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 and data emulated by Neural networks (NN) used in the study 'Dynamics of the euphotic zone in the Black Sea: The synergy of data from profiling floats, machine learning and numerical modeling'

- NNalongARGO.tar.gz: archive contains Matlab binary files consisting of NN-derived BGC variables (Chlorophyll-a, Oxygen and backscatter at 700 nm) along ARGO float pathes together with ARGO data themselves (time, latitude, longitude, salinity, temperature, sigma_T and BGC variables); all variables have 1m vertical resolution; depth range is [1m 150m] ; additionally, float ogs7 data include NO3, float hzg1 data exclude Chlorophyll-a and backscatter at 700 nm; (filenames are  floatname_euph_1mRes_150mALLINCLNN.mat)

- 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 float pathes in 2018 with vertical resolution taken von CMEMS (13 depth levels ); NN was applied either on CMEMS physics ('C') or on ARGO physics ('A'); additionally, CMEMS BGC model data (Chlorophyll-a and Oxygen) along these pathes are included; (filenames are floatname_2018_NNARGOCMEMS.mat)

- 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 and 2010/11 (weekly mean data); additionally CMEMS data (time, latitude, longitude, salinity, temperature, sea surface height) are provided at CMEMS model upper 15 depth levels; (filenames are reconNNCMEMS_2015_2019.mat and reconNNCMEMS_2010_2011.mat, respectively)