Articles | Volume 26, issue 2
https://doi.org/10.5194/hess-26-279-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-279-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jan 2022
Research article |
| 24 Jan 2022
| 24 Jan 2022
Diagnostic evaluation of river discharge into the Arctic Ocean and its impact on oceanic volume transports
Susanna Winkelbauer
CORRESPONDING AUTHOR
Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria
Michael Mayer
Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria
European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
Vanessa Seitner
Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria
Ervin Zsoter
European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
Leopold Haimberger
Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria
Viewed
Total article views: 7,027 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jun 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 5,015 | 1,839 | 173 | 7,027 | 238 | 256 |
- HTML: 5,015
- PDF: 1,839
- XML: 173
- Total: 7,027
- BibTeX: 238
- EndNote: 256
Total article views: 5,643 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,355 | 1,145 | 143 | 5,643 | 213 | 241 |
- HTML: 4,355
- PDF: 1,145
- XML: 143
- Total: 5,643
- BibTeX: 213
- EndNote: 241
Total article views: 1,384 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jun 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 660 | 694 | 30 | 1,384 | 25 | 15 |
- HTML: 660
- PDF: 694
- XML: 30
- Total: 1,384
- BibTeX: 25
- EndNote: 15
Viewed (geographical distribution)
Total article views: 7,027 (including HTML, PDF, and XML)
Thereof 6,658 with geography defined
and 369 with unknown origin.
Total article views: 5,643 (including HTML, PDF, and XML)
Thereof 5,322 with geography defined
and 321 with unknown origin.
Total article views: 1,384 (including HTML, PDF, and XML)
Thereof 1,336 with geography defined
and 48 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
15 citations as recorded by crossref.
- Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product M. Sánchez-Urrea et al. https://doi.org/10.3389/frsen.2026.1768049
- Variations of suspended particulate matter concentrations of the Mackenzie River plume (Beaufort Sea, Arctic Ocean) over the last two decades A. Tarasenko et al. https://doi.org/10.1016/j.marpolbul.2023.115619
- Generation of High-Resolution Gridded Runoff Product for the Republic of Korea Sub-Basins from Seasonal Merging of Global Reanalysis Datasets W. Sunwoo et al. https://doi.org/10.3390/w15213741
- Arctic Ocean Boundary Exchanges: A Review S. Bacon et al. https://doi.org/10.5670/oceanog.2022.133
- Open Hydroclimatic Data and Iterative Machine Learning for River Discharge Forecasting in Babahoyo, Ecuador: Benchmarking, Uncertainty, and Operational Limits Without In Situ Validation R. Licapa-Redolfo et al. https://doi.org/10.3390/atmos17080808
- Effect of tides on river water behavior over the eastern shelf seas of China L. Lin et al. https://doi.org/10.5194/hess-26-5207-2022
- Unravelling the potential of global streamflow reanalysis in characterizing local flow regime T. Zhao et al. https://doi.org/10.1016/j.scitotenv.2022.156125
- A Machine Learning-Reconstructed Dataset of River Discharge, Temperature, and Heat Flux into the Arctic Ocean Z. Wang et al. https://doi.org/10.1038/s41597-025-05582-9
- Three decades of high-Arctic river monitoring revealed no trend in runoff and a regime shift in glacial lake outburst floods D. Binder et al. https://doi.org/10.1016/j.ejrh.2026.103651
- A satellite-based approach for estimating runoff and river discharge in the Pan-Arctic region from 2003 to 2022 F. Leopardi et al. https://doi.org/10.1016/j.rse.2026.115353
- Increasing Freshwater Fluxes from the Greenland Ice Sheet Observed from Space B. Wouters & I. Sasgen https://doi.org/10.5670/oceanog.2022.125
- Assessing the Regional Accuracy of Arctic Satellite Sea Surface Salinity: Insights From Reanalyses and In Situ Observations M. Sánchez-Urrea et al. https://doi.org/10.1109/JSTARS.2026.3654597
- Validation of key Arctic energy and water budget components in CMIP6 S. Winkelbauer et al. https://doi.org/10.1007/s00382-024-07105-5
- Recent variations in oceanic transports across the Greenland–Scotland Ridge M. Mayer et al. https://doi.org/10.5194/sp-1-osr7-14-2023
- Key link between iron and the size structure of three major mesoplanktonic groups in the upper ocean M. Dugenne et al. https://doi.org/10.1038/s41467-026-75355-4
15 citations as recorded by crossref.
- Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product M. Sánchez-Urrea et al. https://doi.org/10.3389/frsen.2026.1768049
- Variations of suspended particulate matter concentrations of the Mackenzie River plume (Beaufort Sea, Arctic Ocean) over the last two decades A. Tarasenko et al. https://doi.org/10.1016/j.marpolbul.2023.115619
- Generation of High-Resolution Gridded Runoff Product for the Republic of Korea Sub-Basins from Seasonal Merging of Global Reanalysis Datasets W. Sunwoo et al. https://doi.org/10.3390/w15213741
- Arctic Ocean Boundary Exchanges: A Review S. Bacon et al. https://doi.org/10.5670/oceanog.2022.133
- Open Hydroclimatic Data and Iterative Machine Learning for River Discharge Forecasting in Babahoyo, Ecuador: Benchmarking, Uncertainty, and Operational Limits Without In Situ Validation R. Licapa-Redolfo et al. https://doi.org/10.3390/atmos17080808
- Effect of tides on river water behavior over the eastern shelf seas of China L. Lin et al. https://doi.org/10.5194/hess-26-5207-2022
- Unravelling the potential of global streamflow reanalysis in characterizing local flow regime T. Zhao et al. https://doi.org/10.1016/j.scitotenv.2022.156125
- A Machine Learning-Reconstructed Dataset of River Discharge, Temperature, and Heat Flux into the Arctic Ocean Z. Wang et al. https://doi.org/10.1038/s41597-025-05582-9
- Three decades of high-Arctic river monitoring revealed no trend in runoff and a regime shift in glacial lake outburst floods D. Binder et al. https://doi.org/10.1016/j.ejrh.2026.103651
- A satellite-based approach for estimating runoff and river discharge in the Pan-Arctic region from 2003 to 2022 F. Leopardi et al. https://doi.org/10.1016/j.rse.2026.115353
- Increasing Freshwater Fluxes from the Greenland Ice Sheet Observed from Space B. Wouters & I. Sasgen https://doi.org/10.5670/oceanog.2022.125
- Assessing the Regional Accuracy of Arctic Satellite Sea Surface Salinity: Insights From Reanalyses and In Situ Observations M. Sánchez-Urrea et al. https://doi.org/10.1109/JSTARS.2026.3654597
- Validation of key Arctic energy and water budget components in CMIP6 S. Winkelbauer et al. https://doi.org/10.1007/s00382-024-07105-5
- Recent variations in oceanic transports across the Greenland–Scotland Ridge M. Mayer et al. https://doi.org/10.5194/sp-1-osr7-14-2023
- Key link between iron and the size structure of three major mesoplanktonic groups in the upper ocean M. Dugenne et al. https://doi.org/10.1038/s41467-026-75355-4
Saved (final revised paper)
Latest update: 10 Sep 2026
Short summary
We evaluate Arctic river discharge using in situ observations and state-of-the-art reanalyses, inter alia the most recent Global Flood Awareness System (GloFAS) river discharge reanalysis version 3.1. Furthermore, we combine reanalysis data, in situ observations, ocean reanalyses, and satellite data and use a Lagrangian optimization scheme to close the Arctic's volume budget on annual and seasonal scales, resulting in one reliable and up-to-date estimate of every volume budget term.
We evaluate Arctic river discharge using in situ observations and state-of-the-art reanalyses,...
