Articles | Volume 15, issue 7
https://doi.org/10.5194/essd-15-2879-2023
© 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-15-2879-2023
© 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
| 
11 Jul 2023
Data description paper |
| 11 Jul 2023
| 11 Jul 2023
GRiMeDB: the Global River Methane Database of concentrations and fluxes
Center for Limnology, University of Wisconsin-Madison, Madison, WI 53706, USA
Luke C. Loken
Center for Limnology, University of Wisconsin-Madison, Madison, WI 53706, USA
U.S. Geological Survey, Upper Midwest Science Center, Madison, WI 53726, USA
Nora J. Casson
Department of Geography, University of Winnipeg, Winnipeg, MB R3B 2E9, Canada
Samantha K. Oliver
U.S. Geological Survey, Upper Midwest Science Center, Madison, WI 53726, USA
Ryan A. Sponseller
Department of Ecology and Environmental Science, Umeå University, Umeå, 90736, Sweden
Marcus B. Wallin
Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, 75007, Sweden
Liwei Zhang
Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, 100871, Beijing, China
Gerard Rocher-Ros
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, 90183 Umeå, Sweden
Integrative Freshwater Ecology Group, Centre for Advanced Studies of Blanes (CEAB-CSIC), 17300 Girona, Spain
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Short summary
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Short summary
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-233, https://doi.org/10.5194/essd-2025-233, 2025
Preprint under review for ESSD
Short summary
Short summary
Rivers and streams play a key role in how carbon moves through the environment, but we know little about this in Australia. To help close this gap, we compile the first national database of carbon data from rivers and streams, combining past studies, government records, and new data. The data show where and when carbon was measured and reveal major gaps in long-term monitoring. This new resource will help scientists understand carbon and water systems across Australia.
Marielle Saunois, Adrien Martinez, Benjamin Poulter, Zhen Zhang, Peter A. Raymond, Pierre Regnier, Josep G. Canadell, Robert B. Jackson, Prabir K. Patra, Philippe Bousquet, Philippe Ciais, Edward J. Dlugokencky, Xin Lan, George H. Allen, David Bastviken, David J. Beerling, Dmitry A. Belikov, Donald R. Blake, Simona Castaldi, Monica Crippa, Bridget R. Deemer, Fraser Dennison, Giuseppe Etiope, Nicola Gedney, Lena Höglund-Isaksson, Meredith A. Holgerson, Peter O. Hopcroft, Gustaf Hugelius, Akihiko Ito, Atul K. Jain, Rajesh Janardanan, Matthew S. Johnson, Thomas Kleinen, Paul B. Krummel, Ronny Lauerwald, Tingting Li, Xiangyu Liu, Kyle C. McDonald, Joe R. Melton, Jens Mühle, Jurek Müller, Fabiola Murguia-Flores, Yosuke Niwa, Sergio Noce, Shufen Pan, Robert J. Parker, Changhui Peng, Michel Ramonet, William J. Riley, Gerard Rocher-Ros, Judith A. Rosentreter, Motoki Sasakawa, Arjo Segers, Steven J. Smith, Emily H. Stanley, Joël Thanwerdas, Hanqin Tian, Aki Tsuruta, Francesco N. Tubiello, Thomas S. Weber, Guido R. van der Werf, Douglas E. J. Worthy, Yi Xi, Yukio Yoshida, Wenxin Zhang, Bo Zheng, Qing Zhu, Qiuan Zhu, and Qianlai Zhuang
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Short summary
Short summary
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EGUsphere, https://doi.org/10.5194/egusphere-2025-1253, https://doi.org/10.5194/egusphere-2025-1253, 2025
Short summary
Short summary
Over 4.5 years, we studied 53 storms to assess stream metabolism’s resistance to change and resilience (recover capacity). Resistance was low, as storms easily disrupted metabolism, with energy consumption rising in larger events. Resilience decreased with storm size, prolonging recovery, but stabilized after 6 days. While storms temporarily boost activity, larger ones hinder recovery. Our findings highlight how changing storm patterns could alter stream health and their role in nutrient cycles.
Lucía Gutiérrez-Loza, Erik Nilsson, Marcus B. Wallin, Erik Sahlée, and Anna Rutgersson
Biogeosciences, 19, 5645–5665, https://doi.org/10.5194/bg-19-5645-2022, https://doi.org/10.5194/bg-19-5645-2022, 2022
Short summary
Short summary
The exchange of CO2 between the ocean and the atmosphere is an essential aspect of the global carbon cycle and is highly relevant for the Earth's climate. In this study, we used 9 years of in situ measurements to evaluate the temporal variability in the air–sea CO2 fluxes in the Baltic Sea. Furthermore, using this long record, we assessed the effect of atmospheric and water-side mechanisms controlling the efficiency of the air–sea CO2 exchange under different wind-speed conditions.
Jens Daniel Müller, Bernd Schneider, Ulf Gräwe, Peer Fietzek, Marcus Bo Wallin, Anna Rutgersson, Norbert Wasmund, Siegfried Krüger, and Gregor Rehder
Biogeosciences, 18, 4889–4917, https://doi.org/10.5194/bg-18-4889-2021, https://doi.org/10.5194/bg-18-4889-2021, 2021
Short summary
Short summary
Based on profiling pCO2 measurements from a field campaign, we quantify the biomass production of a cyanobacteria bloom in the Baltic Sea, the export of which would foster deep water deoxygenation. We further demonstrate how this biomass production can be accurately reconstructed from long-term surface measurements made on cargo vessels in combination with modelled temperature profiles. This approach enables a better understanding of a severe concern for the Baltic’s good environmental status.
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Short summary
The Global River Methane Database (GRiMeDB) presents CH4 concentrations and fluxes for flowing waters and concurrent measures of CO2, N2O, and several physicochemical variables, plus information about sample locations and methods used to measure gas fluxes. GRiMeDB is intended to increase opportunities to understand variation in fluvial CH4, test hypotheses related to greenhouse gas dynamics, and reduce uncertainty in future estimates of gas emissions from world streams and rivers.
The Global River Methane Database (GRiMeDB) presents CH4 concentrations and fluxes for flowing...
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