Methods for assessment of models
15 May 2018
Methods for assessment of models
| 15 May 2018
The SPAtial EFficiency metric (SPAEF): multiple-component evaluation of spatial patterns for optimization of hydrological models
Julian Koch et al.
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45 citations as recorded by crossref.
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- A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration L. Zhang et al. 10.1016/j.jhydrol.2021.126359
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- Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development 10.1175/JHM-D-21-0071.1
- A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
- Novel measures for summarizing high-resolution forecast performance E. Gilleland 10.5194/ascmo-7-13-2021
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
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45 citations as recorded by crossref.
- Analysis of Spatio-temporal Characteristics and Driving Forces of Air Quality in the Northern Coastal Comprehensive Economic Zone, China Y. Su et al. 10.3390/su12020536
- Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration J. Koch et al. 10.1029/2020WR027413
- Comparison of CMIP6 and CMIP5 model performance in simulating historical precipitation and temperature in Bangladesh: a preliminary study M. Kamruzzaman et al. 10.1007/s00704-021-03691-0
- 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
- Intercomparison of the expected change in the temperature and the precipitation retrieved from CMIP6 and CMIP5 climate projections: A Mediterranean hot spot case, Turkey S. Bağçaci et al. 10.1016/j.atmosres.2021.105576
- Gradient Boosting Estimation of the Leaf Area Index of Apple Orchards in UAV Remote Sensing Z. Liu et al. 10.3390/rs13163263
- Scaling Point‐Scale (Pedo)transfer Functions to Seamless Large‐Domain Parameter Estimates for High‐Resolution Distributed Hydrologic Modeling: An Example for the Rhine River R. Imhoff et al. 10.1029/2019WR026807
- Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model M. Demirel et al. 10.3390/w10091188
- The value of commercial fish size distribution recorded at haul by haul compared to trip by trip K. Plet-Hansen et al. 10.1093/icesjms/fsaa141
- On the contribution of remote sensing-based calibration to model hydrological and hydraulic processes in tropical regions A. Meyer Oliveira et al. 10.1016/j.jhydrol.2021.126184
- 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
- Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al. 10.1002/hyp.14463
- Multi‐Objective Adaptive Surrogate Modeling‐Based Optimization for Distributed Environmental Models Based on Grid Sampling R. Sun et al. 10.1029/2020WR028740
- Future precipitation changes in Egypt under the 1.5 and 2.0 °C global warming goals using CMIP6 multimodel ensemble M. Nashwan & S. Shahid 10.1016/j.atmosres.2021.105908
- Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies M. Dembélé et al. 10.1016/j.advwatres.2020.103667
- The neural basis of predictive pursuit S. Yoo et al. 10.1038/s41593-019-0561-6
- Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al. 10.5194/hess-25-105-2021
- A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration L. Zhang et al. 10.1016/j.jhydrol.2021.126359
- Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics K. Ahmed et al. 10.5194/hess-23-4803-2019
- Behind the scenes of streamflow model performance L. Bouaziz et al. 10.5194/hess-25-1069-2021
- Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics M. Choudhury et al. 10.1016/j.agwat.2021.107007
- Evaluation and comparison of precipitation estimates and hydrologic utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR products in various climate regimes Y. Zhang et al. 10.1016/j.atmosres.2021.105881
- Multicentric tracking of multiple agents by anterior cingulate cortex during pursuit and evasion S. Yoo et al. 10.1038/s41467-021-22195-z
- AIS and VMS Ensemble Can Address Data Gaps on Fisheries for Marine Spatial Planning P. Thoya et al. 10.3390/su13073769
- Strategies to Improve and Evaluate Physics‐Based Hyperresolution Hydrologic Simulations at Regional Basin Scales A. Ko et al. 10.1029/2018WR023521
- In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics Y. Yang et al. 10.1029/2018WR024178
- Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
- OSARIS, the “Open Source SAR Investigation System” for Automatized Parallel InSAR Processing of Sentinel-1 Time Series Data With Special Emphasis on Cryosphere Applications D. Loibl et al. 10.3389/feart.2019.00172
- Spatial Patterns in Actual Evapotranspiration Climatologies for Europe S. Stisen et al. 10.3390/rs13122410
- Uncertainties in Evapotranspiration Estimates over West Africa H. Jung et al. 10.3390/rs11080892
- Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
- Moving beyond run-off calibration-Multivariable optimization of a surface-subsurface-atmosphere model S. Stisen et al. 10.1002/hyp.13177
- Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement P. Hulsman et al. 10.5194/hess-25-957-2021
- Developing a pan-European high-resolution groundwater recharge map – Combining satellite data and national survey data using machine learning G. Martinsen et al. 10.1016/j.scitotenv.2022.153464
- Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration . Demirel et al. 10.3390/w11102083
- Synergistic Calibration of a Hydrological Model Using Discharge and Remotely Sensed Soil Moisture in the Paraná River Basin A. Fleischmann et al. 10.3390/rs13163256
- Air advection induced differences between canopy and surface heat islands W. Wang et al. 10.1016/j.scitotenv.2020.138120
- Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development 10.1175/JHM-D-21-0071.1
- A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
- Novel measures for summarizing high-resolution forecast performance E. Gilleland 10.5194/ascmo-7-13-2021
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
- Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models M. Feigl et al. 10.1029/2020WR027385
- A novel framework for selecting general circulation models based on the spatial patterns of climate M. Nashwan & S. Shahid 10.1002/joc.6465
- Downscaling of AMSR-E Soil Moisture over North China Using Random Forest Regression H. Zhang et al. 10.3390/ijgi11020101
- 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
Latest update: 27 Jun 2022
Short summary
Our work addresses a key challenge in earth system modelling: how to optimally exploit the information contained in satellite remote sensing observations in the calibration of such models. For this we thoroughly test a number of measures that quantify the fit between an observed and a simulated spatial pattern. We acknowledge the difficulties associated with such a comparison and suggest using measures that regard multiple aspects of spatial information, i.e. magnitude and variability.
Our work addresses a key challenge in earth system modelling: how to optimally exploit the...