1986
DOI: 10.1111/j.1467-8306.1986.tb00126.x
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A Synoptic Climatological Approach For Geographical Analysis: Assessment of Sulfur Dioxide Concentrations

Abstract: The popularity of using synoptic climatological approaches to evaluate environmental problems has undergone a recent resurgence, and several objective procedures have been developed. The purpose of this study is to propose an objective methodology to characterize air masses at a given locale and to show that a holistic synoptic approach may provide better results than traditional statistical approaches in evaluating the impact of climate on sulfur dioxide concentrations. The relationships between individual we… Show more

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Cited by 172 publications
(146 citation statements)
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“…Hence, the sample size n is replaced by an effective (smaller) sample size n eff that returns the Pearson correlation coefficient with its respective "adjusted" level of significance (Santer et al, 2000). Previous works have stressed the existence of temporal lags on the relations between air quality and meteorological variables (Kalkstein and Corrigan, 1986;Styer et al, 1995;Ziomas et al, 1995;Cheng and Lam, 2000). In order and SWD changes from positive to negative values.…”
Section: Diurnal Seasonal and Annual Cyclesmentioning
confidence: 99%
“…Hence, the sample size n is replaced by an effective (smaller) sample size n eff that returns the Pearson correlation coefficient with its respective "adjusted" level of significance (Santer et al, 2000). Previous works have stressed the existence of temporal lags on the relations between air quality and meteorological variables (Kalkstein and Corrigan, 1986;Styer et al, 1995;Ziomas et al, 1995;Cheng and Lam, 2000). In order and SWD changes from positive to negative values.…”
Section: Diurnal Seasonal and Annual Cyclesmentioning
confidence: 99%
“…Clustering procedures group days with similar component scores and assign each day into a meteorologically homogeneous subset of the data (Greene et al, 1999;Kalkstein and Corrigan, 1986;Shahgedanova et al, 1998). The component scores matrix (number of days times the number of retained PCs) obtained from PCA served as the input matrix for cluster analysis.…”
Section: Cluster Analysismentioning
confidence: 99%
“…These include such procedures as correlation-based map patterns (Lund, 1963), and a variety of eigenvector-based techniques (e.g. the temporal synoptic index (Kalkstein and Corrigan, 1986), which incorporates principal components analysis and cluster analysis). With all of these systems, once some initial thresholds are set, a computer then creates classification groups and assigns individual cases entirely based on statistical criteria.…”
Section: Introductionmentioning
confidence: 99%