Ms. Hangyu Lu Profile

Hangyu Lu

at Second Institute of Oceanography SOA

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Publications (1)

Proceedings Article | 13 October 2017 Paper

Satellite remote sensing of the aquatic pCO2 in the basin of the South China Sea

Hangyu Lu, Yan Bai, Xiaoyan Chen, Fang Gong, Qiankun Zhu, Difeng Wang

Proceedings Volume 10422, 1042218 (2017) https://doi.org/10.1117/12.2278057

KEYWORDS: Carbon dioxide, Satellites, Thermodynamics, Remote sensing, Algorithm development, Temperature metrology, Data modeling, In situ metrology, MODIS, Analytical research

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The South China Sea (SCS) is one of the largest marginal seas in the world, and the air-sea CO₂ flux in the SCS may contribute significantly to the global air-sea CO₂ flux. In the past decade, many researches on the aquatic pCO₂ and air-sea CO₂ flux mainly in the north SCS were carried out based on the underway measurement of the pCO₂, and the results revealed that the SCS is a source of the CO₂ as a whole in the annual scale. However, the air-sea CO₂ flux is high spatial variability in the SCS, for example, the north shelf of the SCS is a CO₂ sink while the basin is a source. To monitor the spatial and temporal variations of the air-sea CO₂ flux in the SCS, few satellite remote sensing algorithms have been developed to estimate the aquatic pCO₂ in the north SCS. However, these algorithms are all the empirical models which depend on the training dataset from the in situ measurement. In this study, we apply the semi-analytical algorithm MeSAA to retrieve the aquatic pCO₂ in the SCS basin. The MeSAA algorithm was proposed by the Bai et al. (2016) and was evidenced to be widely applicable to the different marginal seas including the East China Sea and Bering Sea. Based on the underway measured aquatic pCO₂ and water temperature, we found that the variation of the pCO₂ in the SCS basin is mainly controlled by the temperature. In addition, the increase of the atmosphere pCO₂ can also contribute the systematical increase of the aquatic pCO₂. Therefore, we established a semi-analytical algorithm for the aquatic pCO₂ retrieval in the SCS basin, which considers the thermodynamic effect and air-sea CO₂ fluxes. The results showed that the thermodynamic effect in the SCS basin was consistent with the theoretical result with the aquatic pCO₂ increasing 4.23% for the 1°C rising of the water temperature. Moreover, the satellite-retrieved aquatic pCO₂ match well with the in situ pCO₂. Based on the established algorithm, the monthly time-series of the aquatic pCO₂ in the SCS basins from 2003 to 2016 were generated from the MODIS datasets from both the Aqua and Terra satellite, and the long-term trends of the aquatic pCO₂ in the different parts of the SCS basin were analyzed.

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