Construction of a High Spatiotemporal Resolution Dataset of Satellite-Derived pCO2 and Air–Sea CO2 Flux in the South China Sea (2003–2019)

Song, Zigeng; Yu, Shujie; Bai, Yan; Guo, Xianghui; He, Xianqiang; Zhai, Weidong; Dai, Minhan

doi:10.1109/tgrs.2023.3306389

Cited by 2 publications

(2 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Track data for these typhoons were obtained from the Central Meteorological Observatory Typhoon Network (http://Typhoon.nmc.cn/web.html). To verify the model results and assess its ability to capture pCO 2sea characteristics, monthly average pCO 2sea retrieval data from 2003 to 2019 with a spatial resolution of 1 km (https://zenodo.org/records/7743187), provided by Song et al (2023), were used.…”

Section: Datamentioning

confidence: 99%

“…Figure 1 indicates that in the northern coastal area of the South China Sea, the pCO 2sea in nearshore waters is lower than that in the inner estuary and offshore waters. This difference may be attributed to the intricate biological processes in this area (Song et al 2023). Therefore, we selected the coastal waters of the Pearl River Estuary as our research region.…”

Section: Model Settingsmentioning

confidence: 99%

See 1 more Smart Citation

Simulating the impact of typhoons on air‐sea CO₂ fluxes on the northern coastal area of the South China Sea

Meng,

Guan,

Feng

2024

Environ. Res. Lett.

View full text Add to dashboard Cite

The South China Sea is a typhoon-prone region, and previous studies have shown that typhoons have significant impacts on air-sea CO2 fluxes. However, the effect of typhoons on the northern coastal area of the South China Sea is not well understood owing to limited observational data. In this study, we used a coupled model to simulate the impact of four typhoons (Hato, Mangkhut, Nida, and Merbok) on the partial pressure of CO2 in seawater (pCO2sea) and the CO2 fluxes in this area. Our results show that the coupled model effectively reproduces the spatial pattern of pCO2sea in this region. The response of pCO2sea to typhoons was determined by typhoon-induced vertical mixing and coastal upwelling, along with initial oceanic conditions. Typhoon Nida caused a decrease in pCO2sea with Total Alkalinity (TA) and Sea Surface Temperature (SST) being the primary factors. However, typhoons Hato, Mangkhut, and Merbok caused an increase in pCO2sea with Dissolved Inorganic Carbon (DIC) playing a more prominent role. The average CO2 fluxes during the passage were approximately 6-14 times higher than those before typhoon passage. These results enhance our understanding of the effect of typhoons on air-sea CO2 fluxes over the northern coastal area of the South China Sea.

show abstract

Section: Datamentioning

confidence: 99%

Section: Model Settingsmentioning

confidence: 99%

Simulating the impact of typhoons on air‐sea CO₂ fluxes on the northern coastal area of the South China Sea

Meng,

Guan,

Feng

2024

Environ. Res. Lett.

View full text Add to dashboard Cite

show abstract

High‐Resolution Variability of the Ocean Carbon Sink

Gregor,

Shutler,

Gruber

2024

Global Biogeochemical Cycles

View full text Add to dashboard Cite

Measurements of the surface ocean fugacity of carbon dioxide (fCO2) provide an important constraint on the global ocean carbon sink, yet the gap‐filling products developed so far to cope with the sparse observations are relatively coarse (1° × 1° by 1 month). Here, we overcome this limitation by using a novel combination of machine learning‐based methods and target transformations to estimate surface ocean fCO2 and the associated sea‐air CO2 fluxes (FCO2) globally at a resolution of 8‐day by 0.25° × 0.25° (8D) over the period 1982 through 2022. Globally, the method reconstructs fCO2 with accuracy similar to that of low‐resolution methods (∼19 μatm), but improves it in the coastal ocean. Although global ocean CO2 uptake differs little, the 8D product captures 15% more variance in FCO2. Most of this increase comes from the better‐represented subseasonal scale variability, which is largely driven by the better‐resolved variability of the winds, but also contributed to by the better‐resolved fCO2. The high‐resolution fCO2 is also capable of capturing the signal of short‐lived regional events such as hurricanes. For example, the 8D product reveals that fCO2 was at least 25 μatm lower in the wake of Hurricane Maria (2017), the result of a complex interplay between the decrease in temperature, the entrainment of carbon‐rich waters, and an increase in primary production. By providing new insights into the role of higher frequency variations of the ocean carbon sink and the underlying processes, the 8D product fills an important gap.

show abstract

Construction of a High Spatiotemporal Resolution Dataset of Satellite-Derived pCO₂ and Air–Sea CO₂ Flux in the South China Sea (2003–2019)

Cited by 2 publications

References 45 publications

Simulating the impact of typhoons on air‐sea CO₂ fluxes on the northern coastal area of the South China Sea

Simulating the impact of typhoons on air‐sea CO₂ fluxes on the northern coastal area of the South China Sea

High‐Resolution Variability of the Ocean Carbon Sink

Contact Info

Product

Resources

About

Construction of a High Spatiotemporal Resolution Dataset of Satellite-Derived pCO2 and Air–Sea CO2 Flux in the South China Sea (2003–2019)

Cited by 2 publications

References 45 publications

Simulating the impact of typhoons on air‐sea CO2 fluxes on the northern coastal area of the South China Sea

Simulating the impact of typhoons on air‐sea CO2 fluxes on the northern coastal area of the South China Sea

High‐Resolution Variability of the Ocean Carbon Sink

Contact Info

Product

Resources

About

Construction of a High Spatiotemporal Resolution Dataset of Satellite-Derived pCO₂ and Air–Sea CO₂ Flux in the South China Sea (2003–2019)

Simulating the impact of typhoons on air‐sea CO₂ fluxes on the northern coastal area of the South China Sea

Simulating the impact of typhoons on air‐sea CO₂ fluxes on the northern coastal area of the South China Sea