CMEMS-LSCE: A global 0.25-degree, monthly reconstruction of the surface ocean carbonate system

This dataset, namely CMEMS-LSCE, supports our study focusing on an introduction of a new global 0.25° monthly reconstruction for the period 1985-2021. The CMEMS-LSCE reconstruction derives datasets of six carbonate system variables including surface ocean partial pressure of CO2 (pCO2), total alkalinity (AT), total dissolved inorganic carbon (DIC), surface ocean pH, and saturation states with respect to aragonite (Ωar ) and calcite (Ωca). Reconstructing pCO2 relies on an ensemble of neural network models mapping gridded observation-based data provided by the Surface Ocean CO2 ATlas (SOCAT). Surface ocean AT is estimated with a multiple linear regression approach, and the remaining carbonate variables are resolved by CO2 system speciation given the reconstructed pCO2 and AT. 1σ-uncertainty associated with these estimates is also provided. Here, σ stands for either ensemble standard deviation of pCO2 estimates or total uncertainty for each of the five other variables propagated through the processing chain with input data uncertainty. Reference (article): Chau T.T.T., Gehlen M., Metzl N., Chevallier F. (2023), CMEMS-LSCE: A global 0.25-degree, monthly reconstruction of the surface ocean carbonate system, submitted to the Earth System Science Data journal.