The data of γCO2 which assess ocean absorption capacity for CO2 ...

This data is used to support the manuscript "Assess Absorption Capacity for CO2 and Ocean Acidification Based on A New Indicator γCO2". We propose a new factor to measure the capacity of seawater to absorb CO2. Of the data provided, the GAMACO2CAL.m file is a Matlab Calculation Method of γ...

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Main Author: Wang, Zhibo
Format: Dataset
Language:unknown
Published: Mendeley Data 2024
Subjects:
Online Access:https://dx.doi.org/10.17632/37xs9xhmjg
https://data.mendeley.com/datasets/37xs9xhmjg
id ftdatacite:10.17632/37xs9xhmjg
record_format openpolar
spelling ftdatacite:10.17632/37xs9xhmjg 2024-09-15T18:28:03+00:00 The data of γCO2 which assess ocean absorption capacity for CO2 ... Wang, Zhibo 2024 https://dx.doi.org/10.17632/37xs9xhmjg https://data.mendeley.com/datasets/37xs9xhmjg unknown Mendeley Data https://dx.doi.org/10.17632/37xs9xhmjg.1 Creative Commons Attribution 4.0 International info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Chemical Oceanography Inorganic Carbon Ocean Dataset dataset 2024 ftdatacite https://doi.org/10.17632/37xs9xhmjg10.17632/37xs9xhmjg.1 2024-07-03T13:26:58Z This data is used to support the manuscript "Assess Absorption Capacity for CO2 and Ocean Acidification Based on A New Indicator γCO2". We propose a new factor to measure the capacity of seawater to absorb CO2. Of the data provided, the GAMACO2CAL.m file is a Matlab Calculation Method of γCO2. Please run help GAMACO2CAL to get using method. The code is relatively short, so check and revised the instructions yourself. The historical.nc is the calculations of the Revelle factors, GAMADIC factors and GAMACO2 factors from January 1992 to December 2020. For detailed data description, run ncdisp. The 126.nc, 245.nc, 370.nc, 585.nc are the calculations of the GAMACO2 factors from January 2015 to December 2100. For detailed data description, run ncdisp. ... Dataset Ocean acidification DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language unknown
topic Chemical Oceanography
Inorganic Carbon
Ocean
spellingShingle Chemical Oceanography
Inorganic Carbon
Ocean
Wang, Zhibo
The data of γCO2 which assess ocean absorption capacity for CO2 ...
topic_facet Chemical Oceanography
Inorganic Carbon
Ocean
description This data is used to support the manuscript "Assess Absorption Capacity for CO2 and Ocean Acidification Based on A New Indicator γCO2". We propose a new factor to measure the capacity of seawater to absorb CO2. Of the data provided, the GAMACO2CAL.m file is a Matlab Calculation Method of γCO2. Please run help GAMACO2CAL to get using method. The code is relatively short, so check and revised the instructions yourself. The historical.nc is the calculations of the Revelle factors, GAMADIC factors and GAMACO2 factors from January 1992 to December 2020. For detailed data description, run ncdisp. The 126.nc, 245.nc, 370.nc, 585.nc are the calculations of the GAMACO2 factors from January 2015 to December 2100. For detailed data description, run ncdisp. ...
format Dataset
author Wang, Zhibo
author_facet Wang, Zhibo
author_sort Wang, Zhibo
title The data of γCO2 which assess ocean absorption capacity for CO2 ...
title_short The data of γCO2 which assess ocean absorption capacity for CO2 ...
title_full The data of γCO2 which assess ocean absorption capacity for CO2 ...
title_fullStr The data of γCO2 which assess ocean absorption capacity for CO2 ...
title_full_unstemmed The data of γCO2 which assess ocean absorption capacity for CO2 ...
title_sort data of γco2 which assess ocean absorption capacity for co2 ...
publisher Mendeley Data
publishDate 2024
url https://dx.doi.org/10.17632/37xs9xhmjg
https://data.mendeley.com/datasets/37xs9xhmjg
genre Ocean acidification
genre_facet Ocean acidification
op_relation https://dx.doi.org/10.17632/37xs9xhmjg.1
op_rights Creative Commons Attribution 4.0 International
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.17632/37xs9xhmjg10.17632/37xs9xhmjg.1
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