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Neutral Tropical African CO<sub>2</sub> Exchange Estimated From Aircraft and Satellite Observationsстатья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Gaubert Benjamin, Stephens Britton B., Baker David F., Basu Sourish, Bertolacci Michael, Bowman Kevin W., Buchholz Rebecca, Chatterjee Abhishek, Chevallier Frédéric, Commane Róisín, Cressie Noel, Deng Feng, Jacobs Nicole, Johnson Matthew S., Maksyutov Shamil S., McKain Kathryn, Liu Junjie, Liu Zhiqiang, Morgan Eric, O’Dell Chris, Philip Sajeev, Ray Eric, Schimel David, Schuh Andrew, Taylor Thomas E., Weir Brad, van Wees Dave, Wofsy Steven C., Zammit‐Mangion Andrew, Zeng Ning
- Журнал: Global Biogeochemical Cycles
- Том: 37
- Номер: 12
- Год издания: 2023
- Издательство: American Geophysical Union
- Местоположение издательства: United States
- Номер статьи: e2023GB007804
- DOI: 10.1029/2023gb007804
- Аннотация: Tropical lands play an important role in the global carbon cycle yet their contribution remains uncertain owing to sparse observations. Satellite observations of atmospheric carbon dioxide (CO2) have greatly increased spatial coverage over tropical regions, providing the potential for improved estimates of terrestrial fluxes. Despite this advancement, the spread among satellite-based and in-situ atmospheric CO2 flux inversions over northern tropical Africa (NTA), spanning 0–24°N, remains large. Satellite-based estimates of an annualsource of 0.8–1.45 PgC yr−1 challenge our understanding of tropical and global carbon cycling. Here, we compare posterior mole fractions from the suite of inversions articipating in the Orbiting Carbon Observatory 2 (OCO-2) Version 10 Model Intercomparison Project (v10 MIP) with independent in-situ airborne observations made over the tropical Atlantic Ocean by the National Aeronautics and Space Administration (NASA) Atmospheric Tomography (ATom) mission during four seasons. We develop emergent constraints on tropical African CO2 fluxes using flux-concentration relationships defined by the model suite. We find an annual flux of 0.14 ± 0.39 PgC yr−1 (mean and standard deviation) for NTA, 2016–2018. The satellite-based flux bias suggests a potential positive concentration bias in OCO-2 B10 and earlier version retrievals over land in NTA during the dry season. Nevertheless, the OCO-2 observations provide improved flux estimates relative to the in situ observing network at other times of year, indicating stronger uptake in NTA during the wet season than the in-situ inversion estimates.
- Добавил в систему: Mаксютов Шамиль Шавратович