A threshold-based cloud mask for the high-resolution visible channel of Meteosat Second Generation SEVIRI

被引:32
作者
Bley, S. [1 ]
Deneke, H. [1 ]
机构
[1] Leibniz Inst Tropospher Res TROPOS, D-04318 Leipzig, Germany
关键词
CLEAR-SKY; PART I; WATER PATH; RADIANCES; SENSITIVITY; ALGORITHM;
D O I
10.5194/amt-6-2713-2013
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A threshold-based cloud mask for the high-resolution visible (HRV) channel (1 x 1 km(2)) of the Meteosat SEVIRI (Spinning Enhanced Visible and Infrared Imager) instrument is introduced and evaluated. It is based on operational EUMETSAT cloud mask for the low-resolution channels of SEVIRI (3 x 3 km(2)), which is used for the selection of suitable thresholds to ensure consistency with its results. The aim of using the HRV channel is to resolve small-scale cloud structures that cannot be detected by the low-resolution channels. We find that it is of advantage to apply thresholds relative to clear-sky reflectance composites, and to adapt the threshold regionally. Furthermore, the accuracy of the different spectral channels for thresholding and the suitability of the HRV channel are investigated for cloud detection. The case studies show different situations to demonstrate the behavior for various surface and cloud conditions. Overall, between 4 and 24% of cloudy low-resolution SEVIRI pixels are found to contain broken clouds in our test data set depending on considered region. Most of these broken pixels are classified as cloudy by EUMETSAT's cloud mask, which will likely result in an overestimate if the mask is used as an estimate of cloud fraction. The HRV cloud mask aims for small-scale convective sub-pixel clouds that are missed by the EUMETSAT cloud mask. The major limit of the HRV cloud mask is the minimum cloud optical thickness (COT) that can be detected. This threshold COT was found to be about 0.8 over ocean and 2 over land and is highly related to the albedo of the underlying surface.
引用
收藏
页码:2713 / 2723
页数:11
相关论文
共 30 条
[1]  
[Anonymous], P 2010 EUMETSAT MET
[2]  
[Anonymous], CLOUD DET MSG ALG TH
[3]   Simulating Meteosat-7 broadband radiances using two visible channels of Meteosat-8 [J].
Cros, S ;
Albuisson, M ;
Wald, L .
SOLAR ENERGY, 2006, 80 (03) :361-367
[4]   Downscaling of METEOSAT SEVIRI 0.6 and 0.8 μm channel radiances utilizing the high-resolution visible channel [J].
Deneke, H. M. ;
Roebeling, R. A. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2010, 10 (20) :9761-9772
[5]  
Derrien M, 2010, ALGORITHM THEORETICA
[6]   SENSITIVITY ANALYSIS OF THE EQUATIONS FOR A CONVECTIVE MIXED LAYER [J].
DRIEDONKS, AGM .
BOUNDARY-LAYER METEOROLOGY, 1982, 22 (04) :475-480
[7]   NWCSAF AVHRR cloud detection and analysis using dynamic thresholds and radiative transfer modeling. Part I: Algorithm description [J].
Dybbroe, A ;
Karlsson, KG ;
Thoss, A .
JOURNAL OF APPLIED METEOROLOGY, 2005, 44 (01) :39-54
[8]  
Forster P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129
[9]   Cloud detection with MODIS. Part I: Improvements in the MODIS cloud mask for collection 5 [J].
Frey, Richard A. ;
Ackerman, Steven A. ;
Liu, Yinghui ;
Strabala, Kathleen I. ;
Zhang, Hong ;
Key, Jeffrey R. ;
Wang, Xuangi .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2008, 25 (07) :1057-1072
[10]   Using MSG-SEVIRI Cloud Physical Properties and Weather Radar Observations for the Detection of Cb/TCu Clouds [J].
Henken, Cintia Carbajal ;
Schmeits, Maurice J. ;
Deneke, Hartwig ;
Roebeling, Rob A. .
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2011, 50 (07) :1587-1600