同化极轨卫星陆地产品对改善陆面模式模拟能力研究进展  

Review on Improving Land Surface Model Simulations by Assimilating Polar-Orbiting Satellite Observations

作　　者：尹继福[1,2,3] 郑有飞[4] 詹习武 吴荣军[4] 刘吉成 方莉 关福来 姚树然 

机构地区：[1]南京信息工程大学/中国气象局气溶胶与云降水重点开放实验室,南京210044 [2]NOAA NESDIS Center for Satellite Applications and Research,College Park 20740,USA [3]Department of Geography and Geoinformation Science,George Mason University,Fairfax 22030,USA [4]南京信息工程大学/江苏省大气环境监测与污染控制高技术研究重点实验室,南京210044 [5]ESSIC/CICS,University of Maryland College Park,College Park 20740,MD,USA [6]河北省气象科学研究所,石家庄050022

出　　处：《高原气象》2016年第1期260-276,共17页Plateau Meteorology

基　　金：中国气象局/河南省农业气象保障与应用技术重点开放实验室开放基金(AMF201305);淮河流域气象开放研究基金(HRM201201);中国气象局高原气象开放实验室基金(LPM201302);江苏省普通高等学校研究生科研创新计划项目(CXZZ12-0499);国家科技支撑计划项目(2011BAD32B04-03)

摘　　要：利用同化极轨卫星陆地产品改善陆面模式的模拟能力,是目前提升干旱监测水平研究的一个热点,也是一个难点问题。通过介绍现阶段几种典型陆面模式和同化方法,回顾了地表类型、地表反照率、植被覆盖度、地表温度、土壤湿度和降水量等主要极轨卫星陆地产品发展现状,并指出同化极轨卫星陆地产品对陆面模式模拟能力的改善作用主要受陆面模式、同化方法和卫星产品质量三方面限制。而基于较新的地表类型、(准)实时植被覆盖度和地表反照率产品及高质量的土壤湿度、地表温度和降水数据,通过优化同化方法和系统地发展陆面模式,有望进一步改善同化效果。It is a key issue in drought monitoring to improve Land Surface Model（LSM） simulations by assimilating polar-orbiting satellite observations.By introducing the comprehensive Land surface Models and assimilation methods,this paper reviews the recent progresses of researches on assimilation of polar-orbiting satellite observations of surface type,albedo,green vegetation fraction（GVF）,land surface temperature（LST）,soil moisture（SM） and precipitation.Major scientific issues,including the structure of land surface model,assimilating method and satellite retrievals,to be addressed in near future research activities in the land data assimilation area are discussed.In particular,newer version land cover and real time green vegetation fraction and albedo products,which have great capabilities to describe land surface conditions,are suggested for land surface model（LSM） simulations.In addition,the land surface temperature data that are more accuracy and have higher temporal-spatial resolution should be used to improve LSM simulations.Estimations on the merits of assimilating ensemble soil moisture product and how to control the satellite data quality in a data assimilation system are also interesting topics.Based on the newer land cover,（near） real time GVF and albedo,the qualified LST,SM and precipitation data and the LSMs development will be helpful to further improve the assimilating effect.

关 键 词：数据同化 极轨卫星产品 陆面模式 

分 类 号：P49[天文地球—大气科学及气象学]