Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters

@inproceedings{Rajib2018HydrologicMP,
  title={Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters},
  author={Adnan Rajib and Grey R. Evenson and Heather E. Golden and Charles R. Lane},
  booktitle={Journal of hydrology},
  year={2018}
}
A hydrologic model, calibrated using only streamflow data, can produce acceptable streamflow simulation at the watershed outlet yet unrealistic representations of water balance across the landscape. Recent studies have demonstrated the potential of multi-objective calibration using remotely sensed evapotranspiration (ET) and gaged streamflow data to spatially improve the water balance. However, methodological clarity on how to "best" integrate ET data and model parameters in multi-objective… CONTINUE READING

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Application of a remote sensing-based soil water balance for the accounting of groundwater abstractions in large irrigation areas

Jesús Garrido-Rubio, David Sanz, José González-Piqueras, Alfonso Calera
  • Irrigation Science
  • 2019
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