Articles | Volume 28, issue 9
https://doi.org/10.5194/hess-28-1999-2024
© 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-28-1999-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 May 2024
Research article |
| 07 May 2024
| 07 May 2024
Evaluation of reanalysis soil moisture products using cosmic ray neutron sensor observations across the globe
Yanchen Zheng
CORRESPONDING AUTHOR
School of Geographical Sciences, University of Bristol, Bristol, UK
School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, UK
Gemma Coxon
School of Geographical Sciences, University of Bristol, Bristol, UK
Ross Woods
School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, UK
Daniel Power
School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, UK
Miguel Angel Rico-Ramirez
School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, UK
David McJannet
CSIRO Environment, EcoSciences Precinct, Dutton Park, Queensland, Australia
Rafael Rosolem
School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, UK
Cabot Institute for the Environment, University of Bristol, Bristol, UK
Jianzhu Li
State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, China
Ping Feng
State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, China
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- SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data Y. Liu et al. https://doi.org/10.1038/s41597-025-05511-w
- Comparative analysis of satellite and reanalysis data with ground‐based observations in Northern Ghana J. Katsekpor et al. https://doi.org/10.1002/met.2226
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- Spatiotemporal Analysis of Soil Moisture Variability and Precipitation Response Across Soil Texture Classes in East Kazakhstan D. Chernykh et al. https://doi.org/10.3390/land14061136
- Long-term spatiotemporal analysis of variation in soil moisture over Iran M. Darand & R. Tashan https://doi.org/10.1016/j.jastp.2026.106727
- Improved flash drought forecasting and attribution: A spatial-temporal causality-aware deep learning approach S. Tang et al. https://doi.org/10.1016/j.jhydrol.2026.134945
- 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
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- Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model E. Fatima et al. https://doi.org/10.5194/hess-28-5419-2024
- Enhancing soil moisture retrievals from cosmic ray neutron sensor in a peri-urban agricultural landscape M. Noč et al. https://doi.org/10.1016/j.agwat.2026.110564
- Beyond Helium-3: Instruments for Cosmic-Ray Neutron Sensing Based on Boron-10 Neutron Detectors M. Köhli & J. Weimar https://doi.org/10.3390/instruments10020031
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- Prominent impacts of snow–hydrological processes on near-surface temperature variability over Western Siberia N. Ganeshi et al. https://doi.org/10.1016/j.jhydrol.2025.133187
- Dynamic development of global contiguous flash droughts: from an event-based spatiotemporal perspective D. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133934
- Multi-source fusion and machine learning downscaling of soil moisture in the arid and semi-arid regions of China Z. Liu et al. https://doi.org/10.1016/j.jaridenv.2026.105609
Saved (final revised paper)
Latest update: 10 Sep 2026
Short summary
Reanalysis soil moisture products are a vital basis for hydrological and environmental research. Previous product evaluation is limited by the scale difference (point and grid scale). This paper adopts cosmic ray neutron sensor observations, a novel technique that provides root-zone soil moisture at field scale. In this paper, global harmonized CRNS observations were used to assess products. ERA5-Land, SMAPL4, CFSv2, CRA40 and GLEAM show better performance than MERRA2, GLDAS-Noah and JRA55.
Reanalysis soil moisture products are a vital basis for hydrological and environmental research....
