bib

  1"""Bibliography/references."""
  2
  3anderson2010non = None
  4"""
  5**Anderson**, **J L** 2010 A non-Gaussian ensemble filter update
  6for data assimilation. *Monthly Weather Review*, 138(11):
  74186–4198.
  8"""
  9
 10anderson2009spatially = None
 11"""
 12**Anderson**, **J L** 2009 Spatially and temporally varying
 13adaptive covariance inflation for ensemble filters. *Tellus A*,
 1461(1): 72–83.
 15"""
 16
 17bengtsson2003toward = None
 18"""
 19**Bengtsson**, **T**, **Snyder**, **C**, and **Nychka**, **D**
 202003 Toward a nonlinear ensemble filter for high-dimensional
 21systems. *Journal of Geophysical Research: Atmospheres*, 108(D24).
 22"""
 23
 24bocquet2016localization = None
 25"""
 26**Bocquet**, **M** 2016 Localization and the iterative ensemble
 27Kalman smoother. *Quarterly Journal of the Royal Meteorological
 28Society*, 142(695): 1075–1089.
 29"""
 30
 31bocquet2011ensemble = None
 32"""
 33**Bocquet**, **M** 2011 Ensemble Kalman filtering without the
 34intrinsic need for inflation. *Nonlinear Processes in Geophysics*,
 3518(5): 735–750.
 36"""
 37
 38bocquet2019consistency = None
 39"""
 40**Bocquet**, **M** and **Farchi**, **A** 2019 On the consistency
 41of the local ensemble square root kalman filter perturbation
 42update. *Tellus A: Dynamic Meteorology and Oceanography*, 71(1):
 431613142.
 44"""
 45
 46bocquet2010beyond = None
 47"""
 48**Bocquet**, **M**, **Pires**, **C A**, and **Wu**, **L** 2010
 49Beyond Gaussian statistical modeling in geophysical data
 50assimilation. *Monthly Weather Review*, 138(8): 2997–3023.
 51"""
 52
 53bocquet2015expanding = None
 54"""
 55**Bocquet**, **M**, **Raanes**, **P N**, and **Hannart**, **A**
 562015 Expanding the validity of the ensemble Kalman filter without
 57the intrinsic need for inflation. *Nonlinear Processes in
 58Geophysics*, 22(6): 645–662.
 59"""
 60
 61bocquet2014iterative = None
 62"""
 63**Bocquet**, **M** and **Sakov**, **P** 2014 An iterative ensemble
 64Kalman smoother. *Quarterly Journal of the Royal Meteorological
 65Society*, 140(682): 1521–1535.
 66"""
 67
 68bocquet2013joint = None
 69"""
 70**Bocquet**, **M** and **Sakov**, **P** 2013 Joint state and
 71parameter estimation with an iterative ensemble Kalman smoother.
 72*Nonlinear Processes in Geophysics*, 20(5): 803–818.
 73"""
 74
 75bocquet2012combining = None
 76"""
 77**Bocquet**, **M** and **Sakov**, **P** 2012 Combining
 78inflation-free and iterative ensemble Kalman filters for strongly
 79nonlinear systems. *Nonlinear Processes in Geophysics*, 19(3):
 80383–399.
 81"""
 82
 83chen2003bayesian = None
 84"""
 85**Chen**, **Z** 2003 Bayesian filtering: From Kalman filters to
 86particle filters, and beyond. *Statistics*, 182(1): 1–69.
 87"""
 88
 89counillon2009application = None
 90"""
 91**Counillon**, **F**, **Sakov**, **P**, and **Bertino**, **L**
 922009 Application of a hybrid EnKF-OI to ocean forecasting.
 93"""
 94
 95doucet2001sequential = None
 96"""
 97**Doucet**, **A**, **De Freitas**, **N**, and **Gordon**, **N**
 982001 *Sequential Monte Carlo methods in practice*. Springer.
 99"""
100
101doucet2009tutorial = None
102"""
103**Doucet**, **A** and **Johansen**, **A M** 2009 A tutorial on
104particle filtering and smoothing: Fifteen years later. *Handbook
105of Nonlinear Filtering*, 656–704.
106"""
107
108emerick2012history = None
109"""
110**Emerick**, **A A** and **Reynolds**, **A C** 2012 History
111matching time-lapse seismic data using the ensemble Kalman filter
112with multiple data assimilations. *Computational Geosciences*,
11316(3): 639–659.
114"""
115
116evensen2009ensemble = None
117"""
118**Evensen**, **G** 2009 The ensemble Kalman filter for combined
119state and parameter estimation. *Control Systems, IEEE*, 29(3):
12083–104.
121"""
122
123frei2013mixture = None
124"""
125**Frei**, **M** and **Künsch**, **H R** 2013b Mixture ensemble
126kalman filters. *Computational Statistics & Data Analysis*, 58:
127127–138.
128"""
129
130frei2013bridging = None
131"""
132**Frei**, **M** and **Künsch**, **H R** 2013a Bridging the
133ensemble Kalman and particle filters. *Biometrika*, ast020.
134"""
135
136grudzien2020numerical = None
137"""
138**Grudzien**, **C**, **Bocquet**, **M**, and **Carrassi**, **A**
1392020 On the numerical integration of the lorenz-96 model, with
140scalar additive noise, for benchmark twin experiments.
141*Geoscientific Model Development*, 13(4): 1903–1924.
142"""
143
144harty2021eigenvector = None
145"""
146**Harty**, **T**, **Morzfeld**, **M**, and **Snyder**, **C** 2021
147Eigenvector-spatial localisation. *Tellus A: Dynamic Meteorology
148and Oceanography*, 73(1): 1–18.
149"""
150
151hoteit2015mitigating = None
152"""
153**Hoteit**, **I**, **Pham**, **D-T**, **Gharamti**, **M E**, and
154**Luo**, **X** 2015 Mitigating observation perturbation sampling
155errors in the stochastic EnKF. *Monthly Weather Review*, 143(7):
1562918–2936.
157"""
158
159hunt2007efficient = None
160"""
161**Hunt**, **B R**, **Kostelich**, **E J**, and **Szunyogh**, **I**
1622007 Efficient data assimilation for spatiotemporal chaos: A local
163ensemble transform Kalman filter. *Physica D: Nonlinear
164Phenomena*, 230(1): 112–126.
165"""
166
167karspeck2007experimental = None
168"""
169**Karspeck**, **A R** and **Anderson**, **J L** 2007 Experimental
170implementation of an ensemble adjustment filter for an
171intermediate ENSO model. *Journal of Climate*, 20(18): 4638–4658.
172"""
173
174van2009particle = None
175"""
176**Leeuwen**, **P J** **van** 2009 Particle filtering in
177geophysical systems. *Monthly Weather Review*, 137(12): 4089–4114.
178"""
179
180lei2011moment = None
181"""
182**Lei**, **J** and **Bickel**, **P** 2011 A moment matching
183ensemble filter for nonlinear non-Gaussian data assimilation.
184*Monthly Weather Review*, 139(12): 3964–3973.
185"""
186
187liu2001theoretical = None
188"""
189**Liu**, **J S**, **Chen**, **R**, and **Logvinenko**, **T** 2001
190A theoretical framework for sequential importance sampling with
191resampling. In: *Sequential Monte Carlo Methods in Practice*.
192Springer. pp. 225–246.
193"""
194
195lorenz2005look = None
196"""
197**Lorenz**, **E N** 2005 A look at some details of the growth of
198initial uncertainties. *Tellus A: Dynamic Meteorology and
199Oceanography*, 57(1): 1–11.
200"""
201
202lorenz1996predictability = None
203"""
204**Lorenz**, **E N** 1996 Predictability: A problem partly solved.
205In: *Proc. ECMWF Seminar on Predictability*. Reading, UK. pp.
2061–18.
207"""
208
209lorenz1984irregularity = None
210"""
211**Lorenz**, **E N** 1984 Irregularity: A fundamental property of
212the atmosphere. *Tellus A*, 36(2): 98–110.
213"""
214
215lorenz1998optimal = None
216"""
217**Lorenz**, **E N** and **Emanuel**, **K A** 1998 Optimal sites
218for supplementary weather observations: Simulation with a small
219model. *Journal of the Atmospheric Sciences*, 55(3): 399–414.
220"""
221
222lorenz2005designing = None
223"""
224**Lorenz**, **Edward N** 2005 Designing chaotic models. *Journal
225of the Atmospheric Sciences*, 62(5): 1574–1587.
226"""
227
228mandel2016hybrid = None
229"""
230**Mandel**, **J**, **Bergou**, **E**, **Gürol**, **S**,
231**Gratton**, **S**, and **Kasanický**, **I** 2016 Hybrid
232Levenberg-Marquardt and weak-constraint ensemble Kalman smoother
233method. *Nonlinear Processes in Geophysics*, 23(2): 59–73.
234"""
235
236miyoshi2011gaussian = None
237"""
238**Miyoshi**, **T** 2011 The Gaussian approach to adaptive
239covariance inflation and its implementation with the local
240ensemble transform Kalman filter. *Monthly Weather Review*,
241139(5): 1519–1535.
242"""
243
244pajonk2012deterministic = None
245"""
246**Pajonk**, **O**, **Rosić**, **B V**, **Litvinenko**, **A**, and
247**Matthies**, **H G** 2012 A deterministic filter for non-Gaussian
248Bayesian estimation—applications to dynamical system estimation
249with noisy measurements. *Physica D: Nonlinear Phenomena*, 241(7):
250775–788.
251"""
252
253pinheiro2019efficient = None
254"""
255**Pinheiro**, **F R**, **Leeuwen**, **P J** **van**, and
256**Geppert**, **G** 2019 Efficient nonlinear data assimilation
257using synchronization in a particle filter. *Quarterly Journal of
258the Royal Meteorological Society*, 145(723): 2510–2523.
259"""
260
261raanes2016thesis = None
262"""
263**Raanes**, **Patrick N** 2016 Improvements to ensemble methods
264for data assimilation in the geosciences (PhD thesis). University
265of Oxford.
266"""
267
268raanes2015rts = None
269"""
270**Raanes**, **Patrick Nima** 2016 On the ensemble
271Rauch-Tung-Striebel smoother and its equivalence to the ensemble
272Kalman smoother. *Quarterly Journal of the Royal Meteorological
273Society*, 142(696): 1259–1264.
274"""
275
276raanes2019adaptive = None
277"""
278**Raanes**, **Patrick N**, **Bocquet**, **M**, and **Carrassi**,
279**A** 2019 Adaptive covariance inflation in the ensemble Kalman
280filter by Gaussian scale mixtures. *Quarterly Journal of the Royal
281Meteorological Society*, 145(718): 53–75. DOI:
282https://doi.org/10.1002/qj.3386
283"""
284
285raanes2014ext = None
286"""
287**Raanes**, **P N**, **Carrassi**, **A**, and **Bertino**, **L**
2882015 Extending the square root method to account for model noise
289in the ensemble Kalman filter. *Monthly Weather Review*, 143(10):
2903857–3873.
291"""
292
293raanes2019revising = None
294"""
295**Raanes**, **Patrick Nima**, **Stordal**, **A S**, and
296**Evensen**, **G** 2019 Revising the stochastic iterative ensemble
297smoother. *Nonlinear Processes in Geophysics*, 26(3): 325–338.
298"""
299
300rainwater2013mixed = None
301"""
302**Rainwater**, **S** and **Hunt**, **B** 2013 Mixed-resolution
303ensemble data assimilation. *Monthly weather review*, 141(9):
3043007–3021.
305"""
306
307sakov2008implications = None
308"""
309**Sakov**, **P** and **Oke**, **P R** 2008b Implications of the
310form of the ensemble transformation in the ensemble square root
311filters. *Monthly Weather Review*, 136(3): 1042–1053.
312"""
313
314sakov2008deterministic = None
315"""
316**Sakov**, **P** and **Oke**, **P R** 2008a A deterministic
317formulation of the ensemble Kalman filter: An alternative to
318ensemble square root filters. *Tellus A*, 60(2): 361–371.
319"""
320
321sakov2012iterative = None
322"""
323**Sakov**, **P**, **Oliver**, **D S**, and **Bertino**, **L** 2012
324An iterative EnKF for strongly nonlinear systems. *Monthly Weather
325Review*, 140(6): 1988–2004.
326"""
327
328todter2015second = None
329"""
330**Tödter**, **J** and **Ahrens**, **B** 2015 A second-order exact
331ensemble square root filter for nonlinear data assimilation.
332*Monthly Weather Review*, 143(4): 1347–1367.
333"""
334
335vano2006chaos = None
336"""
337**Vano**, **J A**, **Wildenberg**, **J C**, **Anderson**, **M B**,
338**Noel**, **J K**, and **Sprott**, **J C** 2006 Chaos in
339low-dimensional Lotka–Volterra models of competition.
340*Nonlinearity*, 19(10): 2391.
341"""
342
343vissio2020mechanics = None
344"""
345**Vissio**, **G** and **Lucarini**, **V** 2020 Mechanics and
346thermodynamics of a new minimal model of the atmosphere. *The
347European Physical Journal Plus*, 135(10): 1–21.
348"""
349
350wikle2007bayesian = None
351"""
352**Wikle**, **C K** and **Berliner**, **L M** 2007 A Bayesian
353tutorial for data assimilation. *Physica D: Nonlinear Phenomena*,
354230(1-2): 1–16.
355"""
356
357wiljes2016second = None
358"""
359**Wiljes**, **J** **de**, **Acevedo**, **W**, and **Reich**, **S**
3602016 Second-order accurate ensemble transform particle filters.
361*arXiv preprint arXiv:1608.08179*.
362"""
363
364wilks2005effects = None
365"""
366**Wilks**, **D S** 2005 Effects of stochastic parametrizations in
367the Lorenz’96 system. *Quarterly Journal of the Royal
368Meteorological Society*, 131(606): 389–407.
369"""
370
371zupanski2005maximum = None
372"""
373**Zupanski**, **M** 2005 Maximum likelihood ensemble filter:
374Theoretical aspects. *Monthly Weather Review*, 133(6): 1710–1726.
375"""