A Demonstration of Data Encoding for Statistical Post-Processing of NWP Output

NOAA is engaging the public, private, and academic sectors to form a Modeling Community, and we are pursuing this work aggressively. Only with appropriate contributions from the entire U.S. modeling community will we be able to build the best national modeling system possible. This vision extends beyond Numerical Weather Prediction (NWP) to Statistical Post-processing (StatPP) of NWP output. At the same time, the NWS is in the early stages of developing a Weather Information Statistical Post-processing System (WISPS). WISPS is a community-based software system, designed to support StatPP using modern software languages and self-describing data formats.

WISPS has proposed an application profile of the netCDF (Network Common Data Form) data storage standard and its associated Climate and Forecast conventions (CF; netCDF-CF). This application profile contains a number of best practices that can expand netCDF-CF when applied to StatPP, enhance data interoperability, and promote collaboration with the community.

This poster will offer concrete examples of these data encoding techniques as they apply to common scenarios drawn from StatPP in operational meteorology.