Application of Machine Learning Techniques to Detect and Understand the Impacts of Global Warming on Southeast Australia

Australia is adversely affected by global warming (GW), as its well-known cycles of droughts, floods, and extreme weather events are increasingly amplified by GW. Here, the focus is the impacts of GW on populous southeast Australia. Machine Learning attribution techniques have been applied to identi...

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Veröffentlicht in:	Georgetown journal of international affairs 2023-09, Vol.24 (2), p.260-266
Hauptverfasser:	Speer, Milton S, Leslie, Lance M
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Climate change Coasts Dams Drought Floods Forest & brush fires Machine learning Prescribed fire Rain River ecology Temperature
Online-Zugang:	Volltext
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