Data assimilation for meteorology

Assimilation météo

  • Control vector \(\underline x\):

    • 3D fields : temperature, pressure, humidity, winds

    • Several millions of grid points

  • Observation vector \(\underline y\):

    • Satellite data: surface temperature and winds, cloudiness, chemical concentrations...

    • In-situ data: temperature, pressure, humidity, winds...

    • A million of observations

Weather forecast is a significant example for data assimilation. Most of the time, the analysis is the initial condition of the meteorological model.