Improved Understanding of Past Climatic Variability From Early Daily European Instrumental Sources 2002
DOI: 10.1007/978-94-010-0371-1_10
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The Long-Term Daily Central Belgium Temperature (CBT) Series (1767–1998) and Early Instrumental Meteorological Observations in Belgium

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Cited by 21 publications
(21 citation statements)
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“…Although several countries have undertaken efforts to aggregate old measurements from different series to a long-term temperature series, the results are usually only developed for a certain location and presented as point station data. Examples are the Central Belgium Temperature (CBT) series (Demarée et al, 2002) which runs from 1767 onward and the so-called Zwanenburg/de Bilt (Labrijn, 1945) series for the Netherlands, which runs from 1706. The reason for not making a composite series similar to CET is that the stations that underlie the series are usually not very far from each other.…”
Section: Introductionmentioning
confidence: 99%
“…Although several countries have undertaken efforts to aggregate old measurements from different series to a long-term temperature series, the results are usually only developed for a certain location and presented as point station data. Examples are the Central Belgium Temperature (CBT) series (Demarée et al, 2002) which runs from 1767 onward and the so-called Zwanenburg/de Bilt (Labrijn, 1945) series for the Netherlands, which runs from 1706. The reason for not making a composite series similar to CET is that the stations that underlie the series are usually not very far from each other.…”
Section: Introductionmentioning
confidence: 99%
“…Climate change has occurred quite homogeneously all over Belgium since the beginning of the 19th century. Between 1930 and 2008, temperatures have increased abruptly by about 1 °C at the end of the 1980s [39,40]. In Figure 7.…”
Section: Discussionmentioning
confidence: 99%
“…Climate change has occurred quite homogeneously all over Belgium since the beginning of the 19th century. Between 1930 and 2008, temperatures have increased abruptly by about 1˝C at the end of the 1980s [39,40]. In the last decades, the increasing frequency and intensity of heat waves and related droughts have induced numerous and unusual reductions of beech yearly growth, and have led to remarkable synchronizations of beech tree growth at the regional scale [32].…”
Section: Discussionmentioning
confidence: 99%
“…Without assurance of homogeneity, trend estimates are unreliable and artifacts in longterm observations and rural/urban differences can be introduced and thus may bias the estimate of the UHI. For this reason, the assumption that the three rural subseries could be linked to constitute a reference rural series is tested with respect to homogeneity (details about the homogenization of the time series of Uccle can be found in Demarée et al (2002)). Following the guidelines described in Wijngaard et al (2003), the four methods selected to test the departure of homogeneity in the time series are: the standard normal homogeneity test for a single break, the Buishand range test, the Pettitt test, and the Von Neumann ratio test.…”
Section: Homogeneity Testing Of the Rural Seriesmentioning
confidence: 99%