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 6 of 6 for “"subseasonal-to-seasonal"”.
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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
… 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 activity. Successful prediction of extremes on the S2S …
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Application of neural networks to subseasonal to seasonal predictability in present and future climates
… is known for its lack of predictability on subseasonal to seasonal timescales (S2S; 2 weeks to a season). Yet accurate predictions on these timescales provide crucial, actionable lead times for agriculture, energy, and water management sectors. Fortunately, specific Earth system states – …
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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