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
teaching activities Initial Stage Assessment - IIT Mathematics and Data Science for Decision Making Process Modeling Using Linear Algebra Research Intership Statistical Modeling for Decision Making Stochastic Optimization Systems Modeling with Differential Equations
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
