%0 Dataset
%T Global Daily Grid Dataset of Dimethyl Sulfur on the Sea Surface (1998-2017)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/4ec031e5-9c5a-4de2-95d2-bbd9fbfcb22d
%W NCDC
%R 10.12072/ncdc.zenodo.db6674.2024
%A Chen Ying
%K Dimethyl sulfide;DMD;marine
%X This dataset includes: (1) matching and classification data, used to construct an artificial neural network (ANN) ensemble model to simulate the concentration of dimethyl sulfide (DMS) in the sea surface; (2) Using an artificial neural network model to simulate the daily sea surface concentration of global DMS from 1998 to 2017, calculate the total transport velocity (Kt) and air sea flux.   The input variables of this model include chlorophyll a, sea surface temperature (SST), mixed layer depth (MLD), nitrate, phosphate, silicate, dissolved oxygen (DO), downward shortwave radiation (DSWF), and sea surface salinity (SSS). The spatial resolution of the simulated dataset is 1 °× 1 °. The units of DMS concentration, Kt, and flux are nmol · L-1, m · S-1, and μ mol · S m-2d-1, respectively.