Since Middle Ages, the rulers of many territories of Europe defined grape harvest dates for a lot of motivations, sometimes producing quite long archives of dates. These data are useful for paleoclimatic reconstruction because the date of harvest is influenced by a set of climatic variables like temperature, precipitation, solar radiation and so on. More specifically, the main determinant of grape harvest date is the maximum air temperature of Spring – Summer period. In this work, time series of grape harvest dates (1624-1930) for the Alpine area of Tirano - Valtellina (North Italy) were analyzed by means of a linear model approach to reconstruct maximum temperatures of Sondrio for the bimester May - June. Unavaible data were rebuilt by means of a correlation analysis between harvest dates of Burgundy and Tirano. The final product was represented by a time series of May - June temperatures for the whole period 1624-2003. Some climatological evaluations were carried out; in particular homogeneous periods were defined and characterized adopting a statistical approach founded on a change point analysis.

Tirano (1624-1930): a long time series of harvest dates for grapevine / L. Mariani, S. Parisi, O. Failla, G. Cola, G. Zoia, L. Bonardi. - In: RIVISTA ITALIANA DI AGROMETEOROLOGIA. - ISSN 1824-8705. - 14:1(2009 Feb), pp. 7-16.

Tirano (1624-1930): a long time series of harvest dates for grapevine

O. Failla;G. Cola;L. Bonardi
Ultimo
2009

Abstract

Since Middle Ages, the rulers of many territories of Europe defined grape harvest dates for a lot of motivations, sometimes producing quite long archives of dates. These data are useful for paleoclimatic reconstruction because the date of harvest is influenced by a set of climatic variables like temperature, precipitation, solar radiation and so on. More specifically, the main determinant of grape harvest date is the maximum air temperature of Spring – Summer period. In this work, time series of grape harvest dates (1624-1930) for the Alpine area of Tirano - Valtellina (North Italy) were analyzed by means of a linear model approach to reconstruct maximum temperatures of Sondrio for the bimester May - June. Unavaible data were rebuilt by means of a correlation analysis between harvest dates of Burgundy and Tirano. The final product was represented by a time series of May - June temperatures for the whole period 1624-2003. Some climatological evaluations were carried out; in particular homogeneous periods were defined and characterized adopting a statistical approach founded on a change point analysis.
Climatology; Phenology; Proxy data; Temperature reconstruction
Settore M-GGR/01 - Geografia
Settore AGR/03 - Arboricoltura Generale e Coltivazioni Arboree
feb-2009
http://www.agrometeorologia.it/documenti/Rivista2009_1/7.pdf
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/69471
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