Climatic Variability in Sixteenth-Century Europe and Its Social Dimension 1999
DOI: 10.1007/978-94-015-9259-8_6
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Seasonal Temperature and Precipitation Fluctuations in Selected Parts of Europe During the Sixteenth Century

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Cited by 46 publications
(43 citation statements)
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“…Glaser et al 1999; from various European areas are used in what is termed a ''reverse specification'' (Klein and Dai 1998) to statistically reconstruct the 500 hPa geopotential height fields. A principal component regression analysis is used to derive the statistical relationships between the climate information (predictors) and the NCEPreanalysis data (Kalnay et al 1996;Kistler et al 2001) during the calibration period 1948-1990.…”
Section: Datamentioning
confidence: 99%
“…Glaser et al 1999; from various European areas are used in what is termed a ''reverse specification'' (Klein and Dai 1998) to statistically reconstruct the 500 hPa geopotential height fields. A principal component regression analysis is used to derive the statistical relationships between the climate information (predictors) and the NCEPreanalysis data (Kalnay et al 1996;Kistler et al 2001) during the calibration period 1948-1990.…”
Section: Datamentioning
confidence: 99%
“…These researchers studied areas located to the south of our study area, and they utilised annual cereal production data and information conserved in the cathedral of Toledo concerning rogation ceremonies. Among publications related to the 16th century in Europe, those of Glaser et al (1999) report fluctuations in temperature and precipitation, while those of Brázdil et al (1999) concern flooding events. Global overviews of the methodology and interpretation of historical climatology during past centuries in Europe can be found in individual works (Pfister, 1984;Pfister and Brazdil, 1999;Glaser, 2001Glaser, , 2008 and in collective works (Garcia-Herrera et al, 2005;Brázdil et al, 2006;Glaser et al, 2010;.…”
Section: Introductionmentioning
confidence: 99%
“…2b)Ðmostly on a seasonal resolutionÐare available (red triangles). These seasonal predictors based on documentary data were prepared according to the method outlined in Glaser et al (1999). This involved constructing timeseries of categorized intensities of some parameter (e.g.…”
Section: Introductionmentioning
confidence: 99%