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Developing the Science Product Algorithm Testbed for Chinese Next-Generation Geostationary Meteorological Satellites:Fengyun-4 Series 被引量:50
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作者 Min MIN Chunqiang WU +12 位作者 Chuan LI Hui LIU Na XU Xiao WU Lin CHEN Fu WANG Fenglin SUN Danyu QIN Xi WANG Bo LI Zhaojun ZHENG Guangzhen CAO Lixin DONG 《Journal of Meteorological Research》 SCIE CSCD 2017年第4期708-719,共12页
Fengyun-4A(FY-4A), the first of the Chinese next-generation geostationary meteorological satellites, launched in2016, offers several advances over the FY-2: more spectral bands, faster imaging, and infrared hypersp... Fengyun-4A(FY-4A), the first of the Chinese next-generation geostationary meteorological satellites, launched in2016, offers several advances over the FY-2: more spectral bands, faster imaging, and infrared hyperspectral measurements. To support the major objective of developing the prototypes of FY-4 science algorithms, two science product algorithm testbeds for imagers and sounders have been developed by the scientists in the FY-4 Algorithm Working Group(AWG). Both testbeds, written in FORTRAN and C programming languages for Linux or UNIX systems, have been tested successfully by using Intel/g compilers. Some important FY-4 science products, including cloud mask, cloud properties, and temperature profiles, have been retrieved successfully through using a proxy imager, Himawari-8/Advanced Himawari Imager(AHI), and sounder data, obtained from the Atmospheric Infra Red Sounder, thus demonstrating their robustness. In addition, in early 2016, the FY-4 AWG was developed based on the imager testbed—a near real-time processing system for Himawari-8/AHI data for use by Chinese weather forecasters.Consequently, robust and flexible science product algorithm testbeds have provided essential and productive tools for popularizing FY-4 data and developing substantial improvements in FY-4 products. 展开更多
关键词 geostationary meteorological satellite FY-4 algorithm testbed cloud properties
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A MODEL FOR QUANTITATIVELY ESTIMATING SHORTRANGE PRECIPITATION BASED ON GMS DIGITALIZED CLOUD MAPS-PART Ⅰ:ANALYSIS OF QUANTITATIVE CLOUD-PRECIPITATION RELATIONS AND MODEL DESIGN 被引量:2
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作者 张明席 罗昌荣 +1 位作者 邹燕 黄永玉 《Acta meteorologica Sinica》 SCIE 2003年第2期230-244,共15页
Some typical samples are used to explore the quantitative correlation with their features between a convective cloud and its rainfall field,with which to develop two morphological functions for the correlation and by ... Some typical samples are used to explore the quantitative correlation with their features between a convective cloud and its rainfall field,with which to develop two morphological functions for the correlation and by singling out their most suitable groups of parameters we propose a model for quantitatively estimating precipitation in the context o{ the in-advance recognition of meso-α convective system properties and its precipitating center.From the model fitting precision and forecasting accuracy we find that it is feasible to utilize geostationary meteorological satellite (GMS) digitalized imagery for estimating short-term rainfall in a quantitative manner.Also,evidence suggests that the model is supposed to be restricted in its applicability due to the fact that the employed samples are from rather typical rainfall events that are large-scale,slow-moving and have well-defined genesis and dissipative stages. 展开更多
关键词 geostationary meteorological satellite (GMS) digitalized cloud map quantitative estimation of precipitation optimal combination of parameters
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STUDY ON SEA ICE WITH GMS REAL-TIME DATA
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作者 李万彪 朱元竞 +1 位作者 陈俊晔 赵柏林 《Acta meteorologica Sinica》 SCIE 1999年第3期360-366,共7页
By use of GMS-4 infrared brightness temperature and visible albedo data from January to February in 1995,the method for extracting of sea ice parameters is developed.The digital remote sensing picture is obtained on L... By use of GMS-4 infrared brightness temperature and visible albedo data from January to February in 1995,the method for extracting of sea ice parameters is developed.The digital remote sensing picture is obtained on Liaodong Bay.Based on the difference in physical properties between ice and water,a criterion distinguishing ice from water is set up.Ice thickness has been calculated according to the relationship between ice thickness and brightness as well as albedo.Ice concentration is retrieved due to the difference on albedo between ice and water.The results indicate that the accuracy of ice-water distinguishing is 84.8%,the errors of ice thickness and ice concentration are 3.8 cm and 22%,respectively. 展开更多
关键词 geostationary meteorological satellite(GMS) sea ice ice-water distinguishing ice thickness ice concentration
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A STUDY ON THE RELATIONSHIP BETWEEN GMS-5 INFRARED DATA AND PRECIPITATION SOUNDED BY TRMM/PR
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作者 李正龙 金鑫 +1 位作者 李万彪 朱元竞 《Acta meteorologica Sinica》 SCIE 2002年第3期317-326,401,共11页
To study the possibility of improving the precision of retrieving precipitation through GMS-5 infrared data,the relationship between the data of GMS-5 infrared channel 1(IR1)and precipitation sounded by TRMM/PR was ca... To study the possibility of improving the precision of retrieving precipitation through GMS-5 infrared data,the relationship between the data of GMS-5 infrared channel 1(IR1)and precipitation sounded by TRMM/PR was carefully studied through some cases gathered during the HUBEX 1998.First of all,the relationship between the brightness temperature(Tb)and PR- sounded near-surface rainfall rate(NSRR)was studied.Then,as PR can sound the inner structure of rainfall area.a unique advantage of this new instrument,the relationship between Tb and PR-sounded rainfall rate in each layer was also studied.Still,as PR can tell the rain type, those relationships were studied again according to the different types of precipitation(i.e. convective and stratiform).After comparing these outcomes with those from other references,it can be concluded that the relationship between Tb and PR-sounded rainfall rate is acceptable and it is possible to calibrate precipitation retrieved through Tb by PR data. 展开更多
关键词 GMS(geostationary meteorological Satellite) PR(Precipitation Radar) PRECIPITATION
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