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
文献类型：期刊论文
| 作者 | Kong, Yawen1,2; Chen, Baozhang1,2 ; Measho, Simon1,2
|
| 刊名 | ATMOSPHERE
 |
| 出版日期 | 2019-07-01 |
| 卷号 | 10期号:7页码:23 |
| 关键词 | OCO-2 GOSAT TCCON carbon dioxide CarbonTracker joint dataset |
| DOI | 10.3390/atmos10070354 |
| 通讯作者 | Chen, Baozhang(baozhang.chen@igsnrr.ac.cn) |
| 英文摘要 | The 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. |
| WOS关键词 | REGIONAL CO2 ; ATMOSPHERIC CO2 ; CLIMATE-CHANGE ; SATELLITE ; VALIDATION ; ALGORITHM ; SYSTEM ; FLUXES ; PRODUCTS ; REVIEWS |
| 资助项目 | Chinese Academy of Sciences[131A11KYSB20170025] ; State Key Laboratory of Resources and Environment Information System[O88RA901YA] ; National Natural Science Foundation of China[41771114] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000480628300006 |
| 出版者 | MDPI |
| 资助机构 | Chinese Academy of Sciences ; State Key Laboratory of Resources and Environment Information System ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/68767]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Baozhang |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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