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

ABSTRACT: 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 model calibration to improve simulations is lacking. To address these limitations, we assessed how a spatially explicit, distributed calibration approach that uses (1) remotely sensed ET data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and (2) frequently overlooked biophysical paramet

SUBMITTER: Rajib A 

PROVIDER: S-EPMC6687302 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature