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' - <strong>BGCARGO_Data.tar.gz</strong>: 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) - <strong>NNalongARGO.tar.gz</strong>: 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 - <strong>NN2018_CMEMS_ARGO.tar.gz</strong>: 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') - <strong>NNReconBlackSea.tar.gz</strong>: 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)本数据集包含研究论文《黑海真光层动力学：剖面浮标数据、机器学习与数值模拟的协同应用》中所使用的ARGO浮标（Array for Real-Time Geostrophic Oceanography）数据、CMEMS（Copernicus Marine Environment Monitoring Service）模式结果，以及神经网络（Neural Networks, NN）仿真生成的数据。各归档文件详情如下： - <strong>BGCARGO_Data.tar.gz</strong>：该归档文件包含生物地球化学（Biogeochemical, BGC）ARGO浮标的NetCDF格式数据； - 该归档文件包含CMEMS模式数据（温度、盐度、溶解氧、叶绿素a及海面高度）的NetCDF格式数据； - <strong>NNalongARGO.tar.gz</strong>：该归档文件包含Matlab二进制文件，内含沿ARGO浮标轨迹生成的神经网络衍生生物地球化学变量（叶绿素a、溶解氧及700nm后向散射系数），同时附带ARGO浮标数据，所有数据的垂直分辨率为1米； - <strong>NN2018_CMEMS_ARGO.tar.gz</strong>：该归档文件包含Matlab二进制文件，内含沿ARGO浮标轨迹生成的神经网络衍生生物地球化学变量（叶绿素a、溶解氧及700nm后向散射系数），同时附带CMEMS数据；所有数据均采用CMEMS的垂直分辨率；神经网络分别基于CMEMS物理场（标记为'C'）或ARGO浮标物理场（标记为'A'）进行推演； - <strong>NNReconBlackSea.tar.gz</strong>：该归档文件包含Matlab二进制文件，内含2015至2019年黑海全海域的神经网络衍生生物地球化学变量（叶绿素a、溶解氧及700nm后向散射系数），数据为周均数据。