๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Input errors in rainfall-runoff modelling

โœ Scribed by M.T.P. Retnam; B.J. Williams


Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
658 KB
Volume
30
Category
Article
ISSN
0378-4754

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Error identification and decomposition i
โœ Carlos E. Puente; Rafael L. Bras ๐Ÿ“‚ Article ๐Ÿ“… 1987 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 707 KB

An approximate maximum likelihood procedure estimates the error statistics of a very large and complicated model of river basins while reducing the computational burden by decoupling soil states of the various subbasins forming the system and limiting stochastic dependence to the channel network con

A systematic approach to the input deter
โœ Gwo-Fong Lin; Guo-Rong Chen ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 289 KB

## Abstract Input determination has a great influence on the performance of artificial neural network (ANN) rainfallโ€“runoff models. To improve the performance of ANN models, a systematic approach to the input determination for ANN models is proposed. In the proposed approach, the irrelevant inputs

Rainfall runoff models in flood forecast
โœ B.J. Williams; W.G. Field ๐Ÿ“‚ Article ๐Ÿ“… 1985 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 490 KB

## Two conceptual rainfall-runoff models are described incorporating non-linear surface and groundwater storages in association with kinematic wave routing of channel flow. The models are shown to be suitable for design purposes and one of them, in preliminary investigations, appears to be suitabl

Error analysis for the evaluation of mod
โœ Edzer J. Pebesma; Paul Switzer; Keith Loague ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 400 KB ๐Ÿ‘ 1 views

## Abstract This paper provides a procedure for the evaluation of model performance for rainfallโ€“runoff event summary variables, such as total discharge or peak runoff. The procedure is based on the analysis of model errors, defined as the differences between observed values and values predicted by

Error analysis for the evaluation of mod
โœ Edzer J. Pebesma; Paul Switzer; Keith Loague ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 624 KB

This paper provides a procedure for evaluating model performance where model predictions and observations are given as time series data. The procedure focuses on the analysis of error time series by graphing them, summarizing them, and predicting their variability through available information (reca