SPDE Temperature Modeling

A two-part application: collect weather station data from GHCN, then build a spatial temperature model using SPDE with pyINLA. Covers mesh construction, PC priors, model fitting, and prediction with uncertainty quantification.

Part 1

Collecting Temperature Data

Download and prepare weather station data from the Global Historical Climatology Network (GHCN) for spatial temperature modeling over Lebanon, Syria, Jordan, and Saudi Arabia.

Open Part 1

Part 2

Spatial Temperature Modeling with SPDE

Build a triangular mesh, define an SPDE model with PC priors, fit the model using pyINLA with elevation as a covariate, and generate temperature predictions with uncertainty maps.

Open Part 2