強化福衛三號和七號觀測資料於臺灣與歐洲天氣監測的應用;Strengthening Environmental Monitoring System with Microwave Satellite Signals: Promotion of Integrated Radio Occulted (Data Application of Ro Mission Formosat-3 and Formosat-7) and Ground-Based Approach

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/78232

Title:	強化福衛三號和七號觀測資料於臺灣與歐洲天氣監測的應用;Strengthening Environmental Monitoring System with Microwave Satellite Signals: Promotion of Integrated Radio Occulted (Data Application of Ro Mission Formosat-3 and Formosat-7) and Ground-Based Approach
Authors:	劉千義;葉文豪;楊智傑;黃成勇;曾子榜
Contributors:	國立中央大學太空及遙測研究中心
Keywords:	福衛三號;福衛七號;掩星資料;高災害天氣;衛星資料同化;FORMOSAT-3;FORMOSAT-7;radio occultation;high-impact weather;meteorological satellite data assimilation
Date:	2018-12-19
Issue Date:	2018-12-20 11:16:55 (UTC+8)
Publisher:	科技部
Abstract:	福衛三號（FORMOSAT-3)衛星自2006年發射後，在五年任務期間每天約可觀測到2000個以上的大氣和電離層參數剖面，迄今每天也仍可觀測超過1000點以上的剖面。國際上已有相當多的研究論文發表，明確證實福衛三號衛星對改進高災害天氣（如：颱風路徑）預報、太空天氣監測等，均有正面貢獻。目前臺灣也規劃了福衛七號（FORMOSAT-7)於2018年及其後，會再發射6顆低軌道掩星觀測衛星。隨著掩星天線的改進，以及GLONASS衛星星系的加入，福衛七號將可提供更可靠且4 倍以上的觀測剖面，對劇烈天氣監測提供於時間及空間解析度上，更密集的觀測。本臺灣與波蘭的雙邊合作計晝（臺波國合計晝），規劃推動現階段福衛三號及未來福衛七號的資料驗證、資料應用、開發自主化軟體等，結合地基GNSS之反演資料，應用於臺灣及歐洲之高災害天氣監測及預報。網羅國内現有研究人員，並結合國立中央大學太空及遙測研究中心（CSRSR )、GPSARC 之研發能量，使用Ray-Tracing技術，分析低層大氣於劇烈天氣下之觀測資料，並偕同波蘭團隊將 Ray-Tracing整合至資料同化模式中。於此同時，也會將國内團隊及波蘭團隊所使用的掩星觀測資料和地面GNSS觀測資料，同化至氣象模式並評估其影響、分析GNSS訊號於天氣預測和劇烈天氣中之衝擊、進行相關掩星產品驗證。相關成果分析將分別回饋臺灣及波蘭雙邊團隊，以利未來相關掩星產品之改進。 ;The atmosphere is a complex environment; highly variable, transformed by human activity, indispensable, a key research subject and everyday life interest, observed with ground- and space-based sensors both in-situ and remotely. Reliable monitoring and predicting of this highly challenging environment needs accurate and frequent observations of the most important (at least for severe weather, precipitation and cloudiness) troposphere constituent - a water vapour. Therefore meteorological community started to investigate other, not primarily weather related observations such as GNSS signals. The GNSS signal is within the spectral band of microwave radiation and as such is sensitive to the conditions of troposphere in a function of temperature, pressure and water vapour. The signal emitted from the space-borne platforms and received on the low earth orbiting satellites or on the ground is bended and delayed by atmosphere induced effects. In standard positioning applications these parameters are estimated and removed as a noise. However, for forecasters and weather modellers this is an invaluable data source of conditions and dynamics of troposphere. As the number of GNSS satellites is growing, amount and strength of the transmitting frequencies is increasing, size of a ground-based GNSS receivers networks is extending and polar orbiting satellites with GNSS receivers on board are more frequently launched; the time resolution, spatial resolution, sensitivity of GNSS based remote sensing is greatly improving. This project aims to harness this global trend to extend the use of GNSS observations in environmental monitoring to improve modelling of severe weather phenomena in different climatic zones using expertise of both Partners. In this project we will: 1) Apply effective ray-tracing technique (for both ground- and space- based platforms), supporting precise estimation of troposphere impact on GNSS signal; 2) Improve numerical weather prediction models assimilation systems to include GNSS derived information; 3) Use ground-based (GNSS), space-based (RO) observations for monitoring and forecasting severe weather; 4) Establish joint ground-based and space-based GNSS data processing center for troposphere monitoring. The integrated space-based and ground-based observing system provides optimal combination of time resolution, spatial resolution and accuracy of troposphere conditions. The CSRSR and GPSARC, both are located in the Taiwan’s National Central University (NCU), expertise in RO and numerical weather prediction and GNSS&Meteo long-standing experience with ground-based observations and troposphere modelling provides synergistic benefits.
Relation:	財團法人國家實驗研究院科技政策研究與資訊中心
Appears in Collections:	[Center for Space and Remote Sensing Research ] Research Project

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