Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Large-eddy simulations over Germany using ICON: A comprehensive evaluation

Heinze, R., Dipankar, A., Henken, C. C., Moseley, C., Sourdeval, O., Trömel, S., et al. (2017). Large-eddy simulations over Germany using ICON: A comprehensive evaluation. Quarterly Journal of the Royal Meteorological Society, 143, 69-100. doi:10.1002/qj.2947.

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
qj2947.pdf (Verlagsversion), 97MB
Name:
qj2947.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Heinze, Rieke1, Autor           
Dipankar, Anurag2, Autor           
Henken, Cintia Carbajal, Autor
Moseley, Christopher2, Autor           
Sourdeval, Odran, Autor
Trömel, Silke, Autor
Xie, Xinxin, Autor
Adamidis, Panos, Autor
Ament, Felix3, Autor           
Baars, Holger, Autor
Barthlott, Christian, Autor
Behrendt, Andreas, Autor
Blahak, Ulrich, Autor
Bley, Sebastian, Autor
Brdar, Slavko, Autor
Brueck, Matthias1, Autor           
Crewell, Susanne, Autor
Deneke, Hartwig, Autor
Girolamo, Paolo Di, Autor
Evaristo, Raquel, Autor
Fischer, Jürgen, AutorFrank, Christopher, AutorFriederichs, Petra, AutorGöcke, Tobias, AutorGorges, Ksenia, AutorHande, Luke, AutorHanke, Moritz, AutorHansen, Akio, AutorHege, Hans-Christian, AutorHoose, Corinna, AutorJahns, Thomas, AutorKalthoff, Norbert, AutorKlocke, Daniel, AutorKneifel, Stefan, AutorKnippertz, Peter, AutorKuhn, Alexander, Autorvan Laar, Thirza, AutorMacke, Andreas, AutorMaurer, Vera, AutorMayer, Bernhard, AutorMeyer, Catrin I., AutorMuppa, Shravan K., AutorNeggers, Roeland A. J., AutorOrlandi, Emiliano, AutorPantillon, Florian, AutorPospichal, Bernhard, AutorRöber , Niklas4, AutorScheck, Leonhard, AutorSeifert, Axel, AutorSeifert, Patric, AutorSenf, Fabian, AutorSiligam, Pavan, AutorSimmer, Clemens, AutorSteinke, Sandra, AutorStevens, Bjorn5, Autor           Wapler, Kathrin, AutorWeniger, Michael, AutorWulfmeyer, Volker, AutorZängl, Gunther, AutorZhang, Dan, AutorQuaas, Johannes, Autor            mehr..
Affiliations:
1Hans Ertel Research Group Clouds and Convection, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_913572              
2Climate Modelling, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_913569              
3I 1 - Integrated Climate Data Center, Integrated Activities, The CliSAP Cluster of Excellence, External Organizations, ou_1863485              
4I 5 - Visualization, Integrated Activities, The CliSAP Cluster of Excellence, External Organizations, Bundesstraße 53, 20146 Hamburg, DE, ou_1863496              
5Director’s Research Group AES, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_913570              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Large-eddy simulations (LES) with the new ICOsahedral Non-hydrostatic atmosphere model (ICON) covering Germany are evaluated for four days in spring 2013 using observational data from various sources. Reference simulations with the established Consortium for Small-scale Modelling (COSMO) numerical weather prediction model and further standard LES codes are performed and used as a reference. This comprehensive evaluation approach covers multiple parameters and scales, focusing on boundary-layer variables, clouds and precipitation. The evaluation points to the need to work on parametrizations influencing the surface energy balance, and possibly on ice cloud microphysics. The central purpose for the development and application of ICON in the LES configuration is the use of simulation results to improve the understanding of moist processes, as well as their parametrization in climate models. The evaluation thus aims at building confidence in the model's ability to simulate small- to mesoscale variability in turbulence, clouds and precipitation. The results are encouraging: the high-resolution model matches the observed variability much better at small- to mesoscales than the coarser resolved reference model. In its highest grid resolution, the simulated turbulence profiles are realistic and column water vapour matches the observed temporal variability at short time-scales. Despite being somewhat too large and too frequent, small cumulus clouds are well represented in comparison with satellite data, as is the shape of the cloud size spectrum. Variability of cloud water matches the satellite observations much better in ICON than in the reference model. In this sense, it is concluded that the model is fit for the purpose of using its output for parametrization development, despite the potential to improve further some important aspects of processes that are also parametrized in the high-resolution model.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2016-062016-102017-012017-01
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/qj.2947
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden: ausblenden:
Projektname : HD(CP)2
Grant ID : -
Förderprogramm : -
Förderorganisation : -

Quelle 1

einblenden:
ausblenden:
Titel: Quarterly Journal of the Royal Meteorological Society
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Reading, Berkshire, England [etc.] : Royal Meteorological Society.
Seiten: - Band / Heft: 143 Artikelnummer: - Start- / Endseite: 69 - 100 Identifikator: ISSN: 0035-9009
CoNE: https://pure.mpg.de/cone/journals/resource/954925442598