authors Amezcua-Espinosa, Javier Amezcua-Espinosa, Javier Amezcua-Espinosa, Javier Amezcua-Espinosa, Javier Amezcua-Espinosa, Javier Amezcua-Espinosa, Javier
selected publications academic article in scopus Using Satellite Data Assimilation Techniques to Combine Infrasound Observations and a Full Ray-Tracing Model to Constrain Stratospheric Variables. Monthly Weather Review. 2024 Variable-Dependent and Selective Multivariate Localization for Ensemble-Variational Data Assimilation in the Tropics. Monthly Weather Review. 2024 Supervised machine learning to estimate instabilities in chaotic systems: Estimation of local Lyapunov exponents. Quarterly Journal of the Royal Meteorological Society. 149:1236-1262. 2023 Using the (Iterative) Ensemble Kalman Smoother to Estimate the Time Correlation in Model Error. Tellus Series A: Dynamic Meteorology and Oceanography. 75:108-128. 2023 Hybrid ensemble-variational data assimilation in ABC-DA within a tropical framework. Geoscientific Model Development. 15:6197-6219. 2022 A novel approach to statistical-dynamical downscaling for long-term wind resource predictions. Meteorological Applications. 25:171-183. 2018
education and training Doctor of Philosophy, University of Maryland at College Park Industrial Physicist Engineer, Tecnológico de Monterrey Master's Degree in Applied Statistics, Tecnológico de Monterrey
javier.amezcua@tec.mx
