Calibration and uncertainty analysis of the SWAT model using Genetic Algorithms and Bayesian Model Averaging

By Xuesong Zhang, Raghavan Srinivasan, D. Bosch. 2009

230 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/7fd0ea201745ffea8707215d2e3f987821d8427a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Jinzhu Ma
2. Nicolas Picard
3. Gaofeng Zhu
4. F. Mortier

In Global and Planetary Change

1. Nicolas Picard
2. L. Saint-André
3. M. Henry
4. F. Mortier

Citations in the corpus

• Multi‐model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging (2016, background): “…(i.e. soil moisture, Guo et al., 2007; surface longwave radiation, Wu et al., 2012), groundwater assessment (Neuman, 2003), hydrologic streamflow predictions (Duan et al., 2007; Vrugt and Robinson, 2007; Zhang et al., 2009), and terrestrial ET estimation (Ershadi et al., 2014; Yao et al., 2014).”
• Using Bayesian Model Averaging to Predict Tree Aboveground Biomass in Tropical Moist Forests (2012, background): “2009), hydrology (Zhang et al. 2009), and forest science (Li et al.”