Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks
<p>Forecasting rainfall into the next season remains highly challenging and is normally presented in terms of probabilities rather than the expected rainfall as measured by rain gauges. I show here that, in favourable cases, for the selected times of the year and selected geographical regions,...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-08-01
|
| Series: | Advances in Statistical Climatology, Meteorology and Oceanography |
| Online Access: | https://ascmo.copernicus.org/articles/11/123/2025/ascmo-11-123-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!