Machine learning suggests climate and seasonal definitions should change under global warming
Extreme and unseasonal temperature and precipitation events have increased worldwide. The greater frequency and variability of floods, heatwaves, and droughts challenge traditional definitions of climate periods as 30-year means. Machine learning (ML) studies, focusing on southern Austral...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Academia.edu Journals
2024-11-01
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| Series: | Academia Environmental Sciences and Sustainability |
| Online Access: | https://www.academia.edu/125737465/Machine_learning_suggests_climate_and_seasonal_definitions_should_be_changed_under_global_warming |
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