2014
DOI: 10.1061/(asce)he.1943-5584.0000957
|View full text |Cite
|
Sign up to set email alerts
|

Grid-Size Dependency of Evapotranspiration Simulations in Shallow Aquifers: An Optimal Approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 18 publications
0
4
0
Order By: Relevance
“…() and Kambhammettu et al . () would cease to be an issue as the UFRs predefined for the terrain type would correctly produce the ET estimate without explicitly retaining the necessary subgrid elevation data to maintain accuracy. Additionally, as supported by Rihani et al .…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…() and Kambhammettu et al . () would cease to be an issue as the UFRs predefined for the terrain type would correctly produce the ET estimate without explicitly retaining the necessary subgrid elevation data to maintain accuracy. Additionally, as supported by Rihani et al .…”
Section: Resultsmentioning
confidence: 99%
“…It is the belief of the authors that simply upscaling in the straightforward manner described in this paper would make it possible to avoid or reduce many of the issues that currently exist when modelling GW-SW fluxes at regional scales. For example, the errors introduced to ET when upscaling as described by Kambhammettu et al (2011) and Kambhammettu et al (2013) would cease to be an issue as the UFRs predefined for the terrain type would correctly produce the ET estimate without explicitly retaining the necessary subgrid elevation data to maintain accuracy. Additionally, as supported by Rihani et al (2010), topographic slope affects ET fluxes, and therefore, the use of UFRs based upon terrain type would account for some of this terrain-specific variability.…”
Section: Why This Characterization? What Does It Mean For Modelling Amentioning
confidence: 99%
See 2 more Smart Citations