%0 Journal Article 
%A Rodríguez Donado, Juan Sebastián
%T Towards an operational data assimilation System: a detailed web-based framework for weather forecast

%U http://hdl.handle.net/10584/10482
%X Weather forecasts are of extreme importance nowadays. They help us daily to plan and schedule activities in different contexts of our society. This paper details an effi- cient web-based framework for operational weather forecasts. We not only present the different layers but also explain how to deploy them using cutting-edge tech- nologies. We build our forecast system on top of an in-house High-Performance- Computing cluster. The Weather Research Forecast model is the numerical model to employ during forecast steps; the imperfect model trajectories are adjusted ev- ery three hours according to real-noisy observations via sequential data assimila- tion. We build numerical grids by interpolating GFS-NOAA datasets onto regular grids. Observations are taken from METeorological Aerodrome Reports extracted from OGIMET. A three-dimensional variational data assimilation method is applied to digest observations. We use interactive Folium maps in Python to display model outputs for all variables. These maps are published in https://aml-cs.github.io/ wrf-baq-0.5km/ and consumed using the GitHub REST API.
%K Sitios web
%K Meteorología -- Investigaciones
%~ GOEDOC, SUB GOETTINGEN