DEVELOPMENT OF CLOUD MASK PRODUCT USING HIMAWARI-8/AHI “JAPAN AREA” DATA

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Research areas:
Year:
2016
Type of Publication:
Proceedings
Keywords:
threshold tests, cloud detection, geostationary satellite
Authors:
Akatsuka, Shin; Matsuoka, Masayuki; Oyoshi, Kei; Takeuchi, Wataru; Takagi, Masataka
Abstract:
Himawari-8 is the new Japanese geostationary satellite, which was launched on October 7th, 2014. Then the operation started on July 7th, 2015. Himawari-8 carries the Advanced Himawari Imager (AHI). Since the sensor specifications of AHI have been improved, Himawari-8/AHI can expect to be utilized not only for the meteorological monitoring, but also the environmental monitoring of land surface. In order to obtain accurate land surface parameters using satellite data, the discrimination of the cloud-contaminated pixels from cloud-free pixels is required. This study demonstrates the cloud mask production method for Himawari-8/AHI “Japan Area” data in summer and winter season. This method is based on multiple threshold tests and refers to a neutral cloud detection algorithm, which is not biased to either clear or cloudy. The algorithm is based on CLOUDIA, which is the cloud screening algorithm for GOSAT/CAI, and it is mainly composed of three parts; Reflectance tests, Brightness Temperature tests, and Integration of these tests. The cloud mask products were validated using the cloud amount data of Japan Meteorological Agency, which is ground observation data. The result showed in summer was 85.7%, and that in winter was 81.6%. However, it was revealed that the cloud detection method of this study tends to identify clear pixels as cloudy especially in winter.
Full text: Ab 0498.pdf [Bibtex]
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