Module bib

Bibliography/references.

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"""Bibliography/references."""

anderson2010non = None
"""
**Anderson**, **J L** 2010 A non-Gaussian ensemble filter update
for data assimilation. *Monthly Weather Review*, 138(11):
4186–4198.
"""

anderson2009spatially = None
"""
**Anderson**, **J L** 2009 Spatially and temporally varying
adaptive covariance inflation for ensemble filters. *Tellus A*,
61(1): 72–83.
"""

bengtsson2003toward = None
"""
**Bengtsson**, **T**, **Snyder**, **C**, and **Nychka**, **D**
2003 Toward a nonlinear ensemble filter for high-dimensional
systems. *Journal of Geophysical Research: Atmospheres*, 108(D24).
"""

bocquet2016localization = None
"""
**Bocquet**, **M** 2016 Localization and the iterative ensemble
Kalman smoother. *Quarterly Journal of the Royal Meteorological
Society*, 142(695): 1075–1089.
"""

bocquet2011ensemble = None
"""
**Bocquet**, **M** 2011 Ensemble Kalman filtering without the
intrinsic need for inflation. *Nonlinear Processes in Geophysics*,
18(5): 735–750.
"""

bocquet2019consistency = None
"""
**Bocquet**, **M** and **Farchi**, **A** 2019 On the consistency
of the local ensemble square root kalman filter perturbation
update. *Tellus A: Dynamic Meteorology and Oceanography*, 71(1):
1613142.
"""

bocquet2010beyond = None
"""
**Bocquet**, **M**, **Pires**, **C A**, and **Wu**, **L** 2010
Beyond Gaussian statistical modeling in geophysical data
assimilation. *Monthly Weather Review*, 138(8): 2997–3023.
"""

bocquet2015expanding = None
"""
**Bocquet**, **M**, **Raanes**, **P N**, and **Hannart**, **A**
2015 Expanding the validity of the ensemble Kalman filter without
the intrinsic need for inflation. *Nonlinear Processes in
Geophysics*, 22(6): 645–662.
"""

bocquet2014iterative = None
"""
**Bocquet**, **M** and **Sakov**, **P** 2014 An iterative ensemble
Kalman smoother. *Quarterly Journal of the Royal Meteorological
Society*, 140(682): 1521–1535.
"""

bocquet2013joint = None
"""
**Bocquet**, **M** and **Sakov**, **P** 2013 Joint state and
parameter estimation with an iterative ensemble Kalman smoother.
*Nonlinear Processes in Geophysics*, 20(5): 803–818.
"""

bocquet2012combining = None
"""
**Bocquet**, **M** and **Sakov**, **P** 2012 Combining
inflation-free and iterative ensemble Kalman filters for strongly
nonlinear systems. *Nonlinear Processes in Geophysics*, 19(3):
383–399.
"""

chen2003bayesian = None
"""
**Chen**, **Z** 2003 Bayesian filtering: From Kalman filters to
particle filters, and beyond. *Statistics*, 182(1): 1–69.
"""

counillon2009application = None
"""
**Counillon**, **F**, **Sakov**, **P**, and **Bertino**, **L**
2009 Application of a hybrid EnKF-OI to ocean forecasting.
"""

doucet2001sequential = None
"""
**Doucet**, **A**, **De Freitas**, **N**, and **Gordon**, **N**
2001 *Sequential Monte Carlo methods in practice*. Springer.
"""

doucet2009tutorial = None
"""
**Doucet**, **A** and **Johansen**, **A M** 2009 A tutorial on
particle filtering and smoothing: Fifteen years later. *Handbook
of Nonlinear Filtering*, 656–704.
"""

emerick2012history = None
"""
**Emerick**, **A A** and **Reynolds**, **A C** 2012 History
matching time-lapse seismic data using the ensemble Kalman filter
with multiple data assimilations. *Computational Geosciences*,
16(3): 639–659.
"""

evensen2009ensemble = None
"""
**Evensen**, **G** 2009 The ensemble Kalman filter for combined
state and parameter estimation. *Control Systems, IEEE*, 29(3):
83–104.
"""

frei2013mixture = None
"""
**Frei**, **M** and **Künsch**, **H R** 2013b Mixture ensemble
kalman filters. *Computational Statistics & Data Analysis*, 58:
127–138.
"""

frei2013bridging = None
"""
**Frei**, **M** and **Künsch**, **H R** 2013a Bridging the
ensemble Kalman and particle filters. *Biometrika*, ast020.
"""

hoteit2015mitigating = None
"""
**Hoteit**, **I**, **Pham**, **D-T**, **Gharamti**, **M E**, and
**Luo**, **X** 2015 Mitigating observation perturbation sampling
errors in the stochastic EnKF. *Monthly Weather Review*, 143(7):
2918–2936.
"""

hunt2007efficient = None
"""
**Hunt**, **B R**, **Kostelich**, **E J**, and **Szunyogh**, **I**
2007 Efficient data assimilation for spatiotemporal chaos: A local
ensemble transform Kalman filter. *Physica D: Nonlinear
Phenomena*, 230(1): 112–126.
"""

karspeck2007experimental = None
"""
**Karspeck**, **A R** and **Anderson**, **J L** 2007 Experimental
implementation of an ensemble adjustment filter for an
intermediate ENSO model. *Journal of Climate*, 20(18): 4638–4658.
"""

van2009particle = None
"""
**Leeuwen**, **P J** **van** 2009 Particle filtering in
geophysical systems. *Monthly Weather Review*, 137(12): 4089–4114.
"""

lei2011moment = None
"""
**Lei**, **J** and **Bickel**, **P** 2011 A moment matching
ensemble filter for nonlinear non-Gaussian data assimilation.
*Monthly Weather Review*, 139(12): 3964–3973.
"""

liu2001theoretical = None
"""
**Liu**, **J S**, **Chen**, **R**, and **Logvinenko**, **T** 2001
A theoretical framework for sequential importance sampling with
resampling. In: *Sequential Monte Carlo Methods in Practice*.
Springer. pp. 225–246.
"""

lorenz2005look = None
"""
**Lorenz**, **E N** 2005 A look at some details of the growth of
initial uncertainties. *Tellus A: Dynamic Meteorology and
Oceanography*, 57(1): 1–11.
"""

lorenz1996predictability = None
"""
**Lorenz**, **E N** 1996 Predictability: A problem partly solved.
In: *Proc. ECMWF Seminar on Predictability*. Reading, UK. pp.
1–18.
"""

lorenz1984irregularity = None
"""
**Lorenz**, **E N** 1984 Irregularity: A fundamental property of
the atmosphere. *Tellus A*, 36(2): 98–110.
"""

lorenz1998optimal = None
"""
**Lorenz**, **E N** and **Emanuel**, **K A** 1998 Optimal sites
for supplementary weather observations: Simulation with a small
model. *Journal of the Atmospheric Sciences*, 55(3): 399–414.
"""

mandel2016hybrid = None
"""
**Mandel**, **J**, **Bergou**, **E**, **Gürol**, **S**,
**Gratton**, **S**, and **Kasanický**, **I** 2016 Hybrid
Levenberg-Marquardt and weak-constraint ensemble Kalman smoother
method. *Nonlinear Processes in Geophysics*, 23(2): 59–73.
"""

miyoshi2011gaussian = None
"""
**Miyoshi**, **T** 2011 The Gaussian approach to adaptive
covariance inflation and its implementation with the local
ensemble transform Kalman filter. *Monthly Weather Review*,
139(5): 1519–1535.
"""

pajonk2012deterministic = None
"""
**Pajonk**, **O**, **Rosić**, **B V**, **Litvinenko**, **A**, and
**Matthies**, **H G** 2012 A deterministic filter for non-Gaussian
Bayesian estimation—applications to dynamical system estimation
with noisy measurements. *Physica D: Nonlinear Phenomena*, 241(7):
775–788.
"""

pinheiro2019efficient = None
"""
**Pinheiro**, **F R**, **Leeuwen**, **P J** **van**, and
**Geppert**, **G** 2019 Efficient nonlinear data assimilation
using synchronization in a particle filter. *Quarterly Journal of
the Royal Meteorological Society*, 145(723): 2510–2523.
"""

raanes2016thesis = None
"""
**Raanes**, **Patrick N** 2016 Improvements to ensemble methods
for data assimilation in the geosciences (PhD thesis). University
of Oxford.
"""

raanes2015rts = None
"""
**Raanes**, **Patrick Nima** 2016 On the ensemble
Rauch-Tung-Striebel smoother and its equivalence to the ensemble
Kalman smoother. *Quarterly Journal of the Royal Meteorological
Society*, 142(696): 1259–1264.
"""

raanes2019adaptive = None
"""
**Raanes**, **Patrick N**, **Bocquet**, **M**, and **Carrassi**,
**A** 2019 Adaptive covariance inflation in the ensemble Kalman
filter by Gaussian scale mixtures. *Quarterly Journal of the Royal
Meteorological Society*, 145(718): 53–75. DOI:
https://doi.org/10.1002/qj.3386
"""

raanes2014ext = None
"""
**Raanes**, **P N**, **Carrassi**, **A**, and **Bertino**, **L**
2015 Extending the square root method to account for model noise
in the ensemble Kalman filter. *Monthly Weather Review*, 143(10):
3857–3873.
"""

raanes2019revising = None
"""
**Raanes**, **Patrick Nima**, **Stordal**, **A S**, and
**Evensen**, **G** 2019 Revising the stochastic iterative ensemble
smoother. *Nonlinear Processes in Geophysics*, 26(3): 325–338.
"""

sakov2008implications = None
"""
**Sakov**, **P** and **Oke**, **P R** 2008b Implications of the
form of the ensemble transformation in the ensemble square root
filters. *Monthly Weather Review*, 136(3): 1042–1053.
"""

sakov2008deterministic = None
"""
**Sakov**, **P** and **Oke**, **P R** 2008a A deterministic
formulation of the ensemble Kalman filter: An alternative to
ensemble square root filters. *Tellus A*, 60(2): 361–371.
"""

sakov2012iterative = None
"""
**Sakov**, **P**, **Oliver**, **D S**, and **Bertino**, **L** 2012
An iterative EnKF for strongly nonlinear systems. *Monthly Weather
Review*, 140(6): 1988–2004.
"""

todter2015second = None
"""
**Tödter**, **J** and **Ahrens**, **B** 2015 A second-order exact
ensemble square root filter for nonlinear data assimilation.
*Monthly Weather Review*, 143(4): 1347–1367.
"""

vano2006chaos = None
"""
**Vano**, **J A**, **Wildenberg**, **J C**, **Anderson**, **M B**,
**Noel**, **J K**, and **Sprott**, **J C** 2006 Chaos in
low-dimensional Lotka–Volterra models of competition.
*Nonlinearity*, 19(10): 2391.
"""

vissio2020mechanics = None
"""
**Vissio**, **G** and **Lucarini**, **V** 2020 Mechanics and
thermodynamics of a new minimal model of the atmosphere. *The
European Physical Journal Plus*, 135(10): 1–21.
"""

wikle2007bayesian = None
"""
**Wikle**, **C K** and **Berliner**, **L M** 2007 A Bayesian
tutorial for data assimilation. *Physica D: Nonlinear Phenomena*,
230(1-2): 1–16.
"""

wiljes2016second = None
"""
**Wiljes**, **J** **de**, **Acevedo**, **W**, and **Reich**, **S**
2016 Second-order accurate ensemble transform particle filters.
*arXiv preprint arXiv:1608.08179*.
"""

wilks2005effects = None
"""
**Wilks**, **D S** 2005 Effects of stochastic parametrizations in
the Lorenz’96 system. *Quarterly Journal of the Royal
Meteorological Society*, 131(606): 389–407.
"""

zupanski2005maximum = None
"""
**Zupanski**, **M** 2005 Maximum likelihood ensemble filter:
Theoretical aspects. *Monthly Weather Review*, 133(6): 1710–1726.
"""

Global variables

var anderson2010non

Anderson, J L 2010 A non-Gaussian ensemble filter update for data assimilation. Monthly Weather Review, 138(11): 4186–4198.

var anderson2009spatially

Anderson, J L 2009 Spatially and temporally varying adaptive covariance inflation for ensemble filters. Tellus A, 61(1): 72–83.

var bengtsson2003toward

Bengtsson, T, Snyder, C, and Nychka, D 2003 Toward a nonlinear ensemble filter for high-dimensional systems. Journal of Geophysical Research: Atmospheres, 108(D24).

var bocquet2016localization

Bocquet, M 2016 Localization and the iterative ensemble Kalman smoother. Quarterly Journal of the Royal Meteorological Society, 142(695): 1075–1089.

var bocquet2011ensemble

Bocquet, M 2011 Ensemble Kalman filtering without the intrinsic need for inflation. Nonlinear Processes in Geophysics, 18(5): 735–750.

var bocquet2019consistency

Bocquet, M and Farchi, A 2019 On the consistency of the local ensemble square root kalman filter perturbation update. Tellus A: Dynamic Meteorology and Oceanography, 71(1): 1613142.

var bocquet2010beyond

Bocquet, M, Pires, C A, and Wu, L 2010 Beyond Gaussian statistical modeling in geophysical data assimilation. Monthly Weather Review, 138(8): 2997–3023.

var bocquet2015expanding

Bocquet, M, Raanes, P N, and Hannart, A 2015 Expanding the validity of the ensemble Kalman filter without the intrinsic need for inflation. Nonlinear Processes in Geophysics, 22(6): 645–662.

var bocquet2014iterative

Bocquet, M and Sakov, P 2014 An iterative ensemble Kalman smoother. Quarterly Journal of the Royal Meteorological Society, 140(682): 1521–1535.

var bocquet2013joint

Bocquet, M and Sakov, P 2013 Joint state and parameter estimation with an iterative ensemble Kalman smoother. Nonlinear Processes in Geophysics, 20(5): 803–818.

var bocquet2012combining

Bocquet, M and Sakov, P 2012 Combining inflation-free and iterative ensemble Kalman filters for strongly nonlinear systems. Nonlinear Processes in Geophysics, 19(3): 383–399.

var chen2003bayesian

Chen, Z 2003 Bayesian filtering: From Kalman filters to particle filters, and beyond. Statistics, 182(1): 1–69.

var counillon2009application

Counillon, F, Sakov, P, and Bertino, L 2009 Application of a hybrid EnKF-OI to ocean forecasting.

var doucet2001sequential

Doucet, A, De Freitas, N, and Gordon, N 2001 Sequential Monte Carlo methods in practice. Springer.

var doucet2009tutorial

Doucet, A and Johansen, A M 2009 A tutorial on particle filtering and smoothing: Fifteen years later. Handbook of Nonlinear Filtering, 656–704.

var emerick2012history

Emerick, A A and Reynolds, A C 2012 History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations. Computational Geosciences, 16(3): 639–659.

var evensen2009ensemble

Evensen, G 2009 The ensemble Kalman filter for combined state and parameter estimation. Control Systems, IEEE, 29(3): 83–104.

var frei2013mixture

Frei, M and Künsch, H R 2013b Mixture ensemble kalman filters. Computational Statistics & Data Analysis, 58: 127–138.

var frei2013bridging

Frei, M and Künsch, H R 2013a Bridging the ensemble Kalman and particle filters. Biometrika, ast020.

var hoteit2015mitigating

Hoteit, I, Pham, D-T, Gharamti, M E, and Luo, X 2015 Mitigating observation perturbation sampling errors in the stochastic EnKF. Monthly Weather Review, 143(7): 2918–2936.

var hunt2007efficient

Hunt, B R, Kostelich, E J, and Szunyogh, I 2007 Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter. Physica D: Nonlinear Phenomena, 230(1): 112–126.

var karspeck2007experimental

Karspeck, A R and Anderson, J L 2007 Experimental implementation of an ensemble adjustment filter for an intermediate ENSO model. Journal of Climate, 20(18): 4638–4658.

var van2009particle

Leeuwen, P J van 2009 Particle filtering in geophysical systems. Monthly Weather Review, 137(12): 4089–4114.

var lei2011moment

Lei, J and Bickel, P 2011 A moment matching ensemble filter for nonlinear non-Gaussian data assimilation. Monthly Weather Review, 139(12): 3964–3973.

var liu2001theoretical

Liu, J S, Chen, R, and Logvinenko, T 2001 A theoretical framework for sequential importance sampling with resampling. In: Sequential Monte Carlo Methods in Practice. Springer. pp. 225–246.

var lorenz2005look

Lorenz, E N 2005 A look at some details of the growth of initial uncertainties. Tellus A: Dynamic Meteorology and Oceanography, 57(1): 1–11.

var lorenz1996predictability

Lorenz, E N 1996 Predictability: A problem partly solved. In: Proc. ECMWF Seminar on Predictability. Reading, UK. pp. 1–18.

var lorenz1984irregularity

Lorenz, E N 1984 Irregularity: A fundamental property of the atmosphere. Tellus A, 36(2): 98–110.

var lorenz1998optimal

Lorenz, E N and Emanuel, K A 1998 Optimal sites for supplementary weather observations: Simulation with a small model. Journal of the Atmospheric Sciences, 55(3): 399–414.

var mandel2016hybrid

Mandel, J, Bergou, E, Gürol, S, Gratton, S, and Kasanický, I 2016 Hybrid Levenberg-Marquardt and weak-constraint ensemble Kalman smoother method. Nonlinear Processes in Geophysics, 23(2): 59–73.

var miyoshi2011gaussian

Miyoshi, T 2011 The Gaussian approach to adaptive covariance inflation and its implementation with the local ensemble transform Kalman filter. Monthly Weather Review, 139(5): 1519–1535.

var pajonk2012deterministic

Pajonk, O, Rosić, B V, Litvinenko, A, and Matthies, H G 2012 A deterministic filter for non-Gaussian Bayesian estimation—applications to dynamical system estimation with noisy measurements. Physica D: Nonlinear Phenomena, 241(7): 775–788.

var pinheiro2019efficient

Pinheiro, F R, Leeuwen, P J van, and Geppert, G 2019 Efficient nonlinear data assimilation using synchronization in a particle filter. Quarterly Journal of the Royal Meteorological Society, 145(723): 2510–2523.

var raanes2016thesis

Raanes, Patrick N 2016 Improvements to ensemble methods for data assimilation in the geosciences (PhD thesis). University of Oxford.

var raanes2015rts

Raanes, Patrick Nima 2016 On the ensemble Rauch-Tung-Striebel smoother and its equivalence to the ensemble Kalman smoother. Quarterly Journal of the Royal Meteorological Society, 142(696): 1259–1264.

var raanes2019adaptive

Raanes, Patrick N, Bocquet, M, and Carrassi, A 2019 Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures. Quarterly Journal of the Royal Meteorological Society, 145(718): 53–75. DOI: https://doi.org/10.1002/qj.3386

var raanes2014ext

Raanes, P N, Carrassi, A, and Bertino, L 2015 Extending the square root method to account for model noise in the ensemble Kalman filter. Monthly Weather Review, 143(10): 3857–3873.

var raanes2019revising

Raanes, Patrick Nima, Stordal, A S, and Evensen, G 2019 Revising the stochastic iterative ensemble smoother. Nonlinear Processes in Geophysics, 26(3): 325–338.

var sakov2008implications

Sakov, P and Oke, P R 2008b Implications of the form of the ensemble transformation in the ensemble square root filters. Monthly Weather Review, 136(3): 1042–1053.

var sakov2008deterministic

Sakov, P and Oke, P R 2008a A deterministic formulation of the ensemble Kalman filter: An alternative to ensemble square root filters. Tellus A, 60(2): 361–371.

var sakov2012iterative

Sakov, P, Oliver, D S, and Bertino, L 2012 An iterative EnKF for strongly nonlinear systems. Monthly Weather Review, 140(6): 1988–2004.

var todter2015second

Tödter, J and Ahrens, B 2015 A second-order exact ensemble square root filter for nonlinear data assimilation. Monthly Weather Review, 143(4): 1347–1367.

var vano2006chaos

Vano, J A, Wildenberg, J C, Anderson, M B, Noel, J K, and Sprott, J C 2006 Chaos in low-dimensional Lotka–Volterra models of competition. Nonlinearity, 19(10): 2391.

var vissio2020mechanics

Vissio, G and Lucarini, V 2020 Mechanics and thermodynamics of a new minimal model of the atmosphere. The European Physical Journal Plus, 135(10): 1–21.

var wikle2007bayesian

Wikle, C K and Berliner, L M 2007 A Bayesian tutorial for data assimilation. Physica D: Nonlinear Phenomena, 230(1-2): 1–16.

var wiljes2016second

Wiljes, J de, Acevedo, W, and Reich, S 2016 Second-order accurate ensemble transform particle filters. arXiv preprint arXiv:1608.08179.

var wilks2005effects

Wilks, D S 2005 Effects of stochastic parametrizations in the Lorenz’96 system. Quarterly Journal of the Royal Meteorological Society, 131(606): 389–407.

var zupanski2005maximum

Zupanski, M 2005 Maximum likelihood ensemble filter: Theoretical aspects. Monthly Weather Review, 133(6): 1710–1726.