Rainfall forecasting at long lead times for eastern Australia using artificial neural networks
Author:
Funder
B. Macfie Family Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09386-z.pdf
Reference59 articles.
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3. National Academies of Sciences, Engineering, and Medicine (2016) Next generation earth system prediction: strategies for sub-seasonal to seasonal forecasts. National Academies Press, Washington. https://doi.org/10.17226/21873
4. Lim EP, Hendon H, Hudson D et al (2009) Dynamical forecast of inter-El Niño variations of tropical SST and Australian spring rainfall. Mon Weather Rev 137:3796–3810
5. Liu Y, Ren H-L, Klingaman NP et al (2021) Improving long-lead seasonal forecasts of precipitation over Southern China based on statistical downscaling using BCC_CSM1.1m. Dyn Atmos Oceans 94:101222
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