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Variation patterns and driving factors of regional atmospheric CO2 anomalies in China

  • Published:2021-10-30 Issue: Volume: Page:
  • ISSN:0944-1344
  • Container-title:Environmental Science and Pollution Research
  • language:en
  • Short-container-title:Environ Sci Pollut Res

Author:

Fu Ying,Sun Wenbin,Luo Fuli,Zhang Yuan,Zhang Xinru

Funder

national key research and development program of china

national natural science foundation of china

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Reference56 articles.

1. Bie N, Lei L, He Z, Zeng Z, Liu L, Zhang B, Cai B (2020) Specific patterns of XCO2 observed by GOSAT during 2009–2016 and assessed with model simulations over China. Sci China Earth Sci 63:384–394. https://doi.org/10.1007/s11430-018-9377-7

2. Bovensmann H, Burrows JP, Buchwitz M, Frerick J, Noël S, Rozanov VV, Chance KV, Goede APH (1999) SCIAMACHY: mission objectives and measurement modes. J Atmos Sci 56:127–150. https://doi.org/10.1175/1520-0469(1999)056<0127:SMOAMM>2.0.CO;2

3. Cao L, Chen X, Zhang C, Kurban A, Qian J, Pan T, Yin Z, Qin X, Ochege FU, Maeyer PD (2019) The global spatiotemporal distribution of the mid-tropospheric CO2 concentration and analysis of the controlling factors. Remote Sens-Basel 11:94. https://doi.org/10.3390/rs11010094

4. Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda MA, Balsamo G, Bauer P, Bechtold P, Beljaars ACM, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer AJ, Haimberger L, Healy SB, Hersbach H, Hólm EV, Isaksen L, Kållberg P, Köhler M, Matricardi M, Mcnally AP, Monge Sanz BM, Morcrette JJ, Park BK, Peubey C, de Rosnay P, Tavolato C, Thépaut JN, Vitart F (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J Roy Meteor Soc 137:553–597. https://doi.org/10.1002/qj.828

5. Dietrich F, Chen J, Voggenreiter B, Aigner P, Nachtigall N, Reger B (2021) MUCCnet: Munich Urban Carbon Column network. Atmos Meas Tech 14:1111–1126. https://doi.org/10.5194/amt-14-1111-2021.10.5194/amt-14-1111-2021

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