Depth-resolved photochemical production of hydrogen peroxide in the global ocean using remotely sensed ocean color

Hydrogen peroxide (H2O2) is an important reactive oxygen species (ROS) in natural waters, affecting water quality via participation in metal redox reactions and causing oxidative stress for marine ecosystems. While attempts have been made to better understand H2O2 dynamics in the global ocean, the r...

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Published in:Frontiers in Remote Sensing
Main Authors: Yuting Zhu, Leanne C. Powers, David J. Kieber, William L. Miller
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2022
Subjects:
Online Access:https://doi.org/10.3389/frsen.2022.1009398
https://doaj.org/article/8ccd1d1f74e5414a918a4c58935e2bce
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spelling ftdoajarticles:oai:doaj.org/article:8ccd1d1f74e5414a918a4c58935e2bce 2023-05-15T13:57:41+02:00 Depth-resolved photochemical production of hydrogen peroxide in the global ocean using remotely sensed ocean color Yuting Zhu Leanne C. Powers David J. Kieber William L. Miller 2022-10-01T00:00:00Z https://doi.org/10.3389/frsen.2022.1009398 https://doaj.org/article/8ccd1d1f74e5414a918a4c58935e2bce EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/frsen.2022.1009398/full https://doaj.org/toc/2673-6187 2673-6187 doi:10.3389/frsen.2022.1009398 https://doaj.org/article/8ccd1d1f74e5414a918a4c58935e2bce Frontiers in Remote Sensing, Vol 3 (2022) photochemistry superoxide remote sensing UV radiation reactive oxygen species Geophysics. Cosmic physics QC801-809 Meteorology. Climatology QC851-999 article 2022 ftdoajarticles https://doi.org/10.3389/frsen.2022.1009398 2022-12-30T21:47:35Z Hydrogen peroxide (H2O2) is an important reactive oxygen species (ROS) in natural waters, affecting water quality via participation in metal redox reactions and causing oxidative stress for marine ecosystems. While attempts have been made to better understand H2O2 dynamics in the global ocean, the relative importance of various H2O2 sources and losses remains uncertain. Our model improves previous estimates of photochemical H2O2 production rates by using remotely sensed ocean color to characterize the ultraviolet (UV) radiation field in surface water along with quantitative chemical data for the photochemical efficiency of H2O2 formation. Wavelength- and temperature-dependent efficiency (i.e., apparent quantum yield, AQY) spectra previously reported for a variety of seawater sources, including coastal and oligotrophic stations in Antarctica, the Pacific Ocean at Station ALOHA, the Gulf of Mexico, and several sites along the eastern coast of the United States were compiled to obtain a “marine-average” AQY spectrum. To evaluate our predictions of H2O2 photoproduction in surface waters using this single AQY spectrum, we compared modeled rates to new measured rates from Gulf Stream, coastal, and nearshore river-outflow stations in the South Atlantic Bight, GA, United States; obtaining comparative differences of 33% or less. In our global model, the “marine-average” AQY spectrum was used with modeled solar irradiance, together with satellite-derived surface seawater temperature and UV optical properties, including diffuse attenuation coefficients and dissolved organic matter absorption coefficients estimated with remote sensing-based algorithms. The final product of the model, a monthly climatology of depth-resolved H2O2 photoproduction rates in the surface mixed layer, is reported for the first time and provides an integrated global estimate of ∼21.1 Tmol yr−1 for photochemical H2O2 production. This work has important implications for photo-redox reactions in seawater and improves our understanding of the role of ... Article in Journal/Newspaper Antarc* Antarctica Directory of Open Access Journals: DOAJ Articles Pacific Frontiers in Remote Sensing 3
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic photochemistry
superoxide
remote sensing
UV radiation
reactive oxygen species
Geophysics. Cosmic physics
QC801-809
Meteorology. Climatology
QC851-999
spellingShingle photochemistry
superoxide
remote sensing
UV radiation
reactive oxygen species
Geophysics. Cosmic physics
QC801-809
Meteorology. Climatology
QC851-999
Yuting Zhu
Leanne C. Powers
David J. Kieber
William L. Miller
Depth-resolved photochemical production of hydrogen peroxide in the global ocean using remotely sensed ocean color
topic_facet photochemistry
superoxide
remote sensing
UV radiation
reactive oxygen species
Geophysics. Cosmic physics
QC801-809
Meteorology. Climatology
QC851-999
description Hydrogen peroxide (H2O2) is an important reactive oxygen species (ROS) in natural waters, affecting water quality via participation in metal redox reactions and causing oxidative stress for marine ecosystems. While attempts have been made to better understand H2O2 dynamics in the global ocean, the relative importance of various H2O2 sources and losses remains uncertain. Our model improves previous estimates of photochemical H2O2 production rates by using remotely sensed ocean color to characterize the ultraviolet (UV) radiation field in surface water along with quantitative chemical data for the photochemical efficiency of H2O2 formation. Wavelength- and temperature-dependent efficiency (i.e., apparent quantum yield, AQY) spectra previously reported for a variety of seawater sources, including coastal and oligotrophic stations in Antarctica, the Pacific Ocean at Station ALOHA, the Gulf of Mexico, and several sites along the eastern coast of the United States were compiled to obtain a “marine-average” AQY spectrum. To evaluate our predictions of H2O2 photoproduction in surface waters using this single AQY spectrum, we compared modeled rates to new measured rates from Gulf Stream, coastal, and nearshore river-outflow stations in the South Atlantic Bight, GA, United States; obtaining comparative differences of 33% or less. In our global model, the “marine-average” AQY spectrum was used with modeled solar irradiance, together with satellite-derived surface seawater temperature and UV optical properties, including diffuse attenuation coefficients and dissolved organic matter absorption coefficients estimated with remote sensing-based algorithms. The final product of the model, a monthly climatology of depth-resolved H2O2 photoproduction rates in the surface mixed layer, is reported for the first time and provides an integrated global estimate of ∼21.1 Tmol yr−1 for photochemical H2O2 production. This work has important implications for photo-redox reactions in seawater and improves our understanding of the role of ...
format Article in Journal/Newspaper
author Yuting Zhu
Leanne C. Powers
David J. Kieber
William L. Miller
author_facet Yuting Zhu
Leanne C. Powers
David J. Kieber
William L. Miller
author_sort Yuting Zhu
title Depth-resolved photochemical production of hydrogen peroxide in the global ocean using remotely sensed ocean color
title_short Depth-resolved photochemical production of hydrogen peroxide in the global ocean using remotely sensed ocean color
title_full Depth-resolved photochemical production of hydrogen peroxide in the global ocean using remotely sensed ocean color
title_fullStr Depth-resolved photochemical production of hydrogen peroxide in the global ocean using remotely sensed ocean color
title_full_unstemmed Depth-resolved photochemical production of hydrogen peroxide in the global ocean using remotely sensed ocean color
title_sort depth-resolved photochemical production of hydrogen peroxide in the global ocean using remotely sensed ocean color
publisher Frontiers Media S.A.
publishDate 2022
url https://doi.org/10.3389/frsen.2022.1009398
https://doaj.org/article/8ccd1d1f74e5414a918a4c58935e2bce
geographic Pacific
geographic_facet Pacific
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source Frontiers in Remote Sensing, Vol 3 (2022)
op_relation https://www.frontiersin.org/articles/10.3389/frsen.2022.1009398/full
https://doaj.org/toc/2673-6187
2673-6187
doi:10.3389/frsen.2022.1009398
https://doaj.org/article/8ccd1d1f74e5414a918a4c58935e2bce
op_doi https://doi.org/10.3389/frsen.2022.1009398
container_title Frontiers in Remote Sensing
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