๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A nonlinear time variant rainfall-runoff model for augmenting monthly data

โœ Scribed by Tuffuor, Samuel; Labadie, John W.

Book ID
119735849
Publisher
American Geophysical Union
Year
1974
Tongue
English
Weight
458 KB
Volume
10
Category
Article
ISSN
0043-1397

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Error analysis for the evaluation of mod
Error analysis for the evaluation of model performance: rainfallโ€“runoff event time series data
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

A data-driven algorithm for constructing
A data-driven algorithm for constructing artificial neural network rainfall-runoff models
โœ K. P. Sudheer; A. K. Gosain; K. S. Ramasastri ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 104 KB

## Abstract A new approach for designing the network structure in an artificial neural network (ANN)โ€based rainfallโ€runoff model is presented. The method utilizes the statistical properties such as crossโ€, autoโ€ and partialโ€autoโ€correlation of the data series in identifying a unique input vector th

Rainfall-Runoff Modelling (The Primer) |
Rainfall-Runoff Modelling (The Primer) || Appendix A: Web Resources for Software and Data
โœ Beven, Keith ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› John Wiley & Sons, Ltd ๐ŸŒ English โš– 57 KB

Amid climatic changes linked to global warming, ongoing changes in land-use patterns, and growing international concern with the environment it is increasingly important to understand the potential impact of these changes on the environment. Rainfall-runoff modeling is an important predictor of that