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Bocquet M, Pires CA, Wu L (2010) Beyond Gaussian statistical modeling in geophysical data
assimilation. Mon Wea Rev 138:2997-3023
Cover TM, Thomas JA (2006) Elements of information theory, 2nd edn. Wiley, Hoboken, 776 pp
Daley R (1993) Atmospheric data analysis. Cambridge University Press, Cambridge, 472 pp
Dee DP, Uppala S (2009) Variational bias correction of satellite radiance data in the ERA-Interim
reanalysis. Q J Roy Meteorol Soc 135:1830-1841
Errico RM, Ohring G, Bauer P, Ferrier B, Mahfouf J-F, Turk J, Weng F (2007a) Assimilation
of satellite cloud and precipitation observations in numerical weather prediction models:
introduction to JAS special collection. J Atmos Sci 64:3737-3741
Errrico RM, Bauer P, Mahfouf JF (2007b) Issues regarding the assimilation of cloud and
precipitation data. J Atmos Sci 64:3785-3798
Evensen G (2003) The ensemble Kalman filter: theoretical formulation and practical implementa-
tion. Ocean Dyn 53:343-367
Evensen G (2009) Data assimilation: the ensemble Kalman filter. Springer, Berlin/Heideberg,
p 307
Evensen G, van Leeuwen PJ (2000) An ensemble Kalman smoother for nonlinear dynamics. Mon
Wea Rev 128:1852-1867
Fertig EJ, Hunt BR, Ott E, Szunyogh I (2007) Assimilating non-local observations with a local
ensemble Kalman filter. Tellus 59A:719-730
Fletcher SJ, Zupanski M (2006a) A hybrid normal and lognormal distribution for data assimilation.
Atmos Sci Lett 7:43-46
Fletcher SJ, Zupanski M (2006b) A data assimilation method for log-normally distributed
observational errors. Q J Roy Meteorol Soc 132:2505-2519
Fletcher SJ, Zupanski M (2008) Implications and impacts of transforming lognormal variables into
normal variables in VAR. Met Zeit 16:755-765
Gaspari G, Cohn SE (1999) Construction of correlation functions in two and three dimensions.
Q J Roy Meteorol Soc 125:723-757
Geer A, Bauer P, Geer A, Lopez P (2010) Direct 4D-Var assimilation of all- sky radiances. Part II:
assessment. Q J Roy Meteorol Soc 136A:1886-1905
Geer A, Bauer P (2010) Enhanced use of all-sky microwave observations sensitive to water vapour,
cloud and precipitation. ECMWF Tech Memorandum 620:41
Golub GH, and van Loan CF (1989) Matrix computations. The John Hopkins University Press,
Baltimore, p 642
Gordon NJ, Salmond DJ, Smith AFM (1993) Novel approach to nonlinear/non-Gaussian Bayesian
state estimation. IEE Proc 140:107-113
Gu Y, Oliver DS (2007) An iterative ensemble Kalman filter for multiphase fluid flow data
assimilation. SPE J 12:438-446
Haarala M, Miettinen K, Makela MM (2004) New limited memory bundle method for large-scale
nonsmooth optimization. Optim Meth Softw 19:673-692
Hamill T, Whitaker J, Snyder C (2001) Distance-dependent filtering of background error covari-
ance estimates in an ensemble Kalman filter. Mon Wea Rev 129:2776-2790
Harris BA, Kelly G (2001) A satellite radiance-bias correction scheme for data assimilation.
Q J Roy Meteorol Soc 127:1453-1468
Houtekamer P, Mitchell H (2001) A sequential ensemble Kalman filter for atmospheric data
assimilation. Mon Wea Rev 129:123-136
Huang X-Y, et al (2009) Four-dimensional variational data assimilation for WRF: formulation and
preliminary results. Mon Wea Rev 137:299-314
Jazwinski AH (1970) Stochastic processes and filtering theory. Academic, San Diego, 376 pp
Kalnay
E
(2003)
Atmospheric
modeling,
data
assimilation
and
predictability.
Cambridge
University Press, Cambridge, 341 p
Karmitsa N, Bagirov A, Makela MM (2012) Comparing different nonsmooth minimization
methods and software. Optim Meth Softw 27:131-153
Kullback S, Leibler RA (1951) On information and sufficiency. Annals Math Stat 22:79-86
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