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A global monthly climatology of oceanic total dissolved inorganic carbon (DIC): a neural network approach (NCEI Accession 0222469)
Daniel Broullón, , Fiz F. Pérez, Antón Velo, Mario Hoppema, Are Olsen, , Taro Takahashi, , Robert M. Key, , Toste Tanhua, , J. Magdalena Santana-Casiano, Alex Kozyr &
This NCEI accession contains global monthly climatology of oceanic total dissolved inorganic carbon (DIC). (DIC) monthly climatology was created from a neural network approach (Broullón et al., 2020). The neural network was trained with GLODAPv2.2019 (Olsen et al., 2019) and LDEOv2016 (Takahashi et al., 2017) data, using as predictor variables position (latitude, longitude and depth), year, temperature, salinity, phosphate, nitrate, silicate and dissolved oxygen. pCO2 from LDEOv2016 and AT from Broullón et al. (2019) were...