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Article analysis:

The article provides a detailed description of a semi-analytic algorithm for remotely sensing sea surface pCO2 in river-dominated coastal oceans using satellite data. The authors provide evidence to support their claims, such as sensitivity analysis showing limited influence from errors in empirical coefficients and input satellite parameters, as well as consistency between satellite-derived pCO2 and underway data. However, there are some potential biases that should be noted. For example, the authors do not explore any counterarguments or present both sides equally when discussing the validity of their algorithm. Additionally, they do not mention any possible risks associated with using this algorithm or any potential limitations that could arise from its use. Furthermore, the article does not provide any evidence to support its claims about the potential applications of this algorithm beyond the East China Sea case study presented here. Finally, it is unclear if the authors have considered other factors that could affect sea surface pCO2 levels when developing their algorithm, such as wind speed or ocean currents. In conclusion, while this article provides a detailed description of a semi-analytic algorithm for remotely sensing sea surface pCO2 in river-dominated coastal oceans using satellite data, there are some potential biases that should be noted before relying on its conclusions.