13 citations as recorded by crossref.

1. Modeling inorganic carbon dynamics in the Seine River continuum in France A. Marescaux et al. https://doi.org/10.5194/hess-24-2379-2020
2. Hydromorphology of coastal zone and structure of watershed agro-food system are main determinants of coastal eutrophication J. Garnier et al. https://doi.org/10.1088/1748-9326/abc777
3. Considering coasts: Adapting terrestrial models to characterize coastal wetland ecosystems T. O'Meara et al. https://doi.org/10.1016/j.ecolmodel.2021.109561
4. Stable isotopes reduce parameter uncertainty of an estuarine carbon cycling model S. Adiyanti et al. https://doi.org/10.1016/j.envsoft.2016.02.011
5. Air–water CO2 evasion from US East Coast estuaries G. Laruelle et al. https://doi.org/10.5194/bg-14-2441-2017
6. Anthropogenic impacts on estuarine oxygen dynamics: A model based evaluation I. Holzwarth & K. Wirtz https://doi.org/10.1016/j.ecss.2018.01.020
7. Nutrient transport and transformation in macrotidal estuaries of the French Atlantic coast: a modeling approach using the Carbon-Generic Estuarine Model X. Wei et al. https://doi.org/10.5194/bg-19-931-2022
8. A Modeling Approach for Addressing Sensitivity and Uncertainty of Estuarine Greenhouse Gas (CO2 and CH4) Dynamics P. Huang et al. https://doi.org/10.1029/2021JG006722
9. Biogeochemical functioning of an urbanized tropical estuary: Implementing the generic C-GEM (reactive transport) model A. Nguyen et al. https://doi.org/10.1016/j.scitotenv.2021.147261
10. Regional carbon and CO2 budgets of North Sea tidal estuaries C. Volta et al. https://doi.org/10.1016/j.ecss.2016.04.007
11. Benthic diatoms modify riverine silicon export to a marine zone in a hypertidal estuarine environment H. Wallington et al. https://doi.org/10.1007/s10533-022-00997-7
12. Linking biogeochemistry to hydro-geometrical variability in tidal estuaries: a generic modeling approach C. Volta et al. https://doi.org/10.5194/hess-20-991-2016
13. Carbon Dynamics Along the Seine River Network: Insight From a Coupled Estuarine/River Modeling Approach G. Laruelle et al. https://doi.org/10.3389/fmars.2019.00216