Exploring the limits of ensemble forecasting via solutions of the Liouville equation for realistic geophysical models
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Berner, J., Achatz, U., Batté, L., coauthors, 2017. Stochastic parameterization toward a new view of weather and climate models. Bull. Amer. Meteor. Soc. 98, 565–587. doi: https://doi.org/10.1175/BAMS-D-15-00268.1.
Buizza, 1995, The singular-vector structure of the atmospheric global circulation, J. Atmos. Sci., 52, 1434, 10.1175/1520-0469(1995)052<1434:TSVSOT>2.0.CO;2
Buizza, 1999, Stochastic representation of model uncertainties in the ECMWF Ensemble Prediction System, Quart. J. Roy. Meteor. Soc, 125, 2887, 10.1002/qj.49712556006
Carrassi, 2018, Data assimilation in the geosciences: an overview of methods, issues, and perspectives, Wiley Interdiscip. Rev. Clim. Chang., 9, 1, 10.1002/wcc.535
Charney, 1951, Dynamic forecasting by numerical process, 471
Cushman-Roisin, 1987, Exact analytical solutions for elliptical vortices of the shallow-water equations, Tellus, 39, 235, 10.3402/tellusa.v39i3.11756
Cushman-Roisin, 1985, Oscillations and rotations of elliptical warm-core rings, J. Geophys. Res., 90, 11756, 10.1029/JC090iC06p11756
Ehrendorfer, 1994, The Liouville equation and its potential usefulness for the prediction of forecast skill. Part i: Theory, Mon. Weather Rev., 122, 703, 10.1175/1520-0493(1994)122<0703:TLEAIP>2.0.CO;2
Ehrendorfer, 1994, The Liouville equation and its potential usefulness for the prediction of forecast skill. Part ii: applications, Mon. Weather Rev., 122, 714, 10.1175/1520-0493(1994)122<0714:TLEAIP>2.0.CO;2
Ehrendorfer, 2006, The Liouville equation in atmospheric predictability, 59
Epstein, 1969, Stochastic dynamic prediction, Tellus, 21, 739, 10.3402/tellusa.v21i6.10143
Garret, 2019, Analytical solutions for precipitation size distributions at steady state, J. Atmos. Sci., 76, 1031, 10.1175/JAS-D-18-0309.1
Harrison, 1999, Analysis and model dependencies in medium-range ensembles: two transplant case-studies, Quart. J. Roy. Meteor. Soc., 125, 2487, 10.1002/qj.49712555908
Hasselmann, 1976, Stochastic climate models part i. theory, Tellus, 125, 2487
Leith, 1974, Theoretical skill of Monte Carlo forecasts, Mon. Weather Rev., 102, 409, 10.1175/1520-0493(1974)102<0409:TSOMCF>2.0.CO;2
Leutbecher, 2017, Stochastic representations of model uncertainties at ECMWF: state of the art and future vision, Quart. J. Roy. Meteor. Soc., 143, 2315, 10.1002/qj.3094
Lorenz, 1960, Maximum simplification of the dynamic equations, Tellus, 12, 243, 10.3402/tellusa.v12i3.9406
Lorenz, 1963, Deterministic nonperiodic flow, J. Atmos. Sci., 20, 130, 10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2
Molteni, 1996, The ECMWF ensemble prediction system: methodology and validation, Quart. J. Roy. Meteor. Soc., 122, 73, 10.1002/qj.49712252905
Paegle, 1977, The time behaviour of the probability density function of some simplified atmospheric flows, J. Atmos. Sci., 34, 979, 10.1175/1520-0469(1977)034<0979:TTBOTP>2.0.CO;2
Palmer, 2000, Predicting uncertainty in forecasts of weather and climate, 71
Pannekoucke, 2020, PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations, Geosci. Model Dev., 10.5194/gmd-13-3373-2020
Pannekoucke, 2018, Parametric covariance dynamics for the nonlinear diffusive Burgers equation, Nonlin. Process. Geophys., 25, 481, 10.5194/npg-25-481-2018
Penrose, 1989
Pitcher, 1977, Application of stochastic dynamic prediction to real data, J. Atmos. Sci., 34, 3, 10.1175/1520-0469(1977)034<0003:AOSDPT>2.0.CO;2
Thompson, 1957, Uncertainty of initial state as a factor in the predictability of large scale atmospheric flow patterns, Tellus, 9, 275, 10.1111/j.2153-3490.1957.tb01885.x
Thompson, 1985, A statistical-hydrodynamical approach to problems of climate and its evolution, Tellus, 37, 1, 10.3402/tellusa.v37i1.11650
Toth, 1993, Ensemble forecasting at NMC: the generation of perturbations, Bull. Amer. Meteor. Soc., 74, 2317, 10.1175/1520-0477(1993)074<2317:EFANTG>2.0.CO;2
Toth, 1997, Ensemble forecasting at NCEP and the breeding method, Mon. Weather Rev., 125, 3297, 10.1175/1520-0493(1997)125<3297:EFANAT>2.0.CO;2
WMO, 2012
Yano, 2017, Convective initiation uncertainties without trigger or stochasticity: probabilistic description by the Liouville equation and Bayes’ theorem, Quart. J. Roy. Meteor. Soc., 143, 2025, 10.1002/qj.3064
Yano, 2018, Scientific challenges of convective-scale numerical weather prediction, Bull. Amer. Meteor. Soc., 99, 699, 10.1175/BAMS-D-17-0125.1
Zeng, 1993, Chaos theory and its applications to the atmosphere, Bull. Amer. Meteor. Soc., 74, 631, 10.1175/1520-0477(1993)074<0631:CTAIAT>2.0.CO;2
Zwillinger, 1989