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✦
Prediction as falsifiable computational science

Graduate Research

Research work requires controlled experiments, transparent configuration, data/code provenance, matched baselines, verification on held-out evidence where appropriate, reproducibility and explicit limits on inference.

Semester I Project

Design and reproduce a numerical-model experiment measuring the consequences of a numerical, grid or physical-model choice.

Semester II Project

Build and diagnose a low-dimensional assimilation/ensemble experiment, then connect it to operational DA concepts.

Graduate Capstone

Construct a transparent educational forecast-assimilation system: dynamical model → numerical solver → observations → analysis update → ensemble/scenarios → verification → limitations → defense.

Research Distinction

For advanced mathematical work, connect Statistics, Introduction to Proofs and optionally Real & Complex Analysis to convergence, uncertainty, inverse problems or DA methodology.

Mathematics Bridge