Articles | Volume 11, issue 1
https://doi.org/10.5194/essd-11-421-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-421-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Autonomous seawater pCO2 and pH time series from 40 surface buoys and the emergence of anthropogenic trends
Adrienne J. Sutton
CORRESPONDING AUTHOR
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Richard A. Feely
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Stacy Maenner-Jones
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Sylvia Musielwicz
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, Washington, USA
John Osborne
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, Washington, USA
Colin Dietrich
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, Washington, USA
Natalie Monacci
Ocean Acidification Research Center, University of Alaska Fairbanks, Fairbanks, Alaska, USA
Jessica Cross
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Randy Bott
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Alex Kozyr
National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Silver Spring, Maryland, USA
Andreas J. Andersson
Scripps Institution of Oceanography, University of California, San Diego, California, USA
Nicholas R. Bates
Bermuda Institute of Ocean Sciences, St. Georges, Bermuda
Department of Ocean and Earth Science, University of Southampton, Southampton, UK
Wei-Jun Cai
University of Delaware, School of Marine Science and Policy, Newark, Delaware, USA
Meghan F. Cronin
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Eric H. De Carlo
University of Hawai'i at Maānoa, School of Ocean and Earth Science and Technology, Honolulu, Hawaii, USA
Burke Hales
College of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, Oregon, USA
Stephan D. Howden
Department of Marine Science, University of Southern Mississippi, Stennis Space Center, Mississippi, USA
Charity M. Lee
Ocean Policy Institute, Korea Institute of Ocean Science and Technology, Busan, Korea
Derek P. Manzello
Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, Florida, USA
Michael J. McPhaden
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Melissa Meléndez
Department of Earth Sciences and Ocean Processes Analysis Laboratory, University of New Hampshire, Durham, New Hampshire, USA
Caribbean Coastal Ocean Observing System, University of Puerto Rico, Mayagüez, Puerto Rico
John B. Mickett
Applied Physics Laboratory, University of Washington, Seattle, Washington, USA
Jan A. Newton
Applied Physics Laboratory, University of Washington, Seattle, Washington, USA
Scott E. Noakes
Center for Applied Isotope Studies, University of Georgia, Athens, Georgia, USA
Jae Hoon Noh
Marine Ecosystem Research Center, Korea Institute of Ocean Science and Technology, Busan, Korea
Solveig R. Olafsdottir
Marine and Freshwater Research Institute, Reykjavik, Iceland
Joseph E. Salisbury
Ocean Process Analysis Laboratory, University of New Hampshire, Durham, New Hampshire, USA
Uwe Send
Scripps Institution of Oceanography, University of California, San Diego, California, USA
Thomas W. Trull
Climate Science Centre, Oceans and Atmosphere, Commonwealth Scientific and Industrial Research Organisation, Hobart, Australia
Antarctic Climate and Ecosystems Cooperative Research Centre, Hobart, Australia
Institute of Marine and Antarctic Studies, University of Tasmania, Hobart, Australia
Douglas C. Vandemark
Ocean Process Analysis Laboratory, University of New Hampshire, Durham, New Hampshire, USA
Robert A. Weller
Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA
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- A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States J. Sharp et al. 10.1038/s41597-024-03530-7
- Surface Water CO2 variability in the Gulf of Mexico (1996–2017) A. Kealoha et al. 10.1038/s41598-020-68924-0
- The Impacts of Ocean Acidification on Marine Ecosystems and Reliant Human Communities S. Doney et al. 10.1146/annurev-environ-012320-083019
- Tracking the Space‐Time Evolution of Ocean Acidification Extremes in the California Current System and Northeast Pacific F. Desmet et al. 10.1029/2021JC018159
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2 citations as recorded by crossref.
- Lateral, Vertical, and Temporal Variability of Seawater Carbonate Chemistry at Hog Reef, Bermuda A. Pezner et al. 10.3389/fmars.2021.562267
- Time of Emergence of Surface Ocean Carbon Dioxide Trends in the North American Coastal Margins in Support of Ocean Acidification Observing System Design D. Turk et al. 10.3389/fmars.2019.00091
Latest update: 20 Nov 2024
Short summary
Long-term observations are critical records for distinguishing natural cycles from climate change. We present a data set of 40 surface ocean CO2 and pH time series that suggests the time length necessary to detect a trend in seawater CO2 due to uptake of atmospheric CO2 varies from 8 years in the least variable ocean regions to 41 years in the most variable coastal regions. This data set provides a tool to evaluate natural cycles of ocean CO2, with long-term trends emerging as records lengthen.
Long-term observations are critical records for distinguishing natural cycles from climate...
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