16 citations · 32 across the 3 of their papers we have counts for
3 papers
Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents
Daniel Ayers, Jack Lau, Javier Amezcua +2
In chaotic dynamical systems such as the weather, prediction errors grow faster in some situations than in others. Real-time knowledge about the error growth could enable strategie…
Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds
Javier Amezcua, Sven Peter Näsholm, Erik Mårten Blixt +1
This data assimilation study exploits infrasound from explosions to probe an atmospheric wind component from the ground up to stratospheric altitudes. Planned explosions of old amm…
Ensemble transform Kalman-Bucy filters
Javier Amezcua, Kayo Ide, Eugenia Kalnay +1
Two recent works have adapted the Kalman-Bucy filter into an ensemble setting. In the first formulation, BR10, the full ensemble is updated in the analysis step as the solution of…