Impact of model structure and parameterization on Penman-Monteith type evaporation models

By Ali Ershadi, Matthew F. McCabe, Jason P. Evans, Eric F. Wood. 2015

133 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/fbf59001892adc73f63fc10e4d956446fb320c96

How researchers see this paper

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

1. Jinzhu Ma
2. Shasha Shang
3. Kun Zhang
4. Chunlin Huang
5. Yuting Yang
6. Z. Ding
7. Ting Ma
8. Kun Zhang

Citations in the corpus

• Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification (2019, methodology): “However, subsequent studies showed that MOD16 performs suboptimally, and in a few cases unacceptably, in many regions of the world (Ershadi et al., 2015; Kim et al., 2012; Ramoelo et al., 2014; Trambauer et al., 2014; Velpuri et al., 2013; Yang et al., 2015; Yao et al., 2014).”
• Multi‐model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging (2016, background): “highlighted the import influence of model structure on modelling ET (Ershadi et al., 2015).”
• The Future of Earth Observation in Hydrology. (2017, unknown): “…the required high resolution over large spatial domains, equally high-resolution observations of surface-level temperature and radiation budget components are required, together with improved representation of the hydrometeorology required to force many of these models (Ershadi et al., 2013).”