Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2843-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-2843-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Jun 2017
Research article |
| 09 Jun 2017
Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration
Joost Iwema
CORRESPONDING AUTHOR
Department of Civil Engineering, University of Bristol, Bristol, UK
Rafael Rosolem
Department of Civil Engineering, University of Bristol, Bristol, UK
Cabot Institute, University of Bristol, Bristol, UK
Mostaquimur Rahman
Department of Civil Engineering, University of Bristol, Bristol, UK
Eleanor Blyth
Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK
Thorsten Wagener
Department of Civil Engineering, University of Bristol, Bristol, UK
Cabot Institute, University of Bristol, Bristol, UK
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Cited
13 citations as recorded by crossref.
- Towards disentangling heterogeneous soil moisture patterns in cosmic-ray neutron sensor footprints D. Rasche et al. 10.5194/hess-25-6547-2021
- High-resolution drought simulations and comparison to soil moisture observations in Germany F. Boeing et al. 10.5194/hess-26-5137-2022
- Opportunities and challenges in using catchment-scale storage estimates from cosmic ray neutron sensors for rainfall-runoff modelling K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2020.124878
- The effects of air pollution sources / sensor array configurations on the likelihood of obtaining accurate source term estimations S. Kendler et al. 10.1016/j.atmosenv.2020.117754
- Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing G. Baroni et al. 10.1016/j.jhydrol.2018.07.053
- Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management C. Finkenbiner et al. 10.1007/s11119-018-9582-5
- 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
- Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement A. Badiee et al. 10.1029/2020WR028478
- Choice of Pedotransfer Functions Matters when Simulating Soil Water Balance Fluxes L. Weihermüller et al. 10.1029/2020MS002404
- 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
- Combining static and portable Cosmic ray neutron sensor data to assess catchment scale heterogeneity in soil water storage and their integrated role in catchment runoff response K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2021.126659
- Parameter calibration and stomatal conductance formulation comparison for boreal forests with adaptive population importance sampler in the land surface model JSBACH J. Mäkelä et al. 10.5194/gmd-12-4075-2019
- 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. 10.5194/gmd-14-7287-2021
13 citations as recorded by crossref.
- Towards disentangling heterogeneous soil moisture patterns in cosmic-ray neutron sensor footprints D. Rasche et al. 10.5194/hess-25-6547-2021
- High-resolution drought simulations and comparison to soil moisture observations in Germany F. Boeing et al. 10.5194/hess-26-5137-2022
- Opportunities and challenges in using catchment-scale storage estimates from cosmic ray neutron sensors for rainfall-runoff modelling K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2020.124878
- The effects of air pollution sources / sensor array configurations on the likelihood of obtaining accurate source term estimations S. Kendler et al. 10.1016/j.atmosenv.2020.117754
- Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing G. Baroni et al. 10.1016/j.jhydrol.2018.07.053
- Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management C. Finkenbiner et al. 10.1007/s11119-018-9582-5
- 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
- Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement A. Badiee et al. 10.1029/2020WR028478
- Choice of Pedotransfer Functions Matters when Simulating Soil Water Balance Fluxes L. Weihermüller et al. 10.1029/2020MS002404
- 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
- Combining static and portable Cosmic ray neutron sensor data to assess catchment scale heterogeneity in soil water storage and their integrated role in catchment runoff response K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2021.126659
- Parameter calibration and stomatal conductance formulation comparison for boreal forests with adaptive population importance sampler in the land surface model JSBACH J. Mäkelä et al. 10.5194/gmd-12-4075-2019
- 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. 10.5194/gmd-14-7287-2021
Latest update: 19 Apr 2024
Short summary
We investigated whether the simulation of water flux from the land surface to the atmosphere (using the Joint UK Land Environment Simulator model) could be improved by replacing traditional soil moisture sensor data with data from the more novel Cosmic-Ray Neutron soil moisture sensor. Despite observed differences between the two types of soil moisture measurement data, we found no substantial differences in improvement in water flux estimation, based on multiple calibration experiments.
We investigated whether the simulation of water flux from the land surface to the atmosphere...
