Deciphering the variability in air-sea gas transfer due to sea state and wind history.

ABSTRACT: Understanding processes driving air-sea gas transfer and being able to model both its mean and variability are critical for studies of climate and carbon cycle. The air-sea gas transfer velocity (K ₆₆₀) is almost universally parameterized as a function of wind speed in large scale models-an oversimplification that buries the mechanisms controlling K ₆₆₀ and neglects much natural variability. Sea state has long been speculated to affect gas transfer, but consistent relationships from in situ observations have been elusive. Here, applying a machine learning technique to an updated compilation of shipboard direct observations of the CO₂ transfer velocity (K _CO2,660), we show that the inclusion of significant wave height improves

SUBMITTER: Yang M 

PROVIDER: S-EPMC11410043 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature