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Showing 1 to 4 of 4 for “"Subseasonal Predictability"”.

  1. Application of neural networks to subseasonal to seasonal predictability in present and future climates

    The Earth system 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 …

    colostate Repository record for Application of neural networks to subseasonal to seasonal predictability in present and future climates (opens in a new tab)

  2. 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 …

    uiuc Repository record for Toward better subseasonal-to-seasonal prediction: physics-oriented model evaluation and predictability of tropical cyclones (opens in a new tab)

  3. Land-atmosphere interactions and the predictability of the South American low-level jet

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms

    uiuc Repository record for Land-atmosphere interactions and the predictability of the South American low-level jet (opens in a new tab)