41 citations as recorded by crossref.

1. Extension of cosmic-ray neutron probe measurement depth for improving field scale root-zone soil moisture estimation by coupling with representative in-situ sensors H. Nguyen et al. https://doi.org/10.1016/j.jhydrol.2019.02.018
2. Comparison of Soil Water Estimates From Cosmic-Ray Neutron and Capacity Sensors in a Semi-arid Pine Forest: Which Is Able to Better Assess the Role of Environmental Conditions and Thinning? M. González-Sanchis et al. https://doi.org/10.3389/frwa.2020.552508
3. 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
4. Cosmic-ray neutron sensors provide scale-appropriate soil water content and vegetation observations for eddy covariance stations in agricultural ecosystems C. Brogi et al. https://doi.org/10.1016/j.agrformet.2025.110731
5. Evaluation of reanalysis soil moisture products using cosmic ray neutron sensor observations across the globe Y. Zheng et al. https://doi.org/10.5194/hess-28-1999-2024
6. Estimating field-scale root zone soil moisture using the cosmic-ray neutron probe A. Peterson et al. https://doi.org/10.5194/hess-20-1373-2016
7. Incorporation of globally available datasets into the roving cosmic-ray neutron probe method for estimating field-scale soil water content W. Avery et al. https://doi.org/10.5194/hess-20-3859-2016
8. Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes C. Montzka et al. https://doi.org/10.3390/rs9020103
9. An empirical vegetation correction for soil water content quantification using cosmic ray probes R. Baatz et al. https://doi.org/10.1002/2014WR016443
10. Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5 A. Fox et al. https://doi.org/10.1029/2018MS001362
11. Sensing Area‐Average Snow Water Equivalent with Cosmic‐Ray Neutrons: The Influence of Fractional Snow Cover P. Schattan et al. https://doi.org/10.1029/2019WR025647
12. The Cosmic‐ray Soil Moisture Observation System (Cosmos) for Estimating the Crop Water Requirement: New Approach R. Ragab et al. https://doi.org/10.1002/ird.2152
13. Correction of systematic model forcing bias of CLM using assimilation of cosmic-ray Neutrons and land surface temperature: a study in the Heihe Catchment, China X. Han et al. https://doi.org/10.5194/hess-19-615-2015
14. How Critical Is the Assimilation Frequency of Water Content Measurements for Obtaining Soil Hydraulic Parameters with Data Assimilation? J. Valdes-Abellan et al. https://doi.org/10.2136/vzj2018.07.0142
15. Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data L. Strebel et al. https://doi.org/10.5194/hess-28-1001-2024
16. Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling H. Yan & H. Moradkhani https://doi.org/10.1016/j.advwatres.2016.06.002
17. Soil water content determination with cosmic-ray neutron sensor: Correcting aboveground hydrogen effects with thermal/fast neutron ratio Z. Tian et al. https://doi.org/10.1016/j.jhydrol.2016.07.004
18. Spatial simulation of soil‐water content in dry and wet conditions in a hectometer‐scale degraded alpine meadow X. Zhu et al. https://doi.org/10.1002/ldr.3222
19. Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications M. Andreasen et al. https://doi.org/10.2136/vzj2017.04.0086
20. Application and accuracy of cosmic-ray neutron probes in three soil textures on the Loess Plateau, China Q. Wang et al. https://doi.org/10.1016/j.jhydrol.2018.11.073
21. Calibration and Validation of the Cosmic Ray Neutron Rover for Soil Water Mapping within Two South African Land Classes T. Vather et al. https://doi.org/10.3390/hydrology6030065
22. Investigating temporal field sampling strategies for site-specific calibration of three soil moisture–neutron intensity parameterisation methods J. Iwema et al. https://doi.org/10.5194/hess-19-3203-2015
23. Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration J. Iwema et al. https://doi.org/10.5194/hess-21-2843-2017
24. Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. https://doi.org/10.5194/hess-25-1617-2021
25. Effects of Biomass and Soil Water Content Distribution on Cosmic Ray Neutron Probe Measurement Q. Wang et al. https://doi.org/10.3390/w15152766
26. Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data D. Power et al. https://doi.org/10.5194/gmd-14-7287-2021
27. Dynamic groundwater recharge simulations based on cosmic‐ray neutron sensing in a tropical wet experimental basin L. Barbosa et al. https://doi.org/10.1002/vzj2.20145
28. Intercomparison of cosmic-ray neutron sensors and water balance monitoring in an urban environment M. Schrön et al. https://doi.org/10.5194/gi-7-83-2018
29. Accuracy and precision of the cosmic‐ray neutron sensor for soil moisture estimation at humid environments J. Iwema et al. https://doi.org/10.1002/hyp.14419
30. Practical Data Products From Cosmic-Ray Neutron Sensing for Hydrological Applications T. Franz et al. https://doi.org/10.3389/frwa.2020.00009
31. Evaluation of SMAP Soil Moisture Relative to Five Other Satellite Products Using the Climate Reference Network Measurements Over USA S. Stillman & X. Zeng https://doi.org/10.1109/TGRS.2018.2835316
32. Simultaneous soil moisture and properties estimation for a drip irrigated field by assimilating cosmic-ray neutron intensity X. Han et al. https://doi.org/10.1016/j.jhydrol.2016.05.050
33. Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing G. Baroni et al. https://doi.org/10.1016/j.jhydrol.2018.07.053
34. The Applicability of the Cosmic Ray Neutron Sensor to Simultaneously Monitor Soil Water Content and Biomass in an Acacia mearnsii Forest T. Vather et al. https://doi.org/10.3390/hydrology7030048
35. Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale? F. Li et al. https://doi.org/10.1029/2023WR035056
36. Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction R. Baatz et al. https://doi.org/10.5194/hess-21-2509-2017
37. Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model A. Patil et al. https://doi.org/10.3389/frwa.2021.729592
38. Application of cosmic-ray neutron sensing to monitor soil water content in an alpine meadow ecosystem on the northern Tibetan Plateau X. Zhu et al. https://doi.org/10.1016/j.jhydrol.2016.02.038
39. Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors C. Brogi et al. https://doi.org/10.3390/s23052378
40. Closing the water balance with cosmic-ray soil moisture measurements and assessing their relation to evapotranspiration in two semiarid watersheds A. Schreiner-McGraw et al. https://doi.org/10.5194/hess-20-329-2016
41. A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture L. Scheiffele et al. https://doi.org/10.1002/vzj2.20083