中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Quantitative analysis of spatiotemporal coverage and uncertainty decomposition in OCO-2/3 XCO2 across China

文献类型:期刊论文

作者Zhang, Lili1; Cheng, Tianhai1; Yue, Tianxiang2; Li, Shenshen1; Wilson, John Peter3
刊名ATMOSPHERIC ENVIRONMENT
出版日期2024-09-15
卷号333页码:21
关键词OCO-2/3 Quantitative assessment Spatiotemporal coverage XCO2 uncertainty decomposition Regional scale
ISSN号1352-2310
DOI10.1016/j.atmosenv.2024.120636
英文摘要The Orbiting Carbon Observatory 2/3 (OCO-2/3) employs a full-physics inversion algorithm and estimates the column-averaged dry air mole fraction of carbon dioxide (XCO2). This research focuses on the spatiotemporal coverage and associated uncertainties of OCO-2/3's XCO2 measurements within the Chinese region. We undertook an extensive statistical examination of the daily, weekly, 16-day, and monthly spatiotemporal coverage of XCO2 across China, employing data from both OCO-2 and OCO-3 and their amalgamated datasets. Additionally, we used a posterior error analysis method to rigorously evaluate the uncertainties induced by various input parameters in the XCO2 inversion model across different regions in China. Our findings reveal that OCO-2's spatial coverage spans 2.3-53.8% in China at a spatial resolution of 1 degrees x 1 degrees, and OCO-3's spatial coverage spans 3.3 and 47.4% across these time scales in China. Notably, the combined coverage rates of both satellites are significantly higher, ranging from 5.4 to 72.6%. Our analysis also reveals a gradual decrease in XCO2 coverage and inversion rates from north to south and west to east across China. A significant portion of the uncertainties in OCO-2/3 XCO2 measurements, over 90%, were attributed to primary error sources such as instrument, aerosol, and CO2 prior profile. Aerosol-induced errors show regional variations, with higher levels observed in Southeast China. Compared to TCCON data, the accuracy of XCO2 measurements in the two Chinese sites was lower than the global average. Our research identifies the spatiotemporal distribution and uncertainty decomposition of carbon satellites at a regional scale in China, providing an essential reference for future research.
WOS关键词NEAR-INFRARED SENSOR ; RETRIEVAL ALGORITHM ; CO2 ; VALIDATION ; SPECTROMETER ; PERFORMANCE ; OBJECTIVES ; SCIAMACHY
资助项目National Key Research and Development Program of China[2023YFB3907701]
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:001257058300001
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构National Key Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/206308]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Zhang, Lili
作者单位1.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Univ Southern Calif, Spatial Sci Inst, Los Angeles, CA 90089 USA
推荐引用方式
GB/T 7714
Zhang, Lili,Cheng, Tianhai,Yue, Tianxiang,et al. Quantitative analysis of spatiotemporal coverage and uncertainty decomposition in OCO-2/3 XCO2 across China[J]. ATMOSPHERIC ENVIRONMENT,2024,333:21.
APA Zhang, Lili,Cheng, Tianhai,Yue, Tianxiang,Li, Shenshen,&Wilson, John Peter.(2024).Quantitative analysis of spatiotemporal coverage and uncertainty decomposition in OCO-2/3 XCO2 across China.ATMOSPHERIC ENVIRONMENT,333,21.
MLA Zhang, Lili,et al."Quantitative analysis of spatiotemporal coverage and uncertainty decomposition in OCO-2/3 XCO2 across China".ATMOSPHERIC ENVIRONMENT 333(2024):21.

入库方式: OAI收割

来源:地理科学与资源研究所

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