Articles | Volume 28, issue 24
https://doi.org/10.5194/hess-28-5419-2024
© Author(s) 2024. 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-28-5419-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model
Eshrat Fatima
CORRESPONDING AUTHOR
Dep. Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Dep. Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Sabine Attinger
Dep. Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Maren Kaluza
Dep. Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Oldrich Rakovec
Dep. Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague-Suchdol 16500, Czech Republic
Corinna Rebmann
Dep. Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Institute of Meteorology and Climate Research, Tropospheric Research (IMKTRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Rafael Rosolem
Faculty of Science and Engineering, University of Bristol, Bristol, UK
Cabot Institute for the Environment, University of Bristol, Bristol, UK
Sascha E. Oswald
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Luis Samaniego
Dep. Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Steffen Zacharias
Dep. Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research GmbH, Leipzig, Germany
Dep. Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research GmbH, Leipzig, Germany
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Cited
7 citations as recorded by crossref.
- Global daily 9 km remotely sensed soil moisture (2015–2025) with microwave radiative transfer-guided learning S. Feng et al. https://doi.org/10.1038/s41597-026-06721-6
- Application of DSSAT model to evaluate the effects of tillage methods on soil water balance during drought period A. Irkiso et al. https://doi.org/10.1007/s40808-025-02334-x
- On the value of mobile cosmic-ray neutron measurements for spatio-temporal soil moisture simulations E. Fatima et al. https://doi.org/10.3389/frwa.2025.1630051
- Soil moisture monitoring with cosmogenic neutrons: an asset for the development and assessment of soil moisture products in the state of Brandenburg (Germany) M. Heistermann et al. https://doi.org/10.5194/nhess-26-465-2026
- The Potsdam Soil Moisture Observatory: high-coverage reference observations at kilometer scale P. Grosse et al. https://doi.org/10.5194/essd-18-1703-2026
- Evaluation of satellite soil moisture products (AMSR2, SMAP L3/L4) across mainland China using in situ data (2020–2024) L. Chao et al. https://doi.org/10.1016/j.agwat.2025.110040
- Advancements in soil moisture estimation through integration of remote sensing and artificial intelligence techniques H. P et al. https://doi.org/10.1016/j.scitotenv.2025.180503
7 citations as recorded by crossref.
- Global daily 9 km remotely sensed soil moisture (2015–2025) with microwave radiative transfer-guided learning S. Feng et al. https://doi.org/10.1038/s41597-026-06721-6
- Application of DSSAT model to evaluate the effects of tillage methods on soil water balance during drought period A. Irkiso et al. https://doi.org/10.1007/s40808-025-02334-x
- On the value of mobile cosmic-ray neutron measurements for spatio-temporal soil moisture simulations E. Fatima et al. https://doi.org/10.3389/frwa.2025.1630051
- Soil moisture monitoring with cosmogenic neutrons: an asset for the development and assessment of soil moisture products in the state of Brandenburg (Germany) M. Heistermann et al. https://doi.org/10.5194/nhess-26-465-2026
- The Potsdam Soil Moisture Observatory: high-coverage reference observations at kilometer scale P. Grosse et al. https://doi.org/10.5194/essd-18-1703-2026
- Evaluation of satellite soil moisture products (AMSR2, SMAP L3/L4) across mainland China using in situ data (2020–2024) L. Chao et al. https://doi.org/10.1016/j.agwat.2025.110040
- Advancements in soil moisture estimation through integration of remote sensing and artificial intelligence techniques H. P et al. https://doi.org/10.1016/j.scitotenv.2025.180503
Saved (final revised paper)
Latest update: 19 Jul 2026
Short summary
This study establishes a framework to incorporate cosmic-ray neutron measurements into the mesoscale Hydrological Model (mHM). We evaluate different approaches to estimate neutron counts within the mHM using the Desilets equation, with uniformly and non-uniformly weighted average soil moisture, and the physically based code COSMIC. The data improved not only soil moisture simulations but also the parameterisation of evapotranspiration in the model.
This study establishes a framework to incorporate cosmic-ray neutron measurements into the...