Downscaling ability of one-way nested regional climate models: the Big-Brother Experiment
By B. Denis, R. Laprise, D. Caya, J. Côte. 2001
337 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/ba9b5d1e74dda319154c0265cf97e26ded82ee36
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Citations in the corpus
- 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).”
- Spectral nudging in a spectral regional climate model (2008, methodology): “Its climate version has been developed in the 90s (see Déqué et al., 1994). ARPEGE climate version has been used as the atmosphere part of the Météo-France earth modelling system (atmosphere, ocean, land-surface and sea-ice) for IPCC (2007). The full system is described by Salas y Mélia et al. (2005”
- Enhanced Detectability of Added Value in Limited-Area Model Results Separated into Different Spatial Scales (2006, background): “These constraints are taken from either global model scenarios (e.g., Christensen and Christen-sen 2003) or from global reanalyses (e.g., Feser et al. features [such as fronts or mesoscale disturbances (e.g., Denis et al. 2002)].”
- Regional climate model sensitivity to domain size (2006, methodology): “The methodology presented here is inspired from Denis et al. (2002b) in order to use the "BigBrother" protocol for testing the sensitivity of a RCM to the size of its domain.”
- Regional climate modelling (2008, methodology): “The BBE protocol has been used for several experiments at UQÁM ([24,25,4,29]), for the winter and summer seasons, and for domains over the East and West coast of North America.”
- A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges (2015, methodology): “A useful tool to investigate the potential added value is the decomposition of the variance of atmospheric fields into contributions from different wavelengths [e.g., Denis et al., 2002].”
- Does applying quantile mapping to subsamples improve the bias correction of daily precipitation? (2018, methodology): “Parametric and semi-parametric QM methods require a dry-day correction prior to the distribution fitting for wet days, since RCMs typically simulate too few dry days due to the ‘drizzle effect’ (Denis et al., 2002; Boberg et al., 2008).”
- Regional climate models add value to global model data, A Review and Selected Examples (2011, background): “Denis et al. (2002) developed a rather idealized way of testing the downscaling ability of nested RCMs called the Big-Brother Experiment.”