IGSNRR OpenIR
A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO2 fluxes and 3-D atmospheric CO2 concentrations from observations
Tian, X.1,2; Xie, Z.3; Liu, Y.4; Cai, Z.4; Fu, Y.5; Zhang, H.6; Feng, L.7
2014
Source PublicationATMOSPHERIC CHEMISTRY AND PHYSICS
Volume14Issue:23Pages:13281-13293
AbstractWe have developed a novel framework ("TanTracker") for assimilating observations of atmospheric CO2 concentrations, based on the POD-based (proper orthogonal decomposition) ensemble four-dimensional variational data assimilation method (PODEn4DVar). The high flexibility and the high computational efficiency of the PODEn4DVar approach allow us to include both the atmospheric CO2 concentrations and the surface CO2 fluxes as part of the large state vector to be simultaneously estimated from assimilation of atmospheric CO2 observations. Compared to most modern top-down flux inversion approaches, where only surface fluxes are considered as control variables, one major advantage of our joint data assimilation system is that, in principle, no assumption on perfect transport models is needed. In addition, the possibility for Tan-Tracker to use a complete dynamic model to consistently describe the time evolution of CO2 surface fluxes (CFs) and the atmospheric CO2 concentrations represents a better use of observation information for recycling the analyses at each assimilation step in order to improve the forecasts for the following assimilations. An experimental Tan-Tracker system has been built based on a complete augmented dynamical model, where (1) the surface atmosphere CO2 exchanges are prescribed by using a persistent forecasting model for the scaling factors of the first-guess net CO2 surface fluxes and (2) the atmospheric CO2 transport is simulated by using the GEOS-Chem three-dimensional global chemistry transport model. Observing system simulation experiments (OSSEs) for assimilating synthetic in situ observations of surface CO2 concentrations are carefully designed to evaluate the effectiveness of the Tan-Tracker system. In particular, detailed comparisons are made with its simplified version (referred to as TT-S) with only CFs taken as the prognostic variables. It is found that our Tan-Tracker system is capable of outperforming TT-S with higher assimilation precision for both CO2 concentrations and CO2 fluxes, mainly due to the simultaneous estimation of CO2 concentrations and CFs in our Tan-Tracker data assimilation system. A experiment for assimilating the real dry-air column CO2 retrievals (XCO2) from the Japanese Greenhouse Gases Observation Satellite (GOSAT) further demonstrates its potential wide applications.
SubtypeArticle
WOS HeadingsScience & Technology ; Physical Sciences
WOS Subject ExtendedMeteorology & Atmospheric Sciences
WOS KeywordENSEMBLE KALMAN FILTER ; VARIATIONAL DATA ASSIMILATION ; PART 1 ; EMISSIONS ; MODEL ; VARIABILITY ; AIRCRAFT ; LAND
Indexed BySCI
Language英语
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000346140100040
PublisherCOPERNICUS GESELLSCHAFT MBH
Citation statistics
Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68438
Collection中国科学院地理科学与资源研究所
Corresponding AuthorTian, X.
Affiliation1.Chinese Acad Sci, Inst Atmospher Phys, ICCES, Beijing, Peoples R China
2.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China
3.Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Atmospher Phys, LAGEO, Beijing, Peoples R China
5.Chinese Acad Sci, CCRC, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
7.Univ Edinburgh, Sch GeoSci, Edinburgh EH9 3JN, Midlothian, Scotland
Recommended Citation
GB/T 7714
Tian, X.,Xie, Z.,Liu, Y.,et al. A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO2 fluxes and 3-D atmospheric CO2 concentrations from observations[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2014,14(23):13281-13293.
APA Tian, X..,Xie, Z..,Liu, Y..,Cai, Z..,Fu, Y..,...&Feng, L..(2014).A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO2 fluxes and 3-D atmospheric CO2 concentrations from observations.ATMOSPHERIC CHEMISTRY AND PHYSICS,14(23),13281-13293.
MLA Tian, X.,et al."A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO2 fluxes and 3-D atmospheric CO2 concentrations from observations".ATMOSPHERIC CHEMISTRY AND PHYSICS 14.23(2014):13281-13293.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Tian, X.]'s Articles
[Xie, Z.]'s Articles
[Liu, Y.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Tian, X.]'s Articles
[Xie, Z.]'s Articles
[Liu, Y.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tian, X.]'s Articles
[Xie, Z.]'s Articles
[Liu, Y.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.