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253 results on '"Sutton, Adrienne J."'

3. Antarctica and the Southern Ocean

Author

Stammerjohn, Sharon, Scambos, Ted A, Adusumilli, Susheel, Barreira, Sandra, Bernhard, Germar H, Bozkurt, Deniz, Bushinsky, Seth M, Clem, Kyle R, Colwell, Steve, Coy, Lawrence, De Laat, Jos, du Plessis, Marcel D, Fogt, Ryan L, Foppert, Annie, Fricker, Helen Amanda, Gardner, Alex S, Gille, Sarah T, Gorte, Tessa, Johnson, Bryan, Keenan, Eric, Kennett, Daemon, Keller, Linda M, Kramarova, Natalya A, Lakkala, Kaisa, Lazzara, Matthew A, Lenaerts, Jan TM, Lieser, Jan L, Li, Zhi, Liu, Hongxing, Long, Craig S, MacFerrin, Michael, Maclennan, Michelle L, Massom, Robert A, Mikolajczyk, David, Montgomery, Lynn, Mote, Thomas L, Nash, Eric R, Newman, Paul A, Petropavlovskikh, Irina, Pitts, Michael, Reid, Phillip, Rintoul, Steven R, Santee, Michelle L, Shadwick, Elizabeth H, Silvano, Alessandro, Stierle, Scott, Strahan, Susan, Sutton, Adrienne J, Swart, Sebastiaan, Tamsitt, Veronica, Tilbrook, Bronte, Wang, Lei, Williams, Nancy L, and Yuan, Xiaojun

Subjects
Astronomical and Space Sciences, Atmospheric Sciences, Physical Geography and Environmental Geoscience, Meteorology & Atmospheric Sciences
Published
2021

4. Biogeochemical Anomalies at Two Southern California Current System Moorings During the 2014–2016 Warm Anomaly‐El Niño Sequence

Author

Lilly, Laura E, Send, Uwe, Lankhorst, Matthias, Martz, Todd R, Feely, Richard A, Sutton, Adrienne J, and Ohman, Mark D

Subjects
Life Below Water, El Nino, warm anomaly, California Current System, moorings, aragonite saturation, pteropods, Geophysics, Oceanography, Physical Geography and Environmental Geoscience
Abstract

We analyzed impacts of the 2014–2015 Pacific Warm Anomaly and 2015–2016 El Niño on physical and biogeochemical variables at two southern California Current System moorings (CCE2, nearshore upwelling off Point Conception; CCE1, offshore California Current). Nitrate and Chl-a fluorescence were

Published
2019

5. Toward an integrated pantropical ocean observing system.

Author

Foltz, Gregory R., Eddebbar, Yassir A., Sprintall, Janet, Capotondi, Antonietta, Cravatte, Sophie, Brandt, Peter, Sutton, Adrienne J., Morris, Tamaryn, Hermes, Juliet, McMahon, Clive R., McPhaden, Michael J., Looney, Lev B., Tuchen, Franz Philip, Roxy, Mathew Koll, Wang, Fan, Chai, Fei, Rodrigues, Regina R., Rodriguez-Fonseca, Belen, Subramanian, Aneesh C., and Dengler, Marcus

Subjects
GLOBAL Ocean Observing System, CLIMATE change, TROPICAL climate, INTERNATIONAL cooperation, OCEANOGRAPHIC observations, REGIONAL disparities, OCEAN
Abstract

Global climate is regulated by the ocean, which stores, releases, and transports large amounts of mass, heat, carbon, and oxygen. Understanding, monitoring, and predicting the exchanges of these quantities across the ocean's surface, their interactions with the atmosphere, and their horizontal and vertical pathways through the global oceans, are key for advancing fundamental knowledge and improving forecasts and longer-term projections of climate, weather, and ocean ecosystems. The existing global observing system provides immense value for science and society in this regard by supplying the data essential for these advancements. The tropical ocean observing system in particular has been developed over decades, motivated in large part by the far-reaching and complex global impacts of tropical climate variability and change. However, changes in observing needs and priorities, new challenges associated with climate change, and advances in observing technologies demand periodic evaluations to ensure that stakeholders' needs are met. Previous reviews and assessments of the tropical observing system have focused separately on individual basins and their associated observing needs. Here we provide a broader perspective covering the tropical observing system as a whole. Common gaps, needs, and recommendations are identified, and interbasin differences driven by socioeconomic disparities are discussed, building on the concept of an integrated pantropical observing system. Finally, recommendations for improved observations of tropical basin interactions, through oceanic and atmospheric pathways, are presented, emphasizing the benefits that can be achieved through closer interbasin coordination and international partnerships. [ABSTRACT FROM AUTHOR]

Published
2025
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8. Site‐Specific Multiple Stressor Assessments Based on High Frequency Surface Observations and an Earth System Model.

Author

Olson, Elise M. B., John, Jasmin G., Dunne, John P., Stock, Charles, Drenkard, Elizabeth J., and Sutton, Adrienne J.

Subjects
GLOBAL modeling systems, MARINE ecology, PEARSON correlation (Statistics), OCEAN acidification, TIME series analysis, ATMOSPHERIC carbon dioxide, OCEAN temperature
Abstract

Global Earth system models are often enlisted to assess the impacts of climate variability and change on marine ecosystems. In this study, we compare high frequency (daily) outputs of potential ecosystem stressors, such as sea surface temperature and surface pH, and associated variables from an Earth system model (GFDL ESM4.1) with high frequency time series from a global network of moorings to directly assess the capacity of the model to resolve local biogeochemical variability on time scales from daily to interannual. Our analysis indicates variability in surface temperature is most consistent between ESM4.1 and observations, with a Pearson correlation coefficient of 0.93 and bias of 0.40°C, followed by variability in surface salinity. Physical variability is reproduced with greater accuracy than biogeochemical variability, and variability on seasonal and longer time scales is more consistent between the model and observations than higher frequency variability. At the same time, the well‐resolved seasonal and longer timescale variability is a reasonably good predictor, in many cases, of the likelihood of extreme events. Despite limited model representation of high frequency variability, model and observation‐based assessments of the fraction of days experiencing surface T‐pH and T‐Ωarag multistressor conditions show reasonable agreement, depending on the stressor combination and threshold definition. We also identify circumstances in which some errors could be reduced by accounting for model biases. Plain Language Summary: Ocean ecosystems are under stress from changing temperature and acidity due to the human‐driven increase in global atmospheric carbon dioxide. Global Earth system models (ESMs) are used to study the effects of climate variability and change on marine ecosystems. However, computing power and storage constraints limit the level of detail represented by these simulations. Some short timescale variability present in the real world is missing from ESM output. Despite this inconsistency, we show that at an array of sites where daily observation data from ocean moorings is available, models accurately capture observed spatial patterns in estimates of the amount of time the locations experience combined temperature and acidification stress. We also demonstrate circumstances in which some model errors can be reduced through bias correction. Key Points: Physical and biogeochemical variability from moorings and GFDL ESM4.1 output is most consistent on seasonal and longer time scalesMore high frequency (daily to monthly) variability is present in observations than in ESM outputDespite missing high frequency variability, ESM output can be applied to accurately quantify multiple stressor events [ABSTRACT FROM AUTHOR]

Published
2024
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10. Global Carbon Budget 2023

Author

Friedlingstein, Pierre, primary, O'Sullivan, Michael, additional, Jones, Matthew W., additional, Andrew, Robbie M., additional, Bakker, Dorothee C. E., additional, Hauck, Judith, additional, Landschützer, Peter, additional, Le Quéré, Corinne, additional, Luijkx, Ingrid T., additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Robert B., additional, Alin, Simone R., additional, Anthoni, Peter, additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Decharme, Bertrand, additional, Bopp, Laurent, additional, Brasika, Ida Bagus Mandhara, additional, Cadule, Patricia, additional, Chamberlain, Matthew A., additional, Chandra, Naveen, additional, Chau, Thi-Tuyet-Trang, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Dou, Xinyu, additional, Enyo, Kazutaka, additional, Evans, Wiley, additional, Falk, Stefanie, additional, Feely, Richard A., additional, Feng, Liang, additional, Ford, Daniel J., additional, Gasser, Thomas, additional, Ghattas, Josefine, additional, Gkritzalis, Thanos, additional, Grassi, Giacomo, additional, Gregor, Luke, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Hefner, Matthew, additional, Heinke, Jens, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Jacobson, Andrew R., additional, Jain, Atul, additional, Jarníková, Tereza, additional, Jersild, Annika, additional, Jiang, Fei, additional, Jin, Zhe, additional, Joos, Fortunat, additional, Kato, Etsushi, additional, Keeling, Ralph F., additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Körtzinger, Arne, additional, Lan, Xin, additional, Lefèvre, Nathalie, additional, Li, Hongmei, additional, Liu, Junjie, additional, Liu, Zhiqiang, additional, Ma, Lei, additional, Marland, Greg, additional, Mayot, Nicolas, additional, McGuire, Patrick C., additional, McKinley, Galen A., additional, Meyer, Gesa, additional, Morgan, Eric J., additional, Munro, David R., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paulsen, Melf, additional, Pierrot, Denis, additional, Pocock, Katie, additional, Poulter, Benjamin, additional, Powis, Carter M., additional, Rehder, Gregor, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Séférian, Roland, additional, Smallman, T. Luke, additional, Smith, Stephen M., additional, Sospedra-Alfonso, Reinel, additional, Sun, Qing, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Takao, Shintaro, additional, Tans, Pieter P., additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tsujino, Hiroyuki, additional, Tubiello, Francesco, additional, van der Werf, Guido R., additional, van Ooijen, Erik, additional, Wanninkhof, Rik, additional, Watanabe, Michio, additional, Wimart-Rousseau, Cathy, additional, Yang, Dongxu, additional, Yang, Xiaojuan, additional, Yuan, Wenping, additional, Yue, Xu, additional, Zaehle, Sönke, additional, Zeng, Jiye, additional, and Zheng, Bo, additional

Published
2023
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12. Supplementary material to "Global Carbon Budget 2023"

Author

Friedlingstein, Pierre, primary, O'Sullivan, Michael, additional, Jones, Matthew W., additional, Andrew, Robbie M., additional, Bakker, Dorothee C. E., additional, Hauck, Judith, additional, Landschützer, Peter, additional, Le Quéré, Corinne, additional, Luijkx, Ingrid T., additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Robert B., additional, Alin, Simone R., additional, Anthoni, Peter, additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Decharme, Bertrand, additional, Bopp, Laurent, additional, Brasika, Ida Bagus Mandhara, additional, Cadule, Patricia, additional, Chamberlain, Matthew A., additional, Chandra, Naveen, additional, Chau, Thi-Tuyet-Trang, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Dou, Xinyu, additional, Enyo, Kazutaka, additional, Evans, Wiley, additional, Falk, Stefanie, additional, Feely, Richard A., additional, Feng, Liang, additional, Ford, Daniel. J., additional, Gasser, Thomas, additional, Ghattas, Josefine, additional, Gkritzalis, Thanos, additional, Grassi, Giacomo, additional, Gregor, Luke, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Hefner, Matthew, additional, Heinke, Jens, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Jacobson, Andrew R., additional, Jain, Atul, additional, Jarníková, Tereza, additional, Jersild, Annika, additional, Jiang, Fei, additional, Jin, Zhe, additional, Joos, Fortunat, additional, Kato, Etsushi, additional, Keeling, Ralph F., additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Körtzinger, Arne, additional, Lan, Xin, additional, Lefèvre, Nathalie, additional, Li, Hongmei, additional, Liu, Junjie, additional, Liu, Zhiqiang, additional, Ma, Lei, additional, Marland, Greg, additional, Mayot, Nicolas, additional, McGuire, Patrick C., additional, McKinley, Galen A., additional, Meyer, Gesa, additional, Morgan, Eric J., additional, Munro, David R., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paulsen, Melf E., additional, Pierrot, Denis, additional, Pocock, Katie, additional, Poulter, Benjamin, additional, Powis, Carter M., additional, Rehder, Gregor, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Séférian, Roland, additional, Smallman, T. Luke, additional, Smith, Stephen M., additional, Sospedra-Alfonso, Reinel, additional, Sun, Qing, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Takao, Shintaro, additional, Tans, Pieter P., additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tsujino, Hiroyuki, additional, Tubiello, Francesco, additional, van der Werf, Guido R., additional, van Ooijen, Erik, additional, Wanninkhof, Rik, additional, Watanabe, Michio, additional, Wimart-Rousseau, Cathy, additional, Yang, Dongxu, additional, Yang, Xiaojuan, additional, Yuan, Wenping, additional, Yue, Xu, additional, Zaehle, Sönke, additional, Zeng, Jiye, additional, and Zheng, Bo, additional

Published
2023
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17. Controls on surface water carbonate chemistry along North American ocean margins

Author

Cai, Wei-Jun, Xu, Yuan-Yuan, Feely, Richard A., Wanninkhof, Rik, Jönsson, Bror, Alin, Simone R., Barbero, Leticia, Cross, Jessica N., Azetsu-Scott, Kumiko, Fassbender, Andrea J., Carter, Brendan R., Jiang, Li-Qing, Pepin, Pierre, Chen, Baoshan, Hussain, Najid, Reimer, Janet J., Xue, Liang, Salisbury, Joseph E., Hernández-Ayón, José Martín, Langdon, Chris, Li, Qian, Sutton, Adrienne J., Chen, Chen-Tung A., and Gledhill, Dwight K.

Published
2020
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18. Assessing improvements in global ocean pCO2 machine learning reconstructions with Southern Ocean autonomous sampling.

Author

Heimdal, Thea H., McKinley, Galen A., Sutton, Adrienne J., Fay, Amanda R., and Gloege, Lucas

Subjects
MACHINE learning, CARBON dioxide, SURFACE reconstruction, OCEAN
Abstract

The Southern Ocean plays an important role in the exchange of carbon between the atmosphere and oceans and is a critical region for the ocean uptake of anthropogenic CO 2. However, estimates of the Southern Ocean air–sea CO 2 flux are highly uncertain due to limited data coverage. Increased sampling in winter and across meridional gradients in the Southern Ocean may improve machine learning (ML) reconstructions of global surface ocean p CO 2. Here, we use a large ensemble test bed (LET) of Earth system models and the " p CO 2 -Residual" reconstruction method to assess improvements in p CO 2 reconstruction fidelity that could be achieved with additional autonomous sampling in the Southern Ocean added to existing Surface Ocean CO 2 Atlas (SOCAT) observations. The LET allows for a robust evaluation of the skill of p CO 2 reconstructions in space and time through comparison to "model truth". With only SOCAT sampling, Southern Ocean and global p CO 2 are overestimated, and thus the ocean carbon sink is underestimated. Incorporating uncrewed surface vehicle (USV) sampling increases the spatial and seasonal coverage of observations within the Southern Ocean, leading to a decrease in the overestimation of p CO 2. A modest number of additional observations in Southern Hemisphere winter and across meridional gradients in the Southern Ocean leads to an improvement in reconstruction bias and root-mean-squared error (RMSE) of as much as 86 % and 16 %, respectively, as compared to SOCAT sampling alone. Lastly, the large decadal variability of air–sea CO 2 fluxes shown by SOCAT-only sampling may be partially attributable to undersampling of the Southern Ocean. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Global Carbon Budget 2023

Author

Friedlingstein, Pierre, O’Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Landschützer, Peter, Le Quéré, Corinne, Luijkx, Ingrid T., Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Anthoni, Peter, Barbero, Leticia, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Decharme, Bertrand, Bopp, Laurent, Brasika, Ida Bagus Mandhara, Cadule, Patricia, Chamberlain, Matthew A., Chandra, Naveen, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Dou, Xinyu, Enyo, Kazutaka, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Feng, Liang, Ford, Daniel J., Gasser, Thomas, Ghattas, Josefine, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Heinke, Jens, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jacobson, Andrew R., Jain, Atul, Jarníková, Tereza, Jersild, Annika, Jiang, Fei, Jin, Zhe, Joos, Fortunat, Kato, Etsushi, Keeling, Ralph F., Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Lan, Xin, Lefèvre, Nathalie, Li, Hongmei, Liu, Junjie, Liu, Zhiqiang, Ma, Lei, Marland, Greg, Mayot, Nicolas, McGuire, Patrick C., McKinley, Galen A., Meyer, Gesa, Morgan, Eric J., Munro, David R., Nakaoka, Shin Ichiro, Niwa, Yosuke, O’Brien, Kevin M., Olsen, Are, Omar, Abdirahman M., Ono, Tsuneo, Paulsen, Melf, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Powis, Carter M., Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Smallman, Luke, Smith, Stephen M., Sospedra-Alfonso, Reinel, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, van der Werf, Guido R., van Ooijen, Erik, Wanninkhof, Rik, Watanabe, Michio, Wimart-Rousseau, Cathy, Yang, Dongxu, Yang, Xiaojuan, Yuan, Wenping, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Zheng, Bo, Friedlingstein, Pierre, O’Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Landschützer, Peter, Le Quéré, Corinne, Luijkx, Ingrid T., Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Anthoni, Peter, Barbero, Leticia, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Decharme, Bertrand, Bopp, Laurent, Brasika, Ida Bagus Mandhara, Cadule, Patricia, Chamberlain, Matthew A., Chandra, Naveen, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Dou, Xinyu, Enyo, Kazutaka, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Feng, Liang, Ford, Daniel J., Gasser, Thomas, Ghattas, Josefine, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Heinke, Jens, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jacobson, Andrew R., Jain, Atul, Jarníková, Tereza, Jersild, Annika, Jiang, Fei, Jin, Zhe, Joos, Fortunat, Kato, Etsushi, Keeling, Ralph F., Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Lan, Xin, Lefèvre, Nathalie, Li, Hongmei, Liu, Junjie, Liu, Zhiqiang, Ma, Lei, Marland, Greg, Mayot, Nicolas, McGuire, Patrick C., McKinley, Galen A., Meyer, Gesa, Morgan, Eric J., Munro, David R., Nakaoka, Shin Ichiro, Niwa, Yosuke, O’Brien, Kevin M., Olsen, Are, Omar, Abdirahman M., Ono, Tsuneo, Paulsen, Melf, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Powis, Carter M., Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Smallman, Luke, Smith, Stephen M., Sospedra-Alfonso, Reinel, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, van der Werf, Guido R., van Ooijen, Erik, Wanninkhof, Rik, Watanabe, Michio, Wimart-Rousseau, Cathy, Yang, Dongxu, Yang, Xiaojuan, Yuan, Wenping, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, and Zheng, Bo

Published
2023

27. National contributions to climate change due to historical emissions of carbon dioxide, methane and nitrous oxide

Author

Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Gregor, Luke, Hauck, Judith, Le Quéré, Corinne, Luijkx, Ingrid T., Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Alkama, Ramdane, Arneth, Almut, Arora, Vivek K., Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bittig, Henry C., Bopp, Laurent, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Gasser, Thomas, Gehlen, Marion, Gkritzalis, Thanos, Gloege, Lucas, Grassi, Giacomo, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jain, Atul K., Jersild, Annika, Kadono, Koji, Kato, Etsushi, Kennedy, Daniel, Klein Goldewijk, Kees, Knauer, Jürgen, Korsbakken, Jan Ivar, Landschützer, Peter, Lefèvre, Nathalie, Lindsay, Keith, Liu, Junjie, Liu, Zhu, Marland, Gregg, Mayot, Nicolas, Mcgrath, Matthew J., Metzl, Nicolas, Monacci, Natalie M., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'brien, Kevin, Ono, Tsuneo, Palmer, Paul I., Pan, Naiqing, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rodriguez, Carmen, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Shutler, Jamie D., Skjelvan, Ingunn, Steinhoff, Tobias, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tanhua, Toste, Tans, Pieter P., Tian, Xiangjun, Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, Van Der Werf, Guido R., Walker, Anthony P., Wanninkhof, Rik, Whitehead, Chris, Willstrand Wranne, Anna, Wright, Rebecca, Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Zheng, Bo, Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Gregor, Luke, Hauck, Judith, Le Quéré, Corinne, Luijkx, Ingrid T., Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Alkama, Ramdane, Arneth, Almut, Arora, Vivek K., Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bittig, Henry C., Bopp, Laurent, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Gasser, Thomas, Gehlen, Marion, Gkritzalis, Thanos, Gloege, Lucas, Grassi, Giacomo, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jain, Atul K., Jersild, Annika, Kadono, Koji, Kato, Etsushi, Kennedy, Daniel, Klein Goldewijk, Kees, Knauer, Jürgen, Korsbakken, Jan Ivar, Landschützer, Peter, Lefèvre, Nathalie, Lindsay, Keith, Liu, Junjie, Liu, Zhu, Marland, Gregg, Mayot, Nicolas, Mcgrath, Matthew J., Metzl, Nicolas, Monacci, Natalie M., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'brien, Kevin, Ono, Tsuneo, Palmer, Paul I., Pan, Naiqing, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rodriguez, Carmen, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Shutler, Jamie D., Skjelvan, Ingunn, Steinhoff, Tobias, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tanhua, Toste, Tans, Pieter P., Tian, Xiangjun, Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, Van Der Werf, Guido R., Walker, Anthony P., Wanninkhof, Rik, Whitehead, Chris, Willstrand Wranne, Anna, Wright, Rebecca, Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, and Zheng, Bo

Abstract

A complete description of the dataset is given by Jones et al. (2023). Key information is provided below. A dataset describing the global warming response to national emissions CO2, CH4 and N2O from fossil and land use sources during 1851-2021. National CO2 emissions data are collated from the Global Carbon Project (Andrew and Peters, 2022; Friedlingstein et al., 2022). National CH4 and N2O emissions data are collated from PRIMAP-hist (HISTTP) (Gütschow et al., 2022). We construct a time series of cumulative CO2-equivalent emissions for each country, gas, and emissions source (fossil or land use). Emissions of CH4 and N2O emissions are related to cumulative CO2-equivalent emissions using the Global Warming Potential (GWP*) approach, with best-estimates of the coefficients taken from the IPCC AR6 (Forster et al., 2021). Warming in response to cumulative CO2-equivalent emissions is estimated using the transient climate response to cumulative carbon emissions (TCRE) approach, with best-estimate value of TCRE taken from the IPCC AR6 (Forster et al., 2021, Canadell et al., 2021). 'Warming' is specifically the change in global mean surface temperature (GMST). The data files provide emissions, cumulative emissions and the GMST response by country, gas (CO2, CH4, N2O or 3-GHG total) and source (fossil emissions, land use emissions or the total)., A complete description of the dataset is given by Jones et al. (2023). Key information is provided below. Background A dataset describing the global warming response to national emissions CO2, CH4 and N2O from fossil and land use sources during 1851-2021. National CO2 emissions data are collated from the Global Carbon Project (Andrew and Peters, 2022; Friedlingstein et al., 2022). National CH4 and N2O emissions data are collated from PRIMAP-hist (HISTTP) (Gütschow et al., 2022). We construct a time series of cumulative CO2-equivalent emissions for each country, gas, and emissions source (fossil or land use). Emissions of CH4 and N2O emissions are related to cumulative CO2-equivalent emissions using the Global Warming Potential (GWP*) approach, with best-estimates of the coefficients taken from the IPCC AR6 (Forster et al., 2021). Warming in response to cumulative CO2-equivalent emissions is estimated using the transient climate response to cumulative carbon emissions (TCRE) approach, with best-estimate value of TCRE taken from the IPCC AR6 (Forster et al., 2021, Canadell et al., 2021). 'Warming' is specifically the change in global mean surface temperature (GMST). The data files provide emissions, cumulative emissions and the GMST response by country, gas (CO2, CH4, N2O or 3-GHG total) and source (fossil emissions, land use emissions or the total). Data records: overview The data records include three comma separated values (.csv) files as described below. All files are in ‘long’ format with one value provided in the Data column for each combination of the categorical variables Year, Country Name, Country ISO3 code, Gas, and Component columns. Component specifies fossil emissions, LULUCF emissions or total emissions of the gas. Gas specifies CO2, CH4, N

Published
2023

28. Drivers of CO2-carbonate system variability in the coastal ocean south of Honolulu, Hawai'i.

Author

Knor, Lucie A. C. M., Meléndez, Melissa, Sabine, Christopher L., and Sutton, Adrienne J.

Subjects
CARBON dioxide in seawater, TERRITORIAL waters, OCEAN acidification, PARTIAL pressure, OCEAN, WAR, CHLOROFLUOROCARBONS
Abstract

This study examines carbonate chemistry variability from 2008 to 2021 in subtropical coastal waters adjacent to Honolulu, Hawai'i. We use surface seawater carbon dioxide partial pressure (pCO2sw) measurements obtained every three hours from two buoys located along the south shore of O'ahu near anthropogenically impacted fringing reefs. The Ala Wai buoy was located 200 m offshore of a canal draining most of Honolulu, while the Kilo Nalu buoy was 1.3 miles (2 km) to the northwest, at a similar distance from shore with fewer terrestrial inputs. We compare pCO2sw variability from diurnal to interannual time scales. A trend analysis reveals a statistically significant increase in pCO2sw of +1.84 ± 0.27 µatm per year over the 11-year period. This rate is slightly lower than the average atmospheric growth rate observed during the same timeframe. In contrast to a nearby open-ocean site, the coastal sites experience amplified shorter-term variability, while seasonal to inter-annual variability is comparable to the open ocean. Ala Wai exhibits greater ranges than Kilo Nalu in all carbonate system variables due to its proximity to the Ala Wai Canal outflow. We examine the drivers that may explain both the similarities and contrasts in carbon dynamics observed between the two locations. Drivers of aragonite saturation state (WAr), an important variable for quantifying ocean acidification, are isolated from the in-situ time-series. Interannual salinity variations both due to freshwater pulses and large-scale regional salinity changes have a larger impact on WAr than temperature changes, which mostly have an effect seasonally. A large biological contribution to WAr is suspected, and further investigated using TA/DIC ratios normalized to median salinity and their slopes. Observed ratios at the south shore sites are evaluated relative to expected ratios derived from an open-ocean reference. Results suggest that dissolution and respiration are the primary biogeochemical processes occurring at these coastal sites. This highlights the significance of carbonate dissolution in anthropogenically impacted coastal waters, which is likely buffering acidification due to anthropogenic CO2 and freshwater inputs at these sites. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Assessing improvements in global ocean pCO2 machine learning reconstructions with 1 Southern Ocean autonomous sampling.

Author

Heimdal, Thea H., McKinley, Galen A., Sutton, Adrienne J., Fay, Amanda R., and Gloege, Lucas

Subjects
MACHINE learning, SURFACE reconstruction, OCEAN
Abstract

The Southern Ocean plays an important role in the exchange of carbon between the atmosphere and oceans, and is a critical region for the ocean uptake of anthropogenic CO2. However, estimates of the Southern Ocean air-sea CO2 flux are highly uncertain due to limited data coverage. Increased sampling in winter and across meridional gradients in the Southern Ocean may improve machine learning (ML) reconstructions of global surface ocean pCO2. Here, we use a Large Ensemble Testbed (LET) of Earth System Models and the pCO2-Residual reconstruction method to assess improvements in pCO2 reconstruction fidelity that could be achieved with additional autonomous sampling in the Southern Ocean added to existing Surface Ocean CO2 Atlas (SOCAT) observations. The LET allows us to robustly evaluate the skill of pCO2 reconstructions in space and time through comparison to 'model truth'. With only SOCAT sampling, Southern Ocean and global pCO2 are overestimated, and thus the ocean carbon sink is underestimated. Incorporating Uncrewed Surface Vehicle (USV) sampling increases the spatial and seasonal coverage of observations within the Southern Ocean, leading to a decrease in the overestimation of pCO2. A modest number of additional observations in southern hemisphere winter and across meridional gradients in the Southern Ocean leads to improvement in reconstruction bias and root-mean squared error (RMSE) can be improved by as much as 65 % and 19 %, respectively, as compared to using SOCAT sampling alone. Lastly, the large decadal variability of air-sea CO2 fluxes shown by SOCAT-only sampling, may be partially attributable to undersampling of the Southern Ocean. [ABSTRACT FROM AUTHOR]

Published
2023
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30. Biogeochemical Effects of Rising Atmospheric CO2 on Terrestrial and Ocean Systems

Author

Moore, David J. P, Cooley, Sarah R, Alin, Simone R, Butman, David E, Clow, David W, French, Nancy H. F, Feely, Richard A, Johnson, Zackary, Keppel-Aleks, Gretchen, Lohrenz, Steven E, Ocko, Ilissa, Shadwick, Elizabeth H, Sutton, Adrienne J, Potter, Christopher S, Takatsuka, Yuki, and Yu, Rita

Subjects
Earth Resources And Remote Sensing
Abstract

Rising carbon dioxide (CO2) has decreased seawater pH at long-term observing stations around the world, including in the open ocean north of Oahu, Hawaii, near Alaska's Aleutian Islands, the Gulf of Maine shore, and on Gray's Reef in the southeastern United States. This ocean acidification process has already affected some marine species and altered fundamental ecosystem processes, and further effects are likely. While atmospheric CO rises at approximately the same rate all over the globe, its non-climate effects on land vary depending on climate and dominant species. In terrestrial ecosystems, rising atmospheric CO concentrations are expected to increase plant photosynthesis, growth, and water-use efficiency, though these effects are reduced when nutrients, drought or other factors limit plant growth. Rising CO would likely change carbon storage and influence terrestrial hydrology and biogeochemical cycling, but concomitant effects on vegetation composition and nutrient feedbacks are challenging to predict, making decadal forecasts uncertain. Consequences of rising atmospheric CO are expected to include difficult-to-predict changes in the ecosystem services that terrestrial and ocean systems provide to humans. For instance, ocean acidification resulting from rising CO has decreased the supply of larvae that sustains commercial shellfish production in the northwestern United States. In addition, CO fertilization (increases) plus warming (decreases) are changing terrestrial crop yields. Continued persistence of uptake of carbon by the land and ocean is uncertain. Climate and environmental change create complex feedbacks to the carbon cycle and it is not clear how feedbacks modulate future effects of rising CO on carbon sinks. These are several mechanisms that could reduce future sink capacity.

Published
2018

31. Advancing best practices for assessing trends of ocean acidification time series

Author

Sutton, Adrienne J., primary, Battisti, Roman, additional, Carter, Brendan, additional, Evans, Wiley, additional, Newton, Jan, additional, Alin, Simone, additional, Bates, Nicholas R., additional, Cai, Wei-Jun, additional, Currie, Kim, additional, Feely, Richard A., additional, Sabine, Christopher, additional, Tanhua, Toste, additional, Tilbrook, Bronte, additional, and Wanninkhof, Rik, additional

Published
2022
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33. Global Carbon Budget 2022

Author

Friedlingstein, Pierre, primary, O'Sullivan, Michael, additional, Jones, Matthew W., additional, Andrew, Robbie M., additional, Gregor, Luke, additional, Hauck, Judith, additional, Le Quéré, Corinne, additional, Luijkx, Ingrid T., additional, Olsen, Are, additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Robert B., additional, Alin, Simone R., additional, Alkama, Ramdane, additional, Arneth, Almut, additional, Arora, Vivek K., additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Bittig, Henry C., additional, Bopp, Laurent, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Evans, Wiley, additional, Falk, Stefanie, additional, Feely, Richard A., additional, Gasser, Thomas, additional, Gehlen, Marion, additional, Gkritzalis, Thanos, additional, Gloege, Lucas, additional, Grassi, Giacomo, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Hefner, Matthew, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Jain, Atul K., additional, Jersild, Annika, additional, Kadono, Koji, additional, Kato, Etsushi, additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Landschützer, Peter, additional, Lefèvre, Nathalie, additional, Lindsay, Keith, additional, Liu, Junjie, additional, Liu, Zhu, additional, Marland, Gregg, additional, Mayot, Nicolas, additional, McGrath, Matthew J., additional, Metzl, Nicolas, additional, Monacci, Natalie M., additional, Munro, David R., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, O'Brien, Kevin, additional, Ono, Tsuneo, additional, Palmer, Paul I., additional, Pan, Naiqing, additional, Pierrot, Denis, additional, Pocock, Katie, additional, Poulter, Benjamin, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rodriguez, Carmen, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Séférian, Roland, additional, Shutler, Jamie D., additional, Skjelvan, Ingunn, additional, Steinhoff, Tobias, additional, Sun, Qing, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Takao, Shintaro, additional, Tanhua, Toste, additional, Tans, Pieter P., additional, Tian, Xiangjun, additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tsujino, Hiroyuki, additional, Tubiello, Francesco, additional, van der Werf, Guido R., additional, Walker, Anthony P., additional, Wanninkhof, Rik, additional, Whitehead, Chris, additional, Willstrand Wranne, Anna, additional, Wright, Rebecca, additional, Yuan, Wenping, additional, Yue, Chao, additional, Yue, Xu, additional, Zaehle, Sönke, additional, Zeng, Jiye, additional, and Zheng, Bo, additional

Published
2022
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34. Supplementary material to "Global Carbon Budget 2022"

Author

Friedlingstein, Pierre, primary, O'Sullivan, Michael, additional, Jones, Matthew W., additional, Andrew, Robbie M., additional, Gregor, Luke, additional, Hauck, Judith, additional, Le Quéré, Corinne, additional, Luijkx, Ingrid T., additional, Olsen, Are, additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Robert B., additional, Alin, Simone R., additional, Alkama, Ramdane, additional, Arneth, Almut, additional, Arora, Vivek K., additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Bittig, Henry C., additional, Bopp, Laurent, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Evans, Wiley, additional, Falk, Stefanie, additional, Feely, Richard A., additional, Gasser, Thomas, additional, Gehlen, Marion, additional, Gkritzalis, Thanos, additional, Gloege, Lucas, additional, Grassi, Giacomo, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Hefner, Matthew, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Jain, Atul K., additional, Jersild, Annika, additional, Kadono, Koji, additional, Kato, Etsushi, additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Landschützer, Peter, additional, Lefèvre, Nathalie, additional, Lindsay, Keith, additional, Liu, Junjie, additional, Liu, Zhu, additional, Marland, Gregg, additional, Mayot, Nicolas, additional, McGrath, Matthew J., additional, Metzl, Nicolas, additional, Monacci, Natalie M., additional, Munro, David R., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, O'Brien, Kevin, additional, Ono, Tsuneo, additional, Palmer, Paul I., additional, Pan, Naiqing, additional, Pierrot, Denis, additional, Pocock, Katie, additional, Poulter, Benjamin, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rodriguez, Carmen, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Séférian, Roland, additional, Shutler, Jamie D., additional, Skjelvan, Ingunn, additional, Steinhoff, Tobias, additional, Sun, Qing, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Takao, Shintaro, additional, Tanhua, Toste, additional, Tans, Pieter P., additional, Tian, Xiangjun, additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tsujino, Hiroyuki, additional, Tubiello, Francesco, additional, van der Werf, Guido, additional, Walker, Anthony P., additional, Wanninkhof, Rik, additional, Whitehead, Chris, additional, Willstrand Wranne, Anna, additional, Wright, Rebecca, additional, Yuan, Wenping, additional, Yue, Chao, additional, Yue, Xu, additional, Zaehle, Sönke, additional, Zeng, Jiye, additional, and Zheng, Bo, additional

Published
2022
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35. A monthly surface pCO2 product for the California Current Large Marine Ecosystem

Author

Sharp, Jonathan D., Fassbender, Andrea J., Carter, Brendan R., Lavin, Paige D., and Sutton, Adrienne J.

Subjects
TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES
Abstract

A common strategy for calculating the direction and rate of carbon dioxide gas (CO2) exchange between the ocean and atmosphere relies on knowledge of the partial pressure of CO2 in surface seawater (pCO2(sw)), a quantity that is frequently observed by autonomous sensors on ships and moored buoys, albeit with significant spatial and temporal gaps. Here we present a monthly gridded data product of pCO2(sw) at 0.25∘ latitude by 0.25∘ longitude resolution in the northeastern Pacific Ocean, centered on the California Current System (CCS) and spanning all months from January 1998 to December 2020. The data product (RFR-CCS; Sharp et al., 2022; https://doi.org/10.5281/zenodo.5523389) was created using observations from the most recent (2021) version of the Surface Ocean CO2 Atlas (Bakker et al., 2016). These observations were fit against a variety of collocated and contemporaneous satellite- and model-derived surface variables using a random forest regression (RFR) model. We validate RFR-CCS in multiple ways, including direct comparisons with observations from sensors on moored buoys, and find that the data product effectively captures seasonal pCO2(sw) cycles at nearshore sites. This result is notable because global gridded pCO2(sw) products do not capture local variability effectively in this region, suggesting that RFR-CCS is a better option than regional extractions from global products to represent pCO2(sw) in the CCS over the last 2 decades. Lessons learned from the construction of RFR-CCS provide insight into how global pCO2(sw) products could effectively characterize seasonal variability in nearshore coastal environments. We briefly review the physical and biological processes – acting across a variety of spatial and temporal scales – that are responsible for the latitudinal and nearshore-to-offshore pCO2(sw) gradients seen in the RFR-CCS reconstruction of pCO2(sw). RFR-CCS will be valuable for the validation of high-resolution models, the attribution of spatiotemporal carbonate system variability to physical and biological drivers, and the quantification of multiyear trends and interannual variability of ocean acidification.

Published
2022

36. Global Carbon Budget 2021

Author

Friedlingstein, Pierre, Jones, Matthew W., O'Sullivan, Michael, Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Le Quéré, Corinne, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Rob B., Alin, Simone R., Anthoni, Peter, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bopp, Laurent, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Currie, Kim I., Decharme, Bertrand, Djeutchouang, Laique M., Dou, Xinyu, Evans, Wiley, Feely, Richard A., Feng, Liang, Gasser, Thomas, Gilfillan, Dennis, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Luijkx, Ingrid T., Jain, Atul, Jones, Steve D., Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lienert, Sebastian, Liu, Junjie, Marland, Gregg, McGuire, Patrick C., Melton, Joe R., Munro, David R., Nabel, Julia E.M.S., Nakaoka, Shin Ichiro, Niwa, Yosuke, Ono, Tsuneo, Pierrot, Denis, Poulter, Benjamin, Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Schwingshackl, Clemens, Séférian, Roland, Sutton, Adrienne J., Sweeney, Colm, Tanhua, Toste, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tubiello, Francesco, Van Der Werf, Guido R., Vuichard, Nicolas, Wada, Chisato, Wanninkhof, Rik, Watson, Andrew J., Willis, David, Wiltshire, Andrew J., Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Integr. Assessm. Global Environm. Change, and Environmental Sciences

Subjects
Earth and Planetary Sciences(all)
Abstract

Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate is critical to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe and synthesize datasets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFOS) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly, and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) is estimated with global ocean biogeochemistry models and observation-based data products. The terrestrial CO2 sink (SLAND) is estimated with dynamic global vegetation models. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the first time, an approach is shown to reconcile the difference in our ELUC estimate with the one from national greenhouse gas inventories, supporting the assessment of collective countries' climate progress. For the year 2020, EFOS declined by 5.4% relative to 2019, with fossil emissions at 9.5±0.5GtCyr-1 (9.3±0.5GtCyr-1 when the cement carbonation sink is included), and ELUC was 0.9±0.7GtCyr-1, for a total anthropogenic CO2 emission of 10.2±0.8GtCyr-1 (37.4±2.9GtCO2). Also, for 2020, GATM was 5.0±0.2GtCyr-1 (2.4±0.1ppmyr-1), SOCEAN was 3.0±0.4GtCyr-1, and SLAND was 2.9±1GtCyr-1, with a BIM of -0.8GtCyr-1. The global atmospheric CO2 concentration averaged over 2020 reached 412.45±0.1ppm. Preliminary data for 2021 suggest a rebound in EFOS relative to 2020 of +4.8% (4.2% to 5.4%) globally. Overall, the mean and trend in the components of the global carbon budget are consistently estimated over the period 1959-2020, but discrepancies of up to 1GtCyr-1 persist for the representation of annual to semi-decadal variability in CO2 fluxes. Comparison of estimates from multiple approaches and observations shows (1) a persistent large uncertainty in the estimate of land-use changes emissions, (2) a low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) a discrepancy between the different methods on the strength of the ocean sink over the last decade. This living data update documents changes in the methods and datasets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this dataset (Friedlingstein et al., 2020, 2019; Le Quéré et al., 2018b, a, 2016, 2015b, a, 2014, 2013). The data presented in this work are available at 10.18160/gcp-2021 (Friedlingstein et al., 2021).

Published
2022

37. Supplemental data of Global Carbon Project 2022

Author

Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Gregor, Luke, Hauck, Judith, Le Quéré, Corinne, Luijkx, Ingrid T., Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Alkama, Ramdane, Arneth, Almut, Arora, Vivek K., Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bittig, Henry C., Bopp, Laurent, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Gasser, Thomas, Gehlen, Marion, Gkritzalis, Thanos, Gloege, Lucas, Grassi, Giacomo, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jain, Atul K., Jersild, Annika, Kadono, Koji, Kato, Etsushi, Kennedy, Daniel, Klein Goldewijk, Kees, Knauer, Jürgen, Korsbakken, Jan Ivar, Landschützer, Peter, Lefèvre, Nathalie, Lindsay, Keith, Liu, Junjie, Liu, Zhu, Marland, Gregg, Mayot, Nicolas, Mcgrath, Matthew J., Metzl, Nicolas, Monacci, Natalie M., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'brien, Kevin, Ono, Tsuneo, Palmer, Paul I., Pan, Naiqing, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rodriguez, Carmen, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Shutler, Jamie D., Skjelvan, Ingunn, Steinhoff, Tobias, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tanhua, Toste, Tans, Pieter P., Tian, Xiangjun, Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, Van Der Werf, Guido R., Walker, Anthony P., Wanninkhof, Rik, Whitehead, Chris, Willstrand Wranne, Anna, Wright, Rebecca, Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Zheng, Bo, Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Gregor, Luke, Hauck, Judith, Le Quéré, Corinne, Luijkx, Ingrid T., Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Alkama, Ramdane, Arneth, Almut, Arora, Vivek K., Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bittig, Henry C., Bopp, Laurent, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Gasser, Thomas, Gehlen, Marion, Gkritzalis, Thanos, Gloege, Lucas, Grassi, Giacomo, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jain, Atul K., Jersild, Annika, Kadono, Koji, Kato, Etsushi, Kennedy, Daniel, Klein Goldewijk, Kees, Knauer, Jürgen, Korsbakken, Jan Ivar, Landschützer, Peter, Lefèvre, Nathalie, Lindsay, Keith, Liu, Junjie, Liu, Zhu, Marland, Gregg, Mayot, Nicolas, Mcgrath, Matthew J., Metzl, Nicolas, Monacci, Natalie M., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'brien, Kevin, Ono, Tsuneo, Palmer, Paul I., Pan, Naiqing, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rodriguez, Carmen, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Shutler, Jamie D., Skjelvan, Ingunn, Steinhoff, Tobias, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tanhua, Toste, Tans, Pieter P., Tian, Xiangjun, Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, Van Der Werf, Guido R., Walker, Anthony P., Wanninkhof, Rik, Whitehead, Chris, Willstrand Wranne, Anna, Wright, Rebecca, Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, and Zheng, Bo

Abstract

Supplement containing data related to the 2022 Global Carbon Budget from the Global Carbon Project. The original article is Friedlingstein et al: Global Carbon Budget 2022, Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022. Further information is available on: http://www.globalcarbonproject.org/carbonbudget, Supplement containing data related to the 2022 Global Carbon Budget from the Global Carbon Project. The original article is Friedlingstein et al: Global Carbon Budget 2022, Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022. Further information is available on: http://www.globalcarbonproject.org/carbonbudget. File Global_Carbon_Budget_2022v1.0.xlsx includes the following: 1. Summary 2. Global Carbon Budget 3. Fossil fuel emissions by Fuel Type 4. Land-use change emissions 5. Ocean Sink 6. Terrestrial sink 7. Historical Budget. File National_Carbon_Emissions_2022v1.0.xlsx includes the following: 1. Summary 2. Territorial emissions 3. Consumption emissions 4. Emissions transfers 5. Country definitions 6. Disaggregation 7. Aggregation

Published
2022

38. Global Carbon Budget 2021

Author

Integr. Assessm. Global Environm. Change, Environmental Sciences, Friedlingstein, Pierre, Jones, Matthew W., O'Sullivan, Michael, Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Le Quéré, Corinne, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Rob B., Alin, Simone R., Anthoni, Peter, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bopp, Laurent, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Currie, Kim I., Decharme, Bertrand, Djeutchouang, Laique M., Dou, Xinyu, Evans, Wiley, Feely, Richard A., Feng, Liang, Gasser, Thomas, Gilfillan, Dennis, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Luijkx, Ingrid T., Jain, Atul, Jones, Steve D., Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lienert, Sebastian, Liu, Junjie, Marland, Gregg, McGuire, Patrick C., Melton, Joe R., Munro, David R., Nabel, Julia E.M.S., Nakaoka, Shin Ichiro, Niwa, Yosuke, Ono, Tsuneo, Pierrot, Denis, Poulter, Benjamin, Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Schwingshackl, Clemens, Séférian, Roland, Sutton, Adrienne J., Sweeney, Colm, Tanhua, Toste, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tubiello, Francesco, Van Der Werf, Guido R., Vuichard, Nicolas, Wada, Chisato, Wanninkhof, Rik, Watson, Andrew J., Willis, David, Wiltshire, Andrew J., Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Integr. Assessm. Global Environm. Change, Environmental Sciences, Friedlingstein, Pierre, Jones, Matthew W., O'Sullivan, Michael, Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Le Quéré, Corinne, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Rob B., Alin, Simone R., Anthoni, Peter, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bopp, Laurent, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Currie, Kim I., Decharme, Bertrand, Djeutchouang, Laique M., Dou, Xinyu, Evans, Wiley, Feely, Richard A., Feng, Liang, Gasser, Thomas, Gilfillan, Dennis, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Luijkx, Ingrid T., Jain, Atul, Jones, Steve D., Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lienert, Sebastian, Liu, Junjie, Marland, Gregg, McGuire, Patrick C., Melton, Joe R., Munro, David R., Nabel, Julia E.M.S., Nakaoka, Shin Ichiro, Niwa, Yosuke, Ono, Tsuneo, Pierrot, Denis, Poulter, Benjamin, Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Schwingshackl, Clemens, Séférian, Roland, Sutton, Adrienne J., Sweeney, Colm, Tanhua, Toste, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tubiello, Francesco, Van Der Werf, Guido R., Vuichard, Nicolas, Wada, Chisato, Wanninkhof, Rik, Watson, Andrew J., Willis, David, Wiltshire, Andrew J., Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, and Zeng, Jiye

Published
2022

39. Advancing best practices for assessing trends of ocean acidification time series

Author

Sutton, Adrienne J., Battisti, Roman, Carter, Brendan, Evans, Wiley, Newton, Jan, Alin, Simone, Bates, Nicholas R., Cai, Wei-Jun, Currie, Kim, Feely, Richard A., Sabine, Christopher, Tanhua, Toste, Tilbrook, Bronte, Wanninkhof, Rik, Sutton, Adrienne J., Battisti, Roman, Carter, Brendan, Evans, Wiley, Newton, Jan, Alin, Simone, Bates, Nicholas R., Cai, Wei-Jun, Currie, Kim, Feely, Richard A., Sabine, Christopher, Tanhua, Toste, Tilbrook, Bronte, and Wanninkhof, Rik

Abstract

Assessing the status of ocean acidification across ocean and coastal waters requires standardized procedures at all levels of data collection, dissemination, and analysis. Standardized procedures for assuring quality and accessibility of ocean carbonate chemistry data are largely established, but a common set of best practices for ocean acidification trend analysis is needed to enable global time series comparisons, establish accurate records of change, and communicate the current status of ocean acidification within and outside the scientific community. Here we expand upon several published trend analysis techniques and package them into a set of best practices for assessing trends of ocean acidification time series. These best practices are best suited for time series capable of characterizing seasonal variability, typically those with sub-seasonal (ideally monthly or more frequent) data collection. Given ocean carbonate chemistry time series tend to be sparse and discontinuous, additional research is necessary to further advance these best practices to better address uncharacterized variability that can result from data discontinuities. This package of best practices and the associated open-source software for computing and reporting trends is aimed at helping expand the community of practice in ocean acidification trend analysis. A broad community of practice testing these and new techniques across different data sets will result in improvements and expansion of these best practices in the future.

Published
2022
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40. Relating nutrient and herbicide fate with landscape features and characteristics of 15 subwatersheds in the Choptank River watershed

Author

Hively, W. Dean, Hapeman, Cathleen J., McConnell, Laura L., Fisher, Thomas R., Rice, Clifford P., McCarty, Gregory W., Sadeghi, Ali M., Whitall, David R., Downey, Peter M., Niño de Guzmán, Gabriela T., Bialek-Kalinski, Krystyna, Lang, Megan W., Gustafson, Anne B., Sutton, Adrienne J., Sefton, Kerry A., and Harman Fetcho, Jennifer A.

Published
2011
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41. Ocean Biogeochemical Signatures of the North Pacific Blob

Author

Mogen, Samuel C., primary, Lovenduski, Nicole S., additional, Dallmann, Allysa R., additional, Gregor, Luke, additional, Sutton, Adrienne J., additional, Bograd, Steven J., additional, Quiros, Nathali Cordero, additional, Di Lorenzo, Emanuele, additional, Hazen, Elliott L., additional, Jacox, Michael G., additional, Buil, Mercedes Pozo, additional, and Yeager, Stephen, additional

Published
2022
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43. State of the Carbon Cycle - Consequences of Rising Atmospheric CO2

Author

Moore, David J, Cooley, Sarah R, Alin, Simone R, Brown, Molly, Butman, David E, French, Nancy H. F, Johnson, Zackary I, Keppel-Aleks, Lohrenz, Steven E, Ocko, Ilissa, Shadwick, Elizabeth H, Sutton, Adrienne J, Potter, Christopher S, and Yu, Rita M. S

Subjects
Earth Resources And Remote Sensing
Abstract

The rise of atmospheric CO2, largely attributable to human activity through fossil fuel emissions and land-use change, has been dampened by carbon uptake by the ocean and terrestrial biosphere. We outline the consequences of this carbon uptake as direct and indirect effects on terrestrial and oceanic systems and processes for different regions of North America and the globe. We assess the capacity of these systems to continue to act as carbon sinks. Rising CO2 has decreased seawater pH; this process of ocean acidification has impacted some marine species and altered fundamental ecosystem processes with further effects likely. In terrestrial ecosystems, increased atmospheric CO2 causes enhanced photosynthesis, net primary production, and increased water-use efficiency. Rising CO2 may change vegetation composition and carbon storage, and widespread increases in water use efficiency likely influence terrestrial hydrology and biogeochemical cycling. Consequences for human populations include changes to ecosystem services including cultural activities surrounding land use, agricultural or harvesting practices. Commercial fish stocks have been impacted and crop production yields have been changed as a result of rising CO2. Ocean and terrestrial effects are contingent on, and feedback to, global climate change. Warming and modified precipitation regimes impact a variety of ecosystem processes, and the combination of climate change and rising CO2 contributes considerable uncertainty to forecasting carbon sink capacity in the ocean and on land. Disturbance regime (fire and insects) are modified with increased temperatures. Fire frequency and intensity increase, and insect lifecycles are disrupted as temperatures move out of historical norms. Changes in disturbance patterns modulate the effects of rising CO2 depending on ecosystem type, disturbance frequency, and magnitude of events. We discuss management strategies designed to limit the rise of atmospheric CO2 and reduce uncertainty in forecasts of decadal and centennial feedbacks of rising atmospheric CO2 on carbon storage.

Published
2016

44. Global Carbon Budget 2016

Author

Quéré, Corinne Le, Andrew, Robbie M, Canadell, Josep G, Sitch, Stephen, Korsbakken, Jan Ivar, Peters, Glen P, Manning, Andrew C, Boden, Thomas A, Tans, Pieter P, Houghton, Richard A, Keeling, Ralph F, Alin, Simone, Andrews, Oliver D, Anthoni, Peter, Barbero, Leticia, Bopp, Laurent, Chevallier, Frédéric, Chini, Louise P, Ciais, Philippe, Currie, Kim, Delire, Christine, Doney, Scott C, Friedlingstein, Pierre, Gkritzalis, Thanos, Harris, Ian, Hauck, Judith, Haverd, Vanessa, Hoppema, Mario, Goldewijk, Kees Klein, Jain, Atul K, Kato, Etsushi, Koertzinger, Arne, Landschuetzer, Peter, Lefèvre, Nathalie, Lenton, Andrew, Lienert, Sebastian, Lombardozzi, Danica, Melton, Joe R, Metzl, Nicolas, Millero, Frank, Monteiro, Pedro M. S, Munro, David R, Nabel, Julia E. M. S, Nakaoka, Shin-ichiro, O’Brien, Kevin, Olsen, Are, Omar, Abdirahman M, Ono, Tsuneo, Pierrot, Denis, Poulter, Benjamin, Roedenbeck, Christian, Salisbury, Joe, Schuster, Ute, Schwinger, Joerg, Séférian, Roland, Skjelvan, Ingunn, Stocker, Benjamin D, Sutton, Adrienne J, Takahashi, Taro, Tian, Hanqin, Tilbrook, Bronte, van der Laan-Luijkx, Ingrid T, van der Werf, Guido R, Viovy, Nicolas, Walker, Anthony P, Wiltshire, Andrew J, and Zaehle, Soenke

Subjects
Meteorology And Climatology
Abstract

Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere the global carbon budget is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates and consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models. We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as +/- 1(sigma), reflecting the current capacity to characterize the annual estimates of each component of the global carbon budget. For the last decade available (2006-2015), EFF was 9.3+/-0.5 GtC/yr, ELUC 1.0+/-0.5 GtC/yr,GATM 4.5+/-0.1 GtC/yr, SOCEAN 2.6+/-0.5 GtC/yr, and SLAND 3.1+/-0.9 GtC/yr. For year 2015 alone, the growth in EFF was approximately zero and emissions remained at 9.9+/-0.5 GtC/yr, showing a slowdown in growth of these emissions compared to the average growth of 1.8/yr that took place during 2006-2015.Also, for 2015, ELUC was 1.3+/-0.5 GtC/yr, GATM was 6.3+/-0.2 GtC/yr, SOCEAN was 3.0+/-0.5 GtC/yr, and SLAND was 1.9+/-0.9 GtC/yr. GATM was higher in 2015 compared to the past decade (2006-2015), reflecting a smaller SLAND for that year. The global atmospheric CO2 concentration reached 399.4+/-0.1 ppm averaged over 2015. For 2016, preliminary data indicate the continuation of low growth in EFF with +0.2% (range of -1.0 to +1.8% ) based on national emissions projections for China and USA, and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. In spite of the low growth of EFF in 2016, the growth rate in atmospheric CO2 concentration is expected to be relatively high because of the persistence of the smaller residual terrestrial sink (SLAND) in response to El Nino conditions of 2015-2016. From this projection of EFF and assumed constant ELUC for 2016, cumulative emissions of CO2 will reach 565+/-55 GtC (2075+/-205 GtCO2) for 1870-2016, about 75% from EFF and 25% from ELUC. This living data update documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this data set.

Published
2016
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46. Ocean biogeochemical signatures of the North Pacific Blob

Author

Mogen, Samuel, primary, Lovenduski, Nicole Suzanne, additional, Dallman, Allysa R., additional, Gregor, Luke, additional, Sutton, Adrienne J., additional, Bograd, Steven J., additional, Cordero Quiros, Nathali, additional, Di Lorenzo, Emanuele, additional, Hazen, Elliott L., additional, Jacox, Michael G, additional, Pozo Buil, Mercedes, additional, and Yeager, Stephen, additional

Published
2021
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47. Global Carbon Budget 2021

Author

Friedlingstein, Pierre, primary, Jones, Matthew W., additional, O'Sullivan, Michael, additional, Andrew, Robbie M., additional, Bakker, Dorothee C. E., additional, Hauck, Judith, additional, Le Quéré, Corinne, additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Rob B., additional, Alin, Simone R., additional, Anthoni, Peter, additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Bopp, Laurent, additional, Chau, Thi T. T., additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Currie, Kim I., additional, Decharme, Bertrand, additional, Djeutchouang, Laique, additional, Dou, Xinyu, additional, Evans, Wiley, additional, Feely, Richard A., additional, Feng, Liang, additional, Gasser, Thomas, additional, Gilfillan, Dennis, additional, Gkritzalis, Thanos, additional, Grassi, Giacomo, additional, Gregor, Luke, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Luijkx, Ingrid T., additional, Jain, Atul K., additional, Jones, Steve D., additional, Kato, Etsushi, additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Körtzinger, Arne, additional, Landschützer, Peter, additional, Lauvset, Siv K., additional, Lefèvre, Nathalie, additional, Lienert, Sebastian, additional, Liu, Junjie, additional, Marland, Gregg, additional, McGuire, Patrick C., additional, Melton, Joe R., additional, Munro, David R., additional, Nabel, Julia E. M. S., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, Ono, Tsuneo, additional, Pierrot, Denis, additional, Poulter, Benjamin, additional, Rehder, Gregor, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Schwingshackl, Clemens, additional, Séférian, Roland, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Tanhua, Toste, additional, Tans, Pieter P., additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tubiello, Francesco, additional, van der Werf, Guido, additional, Vuichard, Nicolas, additional, Wada, Chisato, additional, Wanninkhof, Rik, additional, Watson, Andrew, additional, Willis, David, additional, Wiltshire, Andrew J., additional, Yuan, Wenping, additional, Yue, Chao, additional, Yue, Xu, additional, Zaehle, Sönke, additional, and Zeng, Jiye, additional

Published
2021
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