Translated Titles

The Application of GMS Digital Image Data to Cloud Analysis


林博雄(Po-Hsieng Lin);曾忠一(Chung-Yi Tseng)

Key Words

地球同步衛星 ; 雲分析 ; 雲參數遙測 ; Geosynchronous satellite ; Nephanalysis ; Remote sensing of cloud parameters



Volume or Term/Year and Month of Publication

22卷3期(1994 / 09 / 01)

Page #

319 - 337

Content Language


Chinese Abstract


English Abstract

The traditional, visual method for satellite cloud map analysis has the problems in judgemental error and vision constraint by human eyes. Quantitative and automatical analysis of satellite cloud map can help to combine numerical weather prediction products and cloud information more efficiently. This paper attempts to outline a data analysis procedure, which use the GMS digital data and TOGA advanced grid data from European Centre of Medium-range Weather Forecasts. The case was chosen on 0000GMT 12 June, 1990, in East Asia area. There are Mei-Yu (Baiu) frontal system, cumulus convections and cloud clusters near the equator. We first discuss the limb darkening phenomenon in infrared band and the correction algorithm. By using LOWTRAN package the correction function is found to be (secθ)^(1/8). After the correction stage reflectivity and brightness temperature were remapped into about 150km square to match the ECMWF numerical dataset. Then the grid average of cloud amount, cloud top temperature and cloud reflectivity were retrieved. We also follow the spatial coherence method to compute cloud top temperature in the satellite grid area. Finally, the quantitative analyses of GMS satellite visible and infrared digital data were done in two paths. One approach is using box classifer idea which uses several intervals of cloud top temperature and reflectivity. Five cloud patterns were assigned as five interval boxes. The second approach is the same as the idea of Japan Meteorological Satellite Center. Three degrees of cloud top height were seperated and identified in the space. The spatial distribution of these cloud patterns and cloud height degree catch most synoptic features. The comparison between these cloud analyses and ECMWF vertical velocity field has a good agreement but the convective available potential energy (CAPE) variable fails to fit these cloud analyses position.

Topic Category 基礎與應用科學 > 大氣科學
Times Cited
  1. 孫天德(2006)。類神經網路在衛星雲圖推估降雨量之研究。中原大學土木工程研究所學位論文。2006。1-124。