Therefore, covering various BGC classes could provide a more comprehensive view of compound classes with distinct biological/physiological functions that would engage in different stages of the life cycle. Surprisingly, although NRPS BGCs are prolific in XP, all of their BGs scatter in the accessory ...
The CMEMS data combine the BGC-Argo and the MODIS Chl-a concentration data to reconstruct global ocean Chl-a concentration profile data using the neural network method [41]. The multi-year monthly climatological field Chl-a concentration profile data from the CMEMS are used to simulate the ...
Climatological monthly mean profiles of oceanic temperature and salinity are obtained from Argo32 (http://apdrc.soest.hawaii.edu/projects/Argo/index.php) to perform numerical experiments with the Price–Weller–Pinkel (PWP) mixed layer ocean model. Typhoon track data for the period 1979–2013, ...
For SSS, the Year 2000 marks the beginning of the ARGO program, the first continuous, near-global salinity observing system (Durack et al., 2016); however, we show no emergence for regional or local trends over the 20 yr period 2000–2019 (Figure S13). Looking to the future again, to...
This neural network, named SOCA (Satellite Ocean Color merged with Argo data to infer bio-optical properties to depth), was trained and validated using the BGC-Argo database of temperature, salinity, and 𝑏𝑏𝑝bbp profiles. The SOCA method for 𝑏𝑏𝑝bbp estimation at depth requires ...