Advanced Radiative Transfer Modeling System (ARMS): A New-Generation Satellite Observation Operator

• 作 者: Fuzhong WENG Xinwen YU Yihong DUAN Jun YANG Jianjie WANG
• 机 构: Chinese Academy of Meteorological Sciences, Beijing 100081, China“,”Chinese Meteorological Administr
• 出 处: 大气科学进展（英文版）
• 发表日期: 2020年2期

1.Urgent requirements for developing FengYun satellite observation operators rnIn the past two decades,satellite measurements have been widely utilized for understanding and predicting weather and climate,and are now an essential component in global observing systems.Atmospheric and surface data observed from satellite,in-situ,and ground-based instruments are assimilated to produce a best representation of the atmospheric state on model grids.The gridded analysis data are derived from the scattered observations and a priori knowledge from the model forecasts.Through the assimilation of satellite data,the global medium-range (7-10 days) forecast score has been significantly improved,especially for the data-void South Hemisphere (Le Marshall et al.,2007).Also,the assimilation of satellite data in the Hurricane Weather and Forecast Model improves the prediction of hurricane tracks and intensity,as well as coastal precipitation (Zou et al.,2013).