Articles | Volume 19, issue 4
https://doi.org/10.5194/hess-19-2017-2015
© 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-19-2017-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Apr 2015
Research article |
| 24 Apr 2015
Inter-comparison of energy balance and hydrological models for land surface energy flux estimation over a whole river catchment
R. Guzinski
CORRESPONDING AUTHOR
DHI GRAS, Agern Allé 5, 2970 Hørsholm, Denmark
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
Institute for Sustainable Agriculture (IAS), Spanish Research Council (CSIC), Campus Alameda del Obispo, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
S. Stisen
Geological Survey of Denmark and Greenland, Øster Voldgade 10, 1350 Copenhagen, Denmark
R. Fensholt
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
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Cited
14 citations as recorded by crossref.
- Monitoring and validating spatially and temporally continuous daily evaporation and transpiration at river basin scale L. Song et al. 10.1016/j.rse.2018.10.002
- Evapotranspiration Estimation with Small UAVs in Precision Agriculture H. Niu et al. 10.3390/s20226427
- Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery H. Nieto et al. 10.1007/s00271-018-0585-9
- Estimation of evapotranspiration of temperate grassland based on high-resolution thermal and visible range imagery from unmanned aerial systems C. Brenner et al. 10.1080/01431161.2018.1471550
- Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem A. Nassar et al. 10.3390/rs14020372
- Vegetation Water Use Based on a Thermal and Optical Remote Sensing Model in the Mediterranean Region of Doñana M. Moyano et al. 10.3390/rs10071105
- Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
- Evapotranspiration estimates from an energy-water-balance model calibrated on satellite land surface temperature over the Heihe basin N. Paciolla et al. 10.1016/j.jaridenv.2021.104466
- Integrating remote sensing data in optimization of a national water resources model to improve the spatial pattern performance of evapotranspiration M. Soltani et al. 10.1016/j.jhydrol.2021.127026
- Using expert elicitation to quantify catchment water balances and their uncertainties E. Sebok et al. 10.1002/2015WR018461
- Spatial pattern evaluation of a calibrated national hydrological model – a remote-sensing-based diagnostic approach G. Mendiguren et al. 10.5194/hess-21-5987-2017
- Estimating evaporation with thermal UAV data and two-source energy balance models H. Hoffmann et al. 10.5194/hess-20-697-2016
- Reconstruction of remotely sensed daily evapotranspiration data in cloudy-sky conditions L. Song et al. 10.1016/j.agwat.2021.107000
- Toward a true spatial model evaluation in distributed hydrological modeling: Kappa statistics, Fuzzy theory, and EOF‐analysis benchmarked by the human perception and evaluated against a modeling case study J. Koch et al. 10.1002/2014WR016607
13 citations as recorded by crossref.
- Monitoring and validating spatially and temporally continuous daily evaporation and transpiration at river basin scale L. Song et al. 10.1016/j.rse.2018.10.002
- Evapotranspiration Estimation with Small UAVs in Precision Agriculture H. Niu et al. 10.3390/s20226427
- Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery H. Nieto et al. 10.1007/s00271-018-0585-9
- Estimation of evapotranspiration of temperate grassland based on high-resolution thermal and visible range imagery from unmanned aerial systems C. Brenner et al. 10.1080/01431161.2018.1471550
- Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem A. Nassar et al. 10.3390/rs14020372
- Vegetation Water Use Based on a Thermal and Optical Remote Sensing Model in the Mediterranean Region of Doñana M. Moyano et al. 10.3390/rs10071105
- Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
- Evapotranspiration estimates from an energy-water-balance model calibrated on satellite land surface temperature over the Heihe basin N. Paciolla et al. 10.1016/j.jaridenv.2021.104466
- Integrating remote sensing data in optimization of a national water resources model to improve the spatial pattern performance of evapotranspiration M. Soltani et al. 10.1016/j.jhydrol.2021.127026
- Using expert elicitation to quantify catchment water balances and their uncertainties E. Sebok et al. 10.1002/2015WR018461
- Spatial pattern evaluation of a calibrated national hydrological model – a remote-sensing-based diagnostic approach G. Mendiguren et al. 10.5194/hess-21-5987-2017
- Estimating evaporation with thermal UAV data and two-source energy balance models H. Hoffmann et al. 10.5194/hess-20-697-2016
- Reconstruction of remotely sensed daily evapotranspiration data in cloudy-sky conditions L. Song et al. 10.1016/j.agwat.2021.107000
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Latest update: 04 Nov 2024
Short summary
The study compared evapotranspiration (ET) modelled by two remote sensing models and one hydrological model in a river catchment in Denmark. The results show that the spatial patterns of ET produced by the remote sensing models are more similar to each other than to the fluxes produced by the hydrological model. This indicates potential benefits to the hydrological modelling community from integrating spatial information derived through remote sensing methodology into the hydrological models.
The study compared evapotranspiration (ET) modelled by two remote sensing models and one...
