Articles | Volume 14, issue 4
https://doi.org/10.5194/essd-14-2081-2022
© Author(s) 2022. 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-14-2081-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
29 Apr 2022
Data description article |
| 29 Apr 2022
| 29 Apr 2022
A monthly surface pCO2 product for the California Current Large Marine Ecosystem
Jonathan D. Sharp
CORRESPONDING AUTHOR
Cooperative Institute for Climate, Ocean, and Ecosystem Studies
(CICOES), University of Washington, Seattle, WA 98195, USA
NOAA/OAR Pacific Marine Environmental Laboratory, Seattle, WA 98115,
USA
Andrea J. Fassbender
NOAA/OAR Pacific Marine Environmental Laboratory, Seattle, WA 98115,
USA
Brendan R. Carter
Cooperative Institute for Climate, Ocean, and Ecosystem Studies
(CICOES), University of Washington, Seattle, WA 98195, USA
NOAA/OAR Pacific Marine Environmental Laboratory, Seattle, WA 98115,
USA
Paige D. Lavin
Cooperative Institute for Satellite Earth System Studies/Earth System
Science Interdisciplinary Center (CISESS/ESSIC), University of Maryland,
College Park, MD 20740, USA
NOAA/NESDIS Center for Satellite Applications and Research, College
Park, MD 20740, USA
Adrienne J. Sutton
NOAA/OAR Pacific Marine Environmental Laboratory, Seattle, WA 98115,
USA
Related authors
Li-Qing Jiang, Amanda Fay, Jens Daniel Müller, Luke Gregor, Alizée Roobaert, Lydia Keppler, Dustin Carroll, Siv K. Lauvset, Tim DeVries, Judith Hauck, Christian Rödenbeck, Nicolas Metzl, Andrea J. Fassbender, Jean-Pierre Gattuso, Peter Landschützer, Rik Wanninkhof, Christopher Sabine, Simone R. Alin, Mario Hoppema, Are Olsen, Matthew P. Humphreys, Kunal Chakraborty, Ana C. Franco, Kumiko Azetsu-Scott, Dorothee C. E. Bakker, Leticia Barbero, Nicholas R. Bates, Nicole Besemer, Henry C. Bittig, Albert E. Boyd, Daniel Broullón, Wei-Jun Cai, Brendan R. Carter, Thi-Tuyet-Trang Chau, Chen-Tung Arthur Chen, Frédéric Cyr, John E. Dore, Ian Enochs, Richard A. Feely, Hernan E. Garcia, Marion Gehlen, Prasanna Kanti Ghoshal, Lucas Gloege, Melchor González-Dávila, Nicolas Gruber, Debby Ianson, Yosuke Iida, Masao Ishii, Apurva Padamnabh Joshi, Esther Kennedy, Alex Kozyr, Nico Lange, Claire Lo Monaco, Derek P. Manzello, Galen A. McKinley, Natalie M. Monacci, Xose A. Padin, Ana M. Palacio-Castro, Fiz F. Pérez, J. Magdalena Santana-Casiano, Jonathan Sharp, Adrienne Sutton, Jim Swift, Toste Tanhua, Maciej Telszewski, Jens Terhaar, Ruben van Hooidonk, Anton Velo, Andrew J. Watson, Angelicque E. White, Zelun Wu, Liang Xue, Hyelim Yoo, Jiye Zeng, and Guorong Zhong
Earth Syst. Sci. Data, 18, 1405–1462, https://doi.org/10.5194/essd-18-1405-2026, https://doi.org/10.5194/essd-18-1405-2026, 2026
Short summary
Short summary
This review article provides an overview of 68 existing ocean carbonate chemistry data products and data product sets, encompassing a broad range of types, including compilations of cruise datasets, gap-filled observational products, model simulations, and more. It is designed to help researchers identify and access the data products that best support their scientific objectives, thereby facilitating progress in understanding the ocean's changing carbonate chemistry.
Juan Du, Lijing Cheng, Takamitsu Ito, Hernan E. Garcia, Zhankun Wang, Jonathan D. Sharp, Christopher J. Roach, Shoshiro Minobe, Yuntao Zhou, Bin Lu, Gian G. Navarra, and Seth M. Bushinsky
EGUsphere, https://doi.org/10.5194/egusphere-2026-641, https://doi.org/10.5194/egusphere-2026-641, 2026
This preprint is open for discussion and under review for Ocean Science (OS).
Short summary
Short summary
This study assesses the uncertainty of mean state and annual cycle of ocean dissolved oxygen by multiple observational gridded data products. A good consistency is validated globally, although significant local differences exist in areas of strong spatial gradient. Substantial variations are observed in the annual cycle. Quantifying the discrepancies could help pinpoint regions sensitive to data reconstruction processes and further advance the improvement of oxygen data products.
Yuming Jin, Britton B. Stephens, Eric J. Morgan, Manfredi Manizza, and Jonathan Sharp
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-738, https://doi.org/10.5194/essd-2025-738, 2025
Preprint under review for ESSD
Short summary
Short summary
We produce monthly air-sea O2 flux estimates (2004–2024) on a 1°×1° grid using machine learning-based dissolved oxygen fields (GOBAI-O2, Sharp et al., 2023). Fluxes are calculated with multiple gas exchange schemes and wind products, then constrained to match independent regional to global annual mean fluxes estimates. We evaluate flux seasonal cycles and annual patterns against atmospheric O2 observations and quantify flux uncertainties from multiple sources.
Ben A. Cala, Mariette Wolthers, Olivier Sulpis, Jonathan D. Sharp, and Matthew P. Humphreys
EGUsphere, https://doi.org/10.5194/egusphere-2025-5059, https://doi.org/10.5194/egusphere-2025-5059, 2025
Short summary
Short summary
Magnesium calcites are minerals produced by some marine organisms. Understanding how these minerals dissolve helps us to predict how the ocean stores carbon. We developed a new method to calculate the solubility of these minerals in seawater, using existing laboratory data and taking into account the effects of temperature, salinity and pressure. Applying this method globally, we found that magnesium calcites dissolve deeper than previously thought.
Brendan R. Carter, Jörg Schwinger, Rolf Sonnerup, Andrea J. Fassbender, Jonathan D. Sharp, Larissa M. Dias, and Daniel E. Sandborn
Earth Syst. Sci. Data, 17, 3073–3088, https://doi.org/10.5194/essd-17-3073-2025, https://doi.org/10.5194/essd-17-3073-2025, 2025
Short summary
Short summary
We infer ocean gas exchange and circulation from ocean tracer measurements and use this to create code to estimate the amount of carbon dioxide dissolved in the ocean that is there due to human emissions of CO2 into the atmosphere. The code works across the ocean depths for the past, present, or future from information about the location, temperature, and salinity of the seawater. We produce a data product with estimates throughout the ocean throughout the last ~300 and the next ~500 years.
Jonathan D. Sharp, Andrea J. Fassbender, Brendan R. Carter, Gregory C. Johnson, Cristina Schultz, and John P. Dunne
Earth Syst. Sci. Data, 15, 4481–4518, https://doi.org/10.5194/essd-15-4481-2023, https://doi.org/10.5194/essd-15-4481-2023, 2023
Short summary
Short summary
Dissolved oxygen content is a critical metric of ocean health. Recently, expanding fleets of autonomous platforms that measure oxygen in the ocean have produced a wealth of new data. We leverage machine learning to take advantage of this growing global dataset, producing a gridded data product of ocean interior dissolved oxygen at monthly resolution over nearly 2 decades. This work provides novel information for investigations of spatial, seasonal, and interannual variability in ocean oxygen.
Matthew P. Humphreys, Ernie R. Lewis, Jonathan D. Sharp, and Denis Pierrot
Geosci. Model Dev., 15, 15–43, https://doi.org/10.5194/gmd-15-15-2022, https://doi.org/10.5194/gmd-15-15-2022, 2022
Short summary
Short summary
The ocean helps to mitigate our impact on Earth's climate by absorbing about a quarter of the carbon dioxide (CO2) released by human activities each year. However, once absorbed, chemical reactions between CO2 and water reduce seawater pH (
ocean acidification), which may have adverse effects on marine ecosystems. Our Python package, PyCO2SYS, models the chemical reactions of CO2 in seawater, allowing us to quantify the corresponding changes in pH and related chemical properties.
Li-Qing Jiang, Richard A. Feely, Rik Wanninkhof, Dana Greeley, Leticia Barbero, Simone Alin, Brendan R. Carter, Denis Pierrot, Charles Featherstone, James Hooper, Chris Melrose, Natalie Monacci, Jonathan D. Sharp, Shawn Shellito, Yuan-Yuan Xu, Alex Kozyr, Robert H. Byrne, Wei-Jun Cai, Jessica Cross, Gregory C. Johnson, Burke Hales, Chris Langdon, Jeremy Mathis, Joe Salisbury, and David W. Townsend
Earth Syst. Sci. Data, 13, 2777–2799, https://doi.org/10.5194/essd-13-2777-2021, https://doi.org/10.5194/essd-13-2777-2021, 2021
Short summary
Short summary
Coastal ecosystems account for most of the economic activities related to commercial and recreational fisheries and aquaculture industries, supporting about 90 % of the global fisheries yield and 80 % of known species of marine fish. Despite the large potential risks from ocean acidification (OA), internally consistent water column OA data products in the coastal ocean still do not exist. This paper is the first time we report a high quality OA data product in North America's coastal waters.
Li-Qing Jiang, Amanda Fay, Jens Daniel Müller, Luke Gregor, Alizée Roobaert, Lydia Keppler, Dustin Carroll, Siv K. Lauvset, Tim DeVries, Judith Hauck, Christian Rödenbeck, Nicolas Metzl, Andrea J. Fassbender, Jean-Pierre Gattuso, Peter Landschützer, Rik Wanninkhof, Christopher Sabine, Simone R. Alin, Mario Hoppema, Are Olsen, Matthew P. Humphreys, Kunal Chakraborty, Ana C. Franco, Kumiko Azetsu-Scott, Dorothee C. E. Bakker, Leticia Barbero, Nicholas R. Bates, Nicole Besemer, Henry C. Bittig, Albert E. Boyd, Daniel Broullón, Wei-Jun Cai, Brendan R. Carter, Thi-Tuyet-Trang Chau, Chen-Tung Arthur Chen, Frédéric Cyr, John E. Dore, Ian Enochs, Richard A. Feely, Hernan E. Garcia, Marion Gehlen, Prasanna Kanti Ghoshal, Lucas Gloege, Melchor González-Dávila, Nicolas Gruber, Debby Ianson, Yosuke Iida, Masao Ishii, Apurva Padamnabh Joshi, Esther Kennedy, Alex Kozyr, Nico Lange, Claire Lo Monaco, Derek P. Manzello, Galen A. McKinley, Natalie M. Monacci, Xose A. Padin, Ana M. Palacio-Castro, Fiz F. Pérez, J. Magdalena Santana-Casiano, Jonathan Sharp, Adrienne Sutton, Jim Swift, Toste Tanhua, Maciej Telszewski, Jens Terhaar, Ruben van Hooidonk, Anton Velo, Andrew J. Watson, Angelicque E. White, Zelun Wu, Liang Xue, Hyelim Yoo, Jiye Zeng, and Guorong Zhong
Earth Syst. Sci. Data, 18, 1405–1462, https://doi.org/10.5194/essd-18-1405-2026, https://doi.org/10.5194/essd-18-1405-2026, 2026
Short summary
Short summary
This review article provides an overview of 68 existing ocean carbonate chemistry data products and data product sets, encompassing a broad range of types, including compilations of cruise datasets, gap-filled observational products, model simulations, and more. It is designed to help researchers identify and access the data products that best support their scientific objectives, thereby facilitating progress in understanding the ocean's changing carbonate chemistry.
Juan Du, Lijing Cheng, Takamitsu Ito, Hernan E. Garcia, Zhankun Wang, Jonathan D. Sharp, Christopher J. Roach, Shoshiro Minobe, Yuntao Zhou, Bin Lu, Gian G. Navarra, and Seth M. Bushinsky
EGUsphere, https://doi.org/10.5194/egusphere-2026-641, https://doi.org/10.5194/egusphere-2026-641, 2026
This preprint is open for discussion and under review for Ocean Science (OS).
Short summary
Short summary
This study assesses the uncertainty of mean state and annual cycle of ocean dissolved oxygen by multiple observational gridded data products. A good consistency is validated globally, although significant local differences exist in areas of strong spatial gradient. Substantial variations are observed in the annual cycle. Quantifying the discrepancies could help pinpoint regions sensitive to data reconstruction processes and further advance the improvement of oxygen data products.
Daniel E. Sandborn, Brendan R. Carter, Mark J. Warner, and Larissa M. Dias
EGUsphere, https://doi.org/10.5194/egusphere-2025-5793, https://doi.org/10.5194/egusphere-2025-5793, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Short summary
We present a new implementation of our method for estimation of human-created carbon dioxide in the ocean. "Tracer-based Rapid Anthropogenic Carbon Estimation" relies on transient tracer measurements to infer gas exchange and circulation. Our work implements practical and fundamental improvements increasing accessibility, flexibility, and skill of the method. We provide an updated data product of global ocean carbon inventories spanning the industrial era and a range of future projections.
Yuming Jin, Britton B. Stephens, Eric J. Morgan, Manfredi Manizza, and Jonathan Sharp
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-738, https://doi.org/10.5194/essd-2025-738, 2025
Preprint under review for ESSD
Short summary
Short summary
We produce monthly air-sea O2 flux estimates (2004–2024) on a 1°×1° grid using machine learning-based dissolved oxygen fields (GOBAI-O2, Sharp et al., 2023). Fluxes are calculated with multiple gas exchange schemes and wind products, then constrained to match independent regional to global annual mean fluxes estimates. We evaluate flux seasonal cycles and annual patterns against atmospheric O2 observations and quantify flux uncertainties from multiple sources.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Hongmei Li, Ingrid T. Luijkx, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Kjetil Aas, Simone R. Alin, Peter Anthoni, Leticia Barbero, Nicholas R. Bates, Nicolas Bellouin, Alice Benoit-Cattin, Carla F. Berghoff, Raffaele Bernardello, Laurent Bopp, Ida B. M. Brasika, Matthew A. Chamberlain, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Nathan O. Collier, Thomas H. Colligan, Margot Cronin, Laique Djeutchouang, Xinyu Dou, Matt P. Enright, Kazutaka Enyo, Michael Erb, Wiley Evans, Richard A. Feely, Liang Feng, Daniel J. Ford, Adrianna Foster, Filippa Fransner, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Jefferson Goncalves De Souza, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Bertrand Guenet, Özgür Gürses, Kirsty Harrington, Ian Harris, Jens Heinke, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Akihiko Ito, Andrew R. Jacobson, Atul K. Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Steve D. Jones, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Jürgen Knauer, Yawen Kong, Jan Ivar Korsbakken, Charles Koven, Taro Kunimitsu, Xin Lan, Junjie Liu, Zhiqiang Liu, Zhu Liu, Claire Lo Monaco, Lei Ma, Gregg Marland, Patrick C. McGuire, Galen A. McKinley, Joe Melton, Natalie Monacci, Erwan Monier, Eric J. Morgan, David R. Munro, Jens D. Müller, Shin-Ichiro Nakaoka, Lorna R. Nayagam, Yosuke Niwa, Tobias Nutzel, Are Olsen, Abdirahman M. Omar, Naiqing Pan, Sudhanshu Pandey, Denis Pierrot, Zhangcai Qin, Pierre A. G. Regnier, Gregor Rehder, Laure Resplandy, Alizée Roobaert, Thais M. Rosan, Christian Rödenbeck, Jörg Schwinger, Ingunn Skjelvan, T. Luke Smallman, Victoria Spada, Mohanan G. Sreeush, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Didier Swingedouw, Roland Séférian, Shintaro Takao, Hiroaki Tatebe, Hanqin Tian, Xiangjun Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Erik van Ooijen, Guido van der Werf, Sebastiaan J. van de Velde, Anthony Walker, Rik Wanninkhof, Xiaojuan Yang, Wenping Yuan, Xu Yue, and Jiye Zeng
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-659, https://doi.org/10.5194/essd-2025-659, 2025
Preprint under review for ESSD
Short summary
Short summary
The Global Carbon Budget 2025 describes the methodology, main results, and datasets used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land ecosystems, and the ocean over the historical period (1750–2025). These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Don P. Chambers, Jennifer Bonin, Adrienne Sutton, Roman Battisti, Stacy Maenner, Veronica Tamsitt, and Nancy Williams
Earth Syst. Sci. Data, 17, 5641–5654, https://doi.org/10.5194/essd-17-5641-2025, https://doi.org/10.5194/essd-17-5641-2025, 2025
Short summary
Short summary
Two Uncrewed Surface Vehicles (USVs) collected observations of ocean/atmosphere pCO2 in 2022–2023 in the South Indian Ocean. The primary goal of the mission was to collect data within cyclonic and anticyclonic eddies during Austral Winter along the Polar Front. Unfortunate issues with the vehicles led to observations being collected in the spring and summer months and north of the Polar Front. Twelve eddies were sampled, but no meaningful relationship between pCO2 anomalies and eddies was found.
Ben A. Cala, Mariette Wolthers, Olivier Sulpis, Jonathan D. Sharp, and Matthew P. Humphreys
EGUsphere, https://doi.org/10.5194/egusphere-2025-5059, https://doi.org/10.5194/egusphere-2025-5059, 2025
Short summary
Short summary
Magnesium calcites are minerals produced by some marine organisms. Understanding how these minerals dissolve helps us to predict how the ocean stores carbon. We developed a new method to calculate the solubility of these minerals in seawater, using existing laboratory data and taking into account the effects of temperature, salinity and pressure. Applying this method globally, we found that magnesium calcites dissolve deeper than previously thought.
Larissa M. Dias and Brendan R. Carter
Geosci. Model Dev., 18, 7275–7295, https://doi.org/10.5194/gmd-18-7275-2025, https://doi.org/10.5194/gmd-18-7275-2025, 2025
Short summary
Short summary
The increasing availability of oceanographic physical and chemical data necessitates accompanying methods for optimizing use of these data. This project produced algorithms (PyESPERs) for estimating biogeochemical seawater properties in Python, a freely available coding language. These algorithms were based on empirical seawater property estimation routines (ESPERs), which were originally written in the proprietary MATLAB coding language and can be used in studies of marine carbonate chemistry.
Brandon M. Stephens, Montserrat Roca-Martí, Amy E. Maas, Vinícius J. Amaral, Samantha Clevenger, Shawnee Traylor, Claudia R. Benitez-Nelson, Philip W. Boyd, Ken O. Buesseler, Craig A. Carlson, Nicolas Cassar, Margaret Estapa, Andrea J. Fassbender, Yibin Huang, Phoebe J. Lam, Olivier Marchal, Susanne Menden-Deuer, Nicola L. Paul, Alyson E. Santoro, David A. Siegel, and David P. Nicholson
Biogeosciences, 22, 3301–3328, https://doi.org/10.5194/bg-22-3301-2025, https://doi.org/10.5194/bg-22-3301-2025, 2025
Short summary
Short summary
The ocean’s mesopelagic zone (MZ) plays a crucial role in the global carbon cycle. This study combines new and previously published measurements of organic carbon supply and demand collected in August 2018 in the MZ of the subarctic North Pacific Ocean. Supply was insufficient to meet demand in August, but supply entering into the MZ in the spring of 2018 could have met the August demand. Results suggest observations over seasonal timescales may help to close MZ carbon budgets.
Brendan R. Carter, Jörg Schwinger, Rolf Sonnerup, Andrea J. Fassbender, Jonathan D. Sharp, Larissa M. Dias, and Daniel E. Sandborn
Earth Syst. Sci. Data, 17, 3073–3088, https://doi.org/10.5194/essd-17-3073-2025, https://doi.org/10.5194/essd-17-3073-2025, 2025
Short summary
Short summary
We infer ocean gas exchange and circulation from ocean tracer measurements and use this to create code to estimate the amount of carbon dioxide dissolved in the ocean that is there due to human emissions of CO2 into the atmosphere. The code works across the ocean depths for the past, present, or future from information about the location, temperature, and salinity of the seawater. We produce a data product with estimates throughout the ocean throughout the last ~300 and the next ~500 years.
James Frech, Korak Saha, Paige D. Lavin, Huai-Min Zhang, James Reagan, and Brandon Fung
Wind Energ. Sci., 10, 1077–1099, https://doi.org/10.5194/wes-10-1077-2025, https://doi.org/10.5194/wes-10-1077-2025, 2025
Short summary
Short summary
A machine learning model is developed using lidar stations around US coasts to extrapolate wind speed profiles up to the hub heights of wind turbines from surface wind speeds. Independent validation shows that our model vastly outperforms traditional methods for vertical wind extrapolation. We produce a new long-term gridded dataset of wind speed profiles from 20 to 200 m at 0.25° and 6-hourly resolution from 1987 to the present by applying this model to the National Oceanic and Atmospheric Administration (NOAA)/National Centers for Environmental Information (NCEI) Blended Seawinds product.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Hongmei Li, Ingrid T. Luijkx, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Carla F. Berghoff, Henry C. Bittig, Laurent Bopp, Patricia Cadule, Katie Campbell, Matthew A. Chamberlain, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Thomas Colligan, Jeanne Decayeux, Laique M. Djeutchouang, Xinyu Dou, Carolina Duran Rojas, Kazutaka Enyo, Wiley Evans, Amanda R. Fay, Richard A. Feely, Daniel J. Ford, Adrianna Foster, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Jens Heinke, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Andrew R. Jacobson, Atul K. Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Zhe Jin, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Xin Lan, Siv K. Lauvset, Nathalie Lefèvre, Zhu Liu, Junjie Liu, Lei Ma, Shamil Maksyutov, Gregg Marland, Nicolas Mayot, Patrick C. McGuire, Nicolas Metzl, Natalie M. Monacci, Eric J. Morgan, Shin-Ichiro Nakaoka, Craig Neill, Yosuke Niwa, Tobias Nützel, Lea Olivier, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Zhangcai Qin, Laure Resplandy, Alizée Roobaert, Thais M. Rosan, Christian Rödenbeck, Jörg Schwinger, T. Luke Smallman, Stephen M. Smith, Reinel Sospedra-Alfonso, Tobias Steinhoff, Qing Sun, Adrienne J. Sutton, Roland Séférian, Shintaro Takao, Hiroaki Tatebe, Hanqin Tian, Bronte Tilbrook, Olivier Torres, Etienne Tourigny, Hiroyuki Tsujino, Francesco Tubiello, Guido van der Werf, Rik Wanninkhof, Xuhui Wang, Dongxu Yang, Xiaojuan Yang, Zhen Yu, Wenping Yuan, Xu Yue, Sönke Zaehle, Ning Zeng, and Jiye Zeng
Earth Syst. Sci. Data, 17, 965–1039, https://doi.org/10.5194/essd-17-965-2025, https://doi.org/10.5194/essd-17-965-2025, 2025
Short summary
Short summary
The Global Carbon Budget 2024 describes the methodology, main results, and datasets used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land ecosystems, and the ocean over the historical period (1750–2024). These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Mallory C. Ringham, Nathan Hirtle, Cody Shaw, Xi Lu, Julian Herndon, Brendan R. Carter, and Matthew D. Eisaman
Biogeosciences, 21, 3551–3570, https://doi.org/10.5194/bg-21-3551-2024, https://doi.org/10.5194/bg-21-3551-2024, 2024
Short summary
Short summary
Ocean alkalinity enhancement leverages the large surface area and carbon storage capacity of the oceans to store atmospheric CO2 as dissolved bicarbonate. We monitored CO2 uptake in seawater treated with NaOH to establish operational boundaries for carbon removal experiments. Results show that CO2 equilibration occurred on the order of weeks to months, was consistent with values expected from equilibration calculations, and was limited by mineral precipitation at high pH and CaCO3 saturation.
Li-Qing Jiang, Tim P. Boyer, Christopher R. Paver, Hyelim Yoo, James R. Reagan, Simone R. Alin, Leticia Barbero, Brendan R. Carter, Richard A. Feely, and Rik Wanninkhof
Earth Syst. Sci. Data, 16, 3383–3390, https://doi.org/10.5194/essd-16-3383-2024, https://doi.org/10.5194/essd-16-3383-2024, 2024
Short summary
Short summary
In this paper, we unveil a data product featuring ten coastal ocean acidification variables. These indicators are provided on 1°×1° spatial grids at 14 standardized depth levels, ranging from the surface to a depth of 500 m, along the North American ocean margins.
Thea H. Heimdal, Galen A. McKinley, Adrienne J. Sutton, Amanda R. Fay, and Lucas Gloege
Biogeosciences, 21, 2159–2176, https://doi.org/10.5194/bg-21-2159-2024, https://doi.org/10.5194/bg-21-2159-2024, 2024
Short summary
Short summary
Measurements of ocean carbon are limited in time and space. Machine learning algorithms are therefore used to reconstruct ocean carbon where observations do not exist. Improving these reconstructions is important in order to accurately estimate how much carbon the ocean absorbs from the atmosphere. In this study, we find that a small addition of observations from the Southern Ocean, obtained by autonomous sampling platforms, could significantly improve the reconstructions.
Siv K. Lauvset, Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Marta Álvarez, Kumiko Azetsu-Scott, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Mario Hoppema, Matthew P. Humphreys, Masao Ishii, Emil Jeansson, Akihiko Murata, Jens Daniel Müller, Fiz F. Pérez, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Adam Ulfsbo, Anton Velo, Ryan J. Woosley, and Robert M. Key
Earth Syst. Sci. Data, 16, 2047–2072, https://doi.org/10.5194/essd-16-2047-2024, https://doi.org/10.5194/essd-16-2047-2024, 2024
Short summary
Short summary
GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by the chemical analysis of water bottle samples from scientific cruises. GLODAPv2.2023 is the fifth update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality controlling, including systematic evaluation of measurement biases. This version contains data from 1108 hydrographic cruises covering the world's oceans from 1972 to 2021.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Ingrid T. Luijkx, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Peter Anthoni, Leticia Barbero, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Bertrand Decharme, Laurent Bopp, Ida Bagus Mandhara Brasika, Patricia Cadule, Matthew A. Chamberlain, Naveen Chandra, Thi-Tuyet-Trang Chau, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Xinyu Dou, Kazutaka Enyo, Wiley Evans, Stefanie Falk, Richard A. Feely, Liang Feng, Daniel J. Ford, Thomas Gasser, Josefine Ghattas, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Jens Heinke, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Andrew R. Jacobson, Atul Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Zhe Jin, Fortunat Joos, Etsushi Kato, Ralph F. Keeling, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Arne Körtzinger, Xin Lan, Nathalie Lefèvre, Hongmei Li, Junjie Liu, Zhiqiang Liu, Lei Ma, Greg Marland, Nicolas Mayot, Patrick C. McGuire, Galen A. McKinley, Gesa Meyer, Eric J. Morgan, David R. Munro, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin M. O'Brien, Are Olsen, Abdirahman M. Omar, Tsuneo Ono, Melf Paulsen, Denis Pierrot, Katie Pocock, Benjamin Poulter, Carter M. Powis, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Thais M. Rosan, Jörg Schwinger, Roland Séférian, T. Luke Smallman, Stephen M. Smith, Reinel Sospedra-Alfonso, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Guido R. van der Werf, Erik van Ooijen, Rik Wanninkhof, Michio Watanabe, Cathy Wimart-Rousseau, Dongxu Yang, Xiaojuan Yang, Wenping Yuan, Xu Yue, Sönke Zaehle, Jiye Zeng, and Bo Zheng
Earth Syst. Sci. Data, 15, 5301–5369, https://doi.org/10.5194/essd-15-5301-2023, https://doi.org/10.5194/essd-15-5301-2023, 2023
Short summary
Short summary
The Global Carbon Budget 2023 describes the methodology, main results, and data sets used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land ecosystems, and the ocean over the historical period (1750–2023). These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Katja Fennel, Matthew C. Long, Christopher Algar, Brendan Carter, David Keller, Arnaud Laurent, Jann Paul Mattern, Ruth Musgrave, Andreas Oschlies, Josiane Ostiguy, Jaime B. Palter, and Daniel B. Whitt
State Planet, 2-oae2023, 9, https://doi.org/10.5194/sp-2-oae2023-9-2023, https://doi.org/10.5194/sp-2-oae2023-9-2023, 2023
Short summary
Short summary
This paper describes biogeochemical models and modelling techniques for applications related to ocean alkalinity enhancement (OAE) research. Many of the most pressing OAE-related research questions cannot be addressed by observation alone but will require a combination of skilful models and observations. We present illustrative examples with references to further information; describe limitations, caveats, and future research needs; and provide practical recommendations.
Jonathan D. Sharp, Andrea J. Fassbender, Brendan R. Carter, Gregory C. Johnson, Cristina Schultz, and John P. Dunne
Earth Syst. Sci. Data, 15, 4481–4518, https://doi.org/10.5194/essd-15-4481-2023, https://doi.org/10.5194/essd-15-4481-2023, 2023
Short summary
Short summary
Dissolved oxygen content is a critical metric of ocean health. Recently, expanding fleets of autonomous platforms that measure oxygen in the ocean have produced a wealth of new data. We leverage machine learning to take advantage of this growing global dataset, producing a gridded data product of ocean interior dissolved oxygen at monthly resolution over nearly 2 decades. This work provides novel information for investigations of spatial, seasonal, and interannual variability in ocean oxygen.
Siv K. Lauvset, Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Simone Alin, Marta Álvarez, Kumiko Azetsu-Scott, Leticia Barbero, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Mario Hoppema, Matthew P. Humphreys, Masao Ishii, Emil Jeansson, Li-Qing Jiang, Steve D. Jones, Claire Lo Monaco, Akihiko Murata, Jens Daniel Müller, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Adam Ulfsbo, Anton Velo, Ryan J. Woosley, and Robert M. Key
Earth Syst. Sci. Data, 14, 5543–5572, https://doi.org/10.5194/essd-14-5543-2022, https://doi.org/10.5194/essd-14-5543-2022, 2022
Short summary
Short summary
GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by the chemical analysis of water bottle samples from scientific cruises. GLODAPv2.2022 is the fourth update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality controlling, including systematic evaluation of measurement biases. This version contains data from 1085 hydrographic cruises covering the world's oceans from 1972 to 2021.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Luke Gregor, Judith Hauck, Corinne Le Quéré, Ingrid T. Luijkx, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Ramdane Alkama, Almut Arneth, Vivek K. Arora, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Henry C. Bittig, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Wiley Evans, Stefanie Falk, Richard A. Feely, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Lucas Gloege, Giacomo Grassi, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Atul K. Jain, Annika Jersild, Koji Kadono, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Keith Lindsay, Junjie Liu, Zhu Liu, Gregg Marland, Nicolas Mayot, Matthew J. McGrath, Nicolas Metzl, Natalie M. Monacci, David R. Munro, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Naiqing Pan, Denis Pierrot, Katie Pocock, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Carmen Rodriguez, Thais M. Rosan, Jörg Schwinger, Roland Séférian, Jamie D. Shutler, Ingunn Skjelvan, Tobias Steinhoff, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Toste Tanhua, Pieter P. Tans, Xiangjun Tian, Hanqin Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Guido R. van der Werf, Anthony P. Walker, Rik Wanninkhof, Chris Whitehead, Anna Willstrand Wranne, Rebecca Wright, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, Jiye Zeng, and Bo Zheng
Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022, https://doi.org/10.5194/essd-14-4811-2022, 2022
Short summary
Short summary
The Global Carbon Budget 2022 describes the datasets and methodology used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, the land ecosystems, and the ocean. These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Pierre Friedlingstein, Matthew W. Jones, Michael O'Sullivan, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Corinne Le Quéré, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Rob B. Jackson, Simone R. Alin, Peter Anthoni, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Laurent Bopp, Thi Tuyet Trang Chau, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Kim I. Currie, Bertrand Decharme, Laique M. Djeutchouang, Xinyu Dou, Wiley Evans, Richard A. Feely, Liang Feng, Thomas Gasser, Dennis Gilfillan, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Ingrid T. Luijkx, Atul Jain, Steve D. Jones, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Arne Körtzinger, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Sebastian Lienert, Junjie Liu, Gregg Marland, Patrick C. McGuire, Joe R. Melton, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Tsuneo Ono, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Thais M. Rosan, Jörg Schwinger, Clemens Schwingshackl, Roland Séférian, Adrienne J. Sutton, Colm Sweeney, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Francesco Tubiello, Guido R. van der Werf, Nicolas Vuichard, Chisato Wada, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, and Jiye Zeng
Earth Syst. Sci. Data, 14, 1917–2005, https://doi.org/10.5194/essd-14-1917-2022, https://doi.org/10.5194/essd-14-1917-2022, 2022
Short summary
Short summary
The Global Carbon Budget 2021 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Chiho Sukigara, Ryuichiro Inoue, Kanako Sato, Yoshihisa Mino, Takeyoshi Nagai, Andrea J. Fassbender, Yuichiro Takeshita, Stuart Bishop, and Eitarou Oka
Biogeosciences Discuss., https://doi.org/10.5194/bg-2022-9, https://doi.org/10.5194/bg-2022-9, 2022
Manuscript not accepted for further review
Short summary
Short summary
To investigate the physical changes in the ocean from winter to spring and the corresponding biological activities, two automated floats were used to conduct observations in the western North Pacific from January to April 2018. During the observation, repeated storms passed and mixed the ocean surface layer. Afterwards, active biological activity was observed. Using data from the float, we observed the formation, decomposition, and settling of particulate organic matter.
Matthew P. Humphreys, Ernie R. Lewis, Jonathan D. Sharp, and Denis Pierrot
Geosci. Model Dev., 15, 15–43, https://doi.org/10.5194/gmd-15-15-2022, https://doi.org/10.5194/gmd-15-15-2022, 2022
Short summary
Short summary
The ocean helps to mitigate our impact on Earth's climate by absorbing about a quarter of the carbon dioxide (CO2) released by human activities each year. However, once absorbed, chemical reactions between CO2 and water reduce seawater pH (
ocean acidification), which may have adverse effects on marine ecosystems. Our Python package, PyCO2SYS, models the chemical reactions of CO2 in seawater, allowing us to quantify the corresponding changes in pH and related chemical properties.
Siv K. Lauvset, Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Marta Álvarez, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Steven van Heuven, Mario Hoppema, Masao Ishii, Emil Jeansson, Sara Jutterström, Steve D. Jones, Maren K. Karlsen, Claire Lo Monaco, Patrick Michaelis, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Anton Velo, Rik Wanninkhof, Ryan J. Woosley, and Robert M. Key
Earth Syst. Sci. Data, 13, 5565–5589, https://doi.org/10.5194/essd-13-5565-2021, https://doi.org/10.5194/essd-13-5565-2021, 2021
Short summary
Short summary
GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by the chemical analysis of water bottle samples from scientific cruises. GLODAPv2.2021 is the third update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality control, including systematic evaluation of measurement biases. This version contains data from 989 hydrographic cruises covering the world's oceans from 1972 to 2020.
Li-Qing Jiang, Richard A. Feely, Rik Wanninkhof, Dana Greeley, Leticia Barbero, Simone Alin, Brendan R. Carter, Denis Pierrot, Charles Featherstone, James Hooper, Chris Melrose, Natalie Monacci, Jonathan D. Sharp, Shawn Shellito, Yuan-Yuan Xu, Alex Kozyr, Robert H. Byrne, Wei-Jun Cai, Jessica Cross, Gregory C. Johnson, Burke Hales, Chris Langdon, Jeremy Mathis, Joe Salisbury, and David W. Townsend
Earth Syst. Sci. Data, 13, 2777–2799, https://doi.org/10.5194/essd-13-2777-2021, https://doi.org/10.5194/essd-13-2777-2021, 2021
Short summary
Short summary
Coastal ecosystems account for most of the economic activities related to commercial and recreational fisheries and aquaculture industries, supporting about 90 % of the global fisheries yield and 80 % of known species of marine fish. Despite the large potential risks from ocean acidification (OA), internally consistent water column OA data products in the coastal ocean still do not exist. This paper is the first time we report a high quality OA data product in North America's coastal waters.
Chiho Sukigara, Ryuichiro Inoue, Kanako Sato, Yoshihisa Mino, Takeyoshi Nagai, Andrea J. Fassbender, Yuichiro Takeshita, and Eitarou Oka
Biogeosciences Discuss., https://doi.org/10.5194/bg-2021-116, https://doi.org/10.5194/bg-2021-116, 2021
Manuscript not accepted for further review
Short summary
Short summary
We combined ship-borne water sampling with the use of two Argo floats equipped with biogeochemical sensors to determine the changes in primary productivity associated with the passage of storms and resultant disturbance in the subtropical western North Pacific. We found that the episodic influx of carbon to the surface facilitated by storms played a key role in promoting primary production. Particulate carbon transported to the twilight layer were not the major substrate for the respiration.
Cited articles
Bakker, D. C. E., Pfeil, B., Landa, C. S., Metzl, N., O'Brien, K. M., Olsen, A., Smith, K., Cosca, C., Harasawa, S., Jones, S. D., Nakaoka, S., Nojiri, Y., Schuster, U., Steinhoff, T., Sweeney, C., Takahashi, T., Tilbrook, B., Wada, C., Wanninkhof, R., Alin, S. R., Balestrini, C. F., Barbero, L., Bates, N. R., Bianchi, A. A., Bonou, F., Boutin, J., Bozec, Y., Burger, E. F., Cai, W.-J., Castle, R. D., Chen, L., Chierici, M., Currie, K., Evans, W., Featherstone, C., Feely, R. A., Fransson, A., Goyet, C., Greenwood, N., Gregor, L., Hankin, S., Hardman-Mountford, N. J., Harlay, J., Hauck, J., Hoppema, M., Humphreys, M. P., Hunt, C. W., Huss, B., Ibánhez, J. S. P., Johannessen, T., Keeling, R., Kitidis, V., Körtzinger, A., Kozyr, A., Krasakopoulou, E., Kuwata, A., Landschützer, P., Lauvset, S. K., Lefèvre, N., Lo Monaco, C., Manke, A., Mathis, J. T., Merlivat, L., Millero, F. J., Monteiro, P. M. S., Munro, D. R., Murata, A., Newberger, T., Omar, A. M., Ono, T., Paterson, K., Pearce, D., Pierrot, D., Robbins, L. L., Saito, S., Salisbury, J., Schlitzer, R., Schneider, B., Schweitzer, R., Sieger, R., Skjelvan, I., Sullivan, K. F., Sutherland, S. C., Sutton, A. J., Tadokoro, K., Telszewski, M., Tuma, M., van Heuven, S. M. A. C., Vandemark, D., Ward, B., Watson, A. J., and Xu, S.: A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT), Earth Syst. Sci. Data, 8, 383–413, https://doi.org/10.5194/essd-8-383-2016, 2016.
Becker, M., Olsen, A., Landschützer, P., Omar, A., Rehder, G., Rödenbeck, C., and Skjelvan, I.: The northern European shelf as an increasing net sink for CO2, Biogeosciences, 18, 1127–1147, https://doi.org/10.5194/bg-18-1127-2021, 2021.
Bourgeois, T., Orr, J. C., Resplandy, L., Terhaar, J., Ethé, C., Gehlen, M., and Bopp, L.: Coastal-ocean uptake of anthropogenic carbon, Biogeosciences, 13, 4167–4185, https://doi.org/10.5194/bg-13-4167-2016, 2016.
Breiman, L.: Bagging predictors, Mach. Learn. 24, 123–140, https://doi.org/10.1007/BF00058655, 1996.
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.
Bushinsky, S. M., Landschützer, P., Rödenbeck, C., Gray, A. R.,
Baker, D., Mazloff, M. R., Resplandy, L., Johnson, K. S., and Sarmiento, J.
L.: Reassessing Southern Ocean Air-Sea CO2 Flux Estimates With the
Addition of Biogeochemical Float Observations, Global Biogeochem. Cy.,
33, 1370–1388, https://doi.org/10.1029/2019GB006176, 2019.
Caldeira, K. and Wickett, M. E.: Anthropogenic carbon and ocean pH, Nature,
425, 365, https://doi.org/10.1038/425365a, 2003.
Chassignet, E. P., Hurlburt, H. E., Smedstad, O. M., Halliwell, G. R.,
Hogan, P. J., Wallcraft, A. J., Baraille, R., and Bleck, R.: The HYCOM (hybrid
coordinate ocean model) data assimilative system, J. Mar. Syst., 65,
60–83, https://doi.org/10.1016/j.jmarsys.2005.09.016, 2007.
Chau, T. T. T., Gehlen, M., and Chevallier, F.: A seamless ensemble-based reconstruction of surface ocean pCO2 and air–sea CO2 fluxes over the global coastal and open oceans, Biogeosciences, 19, 1087–1109, https://doi.org/10.5194/bg-19-1087-2022, 2022.
Checkley, D. M. and Barth, J. A.: Patterns and processes in the California
Current System, Prog. Oceanogr., 83, 49–64, https://doi.org/10.1016/j.pocean.2009.07.028, 2009.
Chen, S., Hu, C., Barnes, B. B., Wanninkhof, R., Cai, W. J., Barbero, L.,
and Pierrot, D.: A machine learning approach to estimate surface ocean
pCO2 from satellite measurements, Remote Sens. Environ., 228, 203–226,
https://doi.org/10.1016/j.rse.2019.04.019, 2019.
Ciais, P., Sabine, C., Bala, G., Bopp, L., Brovkin, V., Canadell, J.,
Chhabra, A., DeFries, R., Galloway, J., Heimann, M., and Jones, C.: Carbon and
other biogeochemical cycles, in: Climate change 2013: the physical science
basis, Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, 465–570, Cambridge
University Press, 465–570, https://doi.org/10.1017/CBO9781107415324.015, 2014.
Dai, M.: What are the exchanges of carbon between the land-ocean-ice
continuum, in: Integrated Ocean Carbon Research: A Summary of Ocean Carbon
Research, and Vision of Coordinated Ocean Carbon Research and Observations
for the Next Decade, edited by: Wanninkhof, R., Sabine, C., and Aricò, S., IOC
Technical Series, 158, Paris, UNESCO, 20, https://doi.org/10.25607/h0gj-pq41, 2021.
Denvil-Sommer, A., Gehlen, M., Vrac, M., and Mejia, C.: LSCE-FFNN-v1: a two-step neural network model for the reconstruction of surface ocean pCO2 over the global ocean, Geosci. Model Dev., 12, 2091–2105, https://doi.org/10.5194/gmd-12-2091-2019, 2019.
Deutsch, C., Frenzel, H., McWilliams, J. C., Renault, L., Kessouri, F.,
Howard, E., Liang, J. H., Bianchi, D., and Yang, S.: Biogeochemical
variability in the California Current system, Prog. Oceanogr., 102565,
https://doi.org/10.1016/j.pocean.2021.102565, 2021.
Dickson, A. G., Sabine, C. L., and Christian, J. R. (Eds.): Guide to Best Practices for Ocean CO2 Measurements. North Pacific Marine Science Organization, PICES Special Publication 3, Sidney, B.C., Canada, 2007.
Djeutchouang, L. M., Chang, N., Gregor, L., Vichi, M., and Monteiro, P. M. S.: The sensitivity of pCO2 reconstructions in the Southern Ocean to sampling scales: a semi-idealized model sampling and reconstruction approach, Biogeosciences Discuss. [preprint], https://doi.org/10.5194/bg-2021-344, in review, 2022.
Dlugokencky, E. and Tans, P.: Trends in atmospheric carbon dioxide, National
Oceanic & Atmospheric Administration, Earth System Research Laboratory
(NOAA/ESRL), http://www.esrl.noaa.gov/gmd/ccgg/trends/global.html (last access: 17 August 2021), 2019.
Dlugokencky, E. J., Mund, J. W., Crotwell, A. M., Crotwell, M. J., and
Thoning, K. W.: Atmospheric carbon dioxide dry air mole fractions from the
NOAA ESRL carbon cycle cooperative global air sampling network, 1968–2018,
Version: 2019–2007, https://doi.org/10.15138/wkgj-f215, 2020.
Doney, S. C., Fabry, V. J., Feely, R. A., and Kleypas, J. A.: Ocean
Acidification: The other CO2 problem, Annu. Rev. Mar. Sci., 1, 169–192,
https://doi.org/10.1146/annurev.marine.010908.163834, 2009.
Doney, S. C., Busch, D. S., Cooley, S. R., and Kroeker, K. J.: The impacts of
ocean acidification on marine ecosystems and reliant human communities, Annu.
Rev. Environ. Res., 45, 83–112, https://doi.org/10.1146/annurev-environ-012320-083019, 2020.
Donlon, C. J., Minnett, P. J., Gentemann, C., Nightingale, T. J., Barton, I.
J., Ward, B., and Murray, M. J.: Toward improved validation of satellite sea
surface skin temperature measurements for climate research, J. Climate, 15,
353–369, https://doi.org/10.1175/1520-0442(2002)015<0353:TIVOSS>2.0.CO;2, 2002.
Evans, W., Hales, B., and Strutton, P. G.: Seasonal cycle of surface ocean
pCO2 on the Oregon shelf, J. Geophys. Res.-Oceans, 116, C05012, https://doi.org/10.1029/2010JC006625, 2011.
Evans, W., Lebon, G. T., Harrington, C. D., Takeshita, Y., and Bidlack, A.: Marine CO2 system variability along the northeast Pacific Inside Passage determined from an Alaskan ferry, Biogeosciences, 19, 1277–1301, https://doi.org/10.5194/bg-19-1277-2022, 2022.
Fabry, V. J., Seibel, B. A., Feely, R. A., and Orr, J. C.: Impacts of ocean
acidification on marine fauna and ecosystem processes, ICES J. Mar. Sci.,
65, 414–432, https://doi.org/10.1093/icesjms/fsn048, 2008.
Fassbender, A. J., Sabine, C. L., Feely, R. A., Langdon, C., and Mordy, C.
W.: Inorganic carbon dynamics during northern California coastal upwelling,
Cont. Shelf Res., 31, 1180–1192, https://doi.org/10.1016/j.csr.2011.04.006, 2011.
Fassbender, A. J., Alin, S. R., Feely, R. A., Sutton, A. J., Newton, J. A., Krembs, C., Bos, J., Keyzers, M., Devol, A., Ruef, W., and Pelletier, G.: Seasonal carbonate chemistry variability in marine surface waters of the US Pacific Northwest, Earth Syst. Sci. Data, 10, 1367–1401, https://doi.org/10.5194/essd-10-1367-2018, 2018.
Fay, A. R., Gregor, L., Landschützer, P., McKinley, G. A., Gruber, N., Gehlen, M., Iida, Y., Laruelle, G. G., Rödenbeck, C., Roobaert, A., and Zeng, J.: SeaFlux: harmonization of air–sea CO2 fluxes from surface pCO2 data products using a standardized approach, Earth Syst. Sci. Data, 13, 4693–4710, https://doi.org/10.5194/essd-13-4693-2021, 2021.
Feely, R. A., Sabine, C. L., Hernandez-Ayon, J. M., Ianson, D., and Hales,
B.: Evidence for upwelling of corrosive “acidified” water onto the
continental shelf, Science, 320, 1490–1492, https://doi.org/10.1126/science.1155676, 2008.
Fiechter, J., Curchitser, E. N., Edwards, C. A., Chai, F., Goebel, N. L.,
and Chavez, F. P.: Air-sea CO2 fluxes in the California Current: Impacts
of model resolution and coastal topography, Global Biogeochem. Cy., 28,
371–385, https://doi.org/10.1002/2013GB004683, 2014.
Friederich, G. M., Walz, P. M., Burczynski, M. G., and Chavez, F. P.:
Inorganic carbon in the central California upwelling system during the
1997–1999 El Niño–La Niña event, Prog. Oceanogr., 54, 185–203,
https://doi.org/10.1016/S0079-6611(02)00049-6, 2002.
Gloege, L., McKinley, G. A., Landschützer, P., Fay, A. R.,
Frölicher, T. L., Fyfe, J. C., Ilyina, T., Jones, S., Lovenduski, N. S.,
Rodgers, K. B., Schlunegger, S., and Takano, Y.: Quantifying errors in
observationally based estimates of ocean carbon sink variability, Global
Biogeochem. Cy., 35, e2020GB006788, https://doi.org/10.1029/2020GB006788, 2021.
Goddijn-Murphy, L. M., Woolf, D. K., Land, P. E., Shutler, J. D., and Donlon, C.: The OceanFlux Greenhouse Gases methodology for deriving a sea surface climatology of CO2 fugacity in support of air–sea gas flux studies, Ocean Sci., 11, 519–541, https://doi.org/10.5194/os-11-519-2015, 2015.
Greene, C. A., Thirumalai, K., Kearney, K. A., Delgado, J. M., Schwanghart,
W., Wolfenbarger, N. S., Thyng, K. M., Gwyther, D. E., Gardner, A. S., and
Blankenship, D. D.: The Climate Data Toolbox for MATLAB, Geochem. Geophy.
Geosy., 20, 3774–3781, https://doi.org/10.1029/2019GC008392,
2019.
Gregor, L. and Fay, A.: SeaFlux: harmonised sea-air CO2 fluxes from
surface pCO2 data products using a standardised approach (2021.04.03), Zenodo [data set], https://doi.org/10.5281/zenodo.5148795,
2021.
Gregor, L., Kok, S., and Monteiro, P. M. S.: Empirical methods for the estimation of Southern Ocean CO2: support vector and random forest regression, Biogeosciences, 14, 5551–5569, https://doi.org/10.5194/bg-14-5551-2017, 2017.
Gregor, L., Kok, S., and Monteiro, P. M. S.: Interannual drivers of the seasonal cycle of CO2 in the Southern Ocean, Biogeosciences, 15, 2361–2378, https://doi.org/10.5194/bg-15-2361-2018, 2018.
Gregor, L., Lebehot, A. D., Kok, S., and Scheel Monteiro, P. M.: A comparative assessment of the uncertainties of global surface ocean CO2 estimates using a machine-learning ensemble (CSIR-ML6 version 2019a) – have we hit the wall?, Geosci. Model Dev., 12, 5113–5136, https://doi.org/10.5194/gmd-12-5113-2019, 2019.
Gruber, N., Hauri, C., Lachkar, Z., Loher, D., Frolicher, T. L., and
Plattner, G.-K.: Rapid Progression of Ocean Acidification in the California
Current System, Science, 337, 220–223, https://doi.org/10.1126/science.1216773, 2012.
Hales, B., Takahashi, T., and Bandstra, L.: Atmospheric CO2 uptake by a
coastal upwelling system, Global Biogeochem. Cy., 19, 1–11, https://doi.org/10.1029/2004GB002295, 2005.
Hales, B., Strutton, P. G., Saraceno, M., Letelier, R., Takahashi, T.,
Feely, R., Sabine, C., and Chavez, F.: Satellite-based prediction of
pCO2 in coastal waters of the eastern North Pacific, Prog. Oceanogr.,
103, 1–15, https://doi.org/10.1016/j.pocean.2012.03.001, 2012.
Hastie, T., Tibshirani, R., and Friedman, J. H.: The elements of statistical learning: data mining, inference, and prediction, 2nd Edn., Springer, New York, NY, https://doi.org/10.1007/978-0-387-84858-7, 2009.
Hauck, J., Zeising, M., Le Quéré, C., Gruber, N., Bakker, D. C. E.,
Bopp, L., Chau, T. T. T., Gürses, Ö., Ilyina, T., Landschützer,
P., Lenton, A., Resplandy, L., Rödenbeck, C., Schwinger, J., and
Séférian, R.: Consistency and Challenges in the Ocean Carbon Sink
Estimate for the Global Carbon Budget, Front. Mar. Sci., 7, 1–22,
https://doi.org/10.3389/fmars.2020.571720, 2020.
Hauri, C., Gruber, N., Vogt, M., Doney, S. C., Feely, R. A., Lachkar, Z., Leinweber, A., McDonnell, A. M. P., Munnich, M., and Plattner, G.-K.: Spatiotemporal variability and long-term trends of ocean acidification in the California Current System, Biogeosciences, 10, 193–216, https://doi.org/10.5194/bg-10-193-2013, 2013.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková,
M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay,
P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J. N.: The ERA5 global
reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hickey, B. M. and Banas, N. S.: Why is the northern end of the California
Current System so productive?, Oceanography, 21, 90–107, https://doi.org/10.5670/oceanog.2008.07, 2008.
Ho, D. T. and Schanze, J. J. Precipitation-Induced Reduction in Surface
Ocean pCO2: Observations From the Eastern Tropical Pacific Ocean,
Geophys. Res. Lett., 47, e2020GL088252, https://doi.org/10.1029/2020GL088252, 2020.
Huang, B., Liu, C., Banzon, V., Freeman, E., Graham, G., Hankins, B., Smith, T.,
and Zhang, H.-M.: Improvements of the Daily Optimum Interpolation Sea Surface
Temperature (DOISST) Version 2.1, J. Climate, 34, 2923–2939, https://doi.org/10.1175/JCLI-D-20-0166.1, 2021.
Huyer, A.: Coastal upwelling in the California Current system, Prog.
Oceanogr., 12, 259–284, https://doi.org/10.1016/0079-6611(83)90010-1, 1983.
Ianson, D., Allen, S. E., Harris, S. L., Orians, K. J., Varela, D. E., and
Wong, C. S.: The inorganic carbon system in the coastal upwelling region west
of Vancouver Island, Canada, Deep-Sea Res. Pt. I, 50, 1023–1042, https://doi.org/10.1016/S0967-0637(03)00114-6, 2003.
Iida, Y., Kojima, A., Takatani, Y., Nakano, T., Sugimoto, H., Midorikawa,
T., and Ishii, M.: Trends in pCO2 and sea–air CO2 flux over the
global open oceans for the last two decades, J. Oceanogr., 71, 637–661,
https://doi.org/10.1007/s10872-015-0306-4, 2015.
Ishii, M., Feely, R. A., Rodgers, K. B., Park, G.-H., Wanninkhof, R., Sasano, D., Sugimoto, H., Cosca, C. E., Nakaoka, S., Telszewski, M., Nojiri, Y., Mikaloff Fletcher, S. E., Niwa, Y., Patra, P. K., Valsala, V., Nakano, H., Lima, I., Doney, S. C., Buitenhuis, E. T., Aumont, O., Dunne, J. P., Lenton, A., and Takahashi, T.: Air–sea CO2 flux in the Pacific Ocean for the period 1990–2009, Biogeosciences, 11, 709–734, https://doi.org/10.5194/bg-11-709-2014, 2014.
Jones, S. D., Le Quéré, C., Rödenbeck, C., Manning, A. C., and
Olsen, A.: A statistical gap-filling method to interpolate global monthly
surface ocean carbon dioxide data, J. Adv. Model. Earth Sy., 7, 1554–1575,
https://doi.org/10.1002/2014MS000416, 2015.
Landschützer, P., Gruber, N., Bakker, D. C. E., Schuster, U., Nakaoka, S., Payne, M. R., Sasse, T. P., and Zeng, J.: A neural network-based estimate of the seasonal to inter-annual variability of the Atlantic Ocean carbon sink, Biogeosciences, 10, 7793–7815, https://doi.org/10.5194/bg-10-7793-2013, 2013.
Landschützer, P., Gruber, N., Bakker, D. C. E., and Schuster, U.: Recent
variability of the global ocean carbon sink, Global Biogeochem. Cy., 28,
927–949, https://doi.org/10.1002/2014GB004853, 2014.
Landschützer, P., Gruber, N., Haumann, F. A., Rödenbeck, C.,
Bakker, D. C. E., van Heuven, S., Hoppema, M., Metzl, N., Sweeney, C.,
Takahashi, T., Tilbrook, B., and Wanninkhof, R.: The reinvigoration of the
Southern Ocean carbon sink, Science, 349, 1221–1224, https://doi.org/10.1126/science.aab2620, 2015.
Landschützer, P., Gruber, N., and Bakker, D. C. E.: Decadal variations
and trends of the global ocean carbon sink, Global Biogeochem. Cy.,
30, 1396–1417, https://doi.org/10.1002/2015GB005359, 2016.
Landschützer, P., Gruber, N., Bakker, D. C. E., Stemmler, I., and Six,
K. D.: Strengthening seasonal marine CO2 variations due to increasing
atmospheric CO2, Nat. Clim. Change, 8, 146–150, https://doi.org/10.1038/s41558-017-0057-x, 2018.
Landschützer, P., Gruber, N., and Bakker, D. C. E.: An observation-based
global monthly gridded sea surface pCO2 product from 1982 onward and its
monthly climatology (NCEI Accession 0160558), Version 5.5, NOAA National
Centers for Environmental Information [data set], https://doi.org/10.7289/V5Z899N6, 2020a.
Landschützer, P., Laruelle, G., Roobaert, A., Regnier, P.: A combined
global ocean pCO2 climatology combining open ocean and coastal areas
(NCEI Accession 0209633), NOAA National Centers for Environmental
Information [data set], https://doi.org/10.25921/qb25-f418,
2020b.
Landschützer, P., Laruelle, G. G., Roobaert, A., and Regnier, P.: A uniform pCO2 climatology combining open and coastal oceans, Earth Syst. Sci. Data, 12, 2537–2553, https://doi.org/10.5194/essd-12-2537-2020, 2020c.
Laruelle, G. G., Dürr, H. H., Slomp, C. P., and Borges, A. V.: Evaluation
of sinks and sources of CO2 in the global coastal ocean using a
spatially-explicit typology of estuaries and continental shelves. Geophys.
Res. Lett., 37, L15607, https://doi.org/10.1029/2010GL043691,
2010.
Laruelle, G. G., Lauerwald, R., Pfeil, B., and Regnier, P.: Regionalized
global budget of the CO2 exchange at the air-water interface in
continental shelf seas, Global Biogeochem. Cy., 28, 1199–1214,
https://doi.org/10.1111/1462-2920.13280, 2014.
Laruelle, G. G., Landschützer, P., Gruber, N., Tison, J.-L., Delille, B., and Regnier, P.: Global high-resolution monthly pCO2 climatology for the coastal ocean derived from neural network interpolation, Biogeosciences, 14, 4545–4561, https://doi.org/10.5194/bg-14-4545-2017, 2017.
Laruelle, G. G., Cai, W. J., Hu, X., Gruber, N., Mackenzie, F. T., and
Regnier, P.: Continental shelves as a variable but increasing global sink for
atmospheric carbon dioxide, Nat. Commun., 9, 1–11, https://doi.org/10.1038/s41467-017-02738-z, 2018.
Lauvset, S., Currie, K., Metzl, N., Nakaoka, S. I., Bakker, D., Sullivan,
K., Sutton, A., O'Brien, K., and Olsen, A.: SOCAT Quality Control Cookbook:
for SOCAT version 7, SOCAT, https://doi.org/10.25607/OBP-1665, 2018.
Lebehot, A. D., Halloran, P. R., Watson, A. J., McNeall, D., Ford, D. A.,
Landschützer, P., Lauvset, S. K., and Schuster, U.: Reconciling
Observation and Model Trends in North Atlantic Surface CO2, Global
Biogeochem. Cy., 33, 1204–1222 https://doi.org/10.1029/2019GB006186, 2019.
Majkut, J. D., Sarmiento, J. L., and Rodgers, K. B.: A growing oceanic
carbon uptake: Results from an inversion study of surface pCO2 data,
Global Biochem. Cy., 28, 335–351, https://doi.org/10.1002/2013GB004585, 2014.
Meinig, C., Burger, E. F., Cohen, N., Cokelet, E. D., Cronin, M. F., Cross, J. N., de Halleux, S., Jenkins, R., Jessup, A. T., Mordy, C. W., Lawrence-Slavas, N., Sutton, A. J., Zhang, D., and Zhang, C.: Public–private partnerships to advance regional ocean-observing capabilities: a saildrone and NOAA-PMEL case study and future considerations to expand to global scale observing, Front. Mar. Sci., 13, 448, https://doi.org/10.3389/fmars.2019.00448, 2015.
Menemenlis, D., Fukumori, I., and Lee, T.: Using Green's functions to
calibrate an ocean general circulation model, Mon. Weather Rev., 133,
1224–1240, https://doi.org/10.1175/MWR2912.1, 2005.
Menemenlis, D., Campin, J. M., Heimbach, P., Hill, C., Lee, T., Nguyen, A.,
Schodlok, M., and Zhang, H.: ECCO2: High resolution global ocean and sea ice
data synthesis, Mercator Ocean Quarterly Newsletter, 31, 13–21,
2008.
Monteiro, P. M. S., Gregor, L., Lévy, M., Maenner, S., Sabine, C. L.,
and Swart, S.: Intraseasonal variability linked to sampling alias in air-sea
CO2 fluxes in the Southern Ocean, Geophys. Res. Lett., 42, 8507–8514,
https://doi.org/10.1002/2015GL066009, 2015.
Nakaoka, S., Telszewski, M., Nojiri, Y., Yasunaka, S., Miyazaki, C., Mukai, H., and Usui, N.: Estimating temporal and spatial variation of ocean surface pCO2 in the North Pacific using a self-organizing map neural network technique, Biogeosciences, 10, 6093–6106, https://doi.org/10.5194/bg-10-6093-2013, 2013.
Orr, J. C., Fabry, V. J., Aumont, O., Bopp, L., Doney, S. C., Feely, R. A.,
Gnanadesikan, A., Gruber, N., Ishida, A., Joos, F., Key, R. M., Lindsay, K.,
Maier-Reimer, E., Matear, R., Monfray, P., Mouchet, A., Najjar, R. G.,
Plattner, G. K., Rodgers, K. B., Sabine, C. L., Sarmiento, J. L., Schlitzer,
R., Slater, R. D., Totterdell, I. J., Weirig, M.-F., Yamanaka, Y., and Yool,
A.: Anthropogenic ocean acidification over the twenty-first century and its
impact on calcifying organisms, Nature, 437, 681–686, https://doi.org/10.1038/nature04095, 2005.
Pfeil, B., Olsen, A., Bakker, D. C. E., Hankin, S., Koyuk, H., Kozyr, A., Malczyk, J., Manke, A., Metzl, N., Sabine, C. L., Akl, J., Alin, S. R., Bates, N., Bellerby, R. G. J., Borges, A., Boutin, J., Brown, P. J., Cai, W.-J., Chavez, F. P., Chen, A., Cosca, C., Fassbender, A. J., Feely, R. A., González-Dávila, M., Goyet, C., Hales, B., Hardman-Mountford, N., Heinze, C., Hood, M., Hoppema, M., Hunt, C. W., Hydes, D., Ishii, M., Johannessen, T., Jones, S. D., Key, R. M., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefèvre, N., Lenton, A., Lourantou, A., Merlivat, L., Midorikawa, T., Mintrop, L., Miyazaki, C., Murata, A., Nakadate, A., Nakano, Y., Nakaoka, S., Nojiri, Y., Omar, A. M., Padin, X. A., Park, G.-H., Paterson, K., Perez, F. F., Pierrot, D., Poisson, A., Ríos, A. F., Santana-Casiano, J. M., Salisbury, J., Sarma, V. V. S. S., Schlitzer, R., Schneider, B., Schuster, U., Sieger, R., Skjelvan, I., Steinhoff, T., Suzuki, T., Takahashi, T., Tedesco, K., Telszewski, M., Thomas, H., Tilbrook, B., Tjiputra, J., Vandemark, D., Veness, T., Wanninkhof, R., Watson, A. J., Weiss, R., Wong, C. S., and Yoshikawa-Inoue, H.: A uniform, quality controlled Surface Ocean CO2 Atlas (SOCAT), Earth Syst. Sci. Data, 5, 125–143, https://doi.org/10.5194/essd-5-125-2013, 2013.
Pierrot, D., Neill, C., Sullivan, K., Castle, R., Wanninkhof, R., Lüger, H., Johannessen, T., Olsen, A., Feely, R. A., and Cosca, C. E.: Recommendations for autonomous underway pCO2 measuring systems and data-reduction routines, Deep-Sea Res. II, 56, 512–522, https://doi.org/10.1016/j.dsr2.2008.12.005, 2009.
Pörtner, H. O.: Ecosystem effects of ocean acidification in times of
ocean warming: a physiologist's view, Mar. Ecol. Prog. Ser., 373, 203–217,
https://doi.org/10.3354/meps07768, 2008.
Reynolds, R. W., Smith, T. M., Liu, C., Chelton, D. B., Casey, K. S., and
Schlax, M. G.: Daily high-resolution-blended analyses for sea surface temperature,
J. Climate, 20, 5473–5496, https://doi.org/10.1175/2007JCLI1824.1, 2007.
Ritter, R., Landschützer, P., Gruber, N., Fay, A. R., Iida, Y., Jones,
S., and Zeng, J.: Observation-Based Trends of the Southern Ocean Carbon Sink,
Geophys. Res. Lett., 2, 339–348, https://doi.org/10.1002/2017GL074837, 2017.
Robertson, J. E. and Watson, A. J.: Thermal skin effect of the surface ocean
and its implications for CO2 uptake, Nature, 358, 738–740, https://doi.org/10.1038/358738a0, 1992.
Rödenbeck, C., Keeling, R. F., Bakker, D. C. E., Metzl, N., Olsen, A., Sabine, C., and Heimann, M.: Global surface-ocean pCO2 and sea–air CO2 flux variability from an observation-driven ocean mixed-layer scheme, Ocean Sci., 9, 193–216, https://doi.org/10.5194/os-9-193-2013, 2013.
Rödenbeck, C., Bakker, D. C. E., Metzl, N., Olsen, A., Sabine, C., Cassar, N., Reum, F., Keeling, R. F., and Heimann, M.: Interannual sea–air CO2 flux variability from an observation-driven ocean mixed-layer scheme, Biogeosciences, 11, 4599–4613, https://doi.org/10.5194/bg-11-4599-2014, 2014.
Rödenbeck, C., Bakker, D. C. E., Gruber, N., Iida, Y., Jacobson, A. R., Jones, S., Landschützer, P., Metzl, N., Nakaoka, S., Olsen, A., Park, G.-H., Peylin, P., Rodgers, K. B., Sasse, T. P., Schuster, U., Shutler, J. D., Valsala, V., Wanninkhof, R., and Zeng, J.: Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean pCO2 Mapping intercomparison (SOCOM), Biogeosciences, 12, 7251–7278, https://doi.org/10.5194/bg-12-7251-2015, 2015.
Sabine, C. L., Hankin, S., Koyuk, H., Bakker, D. C. E., Pfeil, B., Olsen, A., Metzl, N., Kozyr, A., Fassbender, A., Manke, A., Malczyk, J., Akl, J., Alin, S. R., Bellerby, R. G. J., Borges, A., Boutin, J., Brown, P. J., Cai, W.-J., Chavez, F. P., Chen, A., Cosca, C., Feely, R. A., González-Dávila, M., Goyet, C., Hardman-Mountford, N., Heinze, C., Hoppema, M., Hunt, C. W., Hydes, D., Ishii, M., Johannessen, T., Key, R. M., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefèvre, N., Lenton, A., Lourantou, A., Merlivat, L., Midorikawa, T., Mintrop, L., Miyazaki, C., Murata, A., Nakadate, A., Nakano, Y., Nakaoka, S., Nojiri, Y., Omar, A. M., Padin, X. A., Park, G.-H., Paterson, K., Perez, F. F., Pierrot, D., Poisson, A., Ríos, A. F., Salisbury, J., Santana-Casiano, J. M., Sarma, V. V. S. S., Schlitzer, R., Schneider, B., Schuster, U., Sieger, R., Skjelvan, I., Steinhoff, T., Suzuki, T., Takahashi, T., Tedesco, K., Telszewski, M., Thomas, H., Tilbrook, B., Vandemark, D., Veness, T., Watson, A. J., Weiss, R., Wong, C. S., and Yoshikawa-Inoue, H.: Surface Ocean CO2 Atlas (SOCAT) gridded data products, Earth Syst. Sci. Data, 5, 145–153, https://doi.org/10.5194/essd-5-145-2013, 2013.
Schuster, U., McKinley, G. A., Bates, N., Chevallier, F., Doney, S. C., Fay, A. R., González-Dávila, M., Gruber, N., Jones, S., Krijnen, J., Landschützer, P., Lefèvre, N., Manizza, M., Mathis, J., Metzl, N., Olsen, A., Rios, A. F., Rödenbeck, C., Santana-Casiano, J. M., Takahashi, T., Wanninkhof, R., and Watson, A. J.: An assessment of the Atlantic and Arctic sea–air CO2 fluxes, 1990–2009, Biogeosciences, 10, 607–627, https://doi.org/10.5194/bg-10-607-2013, 2013.
Sharp, J. D.: RFR-CCS Code (v1.0), Zenodo [code], https://doi.org/10.5281/zenodo.6484875, 2022.
Sharp, J. D., Fassbender, A. J., Carter, B. R., Lavin, P. D., and Sutton, A. J.: RFR-CCS: A monthly surface pCO2 product for the California Current Large Marine Ecosystem (v1.1), Zenodo [data set], https://doi.org/10.5281/zenodo.5523389, 2022.
Shutler, J. D., Land, P. E., Piolle, J. F., Woolf, D. K., Goddijn-Murphy,
L., Paul, F., Girard-Ardhuin, F., Chapron, B., and Donlon, C. J.: FluxEngine:
a flexible processing system for calculating atmosphere–ocean carbon
dioxide gas fluxes and climatologies, J. Atmos. Ocean. Tech., 33,
741–756, https://doi.org/10.1175/JTECH-D-14-00204.1, 2016.
Sutton, A. J., Feely, R. A., Maenner-Jones, S., Musielwicz, S., Osborne, J., Dietrich, C., Monacci, N., Cross, J., Bott, R., Kozyr, A., Andersson, A. J., Bates, N. R., Cai, W.-J., Cronin, M. F., De Carlo, E. H., Hales, B., Howden, S. D., Lee, C. M., Manzello, D. P., McPhaden, M. J., Meléndez, M., Mickett, J. B., Newton, J. A., Noakes, S. E., Noh, J. H., Olafsdottir, S. R., Salisbury, J. E., Send, U., Trull, T. W., Vandemark, D. C., and Weller, R. A.: Autonomous seawater pCO2 and pH time series from 40 surface buoys and the emergence of anthropogenic trends, Earth Syst. Sci. Data, 11, 421–439, https://doi.org/10.5194/essd-11-421-2019, 2019.
Sutton, A. J., Williams, N. L., and Tilbrook, B.: Constraining Southern Ocean
CO2 Flux Uncertainty Using Uncrewed Surface Vehicle Observations,
Geophys. Res. Lett., 48, e2020GL091748, https://doi.org/10.1029/2020GL091748,
2021.
Takahashi, T., Olafsson, J., Goddard, J. G., Chipman, D. W., and Sutherland,
S. C.: Seasonal variation of CO2 and nutrients in the high-latitude
surface oceans: A comparative study, Global Biogeochem. Cy., 7, 843–878,
https://doi.org/10.1029/93GB02263, 1993.
Takahashi, T., Sutherland, S. C., Sweeney, C., Poisson, A., Metzl, N.,
Tilbrook, B., Bates, N., Wanninkhof, R., Feely, R. A., Sabine, C., Olafsson,
J., and Nojiri, Y.: Global sea-air CO2 flux based on climatological
surface ocean pCO2, and seasonal biological and temperature effects,
Deep-Sea Res. Pt. II, 49, 1601–1622, https://doi.org/10.1016/S0967-0645(02)00003-6, 2002.
Takahashi, T., Sutherland, S. C., Wanninkhof, R., Sweeney, C., Feely, R.
A., Chipman, D. W., Hales, B., Friederich, G., Chavez, F., Sabine, C.,
Watson, A., Bakker, D. C. E., Schuster, U., Metzl, N., Yoshikawa-Inoue, H.,
Ishii, M., Midorikawa, T., Nojiri, Y., Kortzinger, A., Steinhoff, T.,
Hoppema, M., Olafsson, J., Arnarson, T. S., Tillbrook, B., Johannessen, T.,
Olsen, A., Bellerby, R., Wong, C. S., Delille, B., Bates, N. R., and de
Baar, H. J. W.: Climatological mean and decadal change in surface ocean
pCO2 and net sea-air CO2 flux over the global oceans, Deep-Sea Res.
Pt. II, 56, 554–577, https://doi.org/10.1016/j.dsr2.2008.12.009, 2009.
Tortell, P. D., Merzouk, A., Ianson, D., Pawlowicz, R., and Yelland, D. R.:
Influence of regional climate forcing on surface water pCO2, ΔO2/Ar and dimethylsulfide (DMS) along the southern British Columbia
coast, Cont. Shelf Res., 47, 119–132, https://doi.org/10.1016/j.csr.2012.07.007, 2012.
Turi, G., Lachkar, Z., and Gruber, N.: Spatiotemporal variability and drivers of pCO2 and air–sea CO2 fluxes in the California Current System: an eddy-resolving modeling study, Biogeosciences, 11, 671–690, https://doi.org/10.5194/bg-11-671-2014, 2014.
Valsala, K. V. and Maksyutov, S.: Simulation and assimilation of global
ocean pCO2 and air-sea CO2 fluxes using ship observations of
surface ocean pCO2 in a simplified Biogeochemical offline model, Tellus,
62B, 821–840, https://doi.org/10.1111/j.1600-0889.2010.00495.x, 2010.
Van Geen, A., Takesue, R. K., Goddard, J., Takahashi, T., Barth, J. A., and
Smith, R. L.: Carbon and nutrient dynamics during coastal upwelling off Cape
Blanco, Oregon, Deep-Sea Res. Pt. II, 47, 975–1002, https://doi.org/10.1016/S0967-0645(99)00133-2, 2000.
Verdy, A. and Mazloff, M. R.: A data assimilating model for estimating
Southern Ocean biogeochemistry, J. Geophys. Res.-Oceans, 122, 6968–6988,
https://doi.org/10.1002/2016JC012650, 2017.
von Schuckmann, K., Cheng, L., Palmer, M. D., Hansen, J., Tassone, C., Aich, V., Adusumilli, S., Beltrami, H., Boyer, T., Cuesta-Valero, F. J., Desbruyères, D., Domingues, C., García-García, A., Gentine, P., Gilson, J., Gorfer, M., Haimberger, L., Ishii, M., Johnson, G. C., Killick, R., King, B. A., Kirchengast, G., Kolodziejczyk, N., Lyman, J., Marzeion, B., Mayer, M., Monier, M., Monselesan, D. P., Purkey, S., Roemmich, D., Schweiger, A., Seneviratne, S. I., Shepherd, A., Slater, D. A., Steiner, A. K., Straneo, F., Timmermans, M.-L., and Wijffels, S. E.: Heat stored in the Earth system: where does the energy go?, Earth Syst. Sci. Data, 12, 2013–2041, https://doi.org/10.5194/essd-12-2013-2020, 2020.
Wanninkhof, R.: Relationship between wind speed and gas exchange over the
ocean, J. Geophys. Res.-Oceans, 97, 7373–7382, https://doi.org/10.1029/92JC00188, 1992.
Wanninkhof, R.: Relationship between wind speed and gas exchange over the
ocean revisited, Limnol. Oceanogr. Meth., 12, 351–362, https://doi.org/10.4319/lom.2014.12.351, 2014.
Watson, A. J., Schuster, U., Shutler, J. D., Holding, T., Ashton, I. G. C.,
Woolf, D. K., and Goddijn-Murphy, L.: Revised estimates of ocean-atmosphere
CO2 flux are consistent with ocean carbon inventory, Nat. Commun., 11,
1–4422, https://doi.org/10.1038/s41467-020-18203-3, 2020.
Woolf, D. K., Land, P. E., Shutler, J. D., Goddijn-Murphy, L., and Donlon,
C. J.: On the calculation of air-sea fluxes of CO2 in the presence of
temperature and salinity gradients, J. Geophys. Res.-Oceans, 121,
1229–1248, https://doi.org/10.1002/2015JC011427, 2016.
Woolf, D. K., Shutler, J. D., Goddijn-Murphy, L., Watson, A. J., Chapron,
B., Nightingale, P. D., Donlon, C. J., Piskozub, J., Yelland, M. J., Ashton,
I., Holding, T., Schuster, U., Girard-Ardhuin, F., Grouazel, A., Piolle, J.
F., Warren, M., Wrobel-Niedzwiecka, I., Land, P. E., Torres, R., Prytherch,
P., Hanafin, J., Ardhuin, F., and Paul, F.: Key Uncertainties in the Recent
Air-Sea Flux of CO2, Global Biogeochem. Cy., 33, 1548–1563,
https://doi.org/10.1029/2018GB006041, 2019.
Weiss, R. F.: Carbon dioxide in water and seawater: the solubility of a
non-ideal gas, Mar. Chem., 2, 203–215, https://doi.org/10.1016/0304-4203(74)90015-2, 1974.
Zeng, J., Nojiri, Y., Landschützer, P., Telszewski, M., and Nakaoka, S.:
A global surface ocean fCO2 climatology based on a feed-forward neural
network, J. Atmos. Ocean Tech., 31, 1838–1849, https://doi.org/10.1175/JTECH-D-13-00137.1, 2014.
Short summary
Oceanographers calculate the exchange of carbon between the ocean and atmosphere by comparing partial pressures of carbon dioxide (pCO2). Because seawater pCO2 is not measured everywhere at all times, interpolation schemes are required to fill observational gaps. We describe a monthly gap-filled dataset of pCO2 in the northeast Pacific Ocean off the west coast of North America created by machine-learning interpolation. This dataset is unique in its robust representation of coastal seasonality.
Oceanographers calculate the exchange of carbon between the ocean and atmosphere by comparing...
Altmetrics
Final-revised paper
Preprint