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 |
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Rok vydání: | 2020 |
Předmět: |
010504 meteorology & atmospheric sciences
Calibration (statistics) 0208 environmental biotechnology 02 engineering and technology 01 natural sciences 020801 environmental engineering Remote sensing (archaeology) Streamflow Evapotranspiration Environmental Chemistry Environmental science 0105 earth and related environmental sciences General Environmental Science Water Science and Technology Civil and Structural Engineering Remote sensing |
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 |
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