40 citations as recorded by crossref.

1. Soil moisture at local scale: Measurements and simulations N. Romano 10.1016/j.jhydrol.2014.01.026
2. 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. 10.5194/hess-20-329-2016
3. Incorporation of globally available datasets into the roving cosmic-ray neutron probe method for estimating field-scale soil water content W. Avery et al. 10.5194/hess-20-3859-2016
4. An empirical vegetation correction for soil water content quantification using cosmic ray probes R. Baatz et al. 10.1002/2014WR016443
5. Assimilation of Cosmic‐Ray Neutron Counts for the Estimation of Soil Ice Content on the Eastern Tibetan Plateau S. Mwangi et al. 10.1029/2019JD031529
6. 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. 10.5194/hessd-11-9027-2014
7. Field-scale moisture estimates using COSMOS sensors: A validation study with temporary networks and Leaf-Area-Indices E. Coopersmith et al. 10.1016/j.jhydrol.2014.07.060
8. A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing G. Baroni & S. Oswald 10.1016/j.jhydrol.2015.03.053
9. Simultaneous soil moisture and properties estimation for a drip irrigated field by assimilating cosmic-ray neutron intensity X. Han et al. 10.1016/j.jhydrol.2016.05.050
10. SWAT-Based Hydrological Data Assimilation System (SWAT-HDAS): Description and Case Application to River Basin-Scale Hydrological Predictions Y. Zhang et al. 10.1002/2017MS001144
11. Investigating temporal field sampling strategies for site-specific calibration of three soil moisture – neutron intensity parameterisation methods J. Iwema et al. 10.5194/hessd-12-2349-2015
12. DasPy 1.0 – the Open Source Multivariate Land Data Assimilation Framework in combination with the Community Land Model 4.5 X. Han et al. 10.5194/gmdd-8-7395-2015
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. 10.5194/hess-19-615-2015
14. Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing P. Schattan et al. 10.1002/2016WR020234
15. Improving Soil Moisture Profile Prediction With the Particle Filter-Markov Chain Monte Carlo Method H. Yan et al. 10.1109/TGRS.2015.2432067
16. Use of cosmic ray neutron sensors for soil moisture monitoring in forests I. Heidbüchel et al. 10.5194/hessd-12-9813-2015
17. Estimating field scale root zone soil moisture using the cosmic-ray neutron probe A. Peterson et al. 10.5194/hessd-12-12789-2015
18. Monitoring and Modeling the Terrestrial System from Pores to Catchments: The Transregional Collaborative Research Center on Patterns in the Soil–Vegetation–Atmosphere System C. Simmer et al. 10.1175/BAMS-D-13-00134.1
19. Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling H. Yan & H. Moradkhani 10.1016/j.advwatres.2016.06.002
20. Translating aboveground cosmic-ray neutron intensity to high-frequency soil moisture profiles at sub-kilometer scale R. Rosolem et al. 10.5194/hess-18-4363-2014
21. Comparison of Different Machine Learning Approaches for Monthly Satellite-Based Soil Moisture Downscaling over Northeast China Y. Liu et al. 10.3390/rs10010031
22. Changes of Soil Moisture from Multiple Sources during 1988–2010 in the Yellow River Basin, China D. Lou et al. 10.1155/2018/1950529
23. On the Information Content of Cosmic‐Ray Neutron Data in the Inverse Estimation of Soil Hydraulic Properties G. Brunetti et al. 10.2136/vzj2018.06.0123
24. Assimilation of near-surface cosmic-ray neutrons improves summertime soil moisture profile estimates at three distinct biomes in the USA R. Rosolem et al. 10.5194/hessd-11-5515-2014
25. Large-Scale Boron-Lined Neutron Detection Systems as a 3He Alternative for Cosmic Ray Neutron Sensing J. Weimar et al. 10.3389/frwa.2020.00016
26. Calibration of a catchment scale cosmic-ray probe network: A comparison of three parameterization methods R. Baatz et al. 10.1016/j.jhydrol.2014.02.026
27. Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration J. Iwema et al. 10.5194/hess-21-2843-2017
28. Application and accuracy of cosmic-ray neutron probes in three soil textures on the Loess Plateau, China Q. Wang et al. 10.1016/j.jhydrol.2018.11.073
29. A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture L. Scheiffele et al. 10.1002/vzj2.20083
30. Estimating field-scale root zone soil moisture using the cosmic-ray neutron probe A. Peterson et al. 10.5194/hess-20-1373-2016
31. Status and Perspectives on the Cosmic-Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications M. Andreasen et al. 10.2136/vzj2017.04.0086
32. Footprint characteristics revised for field‐scale soil moisture monitoring with cosmic‐ray neutrons M. Köhli et al. 10.1002/2015WR017169
33. Emerging methods for noninvasive sensing of soil moisture dynamics from field to catchment scale: a review H. Bogena et al. 10.1002/wat2.1097
34. Use of cosmic-ray neutron sensors for soil moisture monitoring in forests I. Heidbüchel et al. 10.5194/hess-20-1269-2016
35. 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. 10.1016/j.jhydrol.2016.02.038
36. Investigating temporal field sampling strategies for site-specific calibration of three soil moisture–neutron intensity parameterisation methods J. Iwema et al. 10.5194/hess-19-3203-2015
37. Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment L. Renzullo et al. 10.1016/j.jhydrol.2014.08.008
38. The Effect of Atmospheric Water Vapor on Neutron Count in the Cosmic-Ray Soil Moisture Observing System R. Rosolem et al. 10.1175/JHM-D-12-0120.1
39. Soil Moisture Estimation Using Cosmic-Ray Soil Moisture Sensing at Heterogeneous Farmland . Xujun Han et al. 10.1109/LGRS.2014.2314535
40. Analysing Seasonal Differences between a Soil Water Balance Model and in Situ Soil Moisture Measurementsat Nine Locations Across Europe B. Kurnik et al. 10.1007/s10666-013-9377-z