Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6235-2017
© 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-21-6235-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Dec 2017
Research article |
| 08 Dec 2017
Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI
Guiomar Ruiz-Pérez
CORRESPONDING AUTHOR
Department of Crop Production Ecology, Swedish University of
Agricultural Sciences, Uppsala, Sweden
Research Group of Hydrological and Environmental Modelling (GIHMA),
Research Institute of Water and Environmental Engineering, Universitat
Politècnica de València, Valencia, Spain
Julian Koch
Department of Hydrology, Geological Survey of Denmark and Greenland,
Copenhagen, Denmark
Department of Geosciences and Natural Resources Management, University
of Copenhagen, Copenhagen Denmark
Salvatore Manfreda
Department of European and Mediterranean Cultures, University of
Basilicata, Matera, Italy
Kelly Caylor
Bren School of Environmental Science and Management, Department of
Geography, UC Santa Barbara, Santa Barbara, California, USA
Félix Francés
Research Group of Hydrological and Environmental Modelling (GIHMA),
Research Institute of Water and Environmental Engineering, Universitat
Politècnica de València, Valencia, Spain
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20 citations as recorded by crossref.
- Data-driven model as a post-process for daily streamflow prediction in ungauged basins J. Choi & S. Kim 10.1016/j.heliyon.2025.e42512
- Hydrograph separation for tackling equifinality in conceptual hydrological models J. Casado-Rodríguez & M. del Jesus 10.1016/j.jhydrol.2022.127816
- Ecohydrologic model with satellite-based data for predicting streamflow in ungauged basins J. Choi et al. 10.1016/j.scitotenv.2023.166617
- The Added Value of Different Data Types for Calibrating and Testing a Hydrologic Model in a Small Catchment B. Széles et al. 10.1029/2019WR026153
- The Cumulative Effects of Forest Disturbance and Climate Variability on Streamflow in the Deadman River Watershed K. Giles-Hansen et al. 10.3390/f10020196
- The importance of vegetation in understanding terrestrial water storage variations T. Trautmann et al. 10.5194/hess-26-1089-2022
- Managing low productive forests at catchment scale: Considering water, biomass and fire risk to achieve economic feasibility M. González-Sanchis et al. 10.1016/j.jenvman.2018.10.078
- Usefulness of Global Root Zone Soil Moisture Product for Streamflow Prediction of Ungauged Basins J. Choi et al. 10.3390/rs13040756
- Hydrological Response to Predominant Land Use and Land Cover in the Colombian Andes at the Micro-Watershed Scale H. Sánchez et al. 10.3390/land13081140
- Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation C. Echeverría et al. 10.3390/w11122613
- Optimal Hydrological Model Calibration Strategy for Climate Change Impact Studies S. Bérubé et al. 10.1061/(ASCE)HE.1943-5584.0002148
- Strategies to Improve and Evaluate Physics‐Based Hyperresolution Hydrologic Simulations at Regional Basin Scales A. Ko et al. 10.1029/2018WR023521
- 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
- Evaluation of Remote Sensing-Based Evapotranspiration Datasets for Improving Hydrological Model Simulation in Humid Region of East China S. Pan et al. 10.3390/rs14184546
- An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources Z. Su et al. 10.3390/w12051495
- Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. 10.5194/gmd-15-6957-2022
- 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
- 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
- A method of multi-site calibration of distributed hydrological models based on the Nash-Sutcliffe efficiency B. Gartsman et al. 10.24057/2071-9388-2024-3564
- 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
19 citations as recorded by crossref.
- Data-driven model as a post-process for daily streamflow prediction in ungauged basins J. Choi & S. Kim 10.1016/j.heliyon.2025.e42512
- Hydrograph separation for tackling equifinality in conceptual hydrological models J. Casado-Rodríguez & M. del Jesus 10.1016/j.jhydrol.2022.127816
- Ecohydrologic model with satellite-based data for predicting streamflow in ungauged basins J. Choi et al. 10.1016/j.scitotenv.2023.166617
- The Added Value of Different Data Types for Calibrating and Testing a Hydrologic Model in a Small Catchment B. Széles et al. 10.1029/2019WR026153
- The Cumulative Effects of Forest Disturbance and Climate Variability on Streamflow in the Deadman River Watershed K. Giles-Hansen et al. 10.3390/f10020196
- The importance of vegetation in understanding terrestrial water storage variations T. Trautmann et al. 10.5194/hess-26-1089-2022
- Managing low productive forests at catchment scale: Considering water, biomass and fire risk to achieve economic feasibility M. González-Sanchis et al. 10.1016/j.jenvman.2018.10.078
- Usefulness of Global Root Zone Soil Moisture Product for Streamflow Prediction of Ungauged Basins J. Choi et al. 10.3390/rs13040756
- Hydrological Response to Predominant Land Use and Land Cover in the Colombian Andes at the Micro-Watershed Scale H. Sánchez et al. 10.3390/land13081140
- Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation C. Echeverría et al. 10.3390/w11122613
- Optimal Hydrological Model Calibration Strategy for Climate Change Impact Studies S. Bérubé et al. 10.1061/(ASCE)HE.1943-5584.0002148
- Strategies to Improve and Evaluate Physics‐Based Hyperresolution Hydrologic Simulations at Regional Basin Scales A. Ko et al. 10.1029/2018WR023521
- 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
- Evaluation of Remote Sensing-Based Evapotranspiration Datasets for Improving Hydrological Model Simulation in Humid Region of East China S. Pan et al. 10.3390/rs14184546
- An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources Z. Su et al. 10.3390/w12051495
- Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. 10.5194/gmd-15-6957-2022
- 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
- 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
- A method of multi-site calibration of distributed hydrological models based on the Nash-Sutcliffe efficiency B. Gartsman et al. 10.24057/2071-9388-2024-3564
Latest update: 02 Apr 2025
Short summary
Plants are shaping the landscape and controlling the hydrological cycle, particularly in arid and semi-arid ecosystems. Remote sensing data appears as an appealing source of information for vegetation monitoring, in particular in areas with a limited amount of available field data. Here, we present an example of how remote sensing data can be exploited in a data-scarce basin. We propose a mathematical methodology that can be used as a springboard for future applications.
Plants are shaping the landscape and controlling the hydrological cycle, particularly in arid...
