Numerical Ensemble Weather Prediction

It is important to quantify uncertainty in a weather forecast due to the chaotic nature of the atmosphere and numerical models. Therefore, ensemble prediction has become a standard practice at major numerical weather prediction centers in the world. To review the most recent developments in this area, this Special Issue will focus on ensemble prediction. The topics include the following aspects:

(1) ensemble prediction systems for all applications (weather, climate, hydrology, ocean and air pollutions, etc.);

(2) ensemble perturbation techniques (initial conditions, model physics and dynamics, etc.) for all spatial scales (global, regional and storm-scale);

(3) ensemble post-processing (1st and 2nd moments);

(4) ensemble verification;

(5) ensemble products (information extraction);

(6) ensemble-based predictability study and forecast error estimation; 

(7) application of forecast uncertainty information in user decision-making.

Dr. Jun Du
Dr. Ken Mylne
Guest Editors

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