Solanar Graduate Program✦Track 02 · Numerical Weather Prediction✦Data Assimilation · Ensembles · Hybrid AI/ML✦A++ Graduate Curriculum✦80% Hard Mastery✦Higher Learning Mathematics Integrated✦NAIB Research Mentor✦
Numerical Weather Prediction & Data AssimilationGraduate Track 02 · Computational Atmospheric Prediction
Graduate ProgramMathematicsNumerical LabResearchFormsToolsNAIB Mentor
A++ graduate curriculum · 36 weeks · two semesters

Predict the Atmosphere

A rigorous computational meteorology specialization spanning governing equations, numerical methods, dynamical cores, parameterizations, model verification, observing systems, variational and ensemble data assimilation, probabilistic prediction, coupled systems and carefully evaluated hybrid AI/ML methods.

Every daily competency, computational evidence record, coding/diagnostic practical, qualifying checkpoint, semester comprehensive and final domain must independently reach 80%.
36graduate weeks180advanced learning days6qualifying checkpoints5independent final gates

Semester I · Numerical Atmospheric Modeling

Governing equations · grids · finite differences · stability · advection/diffusion · dynamical cores · parameterizations · initialization · high-resolution NWP · deterministic verification.

Enter Semester I

Semester II · Data Assimilation & Ensemble Prediction

Observations/QC · estimation · OI/BLUE · 3D-Var · 4D-Var · Kalman/EnKF · hybrid DA · covariance · radiances/bias · ensembles · calibration · coupled DA · AI/ML.

Enter Semester II

Numerical Lab

Interactive CFL, finite-difference advection, Kalman and ensemble experiments.

Open Lab

Higher Learning Mathematics

Linear Algebra, Differential Equations and Statistics are core co-requisites.

Math Bridge

Research Center

Controlled experiments, reproducibility, verification and capstone system.

Research

Qualification

Science · quantitative · computational · diagnostic · research/oral.

Final