Comparison of a Split-window and a Multi-spectral Cloud Classification for MODIS Observations
スポンサーリンク
概要
- 論文の詳細を見る
Results of the split-window cloud retrieval method and the new Meteosat Second Generation cloud analysis method (MSG/CLA), have been compared for MODIS data over the west Atlantic Ocean. Very good agreement is obtained for the classification of optically thick ice and water clouds. Differences are found for thin cirrus, thin water clouds and at cloud edges. These differences are explained by the fact that MSG/CLA also uses spectral channels of 3.9, 6.2, and 8.7 μm in addition to the split-window, which provides information over and above the split-window observations. Some of the disagreement at cloud edges is interpreted as inter-channel miss-alignment. The analysis in this study also confirms that an optically thin water cloud can be correctly classified by the MSG/CLA method.
- 社団法人日本気象学会の論文
- 2003-06-25
著者
-
Inoue Toshiro
Meteorological Res. Institute/jma
-
Inoue T
Meteorological Research Institute
-
LUTZ Hans-Joachim
EUMETSAT
-
SCHMETZ Johannes
EUMETSAT
関連論文
- Characteristics of Cloud Size of Deep Convection Simulated by a Global Cloud Resolving Model over the Western Tropical Pacific(The International Workshop on High-Resolution and Cloud Modeling, 2006)
- Reason for the Failure of the Simulation of Heavy Rainfall during X-BAIU-01 : Importance of a Vertical Profile of Water Vapor for Numerical Simulations
- Statistical Relationship between ISCCP Cloud Type and Vertical Relative Humidity Profile
- Radiative Effects of Various Cloud Types as Classified by the Split Window Technique over the Eastern Sub-tropical Pacific Derived from Collocated ERBE and AVHRR Data
- Comparison of a Split-window and a Multi-spectral Cloud Classification for MODIS Observations
- Characteristics of deep convection over the Amazonia during LBA using GOES and PR/TRMM data