%0 Dataset
%T A 20-year (1998-2017) global sea surface dimethyl sulfide gridded dataset with daily resolution
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/8febe133-febd-4fec-aa6d-eb665a0d9a90
%W NCDC
%R 10.5281/zenodo.7898187
%A Chen Ying
%K DMS;sea surface;dimethyl sulfide
%X This dataset includes: (1) matching and sorting data for constructing an artificial neural network (ANN) ensemble model to simulate the concentration of dimethyl sulfide (DMS) on the sea surface; (2) The ANN model simulates the global daily sea surface concentrations of dimethyl sulfide from 1998 to 2017, as well as the calculated total transport velocity (Kt) and air sea flux. The input variables of this ANN ensemble 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, ms-1, and μ mol S m-2d-1, respectively.