Javier Amezcua

Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach

Javier Amezcua, Peter Jan van Leeuwen · Tellus A Dynamic Meteorology and Oceanography · 2014 · 71 citations · Full text

Bayesian Decision Theory, Nonlinear Filtering, Engineering +21

Implicit equal‐weights particle filter

Mengbin Zhu, Peter Jan van Leeuwen, Javier Amezcua · Quarterly Journal of the Royal Meteorological Society · 2016 · 57 citations · Full text

New Scheme, Nonlinear Filtering, Machine Learning +8

Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data

Ewan Pinnington, Javier Amezcua, Elizabeth Cooper et al. · Hydrology and earth system sciences · 2021 · 49 citations · Full text

Climatology, Meteorology, Precision Agriculture +15

Validation of three new measure-correlate-predict models for the long-term prospection of the wind resource

Alejandro Romo Perea, Javier Amezcua, Oliver Probst · Journal of Renewable and Sustainable Energy · 2011 · 40 citations · Full text

Engineering, Weather Forecasting, Wind Engineering +18

Comparing hybrid data assimilation methods on the Lorenz 1963 model with increasing non-linearity

Michael Goodliff, Javier Amezcua, Peter Jan van Leeuwen · Tellus A Dynamic Meteorology and Oceanography · 2015 · 37 citations · Full text

State Estimation, Nonlinear System Identification, Engineering +11