Article

Lee, J. C. K., Amezcua, J. and Bannister, R. N. (2024) Variable-dependent and selective multivariate localization for ensemble-variational data assimilation in the tropics. Monthly Weather Review. ISSN 1520-0493 doi: https://doi.org/10.1175/MWR-D-23-0201.1 (In Press)

Ayers, D. ORCID: https://orcid.org/0000-0002-5667-8174, Lau, J., Amezcua, J. ORCID: https://orcid.org/0000-0002-4952-8354, Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2023) Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents. Quarterly Journal of the Royal Meteorological Society, 149 (753). pp. 1236-1262. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4450

Amezcua, J. ORCID: https://orcid.org/0000-0002-4952-8354, Ren, H. ORCID: https://orcid.org/0000-0003-4342-3305 and Van Leeuwen, P. J. ORCID: https://orcid.org/0000-0003-2325-5340 (2023) Using the (iterative) ensemble Kalman smoother to estimate the time correlation in model error. Tellus A: Dynamic Meteorology and Oceanography, 75 (1). pp. 108-128. ISSN 1600-0870 doi: https://doi.org/10.16993/tellusa.55

Lee, J. C. K., Amezcua, J. and Bannister, R. N. (2022) Hybrid ensemble-variational data assimilation in ABC-DA within a tropical framework. Geoscientific Model Development, 15 (15). pp. 6197-6219. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-2022-3

Amezcua, J. and Barton, Z. (2021) Assimilating atmospheric infrasound data to constrain atmospheric winds in a two-dimensional grid. Quarterly Journal of the Royal Meteorological Society, 147 (740). pp. 3530-3554. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4141

Evensen, G., Amezcua, J., Bocquet, M., Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600, Farchi, A., Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948, Houtekamer, P. L., Jones, C. K., de Moraes, R. J., Pulido, M., Sampson, C. and Vossepoel, F. C. (2021) An international initiative of predicting the Sars-Cov-2 pandemic using ensemble data assimilation. Foundations of Data Science, 3 (3). pp. 413-477. ISSN 2639-8001 doi: https://doi.org/10.3934/fods.2021001

Pinnington, E., Amezcua, J., Cooper, E., Dadson, S., Ellis, R., Peng, J., Robinson, E., Morrison, R., Osborne, S. and Quaife, T. ORCID: https://orcid.org/0000-0001-6896-4613 (2021) Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data. Hydrology and Earth System Sciences, 25 (3). pp. 1617-1641. ISSN 1027-5606 doi: https://doi.org/10.5194/hess-25-1617-2021

Ren, H., Amezcua, J. and Van Leeuwen, P. J. (2021) Effects of misspecified time-correlated model error in the (ensemble) Kalman Smoother. Quarterly Journal of the Royal Meteorological Society, 147 (734). pp. 573-588. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3934

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

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

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

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

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

Amezcua, J. and Williams, P. D. ORCID: https://orcid.org/0000-0002-9713-9820 (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

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

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

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., 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. ORCID: https://orcid.org/0000-0002-9713-9820 (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

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

Thesis

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.