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Comment on 'Examining the variation of soil moisture from cosmic-ray neutron probes footprint: experimental results from a COSMOS-UK site' by Howells, O.D., Petropoulos, G.P., et al., Environ Earth Sci 82, 41 (2023).
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- Environmental Earth Sciences, 2023, v. 82, n. 20, p. 1, doi. 10.1007/s12665-023-11186-6
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Improving Calibration and Validation of Cosmic-Ray Neutron Sensors in the Light of Spatial Sensitivity - Theory and Evidence.
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- Hydrology & Earth System Sciences Discussions, 2017, p. 1, doi. 10.5194/hess-2017-148
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On the effect of the uncertainty in soil properties on the simulated hydrological state and fluxes at different spatio-temporal scales.
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- Hydrology & Earth System Sciences Discussions, 2016, p. 1, doi. 10.5194/hess-2016-657
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- Article
High-Resolution Virtual Catchment Simulations of the Subsurface-Land Surface-Atmosphere System.
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- Hydrology & Earth System Sciences Discussions, 2016, p. 1, doi. 10.5194/hess-2016-557
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- Article
A Novel Cosmic-Ray Neutron Sensor for Soil Moisture Estimation over Large Areas.
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- Agriculture; Basel, 2019, v. 9, n. 9, p. 202, doi. 10.3390/agriculture9090202
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What Did Really Improve Our Mesoscale Hydrological Model? A Multidimensional Analysis Based on Real Observations.
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- Water Resources Research, 2018, v. 54, n. 11, p. 8594, doi. 10.1029/2018WR022813
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- Article
Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing.
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- Water Resources Research, 2017, v. 53, n. 5, p. 3615, doi. 10.1002/2016WR020234
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Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation.
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- Geoscientific Instrumentation, Methods & Data Systems (GI), 2024, v. 13, n. 1, p. 9, doi. 10.5194/gi-13-9-2024
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Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity.
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- Hydrology & Earth System Sciences, 2017, v. 21, n. 10, p. 5009, doi. 10.5194/hess-21-5009-2017
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Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales.
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- Hydrology & Earth System Sciences, 2017, v. 21, n. 5, p. 2301, doi. 10.5194/hess-21-2301-2017
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- Article
Comparison of Soil Water Content from SCATSAR-SWI and Cosmic Ray Neutron Sensing at Four Agricultural Sites in Northern Italy: Insights from Spatial Variability and Representativeness.
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- Remote Sensing, 2024, v. 16, n. 18, p. 3384, doi. 10.3390/rs16183384
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Assessment of Irrigation Scheduling Systems in Germany: Survey of the Users and Comparative Study.
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- Irrigation & Drainage, 2019, v. 68, n. 3, p. 520, doi. 10.1002/ird.2337
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Cross-Scale Vulnerability Assessment for Smallholder Farming: A Case Study from the Northeast of Brazil.
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- Sustainability (2071-1050), 2020, v. 12, n. 9, p. 3787, doi. 10.3390/su12093787
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Testing a new correction factor to account for the vertical sensitivity of cosmic-ray neutron sensing for soil moisture estimation.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Impact of Parameter Variability and Grid Coarsening on Ensemble Simulations of a Coupled Land Surface-Subsurface Model with Implications for Data Assimilation.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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An alternative cosmic-ray neutron detector for hydrological observations: from limitations to emerging opportunities.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Testing soil moisture data assimilation in a 3D subsurface hillslope model.
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- Geophysical Research Abstracts, 2018, v. 20, p. 9251
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Fully coupled catchment simulations as surrogate realities for data assimilation.
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- Geophysical Research Abstracts, 2018, v. 20, p. 8821
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A view on developments and increasing hydrological applications of cosmic-ray neutron sensing.
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- Geophysical Research Abstracts, 2018, v. 20, p. 8524
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Ensemble simulations of the coupled atmosphere-land-surface-subsurface system for cross-compartmental data assimilation.
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- Geophysical Research Abstracts, 2018, v. 20, p. 5710
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Cosmic-ray neutron sensing of snow water equivalent in heterogeneous alpine terrain.
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- Geophysical Research Abstracts, 2018, v. 20, p. 5183
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New on-line tool for crop water footprint assessments for farmers worldwide - Cool Farm Tool Water.
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- Geophysical Research Abstracts, 2018, v. 20, p. 4804
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Presentation and discussion of the high-resolution atmosphere–land-surface–subsurface simulation dataset of the simulated Neckar catchment for the period 2007–2015.
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- Earth System Science Data, 2021, v. 13, n. 9, p. 4437, doi. 10.5194/essd-13-4437-2021
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A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany.
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- Earth System Science Data, 2020, v. 12, n. 3, p. 2289, doi. 10.5194/essd-12-2289-2020
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Dynamic groundwater recharge simulations based on cosmic‐ray neutron sensing in a tropical wet experimental basin.
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- Vadose Zone Journal, 2021, v. 20, n. 4, p. 1, doi. 10.1002/vzj2.20145
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A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture.
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- Vadose Zone Journal, 2020, v. 19, n. 1, p. 1, doi. 10.1002/vzj2.20083
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A dense network of cosmic-ray neutron sensors for soil moisture observation in a pre-alpine headwater catchment in Germany.
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- Earth System Science Data Discussions, 2020, p. 1, doi. 10.5194/essd-2020-48
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Presentation and discussion of the high resolution atmosphere-land surface subsurface simulation dataset of the virtual Neckar catchment for the period 2007-2015.
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- Earth System Science Data Discussions, 2020, p. 1, doi. 10.5194/essd-2020-24
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Assimilation of Groundwater Level and Soil Moisture Data in an Integrated Land Surface‐Subsurface Model for Southwestern Germany.
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- Water Resources Research, 2022, v. 58, n. 6, p. 1, doi. 10.1029/2021WR031549
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How to Tailor My Process‐Based Hydrological Model? Dynamic Identifiability Analysis of Flexible Model Structures.
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- Water Resources Research, 2020, v. 56, n. 8, p. 1, doi. 10.1029/2020WR028042
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A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies.
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- Water Resources Research, 2019, v. 55, n. 2, p. 990, doi. 10.1029/2018WR023941
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