Articles | Volume 15, issue 5
https://doi.org/10.5194/essd-15-2223-2023
© Author(s) 2023. 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-15-2223-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
01 Jun 2023
Data description paper |
| 01 Jun 2023
| 01 Jun 2023
RC4USCoast: a river chemistry dataset for regional ocean model applications in the US East Coast, Gulf of Mexico, and US West Coast
Northern Gulf Institute, Mississippi State University, Starkville,
Mississippi, USA
NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami,
Florida, USA
Sang-Ki Lee
NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami,
Florida, USA
Charles A. Stock
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA
Andrew C. Ross
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA
Laure Resplandy
Department of Geosciences, High Meadows Environmental Institute,
Princeton University, Princeton, New Jersey, USA
Samantha A. Siedlecki
Department of Marine Sciences, University of Connecticut, Groton,
Connecticut, USA
Filippos Tagklis
NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami,
Florida, USA
Cooperative Institute for Marine and Atmospheric Studies, University of Miami, Miami, Florida, USA
Joseph E. Salisbury
Ocean Process Analysis Laboratory, University of New Hampshire,
Durham, New Hampshire, USA
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Weiyi Tang, Bess B. Ward, Michael Beman, Laura Bristow, Darren Clark, Sarah Fawcett, Claudia Frey, François Fripiat, Gerhard J. Herndl, Mhlangabezi Mdutyana, Fabien Paulot, Xuefeng Peng, Alyson E. Santoro, Takuhei Shiozaki, Eva Sintes, Charles Stock, Xin Sun, Xianhui S. Wan, Min N. Xu, and Yao Zhang
Earth Syst. Sci. Data, 15, 5039–5077, https://doi.org/10.5194/essd-15-5039-2023, https://doi.org/10.5194/essd-15-5039-2023, 2023
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Nitrification and nitrifiers play an important role in marine nitrogen and carbon cycles by converting ammonium to nitrite and nitrate. Nitrification could affect microbial community structure, marine productivity, and the production of nitrous oxide – a powerful greenhouse gas. We introduce the newly constructed database of nitrification and nitrifiers in the marine water column and guide future research efforts in field observations and model development of nitrification.
Alban Planchat, Lester Kwiatkowski, Laurent Bopp, Olivier Torres, James R. Christian, Momme Butenschön, Tomas Lovato, Roland Séférian, Matthew A. Chamberlain, Olivier Aumont, Michio Watanabe, Akitomo Yamamoto, Andrew Yool, Tatiana Ilyina, Hiroyuki Tsujino, Kristen M. Krumhardt, Jörg Schwinger, Jerry Tjiputra, John P. Dunne, and Charles Stock
Biogeosciences, 20, 1195–1257, https://doi.org/10.5194/bg-20-1195-2023, https://doi.org/10.5194/bg-20-1195-2023, 2023
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Ocean alkalinity is critical to the uptake of atmospheric carbon and acidification in surface waters. We review the representation of alkalinity and the associated calcium carbonate cycle in Earth system models. While many parameterizations remain present in the latest generation of models, there is a general improvement in the simulated alkalinity distribution. This improvement is related to an increase in the export of biotic calcium carbonate, which closer resembles observations.
Abigale M. Wyatt, Laure Resplandy, and Adrian Marchetti
Biogeosciences, 19, 5689–5705, https://doi.org/10.5194/bg-19-5689-2022, https://doi.org/10.5194/bg-19-5689-2022, 2022
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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
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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.
Alizée Roobaert, Laure Resplandy, Goulven G. Laruelle, Enhui Liao, and Pierre Regnier
Ocean Sci., 18, 67–88, https://doi.org/10.5194/os-18-67-2022, https://doi.org/10.5194/os-18-67-2022, 2022
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This study uses a global oceanic model to investigate the seasonal dynamics of the sea surface partial pressure of CO2 (pCO2) in the global coastal ocean. Our method quantifies the respective effects of thermal changes, biological activity, ocean circulation and freshwater fluxes on the temporal pCO2 variations. The performance of our model is also evaluated against a data product derived from observations to identify coastal regions where our approach is most robust.
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
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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.
Samantha A. Siedlecki, Darren Pilcher, Evan M. Howard, Curtis Deutsch, Parker MacCready, Emily L. Norton, Hartmut Frenzel, Jan Newton, Richard A. Feely, Simone R. Alin, and Terrie Klinger
Biogeosciences, 18, 2871–2890, https://doi.org/10.5194/bg-18-2871-2021, https://doi.org/10.5194/bg-18-2871-2021, 2021
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Future ocean conditions can be simulated using projected trends in fossil fuel use paired with Earth system models. Global models generally do not include local processes important to coastal ecosystems. These coastal processes can alter the degree of change projected. Higher-resolution models that include local processes predict modified changes in carbon stressors when compared to changes projected by global models in the California Current System.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Corinne Le Quéré, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone Alin, Luiz E. O. C. Aragão, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Alice Benoit-Cattin, Henry C. Bittig, Laurent Bopp, Selma Bultan, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Wiley Evans, Liesbeth Florentie, Piers M. Forster, Thomas Gasser, Marion Gehlen, Dennis Gilfillan, Thanos Gkritzalis, Luke Gregor, Nicolas Gruber, Ian Harris, Kerstin Hartung, Vanessa Haverd, Richard A. Houghton, Tatiana Ilyina, Atul K. Jain, Emilie Joetzjer, Koji Kadono, Etsushi Kato, Vassilis Kitidis, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Zhu Liu, Danica Lombardozzi, Gregg Marland, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Adam J. P. Smith, Adrienne J. Sutton, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Guido van der Werf, Nicolas Vuichard, Anthony P. Walker, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Xu Yue, and Sönke Zaehle
Earth Syst. Sci. Data, 12, 3269–3340, https://doi.org/10.5194/essd-12-3269-2020, https://doi.org/10.5194/essd-12-3269-2020, 2020
Short summary
Short summary
The Global Carbon Budget 2020 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.
Cited articles
Alexander, R. B., Slack, J. R., Ludtke, A. S., Fitzgerald, K. K., and
Schertz, T. L.: Data from selected US Geological Survey national stream
water quality monitoring networks, Water Resour. Res., 34,
2401–2405, https://doi.org/10.1029/98WR01530, 1998.
Cai, W.-J.: Riverine inorganic carbon flux and rate of biological uptake in
the Mississippi River plume, Geophys. Res. Lett., 30, 1032,
https://doi.org/10.1029/2002GL016312, 2003.
Cai, W. J., Hu, X., Huang, W. J., Murrell, M. C., Lehrter, J. C., Lohrenz, S. E., Chou, W. C., Zhai, W., Hollibaugh, J. T., Wang, Y., Zhao, P., Guo X., Gundersen, K., Dai, M., and Gong G. C.: Acidification of subsurface coastal waters enhanced by eutrophication, Nat. Geosci., 4, 766–770, https://doi.org/10.1038/ngeo1297, 2011.
Fennel, K., Hetland, R., Feng, Y., and DiMarco, S.: A coupled physical-biological model of the Northern Gulf of Mexico shelf: model description, validation and analysis of phytoplankton variability, Biogeosciences, 8, 1881–1899, https://doi.org/10.5194/bg-8-1881-2011, 2011.
Fennel, K., Hu, J., Laurent, A., Marta-Almeida, M., and Hetland, R.:
Sensitivity of hypoxia predictions for the northern Gulf of Mexico to
sediment oxygen consumption and model nesting, J. Geophys. Res.-Ocean, 118,
990–1002, https://doi.org/10.1002/jgrc.20077, 2013.
Gomez, F. A., Wanninkhof, R., Barbero, L., and Lee, S.-K.: Increasing river
alkalinity slows ocean acidification in the northern Gulf of Mexico,
Geophys. Res. Lett., 48, e2021GL096521, https://doi.org/10.1029/2021GL096521, 2021.
Gomez, F. A., Lee, S.-K., Stock, C. A., Ross, A. C., Resplandy, L.,
Siedlecki, S. A., Tagklis, F., and Salisbury, J. E.: RC4USCoast: A river
chemistry dataset for regional ocean model application in the U.S. East,
Gulf of Mexico, and West Coasts from 1950-01-01 to 2022-12-31 (NCEI
Accession 0260455), NOAA National Centers for Environmental Information [data set],
https://doi.org/10.25921/9jfw-ph50, 2022.
Guo, X., Cai, W. J., Zhai, W., Dai, M., Wang, Y., and Chen, B: Seasonal
variations in the inorganic carbon system in the Pearl River (Zhujiang)
estuary, Cont. Shelf Res., 28, 1424–1434,
https://doi.org/10.1016/j.csr.2007.07.011, 2008.
Hood, R. R., Shenk, G. W., Dixon, R. L., Smith, S. M., Ball, W. P., Bash, J.
O., Batiuk, R., Boomer, K., Brady, D. C., Cerco, C., Claggett, P., Mutsert,
K., Easton, Z. M., Elmore, A. J., Friedrichs, M. A. M., Harris, L. A., Ihde,
T. F., Lacher, L., Li, L., Linker, L. C., Miller, A., Moriarty, J., Noe, G.
B., Onyullo, G. E., Rose, K., Skalak, K., Tian, R., Veith, T. L., Wainger,
L., Weller, D., and Zhang, Y. J.: The Chesapeake Bay program modeling
system: Overview and recommendations for future development, Ecol.
Model., 456, 109635, https://doi.org/10.1016/j.ecolmodel.2021.109635,
2021.
Hunt, C. W., Salisbury, J. E., and Vandemark, D.: Contribution of non-carbonate anions to total alkalinity and overestimation of pCO2 in New England and New Brunswick rivers, Biogeosciences, 8, 3069–3076, https://doi.org/10.5194/bg-8-3069-2011, 2011.
Joesoef, A., Kirchman, D. L., Sommerfield, C. K., and Cai, W.-J.: Seasonal variability of the inorganic carbon system in a large coastal plain estuary, Biogeosciences, 14, 4949–4963, https://doi.org/10.5194/bg-14-4949-2017, 2017.
Kearney, K. A., Bograd, S. J., Drenkard, E., Gomez, F. A., Haltuch, M., Hermann, A. J., Jacox, M. G., Kaplan, I. C., Koenigstein, S., Luo, J. Y., and Masi, M.: Using global-scale earth system models for regional fisheries applications, Front. Mar. Sci, 8, 622206, https://doi.org/10.3389/fmars.2021.622206, 2021.
Mayorga, E., Seitzinger, S. P., Harrison, J. A., Dumont, E., Beusen, A. H.,
Bouwman, A. F., Fekete, B. M., Kroeze, C., and Van Drecht, G.: Global
nutrient export from WaterSheds 2 (NEWS 2): model development and
implementation, Environ. Modell. Softw., 25, 837–853,
https://doi.org/10.1016/j.envsoft.2010.01.007, 2010.
Lacroix, F., Ilyina, T., Mathis, M., Laruelle, G. G., and Regnier, P.:
Historical increases in land-derived nutrient inputs may alleviate effects
of a changing physical climate on the oceanic carbon cycle, Glob. Change
Biol., 27, 5491–5513, https://doi.org/10.1111/gcb.15822, 2021.
Laurent, A., Fennel, K., Cai, W. J., Huang, W. J., Barbero, L., and Wanninkhof, R.: Eutrophication- induced acidification of coastal waters in the northern Gulf of Mexico: Insights into origin and processes from a coupled physical-biogeochemical model, Geophys. Res. Lett., 44, 946–956, https://doi.org/10.1002/2016GL071881, 2017.
Lee, M., Shevliakova, E., Stock, C. A., Malyshev, S., and Milly, P. C.:
Prominence of the tropics in the recent rise of global nitrogen pollution,
Nat. Commun., 10, 1437,,
https://doi.org/10.1038/s41467-019-09468-4, 2019.
Li, M., Peng, C., Wang, M., Xue, W., Zhang, K., Wang, K., Shi, G., and Zhu,
Q.: The carbon flux of global rivers: a re-evaluation of amount and spatial
patterns, Ecol. Indic., 80, 40–51,
https://doi.org/10.1016/j.ecolind.2017.04.049, 2017.
Li, M., Peng, C., Zhou, X., Yang, Y., Guo, Y., Shi, G., and Zhu, Q.:
Modeling global riverine DOC flux dynamics from 1951 to 2015, J.
Adv. Model. Earth Sy., 11, 514–530,
https://doi.org/10.1029/2018MS001363, 2019.
Liu, X., Stock, C. A., Dunne, J. P., Lee, M., Shevliakova, E., Malyshev, S.,
and Milly, P. C.: Simulated Global Coastal Ecosystem Responses to a
Half-Century Increase in River Nitrogen Loads, Geophys. Res. Lett.,
48, e2021GL094367, https://doi.org/10.1029/2021GL094367, 2021.
Moore-Maley, B. L., Ianson, D., and Allen, S. E.: The sensitivity of estuarine aragonite saturation state and pH to the carbonate chemistry of a freshet-dominated river, Biogeosciences, 15, 3743–3760, https://doi.org/10.5194/bg-15-3743-2018, 2018.
Rabouille, C., Conley, D. J., Dai, M. H., Cai, W. J., Chen, C. T. A.:
Lansard, B., Green, R., Yin, K., Harrison, P. J., Dagg, M., and McKee, B.:
Comparison of hypoxia among four river-dominated ocean margins: The
Changjiang (Yangtze), Mississippi, Pearl, and Rhône rivers, Cont. Shelf Res., 28, 1527–1537,
https://doi.org/10.1016/j.csr.2008.01.020, 2008.
Regnier, P., Resplandy, L., Najjar, R. G., and Ciais, P.: The land-to-ocean
loops of the global carbon cycle, Nature, 603, 401–410,
https://doi.org/10.1038/s41586-021-04339-9, 2022.
Siedlecki, S. A., Pilcher, D. J., Hermann, A. J., Coyle, K., and Mathis, J.:
The importance of freshwater to spatial variability of aragonite saturation
state in the Gulf of Alaska, J. Geophys. Res.- Oceans,
122, 8482–8502, https://doi.org/10.1002/2017JC012791, 2017.
Siedlecki, S. A., Salisbury, J., Gledhill, D. K., Bastidas, C., Meseck, S.,
McGarry, K., Hunt, C. W., Alexander, M., Lavoie, D., Wang, Z. A., and Scott,
J.: Projecting ocean acidification impacts for the Gulf of Maine to 2050:
New tools and expectations, Elem. Sci. Anth., 9, 00062,
https://doi.org/10.1525/elementa.2020.00062, 2021.
Stets, E. G. and Striegl, R. G.: Carbon export by rivers draining the
conterminous United States, Inl. Waters, 2, 177–184,
https://doi.org/10.5268/IW-2.4.510, 2012.
van Heuven, S. M. A. C., Pierrot, D., Rae, J. W. B., Lewis E., and Wallace D. W. R.: MATLAB program developed for CO2 system calculations, ORNL/CDIAC-105b Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, US Department of Energy, Oak Ridge, TN, US [code], 2011.
Xie, Y., Lin, L., Xiao, W., Yu, X., Lan, W., and Huang, B.: Striking
seasonal pattern of primary production in the river-dominated ocean margin
of the northern South China Sea (NSCS-RiOMar) revealed by new field and
remotely sensed data, Prog. Oceanogr., 189, 102470,
https://doi.org/10.1016/j.pocean.2020.102470, 2020.
Short summary
We present a river chemistry and discharge dataset for 140 rivers in the United States, which integrates information from the Water Quality Database of the US Geological Survey (USGS), the USGS’s Surface-Water Monthly Statistics for the Nation, and the U.S. Army Corps of Engineers. This dataset includes dissolved inorganic carbon and alkalinity, two key properties to characterize the carbonate system, as well as nutrient concentrations, such as nitrate, phosphate, and silica.
We present a river chemistry and discharge dataset for 140 rivers in the United States, which...
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