News about the EUMETNET statistical postprocessing benchmark

New postprocessing methods are sometimes introduced without proper comparison to other available techniques, and therefore the institutions responsible for the operational implementation of weather forecasts may struggle deciding the best choice for their particular usecase. With the goal of helping the weather community to make such decisions, the benchmark of different postprocessing methods on predefined datasets is an important topic and is a key deliverable of the current EUMETNET postprocessing module. This benchmark is also a collaborative effort from several meteorological institutions, members of EUMETNET, and academia to define common pratices and shape standards.

 

In this presentation, we will highlight the different aspects of the benchmark: (1) its current status and organization and (2) its objectives for the next 2 years. We will also detail the challenges ahead for this exercise, and the foreseen datasets and infrastructures needed to tackle them.