𝔖 Bobbio Scriptorium
✦   LIBER   ✦

All India summer monsoon rainfall prediction using an artificial neural network

✍ Scribed by A. K. Sahai; M. K. Soman; V. Satyan

Publisher
Springer-Verlag
Year
2000
Tongue
English
Weight
569 KB
Volume
16
Category
Article
ISSN
0930-7575

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Forecasting all-India summer monsoon rai
Forecasting all-India summer monsoon rainfall using regional circulation principal components: a comparison between neural network and multiple regression models
✍ Cannon, Alex J.; McKendry, Ian G. πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 337 KB πŸ‘ 2 views

Pre-monsoon principal components (PCs) of circulation fields covering the South Asian subcontinent were used as predictors for all-India summer monsoon rainfall (AISMR) over the period 1958 -1993. Predictive skill of non-linear neural network models and linear multiple regression models was compared

Multi-model ensemble (MME) prediction of
Multi-model ensemble (MME) prediction of rainfall using neural networks during monsoon season in India
✍ Ashok Kumar; A. K. Mitra; A. K. Bohra; G. R. Iyengar; V. R. Durai πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 1017 KB

## Abstract The prediction of Asian summer monsoon rainfall on various space and time scales is still a difficult task. Compared to the mid‐latitudes, proportional improvement in the skill in prediction of monsoon rainfall in medium range has been less in recent years. Global models and data assimi

Rainfall-runoff models using artificial
Rainfall-runoff models using artificial neural networks for ensemble streamflow prediction
✍ Dae-Il Jeong; Young-Oh Kim πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 865 KB

## Abstract Previous ensemble streamflow prediction (ESP) studies in Korea reported that modelling error significantly affects the accuracy of the ESP probabilistic winter and spring (i.e. dry season) forecasts, and thus suggested that improving the existing rainfall‐runoff model, TANK, would be cr