Number of items: 25.
Article
Lee, J. C. K., Amezcua, J. and Bannister, R. N. ORCID: https://orcid.org/0000-0002-6846-8297
(2024)
Variable-dependent and selective multivariate localization for ensemble-variational data assimilation in the tropics.
Monthly Weather Review, 152 (4).
pp. 1097-1118.
ISSN 1520-0493
doi: https://doi.org/10.1175/MWR-D-23-0201.1
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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0001-8179-6220
(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.
This list was generated on Sun Dec 8 08:35:55 2024 UTC.