Dr. Javier Amezcua
Postdoctoral Research Assistant - DARC
Education
BSc in Physics Engineering, Monterrey Tech. 2006 MSc in Applied Statistics, Monterrey Tech. 2008 PhD in Atmospheric and Oceanic Science, University of Maryland 2012
Research
My research area is data assimilation, predictability and numerical weather forecasting. I am part of the Data Assimilation Research Group (DARC).
Centaur Publications
2020
Evensen, G., Amezcua, J., Bocquet, M., Carrassi, A., Farchi, A., Fowler, A., Houtekamer, P., Jones, C., de Moraes, R., Pulido, M., Sampson, C. and Vossepoel, F. (2020) An international initiative of predicting the Sars-Cov-2 pandemic using ensemble data assimilation. Foundations of Data Science. ISSN 2639-8001 doi: https://doi.org/10.3934/fods.2021001 (In Press)
Ren, H., Amezcua, J. and Van Leeuwen, P. J. (2020) Effects of misspecified time-correlated model error in the (ensemble) Kalman Smoother. Quarterly Journal of the Royal Meteorological Society. ISSN 1477-870X (In Press)
Amezcua, J., Nasholm, P., Blixt, M. and Charlton-Perez, A. (2020) Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds. Quarterly Journal of the Royal Meteorological Society, 146 (731). pp. 2634-2653. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3809
2019
Skauvold, J., Eidsvik, J., Van Leeuwen, P. J. and Amezcua, J. (2019) A revised implicit equal-weights particle filter. Quarterly Journal of the Royal Meteorological Society, 145 (721). ISSN 1477-870X doi: https://doi.org/10.1002/qj.3506
2018
Amezcua, J. and Van Leeuwen, P. J. (2018) Time-correlated model error in the (ensemble) Kalman smoother. Quarterly Journal of the Royal Meteorological Society, 144 (717). pp. 2650-2665. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3378
Chavez-Arroyo, R., Fernades-Correia, P., Lozano-Galiana, S., Sanz-Rodrigo, J., Amezcua, J. and Probst, O. (2018) A novel approach to statistical-dynamical downscaling for long-term wind resource predictions. Meteorological Applications, 25 (2). pp. 171-183. ISSN 1469-8080 doi: https://doi.org/10.1002/met.1678
2017
Goodliff, M., Amezcua, J. and Van Leeuwen, P. J. (2017) A weak-constraint 4DEnsembleVar. Part II: experiments with larger models. Tellus A, 69 (1). 1271565. ISSN 1600-0870 doi: https://doi.org/10.1080/16000870.2016.1271565
Amezcua, J., Goodliff, M. and Van Leeuwen, P. J. (2017) A weak-constraint 4DEnsembleVar. Part I: formulation and simple model experiments. Tellus A, 69 (1). 1271564. ISSN 1600-0870 doi: https://doi.org/10.1080/16000870.2016.1271564
2016
Zhu, M., Van Leeuwen, P. J. and Amezcua, J. (2016) Implicit equal-weights particle filter. Quarterly Journal of the Royal Meteorological Society. ISSN 0035-9009 doi: https://doi.org/10.1002/qj.2784
2015
Amezcua, J. and Williams, P. D. (2015) The composite-tendency Robert–Asselin–Williams (RAW) filter in semi-implicit integrations. Quarterly Journal of the Royal Meteorological Society, 141 (688). pp. 764-773. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2391
Goodliff, M., Amezcua, J. and Van Leeuwen, P. (2015) Comparing hybrid data assimilation methods on the Lorenz 1963 model with increasing nonlinearity. Tellus A, 67. ISSN 1600-0870 doi: https://doi.org/10.3402/tellusa.v67.26928
2014
Amezcua, J. and Van Leeuwen, P. (2014) Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach. Tellus A, 66. 23493. ISSN 1600-0870 doi: https://doi.org/10.3402/tellusa.v66.23493
2013
Amezcua, J., Ide, K., Kalnay, E. and Reich, S. (2013) Ensemble transform Kalman-Bucy filters. Quarterly Journal of the Royal Meteorological Society, 140 (680). pp. 995-1004. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2186
2012
Amezcua, J., Ide, K., Bishop, C. H. and Kalnay, E. (2012) Ensemble clustering in deterministic ensemble Kalman filters. Tellus A, 64. 18039. ISSN 1600-0870 doi: https://doi.org/10.3402/tellusa.v64i0.18039
Amezcua, J. (2012) Advances in sequential data assimilation and numerical weather forecasting: an Ensemble Transform Kalman-Bucy Filter, a study on clustering in deterministic Ensemble Square Root Filters, and a test of a new time stepping scheme in an atmospheric model. PhD thesis, University of Maryland.
2011
Amezcua, J., Munoz, R. and Probst, O. (2011) Reconstruction of gusty wind speed time series from autonomous data logger records. Wind & Structures, 14 (4). pp. 337-357. ISSN 1226-6116
Romo, A., Amezcua, J. and Probst, O. (2011) Validation of three new measure-correlate-predict models for the long-term prospection of the wind resource. Journal of Renewable and Sustainable Energy, 3 (2). 023105. ISSN 1941-7012 doi: https://doi.org/10.1063/1.3574447
Amezcua, J., Kalnay, E. and Williams, P. D. (2011) The effects of the RAW filter on the climatology and forecast skill of the SPEEDY model. Monthly Weather Review, 139 (2). pp. 608-619. ISSN 0027-0644 doi: https://doi.org/10.1175/2010MWR3530.1
2009
Gallo, A., Gosch, R., Amezcua, J., Reyes, E. and Probst, O. (2009) Statistical evaluation of the early-stage development of Jatropha energy plantations in Northeastern Mexico. Intenational Journal of Global Warming, 1 (4). pp. 473-492. ISSN 1758-2091 doi: https://doi.org/10.1504/IJGW.2009.029218
Last update: 30th January 2019