Open AccessNonlinear Characteristics of Ensemble Perturbation Evolution and Their Application to Forecasting High-Impact Events
Author(s) -
Brian C. Ancell
Publication year - 2013
Publication title -
weather and forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.393
H-Index - 106
eISSN - 1520-0434
pISSN - 0882-8156
DOI - 10.1175/waf-d-12-00090.1
Subject(s) - ensemble forecasting , ensemble average , nonlinear system , meteorology , perturbation (astronomy) , ensemble kalman filter , computer science , quantitative precipitation forecast , scale (ratio) , ensemble learning , forecast verification , forecast skill , econometrics , environmental science , statistics , kalman filter , precipitation , mathematics , climatology , artificial intelligence , geography , geology , extended kalman filter , physics , cartography , quantum mechanics