Title :

The Added Value of Large-eddy and Storm-resolving Models for Simulating Clouds and Precipitation

Author(s) :

STEVENS, Bjorn [Auteur]
Max Planck Institute for Meteorology [MPI-M]
Acquistapace, Claudia [Auteur]
Universität zu Köln = University of Cologne
HANSEN, Akio [Auteur]
Universität Hamburg [UHH]
Heinze, Rieke [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
KLINGER, Carolin [Auteur]
Ludwig-Maximilians University [Munich] [LMU]
KLOCKE, Daniel [Auteur]
Hans Ertel Zentrum für Wetterforschung [Offenbach]
RYBKA, Harald [Auteur]
Deutscher Wetterdienst [Offenbach] [DWD]
SCHUBOTZ, Wiebke [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
WINDMILLER, Julia [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
ADAMIDIS, Panagiotis [Auteur]
Deutsches Klimarechenzentrum [Hamburg] [DKRZ]
ARKA, Ioanna [Auteur]
Deutsches Zentrum für Luft- und Raumfahrt [DLR]
BARLAKAS, Vasileios [Auteur]
Leibniz-Institut für Troposphärenforschung [TROPOS]
BIERCAMP, Joachim [Auteur]
Deutsches Klimarechenzentrum [Hamburg] [DKRZ]
Brueck, Matthias [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
BRUNE, Sebastian [Auteur]
Universität Bonn = University of Bonn
BUEHLER, Stefan A. [Auteur]
Universität Hamburg [UHH]
Burkhardt, Ulrike [Auteur]
Deutsches Zentrum für Luft- und Raumfahrt [DLR]
Cioni, Guido [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
Costa-Surós, Montserrat [Auteur]
Universität zu Köln = University of Cologne
Crewell, Susanne [Auteur]
Universität zu Köln = University of Cologne
CRÜGER, Traute [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
Deneke, Hartwig [Auteur]
Leibniz Institute for Tropospheric Research [TROPOS]
FRIEDERICHS, Petra [Auteur]
Universität Bonn = University of Bonn
HENKEN, Cintia Carbajal [Auteur]
Freie Universität Berlin
Hohenegger, CATHY [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
JACOB, Marek [Auteur]
Universität zu Köln = University of Cologne
JAKUB, Fabian [Auteur]
Ludwig-Maximilians University [Munich] [LMU]
KALTHOFF, Norbert [Auteur]
Karlsruher Institut für Technologie [KIT]
KÖHLER, Martin [Auteur]
Deutscher Wetterdienst [Offenbach] [DWD]
van LAAR, Thirza W. [Auteur]
Universität zu Köln = University of Cologne
LI, Puxi [Auteur]
Chinese Academy of Sciences [Beijing] [CAS]
Chinese Academy of Meteorological Sciences [CAMS]
LÖHNERT, Ulrich [Auteur]
Universität zu Köln = University of Cologne
MACKE, Andreas [Auteur]
Leibniz Institute for Tropospheric Research [TROPOS]
Madenach, Nils [Auteur]
Freie Universität Berlin
MAYER, Bernhard [Auteur]
Ludwig-Maximilians University [Munich] [LMU]
NAM, Christine [Auteur]
Climate Service Center [Hambourg] [GERICS]
NAUMANN, Ann Kristin [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
PETERS, Karsten [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
POLL, Stefan [Auteur]
Universität Bonn = University of Bonn
Quaas, Johannes [Auteur]
Universität Leipzig
RÖBER, Niklas [Auteur]
Deutsches Klimarechenzentrum [Hamburg] [DKRZ]
ROCHETIN, Nicolas [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
SCHECK, Leonhard [Auteur]
Deutscher Wetterdienst [Offenbach] [DWD]
SCHEMANN, Vera [Auteur]
Universität zu Köln = University of Cologne
SCHNITT, Sabrina [Auteur]
Institut für Energie- und Klimaforschung - Troposphäre [IEK-8]
Seifert, Axel [Auteur]
Deutscher Wetterdienst [Offenbach] [DWD]
Senf, Fabian [Auteur]
Leibniz Institute for Tropospheric Research [TROPOS]
SHAPKALIJEVSKI, Metodija [Auteur]
Freie Universität Berlin
SIMMER, Clemens [Auteur]
Universität Bonn = University of Bonn
SINGH, Shweta [Auteur]
Karlsruher Institut für Technologie [KIT]
Sourdeval, Odran [Auteur]
Universität Leipzig
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
SPICKERMANN, Dela [Auteur]
Deutsches Klimarechenzentrum [Hamburg] [DKRZ]
STRANDGREN, Johan [Auteur]
Deutsches Zentrum für Luft- und Raumfahrt [DLR]
TESSIOT, Octave [Auteur]
Ecole Normale Supérieure Paris-Saclay [ENS Paris Saclay]
VERCAUTEREN, Nikki [Auteur]
Freie Universität Berlin
VIAL, Jessica [Auteur]
Max-Planck-Institut für Meteorologie [MPI-M]
VOIGT, Aiko [Auteur]
Lamont-Doherty Earth Observatory [LDEO]
Karlsruher Institut für Technologie [KIT]
ZÄNGL, Günter [Auteur]
Deutscher Wetterdienst [Offenbach] [DWD]

Journal title :

Journal of the Meteorological Society of Japan

Volume number :

98

Pages :

395-435

Publisher :

Meteorological Society of Japan

Publication date :

2020-04

ISSN :

0026-1165

English keyword(s) :

storm-resolving models
large-eddy simulation
clouds
precipitation
climate change
cloud-resolving models

HAL domain(s) :

Planète et Univers [physics]/Océan, Atmosphère

English abstract : [en]

More than one hundred days were simulated over very large domains with fine (0.156 km to 2.5 km) grid spacing for realistic conditions to test the hypothesis that storm (kilometer) and large-eddy (hectometer) resolving ...
Show more >More than one hundred days were simulated over very large domains with fine (0.156 km to 2.5 km) grid spacing for realistic conditions to test the hypothesis that storm (kilometer) and large-eddy (hectometer) resolving simulations would provide an improved representation of clouds and precipitation in atmospheric simulations. At scales that resolve convective storms (storm-resolving for short), the vertical velocity variance becomes resolved and a better physical basis is achieved for representing clouds and precipitation. Similarly to past studies we found an improved representation of precipitation at kilometer scales, as compared to models with parameterized convection. The main precipitation features (location, diurnal cycle and spatial propagation) are well captured already at kilometer scales, and refining resolution to hectometer scales does not substantially change the simulations in these respects. It does, however, lead to a reduction in the precipitation on the time-scales considered – most notably over the ocean in the tropics. Changes in the distribution of precipitation, with less frequent extremes are also found in simulations incorporating hectometer scales. Hectometer scales appear to be more important for the representation of clouds, and make it possible to capture many important aspects of the cloud field, from the vertical distribution of cloud cover, to the distribution of cloud sizes, and to the diel (daily) cycle. Qualitative improvements, particularly in the ability to differentiate cumulus from stratiform clouds, are seen when one reduces the grid spacing from kilometer to hectometer scales. At the hectometer scale new challenges arise, but the similarity of observed and simulated scales, and the more direct connection between the circulation and the unconstrained degrees of freedom make these challenges less daunting. This quality, combined with already improved simulation as compared to more parameterized models, underpins our conviction that the use and further development of storm-resolving models offers exciting opportunities for advancing understanding of climate and climate change.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS

Collections :

• Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518

Research team(s) :

Interactions Rayonnement Nuages (IRN)

Submission date :

2023-01-06T12:28:21Z
2023-01-13T09:51:31Z
2023-01-13T10:00:47Z