Treffer: Model predicted low-level cloud parameters. Part II: Comparison with satellite remote sensing observations during the BALTEX Bridge Campaigns

Title:
Model predicted low-level cloud parameters. Part II: Comparison with satellite remote sensing observations during the BALTEX Bridge Campaigns
Authors:
SCHRÖDER, Marc, VAN LIPZIG, Nicole P. M, AMENT, Felix, CHABOUREAU, Jean-Pierre, CREWELL, Susanne, FISCHER, Jürgen, MATTHIAS, Volker, VAN MEIJGAARD, Erik, WALTHER, Andi, WILLEN, Ulrika
Source:
14th International Conference on Clouds and Precipitation (ICCP), Bologna, Italy, 18-23 July 2004Atmospheric research. 82(1-2):83-101
Publisher Information:
Amsterdam: Elsevier, 2006.
Publication Year:
2006
Physical Description:
print, 1 p.1/4
Original Material:
INIST-CNRS
Subject Terms:
Climatology, meteorology, Climatologie, météorologie, Sciences exactes et technologie, Exact sciences and technology, Terre, ocean, espace, Earth, ocean, space, Geophysique externe, External geophysics, Météorologie, Meteorology, Physique des nuages, Cloud physics, Géophysique. Techniques, méthodes, appareillage et modèles, Geophysics. Techniques, methods, instrumentation and models, Europe, Europa, Campagne mesure, Measurement campaign, Campaña medida, Donnée observation, Observation data, Dato observación, Echelon régional, Regional scope, Escala regional, Epaisseur optique, Optical thickness, Espesor óptico, Modèle atmosphère, Atmosphere model, Modelo atmósfera, Modèle climat, Climate models, Modèle prévision, Forecast model, Modelo previsión, Nuage, clouds, Nube, Nébulosité, Cloudiness, Nebulosidad, Observation par satellite, Satellite observation, Observación por satélite, Performance algorithme, algorithm performance, Prévision météorologique, Weather forecast, Previsión meteorológica, Prévision numérique, Numerical forecast, Previsión numérica, Satellite Terra, Terra satellite, Satélite Terra, Satellite défilement, Polar orbiting satellite, Simulation numérique, digital simulation, Simulación numérica, Télédétection spatiale, Space remote sensing, Teledetección espacial, MODIS, Non-hydrostatic models, Patchiness, Satellite remote sensing
Subject Geographic:
Europe Ouest, Western Europe, Europa del Oeste, Pays Bas, Netherlands, Holanda
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Institut für Weltraumwissenschaften, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6-10, 12165 Berlin, Germany
Metearologisches Institut, Universität Munchen, Munchen, Germany
Meteorologisches Institut, Universität Bonn, Bonn, Germany
Laboratoire d'Aerologie, OMP, Toulouse, France
Institut für Küstenjorschung, GKSS, Geesthacht, Germany
Royal Netherlands Meteorological Institute, KNMI, DeBilt, Netherlands
Rosshy Center, SMHI, Norrköping, Sweden
ISSN:
0169-8095
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18282588
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
External geophysics
Accession Number:
edscal.18282588
Database:
PASCAL Archive

Weitere Informationen

A pressing task in numerical weather prediction and climate modelling is the evaluation of modelled cloud fields. Recent progress in spatial and temporal resolution of satellite remote sensing increases the potential of such evaluation efforts. This paper presents new methodologies to compare satellite remote sensing observations of clouds and output of atmospheric models and demonstrates their usefulness for evaluation. The comparison is carried out for two MODerate resolution Imaging Spectrometer (MODIS) scenes from the BALTEX Bridge Campaigns. Both scenes are characterised by low-level clouds with a substantial amount of liquid water. Cloud cover and cloud optical thickness of five different models, LM, Méso-NH, MM5 (non-hydrostatic models), RACMO2, and RCA (regional climate models) as well as corresponding retrievals from high resolution remote sensing observations of MODIS onboard the Terra satellite form the basis of a statistical analysis to compare the data sets. With the newly introduced patchiness parameters it is possible to separate differences between the two scenes on the one hand and between the models and the satellite on the other hand. We further introduce a new approach to spatially aggregate cloud optical thickness. Generally the models overestimate cloud optical thickness which can in part be ascribed to the lack of subgrid-scale variability. However, LM underestimates the frequency of occurrence of cloud optical thickness at values around 25. Furthermore, we compare the standard operational output of the non-hydrostatic models to simulations of the same models including parameterised shallow convection. However, clear improvements in the representation of low-level clouds are not found for these models. A change of the coefficients for autoconversion in RCA shows that LWP and precipitation strongly depend on this parameter. Refined vertical resolution, implemented in RACMO2, leads to a better agreement between model and satellite but still leaves room for further improvements. In general, this study reveals deficiencies of the models in representing low-level clouds, in particular for a stratiform cloud.