A 20-year (1998-2017) global sea surface dimethyl sulfide gridded dataset with daily resolution
Authors/Creators
- 1. Fudan University
- 2. Jinan University
- 3. Westlake University
- 4. Ocean University of China
- 5. Leibniz Institute for Tropospheric Research
Description
This dataset contains (1) the matched and binned data used for constructing an artificial neural network (ANN) ensemble model to simulate the sea surface concentration of dimethyl sulfide (DMS); (2) the simulated global daily sea surface concentrations of DMS ranging from 1998 to 2017 by ANN model and the calculated total transfer velocities (Kt) and sea-to-air fluxes. 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 short-wave 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 d–1, and μmol S m–2 d –1, respectively.
Notes
If you have any questions, please feel free to contact sqzhou17@fudan.edu.cn.
Files
Files
(15.2 GB)
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Additional details
Related works
- Is compiled by
- Model: 10.5281/zenodo.12398985 (DOI)