Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1801-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-1801-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
01 Apr 2021
Development and technical paper |
| 01 Apr 2021
| 01 Apr 2021
Improved representation of river runoff in Estimating the Circulation and Climate of the Ocean Version 4 (ECCOv4) simulations: implementation, evaluation, and impacts to coastal plume regions
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology & Institution of South China Sea Ecology and Environmental Engineering, Chinese Academy of Science, Guangzhou, China
Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou, China
Guangdong Key Laboratory of Ocean Remote Sensing, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China
Dimitris Menemenlis
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Huijie Xue
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology & Institution of South China Sea Ecology and Environmental Engineering, Chinese Academy of Science, Guangzhou, China
Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou, China
Hong Zhang
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Dustin Carroll
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Moss Landing Marine Laboratories, San José State University, Moss Landing, California, USA
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology & Institution of South China Sea Ecology and Environmental Engineering, Chinese Academy of Science, Guangzhou, China
Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou, China
College of Marine Science, University of Chinese Academy of Sciences, Guangzhou, China
State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China
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Cited
13 citations as recorded by crossref.
- Influence of Grid Resolution and Assimilation Window Size on Simulating Storm Surge Levels X. Bi et al. https://doi.org/10.3390/jmse12071233
- Influence of river discharge on circulation and tidal process in the Java Sea, Indonesia H. Ramadhan et al. https://doi.org/10.1088/1755-1315/944/1/012068
- Analysis of the distribution of sound velocity profiles and sound propagation laws based on a global high-resolution ocean reanalysis product S. Tao et al. https://doi.org/10.1007/s13131-024-2388-6
- 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
- Attribution of Space‐Time Variability in Global‐Ocean Dissolved Inorganic Carbon D. Carroll et al. https://doi.org/10.1029/2021GB007162
- The representation of rivers in operational ocean forecasting systems: a review P. Matte et al. https://doi.org/10.5194/sp-5-opsr-19-2025
- Implementing riverine biogeochemical inputs in ECCO-Darwin: a sensitivity analysis of terrestrial fluxes in a data-assimilative global ocean biogeochemistry model R. Savelli et al. https://doi.org/10.5194/gmd-19-867-2026
- High-Resolution Modeling of the Kara Sea Dynamics and Thermohaline Structure and Assessment of the Impact of Various River Runoff Forcing in the Model S. Martyanov https://doi.org/10.1134/S0097807823700525
- Salinity trends and mass balances in the Mediterranean Sea: revisit the role of air-sea freshwater fluxes and oceanic exchange C. Liu et al. https://doi.org/10.5194/os-21-2069-2025
- Sea surface salinity short-term variability in the tropics F. Bingham & S. Brodnitz https://doi.org/10.5194/os-17-1437-2021
- Influence of Nonseasonal River Discharge on Sea Surface Salinity and Height H. Chandanpurkar et al. https://doi.org/10.1029/2021MS002715
- Simulated Sea Surface Salinity Data from a 1/48° Ocean Model F. Bingham et al. https://doi.org/10.1038/s41597-024-03314-z
- Evaluation of MITgcm-based ocean reanalyses for the Southern Ocean Y. Nakayama et al. https://doi.org/10.5194/gmd-17-8613-2024
13 citations as recorded by crossref.
- Influence of Grid Resolution and Assimilation Window Size on Simulating Storm Surge Levels X. Bi et al. https://doi.org/10.3390/jmse12071233
- Influence of river discharge on circulation and tidal process in the Java Sea, Indonesia H. Ramadhan et al. https://doi.org/10.1088/1755-1315/944/1/012068
- Analysis of the distribution of sound velocity profiles and sound propagation laws based on a global high-resolution ocean reanalysis product S. Tao et al. https://doi.org/10.1007/s13131-024-2388-6
- 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
- Attribution of Space‐Time Variability in Global‐Ocean Dissolved Inorganic Carbon D. Carroll et al. https://doi.org/10.1029/2021GB007162
- The representation of rivers in operational ocean forecasting systems: a review P. Matte et al. https://doi.org/10.5194/sp-5-opsr-19-2025
- Implementing riverine biogeochemical inputs in ECCO-Darwin: a sensitivity analysis of terrestrial fluxes in a data-assimilative global ocean biogeochemistry model R. Savelli et al. https://doi.org/10.5194/gmd-19-867-2026
- High-Resolution Modeling of the Kara Sea Dynamics and Thermohaline Structure and Assessment of the Impact of Various River Runoff Forcing in the Model S. Martyanov https://doi.org/10.1134/S0097807823700525
- Salinity trends and mass balances in the Mediterranean Sea: revisit the role of air-sea freshwater fluxes and oceanic exchange C. Liu et al. https://doi.org/10.5194/os-21-2069-2025
- Sea surface salinity short-term variability in the tropics F. Bingham & S. Brodnitz https://doi.org/10.5194/os-17-1437-2021
- Influence of Nonseasonal River Discharge on Sea Surface Salinity and Height H. Chandanpurkar et al. https://doi.org/10.1029/2021MS002715
- Simulated Sea Surface Salinity Data from a 1/48° Ocean Model F. Bingham et al. https://doi.org/10.1038/s41597-024-03314-z
- Evaluation of MITgcm-based ocean reanalyses for the Southern Ocean Y. Nakayama et al. https://doi.org/10.5194/gmd-17-8613-2024
Saved (final revised paper)
Latest update: 18 Oct 2026
Short summary
Simulation of coastal plume regions was improved in global ECCOv4 with a series of sensitivity tests. We find modeled SSS is closer to SMAP when using daily point-source runoff as well as increasing the resolution from coarse to intermediate. The plume characteristics, freshwater transport, and critical water properties are modified greatly. But this may not happen with a further increase to high resolution. The study will advance the seamless modeling of land–ocean–atmosphere feedback in ESMs.
Simulation of coastal plume regions was improved in global ECCOv4 with a series of sensitivity...
