MTSAT-1R 정지기상위성 자료를 이용한 전운량 산출 알고리즘 개발

Development of Cloud Amount Calculation Algorithm using MTSAT-1R Satellite Data

  • 이병일 (기상연구소 원격탐사연구실) ;
  • 김윤재 (기상연구소 원격탐사연구실) ;
  • 정주용 (기상연구소 원격탐사연구실) ;
  • 이상희 (기상연구소 원격탐사연구실) ;
  • 오성남 (기상연구소 원격탐사연구실)
  • Lee, Byung-Il (Remote Sensing Research Laboratory, Meteorological Research Institute) ;
  • Kim, Yoonjae (Remote Sensing Research Laboratory, Meteorological Research Institute) ;
  • Chung, Chu-Yong (Remote Sensing Research Laboratory, Meteorological Research Institute) ;
  • Lee, Sang-Hee (Remote Sensing Research Laboratory, Meteorological Research Institute) ;
  • Oh, Sung-Nam (Remote Sensing Research Laboratory, Meteorological Research Institute)
  • 투고 : 2007.02.20
  • 심사 : 2007.05.14
  • 발행 : 2007.06.30

초록

Cloud amount calculation algorithm was developed using MTSAT-1R satellite data. The cloud amount is retrieved at 5 km ${\times}$ 5 km over the Korean Peninsula and adjacent sea area. The algorithm consists of three steps that are cloud detection, cloud type classification, and cloud amount calculation. At the first step, dynamic thresholds method was applied for detecting cloud pixels. For using objective thresholds in the algorithm, sensitivity test was performed for TBB and Albedo variation with temporal and spatial change. Detected cloud cover was classified into 3 cloud types (low-level cloud, cirrus or uncertain cloud, and cumulonimbus type high-level cloud) in second step. Finally, cloud amount was calculated by the integration method of the steradian angle of each cloud pixel over $3^{\circ}$ elevation. Calculated cloud amount was compared with measured cloud amount with eye at surface observatory for the validation. Bias, RMSE, and correlation coefficient were 0.4, 1.8, and 0.8, respectively. Validation results indicated that calculated cloud amount was a little higher than measured cloud amount but correlation was considerably high. Since calculated cloud amount has 5km ${\times}$ 5km resolution over Korean Peninsula and adjacent sea area, the satellite-driven cloud amount could show the possibility which overcomes the temporal and spatial limitation of measured cloud amount with eye at surface observatory.

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