Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-5987-2017
© 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-21-5987-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Spatial pattern evaluation of a calibrated national hydrological model – a remote-sensing-based diagnostic approach
Department of hydrology, Geological Survey of Denmark and Greenland,
Copenhagen, Denmark
Julian Koch
Department of hydrology, Geological Survey of Denmark and Greenland,
Copenhagen, Denmark
Simon Stisen
Department of hydrology, Geological Survey of Denmark and Greenland,
Copenhagen, Denmark
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- Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic F. Jurečka et al. 10.1016/j.agwat.2021.107064
- Spatial pattern‐based performance evaluation and uncertainty analysis of a distributed hydrological model S. Gaur et al. 10.1002/hyp.14586
- High-resolution Annual Dynamic dataset of Curve Number from 2008 to 2021 over Conterminous United States Q. Wu et al. 10.1038/s41597-024-03044-2
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- Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model M. Demirel et al. 10.5194/hess-22-1299-2018
- The SPAtial EFficiency metric (SPAEF): multiple-component evaluation of spatial patterns for optimization of hydrological models J. Koch et al. 10.5194/gmd-11-1873-2018
- Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement P. Hulsman et al. 10.5194/hess-25-957-2021
- Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model M. Demirel et al. 10.3390/w10091188
- Satellite-Based Evapotranspiration in Hydrological Model Calibration L. Jiang et al. 10.3390/rs12030428
- Understanding the spatial patterns of evapotranspiration estimates from land surface models over China R. Sun et al. 10.1016/j.jhydrol.2021.126021
- 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
- A surrogate modeling method for distributed land surface hydrological models based on deep learning R. Sun et al. 10.1016/j.jhydrol.2023.129944
- Remote Sensing of River Discharge: A Review and a Framing for the Discipline C. Gleason & M. Durand 10.3390/rs12071107
- Effectiveness of introducing crop coefficient and leaf area index to enhance evapotranspiration simulations in hydrologic models D. Birhanu et al. 10.1002/hyp.13464
- Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins J. Gomis-Cebolla et al. 10.1016/j.jhydrol.2022.127569
- Attributing the drivers of runoff decline in the Thaya river basin M. Fischer et al. 10.1016/j.ejrh.2023.101436
- On the Evaluation of Both Spatial and Temporal Performance of Distributed Hydrological Models Using Remote Sensing Products T. Nguyen et al. 10.3390/rs14091959
- Hydrograph separation for tackling equifinality in conceptual hydrological models J. Casado-Rodríguez & M. del Jesus 10.1016/j.jhydrol.2022.127816
- Spatiotemporal variations of water conservation function based on EOF analysis at multi time scales under different ecosystems of Heihe River Basin Q. Wu et al. 10.1016/j.jenvman.2022.116532
- Applicability assessment of the CASCade Two Dimensional SEDiment (CASC2D‐SED) distributed hydrological model for flood forecasting across four typical medium and small watersheds in China L. Chao et al. 10.1111/jfr3.12518
- Using a Groundwater Adjusted Water Balance Approach and Copulas to Evaluate Spatial Patterns and Dependence Structures in Remote Sensing Derived Evapotranspiration Products M. Soltani et al. 10.3390/rs13050853
- Remote Sensing Data and Indices to Support Water Management: A Holistic Post-mining Approach for Lignite Mining in Greece G. Louloudis et al. 10.1007/s10230-023-00960-4
- Numerical Analysis and Calculation for Urban Street Landscape Spatial Pattern F. Bi et al. 10.1155/2022/2183373
- Utility of Remotely Sensed Evapotranspiration Products to Assess an Improved Model Structure S. Lee et al. 10.3390/su13042375
- Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration M. Demirel et al. 10.3390/w11102083
- Comparison of Simulated Spatial Patterns Using Rain Gauge and Polarimetric-Radar-Based Precipitation Data in Catchment Hydrological Modeling X. He et al. 10.1175/JHM-D-17-0235.1
- Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. 10.1029/2019WR026085
- Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
- Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables T. Denager et al. 10.5194/hess-27-2827-2023
3 citations as recorded by crossref.
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- Spatial Patterns in Actual Evapotranspiration Climatologies for Europe S. Stisen et al. 10.3390/rs13122410
- Moving beyond run‐off calibration—Multivariable optimization of a surface–subsurface–atmosphere model S. Stisen et al. 10.1002/hyp.13177
Latest update: 24 Dec 2024
Short summary
The present study is focused on the spatial pattern evaluation of two models and describes the similarities and dissimilarities. It also discusses the factors that generate these patterns and proposes similar new approaches to minimize the differences. The study points towards a new approach in which the spatial component of the hydrological model is also calibrated and taken into account.
The present study is focused on the spatial pattern evaluation of two models and describes the...