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...
Published in: | Global Biogeochemical Cycles |
---|---|
Main Authors: | , , , , , , |
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 |
id |
ftseoulnuniv:oai:s-space.snu.ac.kr:10371/192743 |
---|---|
record_format |
openpolar |
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 |
container_start_page |
n/a |
op_container_end_page |
n/a |
_version_ |
1770271396716347392 |