Safeguarding invaluable DA investments by vigilantly monitoring DA performance both in real-time and retrospective scenarios.
Data assimilation (DA) is a critical component of modern weather forecasting and earth system modeling, it enables the integration of atmospheric observations into models to increase forecast accuracy.
pyDAmonitor automatically reads JEDI (or GSI) diagnostic files and create a comprehensive set of statistics, plots, and maps of key assimilation metrics like OmB (Observation minus Background) and OmA (Observation minus Analysis), innovation distribution, etc. It aims to facilitate and speed up analysis of DA performance in both real-time and retrospective scenarios.
pyDAmonitor Book: showcase notebooks plots and results
Check wiki for more information