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The MSG-SEVIRI-based cloud property data record CLAAS-2

delete2017-07-10
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OA
AI
N
Nikos Benas *
S
Stephan Finkensieper
M
Martin Stengel
G
Gerd‐Jan van Zadelhoff
T
Timo Hanschmann
R
Rainer Hollmann
J
Jan Fokke Meirink
DOI:10.5194/essd-9-415-2017delete
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摘要

摘要

En 中文
Clouds play a central role in the Earth's atmosphere, and satellite observations are crucial for monitoring clouds and understanding their impact on the energy budget and water cycle. Within the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Satellite Application Facility on Climate Monitoring (CM SAF), a new cloud property data record was derived from geostationary Meteosat Spinning Enhanced Visible and Infrared Imager (SEVIRI) measurements for the time frame 2004-2015. The resulting CLAAS-2 (CLoud property dAtAset using SEVIRI, Edition 2) data record is publicly available via the CM SAF website (https://doi.org/10.5676/EUM_SAF_CM/CLAAS/V002). In this paper we present an extensive evaluation of the CLAAS-2 cloud products, which include cloud fractional coverage, thermodynamic phase, cloud top properties, liquid/ice cloud water path and corresponding optical thickness and particle effective radius. Data validation and comparisons were performed on both level 2 (native SEVIRI grid and repeat cycle) and level 3 (daily and monthly averages and histograms) with reference datasets derived from lidar, microwave and passive imager measurements. The evaluation results show very good overall agreement with matching spatial distributions and temporal variability and small biases attributed mainly to differences in sensor characteristics, retrieval approaches, spatial and temporal samplings and viewing geometries. No major discrepancies were found. Underpinned by the good evaluation results, CLAAS-2 demonstrates that it is fit for the envisaged applications, such as process studies of the diurnal cycle of clouds and the evaluation of regional climate models. The data record is planned to be extended and updated in the future.
Keyword:
RADIATIVE-TRANSFER MODEL
REGIONAL CLIMATE MODEL
CM SAF CLOUD
AVHRR
ASSIMILATION
MODIS
RETRIEVALS
VALIDATION
FACILITY
RADIUS

期刊

Earth System Science Data 封面图
Earth System Science Data
IF:
11.6
论文数:
2.3K
被引数:
2.0W

机构

R
Royal Netherlands Meteorological Institute
学者数:
1.3K
论文数: 1.3K
被引数: 2.7K
D
deutscher wetterdienst
学者数:
731
论文数: 528
被引数: 0
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