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Global 4km Monthly seawater co2 partial pressure from 2000 to 2018

Global 4km Monthly seawater co2 partial pressure from 2000 to 2018


Tag:     Release time: 2022-06-29      Browsing times: 2497    

Dataset Size
12582912 kb
Dataset Name
Global 4km Monthly seawater co2 partial pressure from 2000 to 2018
Abstract
dataset was retrieved based on measured data(SOCAT), reanalysis data (ERA5), model data (ECCO2,CT2019B) and remote-sensing data(ESA OC-CCI、MODIS) using machine learning model for the study of global carbon cycle, marine carbon source and sink, etc.
Key Words
Purpose
It is used to study the temporal and spatial distribution of sea-air carbon flux change
Limitation for using
None
License
None
Data Extension
None
File Format
NetCDF
Scale
global
Production Unit
Zhejiang University
Onlink
None
Supplement
None
Datasource
Measured data (SOCAT), reanalysis data (ERA5), model data (ECCO2,CT2019B), remotesensing data(ESA OC-CCI、MODIS)
Publish Time
2022-06-01
Project Information
None
Project Status
finish
Project Name
Marine big data analysis
Project Leader
Du zhenhong
Start Time
2020-01-01
Finish Time
2022-03-01
Projection
Geographic Lat/Lon
Coordinate
WGS84
Data Quality
Using the measured data to test the predicted data set, RMSE < 20, R2 > 0.85
Contributor Name
Du zhenhong
Contributor Agency
Zhejiang University
Contributor Address
Main teaching building of Xixi campus of Zhejiang University, No. 148 Tianmushan Road, Xihu District, Hangzhou, Zhejiang Province
Contributor Postcode
310063
Contributor Phone
+86-571-88273287
Contributor Email
duzhenhong@zju.edu.cn
Contributor Fax
None
Contributor Homepage
https://person.zju.edu.cn/duzhenhongzju
West BL
-180
East BL
180
South BL
-78.10416
North BL
90
Begin Time
2000-01-01
End Time
2018-12-01
Ver Min
0m
Ver Max
0m
Responsible Name
WDC RRE Working Team
RespInst Name
Institute of Geographic Sciences and Natural Resources Research, CAS.
RespInst Address
11 A, Datun Road, Chaoyang District, Beijing, 100101, China.
RespInst Postcode
100101
RespInst Phone
+86-10-64889048-8006
RespInst Email
wdc-rre(at)lreis.ac.cn
RespInst Fax
+86-10-64889048
RespInst Homepage
http://english.igsnrr.cas.cn/

dataset was retrieved based on measured data(SOCAT), reanalysis data (ERA5), model data (ECCO2,CT2019B) and remote-sensing data(ESA OC-CCI、MODIS) using machine learning model for the study of global carbon cycle, marine carbon source and sink, etc.

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