Number of items: 25.
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.
(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.
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
This list was generated on Tue Oct 15 20:35:17 2024 UTC.