Articles | Volume 30, issue 1
https://doi.org/10.5194/hess-30-1-2026
© Author(s) 2026. 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-30-1-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jan 2026
Research article |
| 05 Jan 2026
| 05 Jan 2026
Comparison of ensemble assimilation methods in a hydrological model dedicated to agricultural best management practices
Emilie Rouzies
INRAE, RiverLy, Lyon-Villeurbanne, 69625 Villeurbanne Cedex, France
Claire Lauvernet
INRAE, RiverLy, Lyon-Villeurbanne, 69625 Villeurbanne Cedex, France
Univ. Grenoble-Alpes, Inria, CNRS, Grenoble-INP, LJK, 38000 Grenoble, France
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The recent development of the a new meteorological dataset providing precipitation and temperature over France – FYRE Climate – has been transformed to streamflow time series over 1871–2012 through the used of a hydrological model. This led to the creation of the daily hydrological reconstructions called HyDRE and HyDRE. These two reconstructions are evaluated allow to better understand the variability of past hydrology over France.
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Short summary
Hydrological models are useful for assessing the impact of landscape organization for effective mitigation strategies. However, using these models requires reducing uncertainties in their results, which can be achieved through model–data fusion. We integrate satellite surface moisture images into a water and pesticide transfer model. We compare three methods, studying their performance and exploring various scenarios. This study helps improve decision support in water quality management.
Hydrological models are useful for assessing the impact of landscape organization for effective...
