Efficient modeling of sub-kilometer surface wind with Gaussian processes and neural networks

Documenti analoghi

• Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
  di: Berlinghieri, Renato, et al.
  Pubblicazione: (2023)
• Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning
  di: Horat, Nina, et al.
  Pubblicazione: (2024)
• Uncertainty quantification for data-driven weather models
  di: Bülte, Christopher, et al.
  Pubblicazione: (2024)
• Probabilistic measures afford fair comparisons of AIWP and NWP model output
  di: Gneiting, Tilmann, et al.
  Pubblicazione: (2025)
• Score-based generative emulation of impact-relevant Earth system model outputs
  di: Bouabid, Shahine, et al.
  Pubblicazione: (2025)