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Rutledge SA, Hobbs PV (1983) The mesoscale and microscale structure and organization of clouds
and precipitation in midlatitude cyclones. VIII: a model for the “seeder-feeder” process in
warm-frontal rainbands. J Atmos Sci 40:1185-1206
Rutledge SA, Hobbs PV (1984) The mesoscale and microscale structure and organization of clouds
and precipitation in midlatitude cyclones. Part XII: a diagnostic modeling study of precipitation
development in narrow cold frontal rainbands. J Atmos Sci 41:2949-2972
Sasaki Y (1970) Some basic formalisms in numerical variational analysis. Mon Weather Rev
98:875-883
Shannon C, Weaver W (1949) The mathematical theory of communication, University of Illinois
Press, Champaign, p 144
Stainforth DA et al (2005) Uncertainty in predictions of the climate response to rising levels of
greenhouse gases. Nature 433:403-406
Tamminen J (2004) Validation of nonlinear inverse algorithms with Markov chain Monte Carlo
method. J Geophys Res 109:D19303. doi:10.1029/2004JD004927
Tamminen J, Kyrola E (2001) Bayesian solution for nonlinear and non-Gaussian inverse problems
by Markov chain Monte Carlo method. J Geophys Res 106:14377-14390
Tanner MA, Wong WH (1987) The calculation of posterior distributions by data augmentation.
J Am Stat Assoc 82:528-540
Tao W-K, Scala JR, Ferrier BS, Simpson J (1995) The effect of melting processes on the
development of a tropical and a midlatitude squall line. J Atmos Sci 52:1934-1948
Tao W-K, Simpson J, Baker D, Braun S, Chou M-D, Ferrier B, Johnson D, Khain A, Lang S,
Lynn B, Shie C-L, Starr D, Sui C-H, Wang Y, Wetzel P (2003) Microphysics, radiation, and
surface processes in the Goddard Cumulus Ensemble (GCE) model. A special issue on non-
hydrostatic mesoscale modeling. Meteorol Atmos Phys 82:97-137
Tarantola A (2005) Inverse problem theory and methods for model parameter estimation. SIAM,
Philadelphia
Tierney L (1994) Markov chains for exploring posterior distributions. Ann Stat 22:1701-1762
Tokay A, Short DA (1996) Evidence from tropical raindrop spectra of the origin of rain from
stratiform versus convective clouds. J Appl Meteorol 35:355-371
van den Heever SC, Cotton WR (2004) The impact of hail size on simulated supercell storms.
J Atmos Sci 61:1596-1609
van Lier-Walqui M, Vukicevic T, Posselt DJ (2012) Quantification of cloud microphysical
parameterization uncertainty using radar reflectivity. Mon Wea Rev 140:3442-3466
Vrugt JA, Ter Braak CJF (2011) DREAM(D): an adaptive Markov chain Monte Carlo simulation
algorithm to solve discrete, noncontinuous, and combinatorial posterior parameter estimation
problems. Hydrol Earth Syst Sci 15:3701-3713
Vrugt J, Ter Braak C, Diks C, Robinson B, Hyman J, Hygdon D (2009) Accelerating Markov chain
Monte Carlo simulation using self-adaptative differential evolution with randomized subspace
sampling. Intl J Nonlinear Sci Numer Simul 10:1-12
Vukicevic T, Posselt DJ (2008) Analysis of the impact of model nonlinearities in inverse problem
solving. J Atmos Sci 65:2803-2823
Wand MP, Jones MC (1995) Kernel smoothing. Chapman and Hall/CRC, London
Wu X, Hall WD, Grabowski WW, Moncrieff MW, Collins WD, Kiehl JT (1999) Long-term
behavior of cloud systems in TOGA COARE and their interactions with radiative and surface
processes. Part II: effects of ice microphysics on cloud-radiation interaction. J Atmos Sci
56:3177-3195
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