Evaluation of Multi- and Many-Objective Optimization Techniques to Improve the Performance of a Hydrologic Model Using Evapotranspiration Remote-Sensing Data

Autor: Matthew R. Herman, Ian Kropp, J. Sebastian Hernandez-Suarez, A. Pouyan Nejadhashemi, Ali M. Sadeghi
Rok vydání: 2020
Předmět:
Zdroj: Journal of Hydrologic Engineering. 25
ISSN: 1943-5584
1084-0699
Popis: In this study, we explore the use of different multi- and many-objective calibration approaches in hydrological modeling when considering both observed streamflow and remotely sensed actual...
Databáze: OpenAIRE