ncdc logo title
ncdc_logo
Global Daily Grid Dataset of Dimethyl Sulfur on the Sea Surface (1998-2017)
  • 2024/07/27 01:03
  • 3076
  • 3
English name
Global Daily Grid Dataset of Dimethyl Sulfur on the Sea Surface (1998-2017)
CSTR
CSTR:11738.11.NCDC.ZENODO.DB6674.2024
DOI
10.12072/ncdc.zenodo.db6674.2024
Share type
Journal data - open download
Category
Hydrology
source site
Zenodo
contributors
CHEN Ying
Datasets description

    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.

Base information
collect time 1998/01/01  -  2017/12/31
collect place Global
data size 5.4 GiB
data format mat
Coordinate system
Data thumbnail
Data source description

    Zenodo website https://zenodo.org/records/7898187

Data processing method

    Using artificial neural network ensemble model to simulate and predict.

Data quality description

    The data quality is good.

Citations and annotations
In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. CHEN Ying. Global Daily Grid Dataset of Dimethyl Sulfur on the Sea Surface (1998-2017). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.11.NCDC.ZENODO.DB6674.2024.
  2. CHEN Ying. Global Daily Grid Dataset of Dimethyl Sulfur on the Sea Surface (1998-2017). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2024. https://www.doi.org/10.12072/ncdc.zenodo.db6674.2024.
Papers to be cited
  1. Zhou S, Chen Y, Huang S, Gong X, Yang G, Zhang H, Herrmann H, Wiedensohler A, Poulain L, Zhang Y, Wang F, Xu Z, Yan K. A 20-year (1998-2017) global sea surface dimethyl sulfide gridded dataset with daily resolution[J]. Earth Syst. Sci. Data Discuss., 2023-12-12, 2023: 1-38. DOI: 10.5194/essd-2023-249.
    Reference format： Endnote Bibtex RIS
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 _ncdc_meta_.json 4.0 KiB
2 全球海面二甲基硫逐日网格数据集(1998-2017年).zip 5.4 GiB
loading
How to get the data 
It can be downloaded directly or via FTP, and it is recommended to download large data sets via FTP.
publications
A 20-year (1998–2017) global sea surface dimethyl sulfide gridded dataset with daily resolution
east 
west 
south 
north 
Export metadata
Service information
contacts:
Min Yufang
phone:
0931-4967596
mailbox:
ncdc@lzb.ac.cn
Contact information
contributors:
CHEN Ying
author:
CHEN Ying
manager:
CHEN Ying

©Copyright 2005-. Northwest Institute of Eco-Environment and Resources, CAS.

Donggang West Road 320, Lanzhou, Gansu, China (730000)