2002
DOI: 10.3354/cr021027
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Local versus remote grid points in climate downscaling

Abstract: The association between daily as well as monthly winter precipitation and concurrent 700 hPa heights for 3 different North American precipitation regimes was examined using correlation fields and a typing of daily 700 hPa height patterns. Wet days, regardless of circulation type, were found to be associated with negative height anomalies immediately to the west or northwest of the precipitation regions, at the 'local' grid point. These small-scale height anomalies were found to represent traveling short waves … Show more

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Cited by 26 publications
(19 citation statements)
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“…Explained variance described the correlations between precipitation and the candidate predictors, while partial correlation analysis accounted for the correlations between the candidate predictors themselves. The choice of predictor domain, which is generally little reported, has also been found to be a critical factor affecting downscaled results (Goodess and Palutikof, 1998;Benestad et al, 2001;Tomozeiu et al, 2007), especially for downscaling precipitation (Wilby and Wigley, 2000), because single-grid predictors are not necessarily related to an underlying location (Brinkmann, 2002). Therefore, multi-grid predictor domains were selected for each observed station in the application of SDSM.…”
Section: Choice Of Predictors and Predictor Domainsmentioning
confidence: 99%
“…Explained variance described the correlations between precipitation and the candidate predictors, while partial correlation analysis accounted for the correlations between the candidate predictors themselves. The choice of predictor domain, which is generally little reported, has also been found to be a critical factor affecting downscaled results (Goodess and Palutikof, 1998;Benestad et al, 2001;Tomozeiu et al, 2007), especially for downscaling precipitation (Wilby and Wigley, 2000), because single-grid predictors are not necessarily related to an underlying location (Brinkmann, 2002). Therefore, multi-grid predictor domains were selected for each observed station in the application of SDSM.…”
Section: Choice Of Predictors and Predictor Domainsmentioning
confidence: 99%
“…[12] Only a few studies have systematically assessed the skill of different predictors in terms of variable types [e.g., Cavazos and Hewitson, 2005] or downscaling domain [e.g., Brinkmann, 2002], and there is no consensus on the most appropriate choice [Fowler et al, 2007]. ESD is based on the following three assumptions for suitable predictors [e.g., Benestad et al, 2008].…”
Section: Choice Of Predictor Fieldsmentioning
confidence: 99%
“…However, this is generally ignored (Benestad, 2001). A study by Brinkmann (2002) suggests that, for studies where only one grid point is used, the optimum grid point location for downscaling may be a function of the timescale under consideration and is not necessarily related solely to location. Additionally, large-scale circulation patterns over the predictor domain may not capture small-scale processes; these may result from variability in neighbouring locations.…”
Section: Statistical Downscalingmentioning
confidence: 99%