Real-data assimilation experiment with a joint data assimilation system: assimilating carbon dioxide mole fraction measurements from the Greenhouse gases Observing Satellite

作     者：HAN Rui TIAN Xiang-Jun FU Yu CAI Zhao-Nan HAN Rui;TIAN Xiang-Jun;FU Yu;CAI Zhao-Nan

作者机构：Institute of Atmospheric SciencesChengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province International Center for Climate and Environment SciencesChinese Academy of Sciences Climate Change Research CenterChinese Academy of Sciences Key Laboratory of Middle Atmosphere and Global Environment ObservationChinese Academy of Sciences 

基　　金：partially supported by the National High Technology Research and Development Program of China[grant number 2013AA122002] the National Natural Science Foundation of China[grant numbers 41575100 and 91437220] the Knowledge Innovation Program of the Chinese Academy of Sciences[grant number KZCX2-EW-QN207] the Special Fund for Meteorological Scientific Research in Public Interest[grant number GYHY201506002] 

出 版 物：《Atmospheric and Oceanic Science Letters》 (大气和海洋科学快报（英文版）)

年 卷 期：2016年第9卷第2期

页      码：107-113页

摘      要：The performance of a joint data assimilation system（Tan-Tracker）,which is based on the PODEn4 Dvar assimilation method,in assimilating Greenhouse gases Observing SATellite（GOSAT） carbon dioxide（CO2） data,was *** 3D CO2 concentrations and CO2 surface fluxes（CFs） from2010 were simulated using a global chemistry transport model（GEOS-Chem）.TheTan-Tracker system used the simulated CO2 concentrations and fluxes as a background field and assimilated the GOSAT column average dry-air mole fraction of CO2（X（CO2）） data to optimize CO2 concentrations and CFs in the same assimilation *** simulated X（CO2）（X（CO2）Sim）） and assimilated X（CO2）（X（CO2）,TT） data retrieved at different satellite scan positions were compared with GOSAT-observed X（CO2）（X（CO2）,obs）*** average RMSE between the monthly X（CO2）,TT and X（CO2）,Obs data was significantly（30%） lower than the average RMSE between X（CO2）,Sim and X（CO2）,Obs）.Specifically,reductions in error were found for the positions of northern Africa（the Sahara）,the Indian peninsula,southern Africa,southern North America,and western *** difference between the correlation coefficients of the X（CO2）,Sim）and X（CO2）,Obs and those of the X（CO2）Π）,TT and X（CO2）,Obs was only *** general,the Tan-Tracker system performed very well after assimilating the GOSAT data.

主 题 词：Tan-Tracker GEOS-Chem GOSAT PODEn4DVar atmospheric CO2 concentration 

学科分类：083002[083002] 0830[工学-生物工程类] 07[理学] 08[工学] 070602[070602] 0706[理学-大气科学类] 0713[0713] 

核心收录：

D　O　I：10.1080/16742834.2016.1133070

馆 藏 号：203813150...