Les dates de bans de vendange à Dijon : établissement critique et révision archivistique d'une série ancienne

Labbé, Thomas; Gaveau, Fabien

doi:10.3917/rhis.111.0019

Cited by 22 publications

(6 citation statements)

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“…As numerous civil servants have been involved in the inventory process, the quality of the data reporting may have been very variable. For instance, the Dijon GHD series was recompiled recently from municipal archives and about 25 % of the dates in the new compilation (Labbé et al, 2011) were different from the ones published in Angot (1883). Some original documents (Chobaut's collection in the multimedia library of Avignon) used in Le Roy Ladurie (1967) were also revisited; some gaps were filled in the Northern Rhône valley and Southern Rhône valley series and three new series of the Burgundy region were found: Chaignay, Marsanay-la-Côte, Marsannais-le-Bois which are respectively 18, 9 and 17-yr long.…”

Section: Grape Harvest Dates Collectionmentioning

confidence: 99%

An open-access database of grape harvest dates for climate research: data description and quality assessment

et al. 2012

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We present an open-access dataset of grape harvest dates (GHD) series that has been compiled from international, French and Spanish literature and from unpublished documentary sources from public organizations and from wine-growers. As of June 2011, this GHD dataset comprises 380 series mainly from France (93% of the data) as well as series from Switzerland, Italy, Spain and Luxemburg. The series have variable length (from 1 to 479 data, mean length of 45 data) and contain gaps of variable sizes (mean ratio of observations/series length of 0.74). The longest and most complete ones are from Burgundy, Switzerland, Southern Rhône valley, Jura and Ile-de-France. The most ancient harvest date of the dataset is in 1354 in Burgundy. The GHD series were grouped into 27 regions according to their location, to geomorphological and geological criteria, and to past and present grape varieties. The GHD regional composite series (GHD-RCS) were calculated and compared pairwise to assess their reliability assuming that series close to one another are highly correlated. Most of the pairwise correlations are significant (p-value < 0.001) and strong (mean pairwise correlation coefficient of 0.58). As expected, the correlations tend to be higher when the vineyards are closer. The highest correlation (R = 0.91) is obtained between the High Loire Valley and the Ile-de-France GHD-RCS. The strong dependence of the vine cycle on temperature and, therefore, the strong link between the harvest dates and the temperature of the growing season was also used to test the quality of the GHD series. The strongest correlations are obtained between the GHD-RCS and the temperature series of the nearest weather stations. Moreover, the GHD-RCS/temperature correlation maps show spatial patterns similar to temperature correlation maps. The stability of the correlations over time is explored. The most striking feature is their generalised deterioration at the late 19th–early 20th century. The possible effects on GHD of the phylloxera crisis, which took place at this time, are discussed. The median of all the standardized GHD-RCS was calculated. The distribution of the extreme years of this general series is not homogenous. Extremely late years all occur during a two-century long time window from the early 17th to the early 19th century, while extremely early years are frequent during the 16th and since the mid-19th century

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Section: Grape Harvest Dates Collectionmentioning

confidence: 99%

An open-access database of grape harvest dates for climate research: data description and quality assessment

et al. 2012

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“…Despite an exhaustive investigation in the local archives, 61 dates for Beaune are still missing before 1645. To fill in these lacunae, when possible we used the evidence of the corrected Dijon series (Labbé, Gaveau 2011), taking into account the 160 mean difference of days between the two raw series.…”

Section: Interpolationsmentioning

confidence: 99%

“…First, scholars have until now uncritically drawn on the data from nineteenth century publications. The original data of the Dijon series have been recently revisited directly in the local 45 archives (Labbé, Gaveau 2011) and this reassessment makes obvious that the formerly published "Dijon series" is thoroughly unreliable, due to compilation misuses. Secondly, the available Burgundian GHD dataset is not homogeneous.…”

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The longest homogeneous series of grape harvest dates, Beaune 1354–2018, and its significance for the understanding of past and present climate

Labbé¹,

Pfister²,

Brönnimann³

et al. 2019

Preprint

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Abstract. Records of grape harvest dates (GHD) are the oldest and the longest continuous phenological data in Europe. However, many available series including the well-known (Dijon) Burgundy series are error prone, because scholars so far uncritically drew the data from nineteenth century publications instead of going back to the archives. The GHD from the famous vine region of Beaune (Burgundy) were entirely drawn from the archives, critically cross checked with narrative evidence and calibrated with the long Paris temperature series comprising the 360 years from 1659 to 2018. The 664-year-long Beaune series from 1354 to 2018 is also significantly correlated with tree-ring and documentary proxy evidence as well as with the Central European temperature series (from 1500). The series is clearly subdivided into two parts. From 1354 to 1987 grapes were on average picked from 28 September on, whereby during the last 31 year long period of rapid Global Warming from 1988 to 2018 harvests began 13 days earlier. In the Paris temperature measurements since 1659, April-to-July temperature reached the highest value ever in 2018. The 33 extremely warm events comprising the 5 % percentile bracket of GHD are unevenly distributed over time. 21 of them occurred between 1393 and 1719, whereby this is the case for just five years between 1720 and 2002. Since the hot summer 2003 8 out of 16 spring-summer periods were outstanding according the statistic of the last 664 years, no less than 5 among them within the last 8 years. In sum, the 664-year-long Beaune GHD series demonstrates that outstanding hot and dry years in the past were outliers, whereby they became the norm since the transition to rapid Global Warming in 1988.

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“…The GHD from Burgundy compiled by Angot (1883) have been completed, extended and stacked to produce a six-century long, almost continuous, GHD series (Chuine et al, 2004), and used to produce several climate reconstructions (Chuine et al, 2004;Etien et al, 2008;Guiot et al, 2005Guiot et al, , 2010Le Roy Ladurie, 1967, 2005Le Roy Ladurie et al, 2006;Luterbacher et al, 2004;Menzel, 2005;Pfister, 1992;Schleip et al, 2008;Souriau and Yiou, 2001;Xoplaki et al, 2005). Recently, Labbé et al (2011) revisited the archives of Dijon city and produced an up-dated corrected series for this Burgundy vineyard.…”

Section: Introductionmentioning

confidence: 99%

An open-database of Grape Harvest dates for climate research: data description and quality assessment

Daux¹,

Cortázar-Atauri²,

Yiou³

et al. 2011

Preprint

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We present a dataset of grape harvest dates (GHD) series that has been compiled from international and non-translated French and Spanish literature and from unpublished documentary sources from public organizations and from wine-growers. As of June 2011, this GHD dataset comprises 378 series mainly from France (93% of the data) as well as series from Switzerland, Italy, Spain and Luxembourg. The series have variable length and contain gaps of variable sizes. The longest and most complete ones are from Burgundy, Switzerland, Southern Rhône valley, Jura and Ile-de-France. The GHD series were grouped into 27 regions according to their location, to geomorphological and geological criteria, and to past and present grape varieties. The GHD regional composite series (GHD-RCS) were calculated and compared pairwise to assess the quality of the series. Significant (p-value < 0.001) and strong correlations exist between most of them. As expected, the correlations tended to be higher when the vineyards are closer, the highest correlation (R = 0.91) being obtained between the High Loire Valley and the Ile-de-France GHD-RCS. The strong dependence of vine cycle on temperature and, therefore, the strong link between GHD and the temperature of the growing season was also used to test the quality of the GHD series. The strongest correlations are obtained between the GHD-RCS and the temperature series of the nearest weather stations. Moreover, the GHD-RCS/temperature correlation maps show spatial patterns similar to temperature correlation maps. The stability of the correlations over time is explored. The most striking feature is their generalized deterioration at the late 19th–early 20th turning point. The possible effects on the GHD of the phylloxera crisis, which took place at this time, are discussed. The median of the standardized GHD-RCS was calculated. The distribution of the extreme years of this general synthetic series is not homogenous. Extremely late years all occur during a two-century long time-window from the early 17th to the early 19th century, while extremely early years are frequent during the 16th and since the mid-19th century. The dataset is made accessible for climate research through the Internet. It should allow a variety of climate studies, including reconstructions of atmospheric circulation over Western Europe

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Les dates de bans de vendange à Dijon : établissement critique et révision archivistique d'une série ancienne

Cited by 22 publications

References 0 publications

An open-access database of grape harvest dates for climate research: data description and quality assessment

An open-access database of grape harvest dates for climate research: data description and quality assessment

The longest homogeneous series of grape harvest dates, Beaune 1354–2018, and its significance for the understanding of past and present climate

An open-database of Grape Harvest dates for climate research: data description and quality assessment

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