Optimal distributions of growing‐type initial perturbations for ensemble forecasts: Theory and application in the Lorenz‐96 model
Sign Up to like & getrecommendations! Published in 2024 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.4913
Abstract: Ensemble forecasts are frequently utilized to assess the uncertainties of prediction systems. There is a consensus that generating initial perturbations with specific structures is more conducive to characterizing the growth dynamics of analysis errors, demonstrating… read more here.
Keywords: analysis errors; growing type; ensemble forecasts; forecast skills ... See more keywords
Probabilistic Neural Networks for Ensemble Postprocessing
Sign Up to like & getrecommendations! Published in 2024 at "Monthly Weather Review"
DOI: 10.1175/mwr-d-23-0220.1
Abstract: Accurate temperature forecasts are critical for various industries and sectors. We propose a probabilistic neural network (PNN), an extension of the distributional regression network (DRN), for 2-m temperature forecasts, consisting of three variants with different… read more here.
Keywords: pnn; forecast skills; probabilistic neural; temperature forecasts ... See more keywords