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Article

Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020

1
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), No. 1119, Haibin Rd., Nansha District, Guangzhou 511458, China
2
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
3
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(24), 6196; https://doi.org/10.3390/rs14246196
Submission received: 27 October 2022 / Revised: 2 December 2022 / Accepted: 4 December 2022 / Published: 7 December 2022
(This article belongs to the Special Issue Oceanographic Lidar in the Study of Marine Systems)

Abstract

Quantified research on the Arctic Ocean carbon system is poorly understood, limited by the scarce available data. Measuring the associated phytoplankton responses to air–sea CO2 fluxes is challenging using traditional satellite passive ocean color measurements due to low solar elevation angles. We constructed a feedforward neural network light detection and ranging (LiDAR; FNN-LID) method to assess the Arctic diurnal partial pressure of carbon dioxide (pCO2) and formed a dataset of long-time-series variations in diurnal air–sea CO2 fluxes from 2001 to 2020; this study represents the first time spaceborne LiDAR data were employed in research on the Arctic air–sea carbon cycle, thus providing enlarged data coverage and diurnal pCO2 variations. Although some models replace Arctic winter Chl-a with the climatological average or interpolated Chl-a values, applying these statistical Chl-a values results in potential errors in the gap-filled wintertime pCO2 maps. The CALIPSO measurements obtained through active LiDAR sensing are not limited by solar radiation and can thus provide ‘fill-in’ data in the late autumn to early spring seasons, when ocean color sensors cannot record data; thus, we constructed the first complete record of polar pCO2. We obtained Arctic FFN-LID-fitted in situ measurements with an overall mean R2 of 0.75 and an average RMSE of 24.59 µatm and filled the wintertime observational gaps, thereby indicating that surface water pCO2 is higher in winter than in summer. The Arctic Ocean net CO2 sink has seasonal sources from some continental shelves. The growth rate of Arctic seawater pCO2 is becoming larger and more remarkable in sectors with significant sea ice retreat. The combination of sea surface partial pressure and wind speed impacts the diurnal carbon air–sea flux variability, which results in important differences between the Pacific and Atlantic Arctic Ocean. Our results show that the diurnal carbon sink is larger than the nocturnal carbon sink in the Atlantic Arctic Ocean, while the diurnal carbon sink is smaller than the nocturnal carbon sink in the Pacific Arctic Ocean.
Keywords: diurnal variation; air–sea carbon flux; CALIPSO; LiDAR; remote sensing diurnal variation; air–sea carbon flux; CALIPSO; LiDAR; remote sensing
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MDPI and ACS Style

Zhang, S.; Chen, P.; Zhang, Z.; Pan, D. Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020. Remote Sens. 2022, 14, 6196. https://doi.org/10.3390/rs14246196

AMA Style

Zhang S, Chen P, Zhang Z, Pan D. Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020. Remote Sensing. 2022; 14(24):6196. https://doi.org/10.3390/rs14246196

Chicago/Turabian Style

Zhang, Siqi, Peng Chen, Zhenhua Zhang, and Delu Pan. 2022. "Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020" Remote Sensing 14, no. 24: 6196. https://doi.org/10.3390/rs14246196

APA Style

Zhang, S., Chen, P., Zhang, Z., & Pan, D. (2022). Carbon Air–Sea Flux in the Arctic Ocean from CALIPSO from 2007 to 2020. Remote Sensing, 14(24), 6196. https://doi.org/10.3390/rs14246196

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