Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Subseasonal to Seasonal Prediction"”.
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AI-informed model analogs for subseasonal-to-seasonal prediction
Subseasonal-to-seasonal forecasting is crucial for public health, disaster preparedness, and agriculture, and yet it remains a particularly challenging timescale to predict. We explore the use of an interpretable AI-informed model analog forecasting approach, previously employed on longer …
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Subseasonal to seasonal prediction and predictability of extreme and severe weather
This dissertation investigates the prediction and predictability of extreme and severe weather on the sub-seasonal to seasonal (S2S) timescale while exploring physical mechanisms that result in successful statistical prediction of atmospheric blocking, extreme temperatures, and severe weather …
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Toward better subseasonal-to-seasonal prediction: physics-oriented model evaluation and predictability of tropical cyclones
"Skillful subseasonal-to-seasonal (hereafter S2S; 10 days - 12 weeks) prediction can greatly benefit decision-making on resource management and agricultural planning that falls into the weekly to seasonal time ranges. The S2S prediction, bridging the traditional weather forecasting and climate …
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Investigating the role of the land surface in modulating the Great Plains low-level jet
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01