Articles | Volume 19, issue 1
https://doi.org/10.5194/hess-19-615-2015
© Author(s) 2015. 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-19-615-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Jan 2015
Research article |
| 30 Jan 2015
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
Key Laboratory of Remote Sensing of Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, PR China
Forschungszentrum Jülich, Agrosphere (IBG 3), Leo-Brandt-Strasse, 52425 Jülich, Germany
Centre for High-Performance Scientific Computing in Terrestrial Systems: HPSC TerrSys, Geoverbund ABC/J, Leo-Brandt-Strasse, 52425 Jülich, Germany
H.-J. H. Franssen
Forschungszentrum Jülich, Agrosphere (IBG 3), Leo-Brandt-Strasse, 52425 Jülich, Germany
Centre for High-Performance Scientific Computing in Terrestrial Systems: HPSC TerrSys, Geoverbund ABC/J, Leo-Brandt-Strasse, 52425 Jülich, Germany
R. Rosolem
Department of Civil Engineering, University of Bristol, Bristol BS8 1TR, UK
R. Jin
Key Laboratory of Remote Sensing of Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, PR China
CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, PR China
Key Laboratory of Remote Sensing of Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, PR China
CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, PR China
H. Vereecken
Forschungszentrum Jülich, Agrosphere (IBG 3), Leo-Brandt-Strasse, 52425 Jülich, Germany
Centre for High-Performance Scientific Computing in Terrestrial Systems: HPSC TerrSys, Geoverbund ABC/J, Leo-Brandt-Strasse, 52425 Jülich, Germany
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Cited
24 citations as recorded by crossref.
- Daily time series of river water levels derived from a seasonal linear model using multisource satellite products under uncertainty H. Pham et al. 10.1016/j.jhydrol.2021.126783
- 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. 10.1016/j.jhydrol.2019.02.018
- Footprint radius of a cosmic-ray neutron probe for measuring soil-water content and its spatiotemporal variability in an alpine meadow ecosystem X. Zhu et al. 10.1016/j.jhydrol.2018.01.022
- Estimating field-scale root zone soil moisture using the cosmic-ray neutron probe A. Peterson et al. 10.5194/hess-20-1373-2016
- Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale? F. Li et al. 10.1029/2023WR035056
- Soil moisture background error covariance and data assimilation in a coupled land‐atmosphere model L. Lin et al. 10.1002/2015WR017548
- Water table depth assimilation in integrated terrestrial system models at the larger catchment scale F. Li et al. 10.3389/frwa.2023.1150999
- Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data L. Strebel et al. 10.5194/hess-28-1001-2024
- Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model A. Patil et al. 10.3389/frwa.2021.729592
- 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
- Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations E. Cooper et al. 10.5194/hess-25-2445-2021
- Evaluation of an operational real-time irrigation scheduling scheme for drip irrigated citrus fields in Picassent, Spain D. Li et al. 10.1016/j.agwat.2018.06.022
- Land surface temperature assimilation into a soil moisture-temperature model for retrieving farm-scale root zone soil moisture S. Ahmadi et al. 10.1016/j.geoderma.2022.115923
- Application of temporal stability analysis in depth-scaling estimated soil water content by cosmic-ray neutron probe on the northern Tibetan Plateau X. Zhu et al. 10.1016/j.jhydrol.2017.01.019
- Remote sensing data assimilation A. Nair et al. 10.1080/02626667.2020.1761021
- Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction R. Baatz et al. 10.5194/hess-21-2509-2017
- 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
- One-dimensional models of radiation transfer in heterogeneous canopies: a review, re-evaluation, and improved model B. Bailey et al. 10.5194/gmd-13-4789-2020
- Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement A. Badiee et al. 10.1029/2020WR028478
- 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. 10.3390/hydrology7030048
- 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
- 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
- Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes C. Montzka et al. 10.3390/rs9020103
- 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
23 citations as recorded by crossref.
- Daily time series of river water levels derived from a seasonal linear model using multisource satellite products under uncertainty H. Pham et al. 10.1016/j.jhydrol.2021.126783
- 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. 10.1016/j.jhydrol.2019.02.018
- Footprint radius of a cosmic-ray neutron probe for measuring soil-water content and its spatiotemporal variability in an alpine meadow ecosystem X. Zhu et al. 10.1016/j.jhydrol.2018.01.022
- Estimating field-scale root zone soil moisture using the cosmic-ray neutron probe A. Peterson et al. 10.5194/hess-20-1373-2016
- Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale? F. Li et al. 10.1029/2023WR035056
- Soil moisture background error covariance and data assimilation in a coupled land‐atmosphere model L. Lin et al. 10.1002/2015WR017548
- Water table depth assimilation in integrated terrestrial system models at the larger catchment scale F. Li et al. 10.3389/frwa.2023.1150999
- Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data L. Strebel et al. 10.5194/hess-28-1001-2024
- Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model A. Patil et al. 10.3389/frwa.2021.729592
- 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
- Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations E. Cooper et al. 10.5194/hess-25-2445-2021
- Evaluation of an operational real-time irrigation scheduling scheme for drip irrigated citrus fields in Picassent, Spain D. Li et al. 10.1016/j.agwat.2018.06.022
- Land surface temperature assimilation into a soil moisture-temperature model for retrieving farm-scale root zone soil moisture S. Ahmadi et al. 10.1016/j.geoderma.2022.115923
- Application of temporal stability analysis in depth-scaling estimated soil water content by cosmic-ray neutron probe on the northern Tibetan Plateau X. Zhu et al. 10.1016/j.jhydrol.2017.01.019
- Remote sensing data assimilation A. Nair et al. 10.1080/02626667.2020.1761021
- Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction R. Baatz et al. 10.5194/hess-21-2509-2017
- 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
- One-dimensional models of radiation transfer in heterogeneous canopies: a review, re-evaluation, and improved model B. Bailey et al. 10.5194/gmd-13-4789-2020
- Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement A. Badiee et al. 10.1029/2020WR028478
- 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. 10.3390/hydrology7030048
- 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
- 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
- Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes C. Montzka et al. 10.3390/rs9020103
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
This paper presents the joint assimilation of cosmic-ray neutron counts and land surface temperature with parameter estimation of leaf area index at an irrigated corn field. The results show that the data assimilation can reduce the systematic input errors due to the lack of irrigation data. The estimations of soil moisture, evapotranspiration and leaf area index can be improved in the joint assimilation framework.
This paper presents the joint assimilation of cosmic-ray neutron counts and land surface...
