Dynamics of the euphotic zone in the Black Sea: The synergy of data from profiling floats, machine learning and numerical modeling

The dataset contains ARGO data, CMEMS model results ans data emulated by Neural networks (NN) used within the study 'Dynamics of the euphotic zone in the Black Sea: The synergy of data from profiling floats, machine learning and numerical modeling'

- BGCARGO_Data.tar.gz: archive contains netcdf-data from biogeochemical ARGO-floats

- : archive contains netcdf-data of CMEMS model data (temperature, salinity, oxygen, Chlorophyll-a and sea surface height)

- NNalongARGO.tar.gz: archive contains Matlab binary files consisting of NN derived BGC variables (Chlorophyll-a, Oxygen and backscatter at 700nm) along ARGO path together with ARGO data; all with 1m vertical resolution

- NN2018_CMEMS_ARGO.tar.gz: archive contains Matlab binary files consisting of NN derived BGC variables (Chlorophyll-a, Oxygen and backscatter at 700nm) along ARGO path together with CMEMS data; all data have CMEMS vertical resolution; NN was applied either on CMEMS physics ('C') or on ARGO physics ('A')

- NNReconBlackSea.tar.gz: archive contains Matlab binary files consisting of basin wide NN derived BGC variables (Chlorophyll-a, Oxygen and backscatter at 700nm) for the years 2015-19  (weekly mean data)