Barillec, R. (2003). Improving a Stocastic Rainfall Forecasting Model. Masters thesis, Aston University.
Abstract
Short-term rainfall forecasting is a major subject of research in the domain of weather prediction. The development of radar imaging since the 50’s and recent advances in data analysis methods such as neural networks made it possible to design radar-based statistical frameworks dedicated to the modelling of rainfall processes. A model of that kind has been developped last year at Aston University’s Neural Research Group. This thesis describes the problems inherent to this model and the modifications attempted to correct them.
| Publication DOI: | https://doi.org/10.48780/publications.aston.ac.uk.00021420 |
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| Additional Information: | Copyright © Barillec, R, 2003. Barillec, R asserts their moral right to be identified as the author of this thesis. This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with its author and that no quotation from the thesis and no information derived from it may be published without appropriate permission or acknowledgement. If you have discovered material in Aston Publications Explorer which is unlawful e.g. breaches copyright, (either yours or that of a third party) or any other law, including but not limited to those relating to patent, trademark, confidentiality, data protection, obscenity, defamation, libel, then please read our Takedown Policy and contact the service immediately. |
| Institution: | Aston University |
| Uncontrolled Keywords: | stocastic,rainfall forecasting,weather forecasting |
| Last Modified: | 09 May 2025 12:54 |
| Date Deposited: | 19 Mar 2014 11:20 |
| Completed Date: | 2003 |
| Authors: |
Barillec, R.
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