SeaFlux: harmonization of air–sea CO<sub>2</sub> fluxes from surface <i>p</i>CO<sub>2</sub> data products using a standardized approach

Abstract. Air–sea flux of carbon dioxide (CO2) is a critical component the global cycle and climate system with ocean removing about quarter CO2 emitted into atmosphere by human activities over last decade. A common approach to estimate this net across air–sea interface use surface observations computation through bulk parameterization approach. Yet, details for how done in order arrive at uptake vary greatly, enhancing spread estimates. Here we introduce ensemble data product, SeaFlux (Gregor Fay, 2021, https://doi.org/10.5281/zenodo.5482547​​​​​​​, https://github.com/luke-gregor/pySeaFlux, access: 9 September 2021​​​​​​​); resource enables users harmonize an products that interpolate near-global coverage methodology fill missing areas products. Further, dataset provides inputs calculate fluxes consistent manner. Utilizing six observation-based mapping (CMEMS-FFNN, CSIR-ML6, JENA-MLS, JMA-MLR, MPI-SOMFFN, NIES-FNN), adjusts methodological inconsistencies calculations. We address differences spatial between products, which ultimately yields increase up 17 % some Fluxes are calculated using three wind (CCMPv2, ERA5, JRA55). Application scaled gas exchange coefficient has greater impact on resulting than solely choice product. With these adjustments, present pCO2 This work aims support community effort perform model–data intercomparisons will help identify as strive close budget.