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

  1. Daux, V. 69
  2. Garcia De Cortazar-Atauri, I. 14
  3. Yiou, P. 6
  4. Chuine, I. 1
  5. Garnier, E. 3
  6. Le Roy Ladurie, E. 2
  7. Mestre, O. 7
  8. Tardaguila, J. 8
  1. 1 Centre d'Ecologie Fonctionnelle et Evolutive

    Centre d'Ecologie Fonctionnelle et Evolutive

    Montpellier, Francia

    GRID grid.433534.6

  2. 2 Collège de France

    Collège de France

    París, Francia

    GRID grid.410533.0

  3. 3 Université de Caen Basse-Normandie

    Université de Caen Basse-Normandie

    Caen, Francia

    GRID grid.412043.0

  4. 4 French National Institute for Agricultural Research

    French National Institute for Agricultural Research

    París, Francia

    GRID grid.414548.8

  5. 5 Institut Universitaire de France

    Institut Universitaire de France

    París, Francia

    GRID grid.440891.0

  6. 6 Laboratoire des Sciences du Climat et de l'Environnement

    Laboratoire des Sciences du Climat et de l'Environnement

    Gif-sur-Yvette, Francia

    GRID grid.457340.1

  7. 7 Météo-France, Toulouse, France
  8. 8 Universidad de La Rioja

    Universidad de La Rioja

    Logroño, España

    GRID grid.119021.a

  9. 9 Versailles Saint-Quentin-en-Yvelines University

    Versailles Saint-Quentin-en-Yvelines University

    Versalles, Francia

    GRID grid.12832.3a

Climate of the Past

ISSN: 1814-9324

Year of publication: 2012

Volume: 8

Issue: 5

Pages: 1403-1418

Type: Article

Export: RIS
DOI: 10.5194/cp-8-1403-2012 SCOPUS: 2-s2.0-84872351834 WoS: 000310470600002 GOOGLE SCHOLAR lock_openOpen access editor
Institutional repository: lock_openOpen access editor


Cited by

  • Scopus Cited by: 41 (12-06-2021)

Journal Citation Reports

  • Year 2012
  • Journal Impact Factor: 3.556
  • Best Quartile: Q1
  • Area: METEOROLOGY & ATMOSPHERIC SCIENCES Quartile: Q1 Rank in area: 10/74 (Ranking edition: SCIE)
  • Area: GEOSCIENCES, MULTIDISCIPLINARY Quartile: Q1 Rank in area: 16/172 (Ranking edition: SCIE)

SCImago Journal Rank

  • Year 2012
  • SJR Journal Impact: 2.639
  • Best Quartile: Q1
  • Area: Global and Planetary Change Quartile: Q1 Rank in area: 8/66
  • Area: Paleontology Quartile: Q1 Rank in area: 1/102
  • Area: Stratigraphy Quartile: Q1 Rank in area: 2/41


  • Year 2012
  • CiteScore of the Journal : 5.1
  • Area: Paleontology Percentile: 94
  • Area: Stratigraphy Percentile: 87
  • Area: Global and Planetary Change Percentile: 80

Related Projects


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 (-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 Combining double low line 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. © 2012 Author(s).