2014年10月日本新一代的氣象同步衛星向日葵八號(Himawari-8)被送上軌道，其搭載涵蓋可見光、近紅外線與紅外線波段的Advanced Himawari Imager (AHI)，提供高時間（10分鐘一筆）、高空間（2公里）解析度與多光譜（16個頻道）的觀測。本文將藉由AHI的觀測，反演高時空解析度雲微物理參數，此乃過往繞極衛星所無法提供的資料。隨後並透過被動式觀測的Aqua/MODIS、主動式觀測的CloudSat/CPR與CALIPSO/CALIOP交叉分析與驗證，評估參數的可靠性，期望未來能在一定可信度的情況下利用這些參數，探討雲的輻射效應收與氣候回饋過程。
由於南中國海是大尺度季風環流必經的水氣通道，常有旺盛對流的發展，且具備多重尺度天氣與氣候現象，而夏季季風肇始期間此區天氣系統轉換迅速，具有複雜結構之多樣雲種，因而選定此區域進行觀測與驗證，預期將得到更全面的研究成果。
經被動式觀測的分析及統計反演成果後，AHI與MODIS所分別反演的雲頂氣壓則具有一定程度的相似性，部分的差異與主動式觀測的交叉分析發現，確認此差異來自AHI較MODIS有更好的雲頂氣壓反演，進一步發現因AHI反演採用了CO2-slicing及較佳的大氣垂直熱力場，因此提升了對卷雲的反演。整體而言AHI雲頂氣壓、雲頂高度與雲光學厚度的反演皆有一定的水準，但雲滴有效半徑與MODIS有些許差距，尤其是高、薄之冰雲，因此期許未來有更進一步的資料協助確認其不確定性的範圍區間。

In October 2014, Japan launched Himawari-8 which is the most advanced geostationary orbit satellite in the world. Himawari-8/AHI provides high quality 16-channels reflectance/radiance data at every 10 minutes temporal resolution from 500 meter to 2 km spatial resolution. Because polar orbit satellite can’t provide the cloud microphysical parameters with high temporal and spatial resolution, this study develops the retrieval system that focuses on the Taiwan and its vicinity from the multichannel observation from geostationary orbit satellite.
In order to make sure the parameters quality from AHI retrieved, the research compare the retrieved cloud microphysical parameters with NASA EOS A-Train Aqua/MODIS, CloudSat/CPR and CALIPSO/CALIOP cloud products.
During the onset of Southeast Asia monsoon, the South China Sea (SCS) is the water vapor passage with large scale circulation, owning multiscale weather and climate phenomenon. It also contains rapid evolution for multiscale system, ranging from climate to weather. There are many kind of complex cloud system in summer monsoon onset, hence, the research region is chosen to conduct comprehensive comparison and verification study for retrieved cloud microphysical parameters among both passive and active seniors onboard polar orbiting satellites.
Initial validation of retrieved cloud microphysical properties indicates that there are good agreement between part of AHI and MODIS cloud-top pressure retrieval. From the cross analysis of active sensor observation, AHI has better CTP retrieval performance because it has better sensitivity in cirrus. Cloud-top pressure, cloud-top height and cloud optical thickness are all shown a reliable and good agreement between AHI and MODIS retrievals. There is discrepancy in cloud droplet effective radius between AHI and MODIS retrieval, in particular, when the cloud is optically thin and ice phase at high altitude.

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