首页 | 本学科首页   官方微博 | 高级检索  
     


Developing the science product algorithm testbed for Chinese next-generation geostationary meteorological satellites: Fengyun-4 series
Authors:Min Min  Chunqiang Wu  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
Affiliation:1.Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center,China Meteorological Administration,Beijing,China
Abstract:Fengyun-4A (FY-4A), the first of the Chinese next-generation geostationary meteorological satellites, launched in 2016, 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 InfraRed 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.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号