SMEV provides a robust framework for frequency analyses of extremes and is particularly well-suited for extreme precipitation. It relies on non-asymptotic assumptions based on atmospheric physics and can handle extremes emerging from multiple underlying processes. 

With the TENAX model, one can project sub-hourly precipitation extremes at different return levels based on daily scale projections from climate models in any location globally where observations of sub-hourly precipitation data and near-surface air temperature are available.

TENAX-CDS computes short-duration IDF curves and design storms for flash flood assessments under increasing temperatures based on the TENAX framework. Design storms are created using the Chigago design storm appraoch. The framework requires a minimal set of parameters and input data.

Atmospheric physics shows that extreme precipitation probability should approximately decrease as a powered-exponential as precipitation magnitude increases. These codes provide a Monte Carlo test to evaluate whether an available sample is likely drawn from a distribution with powered-exponential (Weibull) tail.

Non-stationary implementation of the SMEV model. Maximum likelihood parameter estimation with left-censoring for a nonstationary two-parameter Weibull distribution in which both parameters (may) depend linearly on a covariate. Tests for the statistical significance of the dependences are provided.