Predictability of a Nested Limited-Area Model

By René Laprise, M.R. Varma, B. Denis, D. Caya, I. Zawadzki. 2000

55 citations recorded by the source corpus.

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Atmospheric Predictability at Synoptic Versus Cloud-Resolving Scales (2007, unknown): “Theoretically, it may be argued that cloud-resolving simulations are especially meant to improve the forecast of those scales that are not contained in the lateral boundary conditions (Laprise et al. 2000).”
Effects of Coarsely Resolved and Temporally Interpolated Lateral Boundary Conditions on the Dispersion of Limited-Area Ensemble Forecasts (2004, methodology): “Following a ‘‘big brother’’ methodology (Vukicevic and Paegle 1989; Laprise et al. 2000; De Elı́a and Laprise 2002; Denis et al. 2002b, 2003), an appropriate high-resolution model is used to construct a known truth on a global, or laterally unbounded domain.”
Downscaling ability of one-way nested regional climate models: the Big-Brother Experiment (2001, background): “Laprise et al. (2000) looked at the predictably as a function of scales in a nested LAM and noted that there is little deterministic predictability for scales not present in the initial and boundary conditions.”
Spectral Decomposition of Two-Dimensional Atmospheric Fields on Limited-Area Domains Using the Discrete Cosine Transform (DCT) (2002, methodology): “The DCT has also been used for diagnosing the CRCM climate simulations (Denis et al. 2002), and in short-term predictability studies (Laprise et al. 2000; de Elı́a et al. 2002).”