Cargando…
Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters
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 e...
Autores principales: | Rajib, Adnan, Evenson, Grey R., Golden, Heather E., Lane, Charles R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6687302/ https://www.ncbi.nlm.nih.gov/pubmed/31395990 http://dx.doi.org/10.1016/j.jhydrol.2018.10.024 |
Ejemplares similares
-
Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions
por: Rajib, Adnan, et al.
Publicado: (2020) -
Estimation of Actual Evapotranspiration by Remote Sensing: Application in Thessaly Plain, Greece
por: Tsouni, Alexia, et al.
Publicado: (2008) -
Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing
por: Dias, Santos Henrique Brant, et al.
Publicado: (2021) -
Actual evapotranspiration by machine learning and remote sensing without the thermal spectrum
por: Costa, Taiara Souza, et al.
Publicado: (2023) -
Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water Simulation
por: Chakroun, Hedia, et al.
Publicado: (2023)