Attribution and Prediction of Precipitation and Temperature Trends within the Sydney Catchment Using Machine Learning

Attribution and Prediction of Precipitation and Temperature Trends within the Sydney Catchment Using Machine Learning

Droughts in southeastern Australia can profoundly affect the water supply to Sydney, Australia’s largest city. Increasing population, a warming climate, land surface changes and expanded agricultural use increase water demand and reduce catchment runoff. Studying Sydney’s water supply is necessary t...

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Bibliographic Details
Main Authors: Joshua Hartigan, Shev MacNamara, Lance M. Leslie, Milton Speer
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Climate
Subjects:
machine learning
precipitation
temperature
Southeast Australia
attribution
prediction
Online Access:https://www.mdpi.com/2225-1154/8/10/120

Internet

https://www.mdpi.com/2225-1154/8/10/120

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