Generalized Coarse Graining Procedures for Flow in Porous Media

By Sabine Attinger. 2003

61 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computational Theory and Mathematics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/92541d35493dcbeec60f15847a36e90bb37b9ea3

How researchers see this paper

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

In Computational Mechanics

1. Haksu Lee
2. Murugesu Sivapalan
3. E. Zehe
4. Brian Wood

In Computational Theory and Mathematics

1. Haksu Lee
2. Murugesu Sivapalan
3. E. Zehe
4. Brian Wood

In Electrical and Electronic Engineering

1. Haksu Lee
2. Murugesu Sivapalan
3. E. Zehe
4. Brian Wood

Citations in the corpus

• The role of scaling laws in upscaling (2009, background): “[17]) to examine the details of the coarse-graining procedure.”
• Predictions of rainfall-runoff response and soil moisture dynamics in a microscale catchment using the CREW model (2006, methodology): “A widely used approach is the derivation of effective parameters by means of coarse graining, as suggested by Dagan (1989), Attinger (2003) and Lunati et al. (2002), which is based on assumptions on the probability distributions of key parameters, e.g. the hydraulic conductivity.”