Journal cover Journal topic
Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 1.558
IF1.558
IF 5-year value: 1.475
IF 5-year
1.475
CiteScore value: 2.8
CiteScore
2.8
SNIP value: 0.921
SNIP0.921
IPP value: 1.56
IPP1.56
SJR value: 0.571
SJR0.571
Scimago H <br class='widget-line-break'>index value: 55
Scimago H
index
55
h5-index value: 22
h5-index22
Volume 23, issue 6
Nonlin. Processes Geophys., 23, 391–405, 2016
https://doi.org/10.5194/npg-23-391-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 23, 391–405, 2016
https://doi.org/10.5194/npg-23-391-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 04 Nov 2016

Research article | 04 Nov 2016

A local particle filter for high-dimensional geophysical systems

Stephen G. Penny and Takemasa Miyoshi

Related authors

The local ensemble transform Kalman filter and the running-in-place algorithm applied to a global ocean general circulation model
S. G. Penny, E. Kalnay, J. A. Carton, B. R. Hunt, K. Ide, T. Miyoshi, and G. A. Chepurin
Nonlin. Processes Geophys., 20, 1031–1046, https://doi.org/10.5194/npg-20-1031-2013,https://doi.org/10.5194/npg-20-1031-2013, 2013

Related subject area

Subject: Predictability, Data Assimilation | Topic: Climate, Atmosphere, Ocean, Hydrology, Cryosphere, Biosphere
From research to applications – examples of operational ensemble post-processing in France using machine learning
Maxime Taillardat and Olivier Mestre
Nonlin. Processes Geophys., 27, 329–347, https://doi.org/10.5194/npg-27-329-2020,https://doi.org/10.5194/npg-27-329-2020, 2020
Short summary
Correcting for model changes in statistical postprocessing – an approach based on response theory
Jonathan Demaeyer and Stéphane Vannitsem
Nonlin. Processes Geophys., 27, 307–327, https://doi.org/10.5194/npg-27-307-2020,https://doi.org/10.5194/npg-27-307-2020, 2020
Short summary
Brief communication: Residence time of energy in the atmosphere
Carlos Osácar, Manuel Membrado, and Amalio Fernández-Pacheco
Nonlin. Processes Geophys., 27, 235–237, https://doi.org/10.5194/npg-27-235-2020,https://doi.org/10.5194/npg-27-235-2020, 2020
Short summary
Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales
Michiel Van Ginderachter, Daan Degrauwe, Stéphane Vannitsem, and Piet Termonia
Nonlin. Processes Geophys., 27, 187–207, https://doi.org/10.5194/npg-27-187-2020,https://doi.org/10.5194/npg-27-187-2020, 2020
Short summary
Data-driven versus self-similar parameterizations for stochastic advection by Lie transport and location uncertainty
Valentin Resseguier, Wei Pan, and Baylor Fox-Kemper
Nonlin. Processes Geophys., 27, 209–234, https://doi.org/10.5194/npg-27-209-2020,https://doi.org/10.5194/npg-27-209-2020, 2020
Short summary

Cited articles

Abarbanel, H. D. I., Creveling, D. R., Farsian, R., and Kostuk, M.: Dynamical State and Parameter Estimation, SIAM J. Appl. Dyn. Syst., 8, 1341–1381, https://doi.org/10.1137/090749761, 2009.
Ades, M. and van Leeuwen, P. J.: An exploration of the equivalent weights particle filter, Q. J. Roy. Meteorol. Soc., 139, 820–840, 2013.
Anderson, J.: An ensemble adjustment kalman filter for data assimilation, Mon. Weather Rev., 129, 2884–2903, 2001.
Atkins, E., Morzfeld, M., and Chorin, A. J.: Implicit Particle Methods and their Connection with Variational Data Assimilation, Mon. Weather Rev., 141, 1786–1803, 2013.
Bengtsson, T., Snyder, C., and Nychka, D.: Toward a nonlinear ensemble filter for high-dimensional systems, J. Geophys. Res., 108, STS2.1–STS2.10, 2003.
Publications Copernicus
Download
Short summary
Particle filters in their basic form have been shown to be unusable for large geophysical systems because the number of required particles grows exponentially with the size of the system. We have applied the ideas of localized analyses at each model grid point and use ensemble weight smoothing to blend each local analysis with its neighbors. This new local particle filter (LPF) makes large geophysical applications tractable for particle filters and is competitive with a popular EnKF alternative.
Particle filters in their basic form have been shown to be unusable for large geophysical...
Citation