𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Effect of grid size on effective parameters and model performance of the MIKE-SHE code

✍ Scribed by R. F. Vázquez; L. Feyen; J. Feyen; J. C. Refsgaard


Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
367 KB
Volume
16
Category
Article
ISSN
0885-6087

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

The present study discusses the application of the physically based distributed MIKE‐SHE code to a medium size catchment using different grid sizes to investigate scale effects on the model results. First a 600 m grid‐square model was calibrated. This was then subjected to a multi‐resolution (MR) validation test by using the effective parameters of the calibrated model in a 300 m and a 1200 m grid‐square model. The MR test indicated that the models for the resolutions analysed only differ marginally. Secondly, the effect of grid size on both the calibrated effective model parameters and the model performance was analysed in the scope of a multi‐calibration test in which the calibration and validation processes were kept as unique and standard as possible for every grid size. The model was calibrated and validated for every grid size against both daily catchment discharge measurements and observed water levels using both a split sample procedure and a multi‐site validation test. The investigation indicated that the best validation results, in terms of river discharge, were obtained with a 600 m grid‐resolution, independent of the stream‐flow station. This, together with the exponential increase in computation time when reducing the grid size, indicates that, for the given level of data input and quality, the model type and structure, and the time step, a 600 m grid‐resolution is most appropriate for the catchment under study. Copyright © 2002 John Wiley & Sons, Ltd.


📜 SIMILAR VOLUMES


Effects of grid cell size and time step
✍ Rudi Hessel 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 267 KB

## Abstract With increasing computer power, process‐based models that use grids to discretize space have become increasingly popular. For such models, the simulation results might depend on both grid cell size and, in the case of dynamic models, on the time step length used in the model. In this st

Spatial scale effect on the upper soil e
✍ M. Barrios; F. Francés 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 381 KB 👁 2 views

## Abstract Nonlinear dynamics and spatial variability in hydrological systems make the formulation of scaling theories difficult. Therefore, the development of knowledge related to scale effects, scaling techniques, parameterization and linkages of parameters across scales is highly relevant. The

Effects of sample and grid size on the a
✍ J. Ignacio López Moreno; J. Latron; A. Lehmann 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 797 KB

## Abstract This work analyses the responses of four regression‐based interpolation methods for predicting snowpack distribution to changes in the number of data points (sample size) and resolution of the employed digital elevation model (DEM). For this purpose, we used data obtained from intensive