state-of-the-art gridded and station observations as ground truth. This approach directly assesses the added value between the high-resolution CPRCMs against their driving global simulations and coarser resolution RCM counterparts. Overall, models display some modest gains, but also considerable shortcomings are exhibited. In part, these deficiencies can be attributed to the assimilation of temperature observations into ERA-Interim. Although the gains for the use of kilometre-scale resolution for temperature are limited, the improvement of the spatial representation of local atmospheric circulations and land–atmosphere interactions can ultimately lead to gains, particularly in coastal areas. The added value of km-scale simulations to describe temperature over complex orography: the CORDEX FPS-Convection multi-model ensemble runs over the Alps publishedVersion

Published
2022
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2. Land-atmosphere interactions in sub-polar and alpine climates in the CORDEX flagship pilot study Land Use and Climate Across Scales (LUCAS) models - Part 1: Evaluation of the snow-albedo effect

Author

Anne Sophie Daloz, Clemens Schwingshackl, Priscilla Mooney, Susanna Strada, Diana Rechid, Edouard L. Davin, Eleni Katragkou, Nathalie de Noblet-Ducoudré, Michal Belda, Tomas Halenka, Marcus Breil, Rita M. Cardoso, Peter Hoffmann, Daniela C. A. Lima, Ronny Meier, Pedro M. M. Soares, Giannis Sofiadis, Gustav Strandberg, Merja H. Toelle, Marianne T. Lund, Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), NORCE Norwegian Research Center, Abdus Salam International Centre for Theoretical Physics [Trieste] (ICTP), Climate Service Center [Hambourg] (GERICS), Helmholtz-Zentrum Geesthacht (GKSS), Oeschger Centre for Climate Change Research (OCCR), University of Bern, Aristotle University of Thessaloniki, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), 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), Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR), 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), Charles University [Prague] (CU), Karlsruhe Institute of Technology (KIT), Instituto Dom Luiz, Universidade de Lisboa = University of Lisbon (ULISBOA), Swedish Meteorological and Hydrological Institute (SMHI), Center for Environmental Systems Research [Kassel] (CESR), and Universität Kassel [Kassel]

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Earth sciences, 530 Physics, ddc:550, 000 Computer science, knowledge & systems, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Earth-Surface Processes, Water Science and Technology
Abstract

Seasonal snow cover plays a major role in the climate system of the Northern Hemisphere via its effect on land surface albedo and fluxes. In climate models the parameterization of interactions between snow and atmosphere remains a source of uncertainty and biases in the representation of local and global climate. Here, we evaluate the ability of an ensemble of regional climate models (RCMs) coupled with different land surface models to simulate snow–atmosphere interactions over Europe in winter and spring. We use a previously defined index, the snow-albedo sensitivity index (SASI), to quantify the radiative forcing associated with snow cover anomalies. By comparing RCM-derived SASI values with SASI calculated from reanalyses and satellite retrievals, we show that an accurate simulation of snow cover is essential for correctly reproducing the observed forcing over middle and high latitudes in Europe. The choice of parameterizations, and primarily the choice of the land surface model, strongly influences the representation of SASI as it affects the ability of climate models to simulate snow cover accurately. The degree of agreement between the datasets differs between the accumulation and ablation periods, with the latter one presenting the greatest challenge for the RCMs. Given the dominant role of land surface processes in the simulation of snow cover during the ablation period, the results suggest that, during this time period, the choice of the land surface model is more critical for the representation of SASI than the atmospheric model.

Published
2022

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

Author

Erika Coppola, Lidija Srnec, David Leutwyler, Volker Wulfmeyer, Thomas Frisius, Klaus Keuler, Josipa Milovac, Stefan Sobolowski, Paola Mercogliano, Merja Tölle, Pedro M. M. Soares, Paolo Stocchi, Heimo Truhetz, Torge Lorenz, Jesus Vergara-Temprado, Klaus Goergen, Alvaro Lavin-Gullon, Jesús Fernández, Antoinette Alias, Erwan Brisson, Ségolène Berthou, Geert Lenderink, Ole Bøssing Christensen, Øivind Hodnebrog, Ivonne Anders, Jan Erik Haugen, Filippo Giorgi, Lluis Fita, Goran Gašparac, Danijel Belušić, Kirsten Warrach-Sagi, Marianna Adinolfi, Cécile Caillaud, Rita M. Cardoso, Hylke de Vries, Armelle Reca Remedio, Sophie Bastin, Steven Chan, Stergios Kartsios, Nikolina Ban, Hans-Jürgen Panitz, Elizabeth J. Kendon, Eleni Katragkou, Douglas Maraun, Birthe Marie Rødssæteren Steensen, Bodo Ahrens, Mario Raffa, Mar Janne Zander, Christoph Schär, Emanuela Pichelli, Department of Atmospheric and Cryosphere Sciences [Innsbruck] (ACINN), Leopold Franzens Universität Innsbruck - University of Innsbruck, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Abdus Salam International Centre for Theoretical Physics [Trieste] (ICTP), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), REgional Model and geo-Hydrological Impacts (REMHI), Euro-Mediterranean Center on Climate Change (CMCC), Institute for Atmospheric and Environmental Sciences [Frankfurt/Main] (IAU), Goethe-University Frankfurt am Main, Deutsches Klimarechenzentrum [Hamburg] (DKRZ), SPACE - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Swedish Meteorological and Hydrological Institute (SMHI), Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], Instituto Dom Luiz, Universidade de Lisboa (ULISBOA), Newcastle University [Newcastle], Danish Meteorological Institute (DMI), Santander Meteorology Group, Departamento de Matemática Aplicada y Ciencias de la Computación, Universidad de Cantabria [Santander]-Universidad de Cantabria [Santander], Centro de Investigaciones del Mar y la Atmósfera (CIMA), Facultad de Ciencias Exactas y Naturales [Buenos Aires] (FCEyN), Universidad de Buenos Aires [Buenos Aires] (UBA)-Universidad de Buenos Aires [Buenos Aires] (UBA)-Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Climate Service Center [Hambourg] (GERICS), Helmholtz-Zentrum Geesthacht (GKSS), Croatia Control Ltd., Institute of Bio- and Geosciences [Jülich] (IBG), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Centre for High-Performance Scientific Computing in Terrestrial Systems (HPSC TerrSys), Norwegian Meteorological Institute [Oslo] (MET), Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), Department of Meteorology and Climatology [Thessaloniki], Aristotle University of Thessaloniki, Brandenburg University of Technology [Cottbus – Senftenberg] (BTU), Instituto de Física de Cantabria (IFCA), Universidad de Cantabria [Santander]-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Royal Netherlands Meteorological Institute (KNMI), Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Wegener Center for Climate and Global Change (WEGC), University of Graz, Institute for Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT), Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Croatian Meteorological and Hydrological Service (DHMZ), CNR Institute of Atmospheric Sciences and Climate (ISAC), Consiglio Nazionale delle Ricerche (CNR), Center for Environmental Systems Research [Kassel] (CESR), Universität Kassel [Kassel], Institute of Physics and Meteorology [Stuttgart] (IPM), University of Hohenheim, Department of Environmental Sciences [Wageningen], Wageningen University and Research [Wageningen] (WUR), Universidad de Cantabria, 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)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Universidade de Lisboa = University of Lisbon (ULISBOA), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Facultad de Ciencias Exactas y Naturales [Buenos Aires] (FCEyN), Universidad de Buenos Aires [Buenos Aires] (UBA)-Universidad de Buenos Aires [Buenos Aires] (UBA), Karl-Franzens-Universität Graz, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Forschungszentrum Jülich GmbH, University of Innsbruck, European Commission, Ministerio de Economía y Competitividad (España), Météo France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), and Karl-Franzens-Universität [Graz, Autriche]

Subjects
Convection, Kilometer-scale resolution, Atmospheric Science, Climate Research, Scale (ratio), 010504 meteorology & atmospheric sciences, 0207 environmental engineering, Climate change, 02 engineering and technology, Precipitation, Hydrology and Quantitative Water Management, 01 natural sciences, Klimatforskning, Kilometer, ddc:550, 020701 environmental engineering, health care economics and organizations, 0105 earth and related environmental sciences, regional climate models, multi-model ensemble, high-resolution, precipitation, convection, WIMEK, Multi-model ensemble simulations, Resolution (electron density), Regional climate models, Summer season, Earth sciences, 13. Climate action, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Climatology, Environmental science, Climate model, Scale (map), Intensity (heat transfer), Hydrologie en Kwantitatief Waterbeheer
Abstract

N. Ban et al., 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., Open access funding provided by University of Innsbruck and Medical University of Innsbruck., The ETH team, MZ, CNRM IPSL, ICTP, SMHI, Met-Office, DMI, CMCC, HZG, KNMI acknowledge funding from the HORIZON 2020 EUCP (European Climate Prediction System) project (https://www.eucp-project.eu, grant agreement No. 776613). AL-G acknowledges support by the Spanish government through grant BES-2016-078158 and MINECO/FEDER co-funded project MULTI-SDM (CGL2015-66583-R).

Published
2021

4. 'Quivi intagliato in un atto soave': la soavità terapeutica del 'visibile parlare' in PurgatorioX

Author

Cuif, Anne-Gaelle, Center for Environmental Systems Research [Kassel] (CESR), Universität Kassel [Kassel], Università degli studi di Torino (UNITO), and Università degli studi di Torino = University of Turin (UNITO)

Subjects
Douceur, Arti visive, [SHS.LITT]Humanities and Social Sciences/Literature, Purgatorio, Dante Alighieri 1265-1321, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2020

5. Simulating river flow velocity on global scale

Author

Petra Döll, Martin Hunger, Kerstin Schulze, Center for Environmental Systems Research [Kassel] (CESR), Universität Kassel [Kassel], Institute of Physical Geography, and EGU, Publication

Subjects
010504 meteorology & atmospheric sciences, Meteorology, Scale (ratio), lcsh:Dynamic and structural geology, 0207 environmental engineering, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, 02 engineering and technology, Surface finish, Residence time (fluid dynamics), 01 natural sciences, lcsh:QE500-639.5, Streamflow, Extensive data, ddc:550, 020701 environmental engineering, lcsh:Science, SIMPLE algorithm, Physics::Atmospheric and Oceanic Physics, 0105 earth and related environmental sciences, lcsh:QE1-996.5, General Medicine, Mechanics, 6. Clean water, lcsh:Geology, Flow velocity, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, Environmental science, lcsh:Q, Flow routing
Abstract

Flow velocity in rivers has a major impact on residence time of water and thus on high and low water as well as on water quality. For global scale hydrological modeling only very limited information is available for simulating flow velocity. Based on the Manning-Strickler equation, a simple algorithm to model temporally and spatially variable flow velocity was developed with the objective of improving flow routing in the global hydrological model of WaterGAP. An extensive data set of flow velocity measurements in US rivers was used to test and to validate the algorithm before integrating it into WaterGAP. In this test, flow velocity was calculated based on measured discharge and compared to measured velocity. Results show that flow velocity can be modeled satisfactorily at selected river cross sections. It turned out that it is quite sensitive to river roughness, and the results can be optimized by tuning this parameter. After the validation of the approach, the tested flow velocity algorithm has been implemented into the WaterGAP model. A final validation of its effects on the model results is currently performed.

Published
2005

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