Enhanced Detectability of Added Value in Limited-Area Model Results Separated into Different Spatial Scales
By F. Feser. 2006
110 citations recorded by the source corpus.
Abstract Regional climate models (RCMs) are a widely used tool to describe regional-scale climate variability and change. However, the added value provided by such models is not well explored so far, and claims have been made that RCMs have little utility. Here, it is demonstrated that RCMs are indeed returning significant added value. Employing appropriate spatial filters, the scale-dependent skill of a state-of-the-art RCM (with and without nudging of large scales) is examined by comparing its skill with that of the global reanalyses driving the RCM. This skill is measured by pattern correlation coefficients of the global reanalyses or the RCM simulation and, as a reference, of an operational regional weather analysis. For the spatially smooth variable air pressure the RCM improves this aspect of the simulation for the medium scales if the RCM is driven with large-scale constraints, but not for the large scales. For the regionally more structured quantity near-surface temperature the added value is more...
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/622c20024800093ecaafcbb23a3fcb1d75612af3
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- The Added Value Index: A new metric to quantify the added value of regional models (2011, background): “The merits and demerits of regional models have been discussed by 35 many (Anthes et al, 1989; de Elía and Laprise, 2003; Castro, 2005; Feser, 2006; Rockel et al, 36 2008; Prömmel et al, 2009; Winterfeldt and Weisse, 2009 ).”
- Dynamical downscaling: Assessment of model system dependent retained and added variability for two different regional climate models (2008, background): “the one by Feser [2006] can give additional information.”
- A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges (2015, background): “The fully compressible equations are most common as they are applicable from the global to the mesoscale without any approximations.”
- Regional climate modelling (2008, background): “Hence it makes sense to seek for the added value of RCMs in the scales that are unresolved in the LBC (henceforth referred to as ''small scales'') ([65] [35] [36]).”
- Regional climate models add value to global model data, A Review and Selected Examples (2011, methodology): “The scale separation discussed here was performed using the digital filter described in Feser and von Storch (2005). The scale-dependent skill of a state-of-the-art RCM was examined by computing pattern correlation coefficients between spatially filtered global reanalyses, RCM simulations (with and ”