Prediction of Sea of Japan (East Sea) acidification over the past 40 years using a multiparameter regression model

A multiparameter linear regression model (MLR) of aragonite saturation state (Omega(ARG)) as a function of temperature, pressure and O-2 concentration in the upper 1,000 m of the Sea of Japan (East Sea) was derived with an uncertainty of +/- 0.020 (1 sigma). The Omega(ARG) data (n = 1,482) used to d...

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Published in:Global Biogeochemical Cycles
Main Authors: Kim, Tae-Wook, Lee, Kitack, Feely, Richard A., Sabine, Christopher L., Chen, Chen-Tung Arthur, Jeong, Hae Jin, Kim, Kwang Young
Format: Article in Journal/Newspaper
Language:unknown
Published: American Geophysical Union 2022
Subjects:
Online Access:https://hdl.handle.net/10371/192743
https://doi.org/10.1029/2009GB003637
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spelling ftseoulnuniv:oai:s-space.snu.ac.kr:10371/192743 2023-07-02T03:31:56+02:00 Prediction of Sea of Japan (East Sea) acidification over the past 40 years using a multiparameter regression model Kim, Tae-Wook Lee, Kitack Feely, Richard A. Sabine, Christopher L. Chen, Chen-Tung Arthur Jeong, Hae Jin Kim, Kwang Young Jeong, Hae Jin 2022-03-21 https://hdl.handle.net/10371/192743 https://doi.org/10.1029/2009GB003637 영어 unknown American Geophysical Union Global Biogeochemical Cycles, Vol.24 No.3, p. GB3005 0886-6236 https://hdl.handle.net/10371/192743 doi:10.1029/2009GB003637 000280045100003 2-s2.0-77955221945 156256 INCREASED ATMOSPHERIC CO2 FOSSIL-FUEL CO2 OCEAN ACIDIFICATION ANTHROPOGENIC CO2 DISSOCIATION-CONSTANTS CARBONIC-ACID INORGANIC CARBON ATLANTIC-OCEAN INDIAN-OCEAN REDUCED CALCIFICATION Article ART 2022 ftseoulnuniv https://doi.org/10.1029/2009GB003637 2023-06-09T00:37:08Z A multiparameter linear regression model (MLR) of aragonite saturation state (Omega(ARG)) as a function of temperature, pressure and O-2 concentration in the upper 1,000 m of the Sea of Japan (East Sea) was derived with an uncertainty of +/- 0.020 (1 sigma). The Omega(ARG) data (n = 1,482) used to derive the basin-wide Omega(ARG) prediction model were collected during a field survey in 1999 and were corrected for anthropogenic CO2. Some biases were resolved by addition of a pressure and O-2 concentration interaction term to the proposed model. Correlation between the two predictor terms, caused by addition of this term, was minimized by centering the data for the three variables (thus subtracting the mean from each individual data point). Validation of the model against data sets obtained in 1992 and 2007 yielded correlation coefficients of 0.995 +/- 0.013 for 1992 (n = 64, p << 0.001) and 0.995 +/- 0.009 for 2007 (n = 137, p << 0.001) and root mean square errors of +/- 0.064 for 1992 and +/- 0.050 for 2007. The strong correlation between measurements and predictions suggests that the model can be used to estimate the distribution of Omega(ARG) in the Sea of Japan (East Sea) (including dynamic coastal waters) on varying time scales when basic hydrographic data on temperature, pressure and O-2 concentration are available. Application of the model to past measurements for the Sea of Japan (East Sea) indicated that interdecadal variability (2 sigma from the mean) in Omega(ARG) corrected for anthropogenic CO2 was generally high (0.1-0.7) in the upper water layer (<200 m depth), and decreased (0.05-0.2) with depth for waters deeper than 500 m. The interdecadal variability is largely controlled by variations in the degree of water column ventilation. Superimposed on this natural variability, the input of CO2 derived from fossil fuels has markedly acidified the upper water layers during the anthropocene and thereby moved the aragonite saturation horizon upward by 50-250 m. The impact of CO2 derived from ... Article in Journal/Newspaper Carbonic acid Ocean acidification Seoul National University: S-Space Indian Global Biogeochemical Cycles 24 3 n/a n/a
institution Open Polar
collection Seoul National University: S-Space
op_collection_id ftseoulnuniv
language unknown
topic INCREASED ATMOSPHERIC CO2
FOSSIL-FUEL CO2
OCEAN ACIDIFICATION
ANTHROPOGENIC CO2
DISSOCIATION-CONSTANTS
CARBONIC-ACID
INORGANIC CARBON
ATLANTIC-OCEAN
INDIAN-OCEAN
REDUCED CALCIFICATION
spellingShingle INCREASED ATMOSPHERIC CO2
FOSSIL-FUEL CO2
OCEAN ACIDIFICATION
ANTHROPOGENIC CO2
DISSOCIATION-CONSTANTS
CARBONIC-ACID
INORGANIC CARBON
ATLANTIC-OCEAN
INDIAN-OCEAN
REDUCED CALCIFICATION
Kim, Tae-Wook
Lee, Kitack
Feely, Richard A.
Sabine, Christopher L.
Chen, Chen-Tung Arthur
Jeong, Hae Jin
Kim, Kwang Young
Prediction of Sea of Japan (East Sea) acidification over the past 40 years using a multiparameter regression model
topic_facet INCREASED ATMOSPHERIC CO2
FOSSIL-FUEL CO2
OCEAN ACIDIFICATION
ANTHROPOGENIC CO2
DISSOCIATION-CONSTANTS
CARBONIC-ACID
INORGANIC CARBON
ATLANTIC-OCEAN
INDIAN-OCEAN
REDUCED CALCIFICATION
description A multiparameter linear regression model (MLR) of aragonite saturation state (Omega(ARG)) as a function of temperature, pressure and O-2 concentration in the upper 1,000 m of the Sea of Japan (East Sea) was derived with an uncertainty of +/- 0.020 (1 sigma). The Omega(ARG) data (n = 1,482) used to derive the basin-wide Omega(ARG) prediction model were collected during a field survey in 1999 and were corrected for anthropogenic CO2. Some biases were resolved by addition of a pressure and O-2 concentration interaction term to the proposed model. Correlation between the two predictor terms, caused by addition of this term, was minimized by centering the data for the three variables (thus subtracting the mean from each individual data point). Validation of the model against data sets obtained in 1992 and 2007 yielded correlation coefficients of 0.995 +/- 0.013 for 1992 (n = 64, p << 0.001) and 0.995 +/- 0.009 for 2007 (n = 137, p << 0.001) and root mean square errors of +/- 0.064 for 1992 and +/- 0.050 for 2007. The strong correlation between measurements and predictions suggests that the model can be used to estimate the distribution of Omega(ARG) in the Sea of Japan (East Sea) (including dynamic coastal waters) on varying time scales when basic hydrographic data on temperature, pressure and O-2 concentration are available. Application of the model to past measurements for the Sea of Japan (East Sea) indicated that interdecadal variability (2 sigma from the mean) in Omega(ARG) corrected for anthropogenic CO2 was generally high (0.1-0.7) in the upper water layer (<200 m depth), and decreased (0.05-0.2) with depth for waters deeper than 500 m. The interdecadal variability is largely controlled by variations in the degree of water column ventilation. Superimposed on this natural variability, the input of CO2 derived from fossil fuels has markedly acidified the upper water layers during the anthropocene and thereby moved the aragonite saturation horizon upward by 50-250 m. The impact of CO2 derived from ...
author2 Jeong, Hae Jin
format Article in Journal/Newspaper
author Kim, Tae-Wook
Lee, Kitack
Feely, Richard A.
Sabine, Christopher L.
Chen, Chen-Tung Arthur
Jeong, Hae Jin
Kim, Kwang Young
author_facet Kim, Tae-Wook
Lee, Kitack
Feely, Richard A.
Sabine, Christopher L.
Chen, Chen-Tung Arthur
Jeong, Hae Jin
Kim, Kwang Young
author_sort Kim, Tae-Wook
title Prediction of Sea of Japan (East Sea) acidification over the past 40 years using a multiparameter regression model
title_short Prediction of Sea of Japan (East Sea) acidification over the past 40 years using a multiparameter regression model
title_full Prediction of Sea of Japan (East Sea) acidification over the past 40 years using a multiparameter regression model
title_fullStr Prediction of Sea of Japan (East Sea) acidification over the past 40 years using a multiparameter regression model
title_full_unstemmed Prediction of Sea of Japan (East Sea) acidification over the past 40 years using a multiparameter regression model
title_sort prediction of sea of japan (east sea) acidification over the past 40 years using a multiparameter regression model
publisher American Geophysical Union
publishDate 2022
url https://hdl.handle.net/10371/192743
https://doi.org/10.1029/2009GB003637
geographic Indian
geographic_facet Indian
genre Carbonic acid
Ocean acidification
genre_facet Carbonic acid
Ocean acidification
op_relation Global Biogeochemical Cycles, Vol.24 No.3, p. GB3005
0886-6236
https://hdl.handle.net/10371/192743
doi:10.1029/2009GB003637
000280045100003
2-s2.0-77955221945
156256
op_doi https://doi.org/10.1029/2009GB003637
container_title Global Biogeochemical Cycles
container_volume 24
container_issue 3
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op_container_end_page n/a
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