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Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research
Kong, Yawen1,2; Chen, Baozhang1,2; Measho, Simon1,2
2019-07-01
Source PublicationATMOSPHERE
Volume10Issue:7Pages:23
Corresponding AuthorChen, Baozhang(baozhang.chen@igsnrr.ac.cn)
AbstractThe global carbon cycle research requires precise and sufficient observations of the column-averaged dry-air mole fraction of CO2 (XCO2) in addition to conventional surface mole fraction observations. In addition, assessing the consistency of multi-satellite data are crucial for joint utilization to better infer information about CO2 sources and sinks. In this work, we evaluate the consistency of long-term XCO2 retrievals from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon Observatory 2 (OCO-2) in comparison with Total Carbon Column Observing Network (TCCON) and the 3D model of CO2 mole fractions data from CarbonTracker 2017 (CT2017). We create a consistent joint dataset and compare it with the long-term model data to assess their abilities to characterize the carbon cycle climate. The results show that, although slight increasing differences are found between the GOSAT and TCCON XCO2 in the northern temperate latitudes, the GOSAT and OCO-2 XCO2 retrievals agree well in general, with a mean bias +/- standard deviation of differences of 0.21 +/- 1.3 ppm. The differences are almost within +/- 2 ppm and are independent of time, indicating that they are well calibrated. The differences between OCO-2 and CT2017 XCO2 are much larger than those between GOSAT and CT XCO2, which can be attributed to the significantly different spatial representatives of OCO-2 and the CT-transport model 5 (TM5). The time series of the combined OCO-2/GOSAT dataset and the modeled XCO2 agree well, and both can characterize significantly increasing atmospheric CO2 under the impact of a large El Nino during 2015 and 2016. The trend calculated from the dataset using the seasonal Kendall (S-K) method indicates that atmospheric CO2 is increasing by 2-2.6 ppm per year.
KeywordOCO-2 GOSAT TCCON carbon dioxide CarbonTracker joint dataset
DOI10.3390/atmos10070354
WOS KeywordREGIONAL CO2 ; ATMOSPHERIC CO2 ; CLIMATE-CHANGE ; SATELLITE ; VALIDATION ; ALGORITHM ; SYSTEM ; FLUXES ; PRODUCTS ; REVIEWS
Indexed BySCI
Language英语
Funding ProjectChinese Academy of Sciences[131A11KYSB20170025] ; State Key Laboratory of Resources and Environment Information System[O88RA901YA] ; National Natural Science Foundation of China[41771114]
Funding OrganizationChinese Academy of Sciences ; State Key Laboratory of Resources and Environment Information System ; National Natural Science Foundation of China
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000480628300006
PublisherMDPI
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68768
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Baozhang
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Kong, Yawen,Chen, Baozhang,Measho, Simon. Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research[J]. ATMOSPHERE,2019,10(7):23.
APA Kong, Yawen,Chen, Baozhang,&Measho, Simon.(2019).Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research.ATMOSPHERE,10(7),23.
MLA Kong, Yawen,et al."Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research".ATMOSPHERE 10.7(2019):23.
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