Evaluation avant construction de l’impact d’un ouvrage linéaire en remblai sur le risque de gel printanier : exemples sur la LGV est-européenne dans le vignoble de Champagne

Afin d’évaluer dans un vignoble l’incidence sur la fréquence du gel dommageable (t° < -2°C) que pourrait créer un futur remblai de la Ligne à Grande Vitesse Est européenne, une bâche ayant la longueur et la hauteur de cet ouvrage a été installée sur le site des Fonds de Sillery (sud-est de la ville de Reims). Pour les situations météorologiques de type radiatif, des mesures de la température et des écoulements d’air froid, ont été effectuées, durant le printemps 2001, sur 19 points implantés en amont du futur remblai, simulé par une bâche. La comparaison des résultats sans bâche (2 nuits de mesure), puis avec sa présence (3 nuits), montre que cet ouvrage permettra la formation d’un lac d’air froid en amont du remblai, mais que celui-ci ne devrait pas affecter le vignoble. Sur un autre site, à Vrigny (sud-ouest de Reims), d’autres mesures de températures réalisées avec et sans bâche ont permis de repérer les talwegs d’écoulement. En tenant compte des résultats enregistrés sur le premier site ainsi que de la hauteur de l’ouvrage, une simulation spatiale a été réalisée. Elle montre que quelques hectares de vigne seraient affectés par un refroidissement supplémentaire dû à la présence des murs antibruit de la future ligne. Sur les deux sites, ces résultats ont nécessité des aménagements spécifiques afin de laisser circuler l’air froid pour qu’il n’affecte pas le vignoble

Spatial variability of night temperatures at a fine scale over the Stellenbosch wine district, South Africa

AgriwetenskappeWingerd- En WynkundePlease help us populate SUNScholar with the post print version of this article. It can be e-mailed to: [email protected]

Climate and viticulture in the Waipara region: Current and future potential

This paper describes an international investigation into the climate variability within the Waipara region of Canterbury, New Zealand and its importance to viticulture. The complex terrain of the region results in intricate patterns of climate variability, which can create significant spatial variability in the optimal conditions needed for high quality wine production. Grape varieties are adapted to specific climate parameters (especially temperature), which determines the synchrony in the development of primary and secondary metabolites and hence wine quality. The viability of wine production therefore depends on ensuring that each variety is grown in the most climatically optimal locations. This research uses advanced techniques to map some key climate parameters at high spatial resolution with a combination of field measurement, remote sensing, and climate and phenological modelling techniques. This information can then be used to select optimal locations for specific grape varieties and for evaluating the future potential for grape production across the Waipara region under changing climate conditions. The new knowledge generated therefore provides the basis for rational decision-making in support of future development of viticulture in the region. The outputs also provide a framework within which to evaluate adaptation of viticulture to future climate change in other vineyard regions of New Zealand and elsewhere

Using atmospheric and statistical models to understand local climate and assess spatial temperature variability at a fine scale over the Stellenbosch wine district, South Africa.

Please help us populate SUNScholar with the post print version of this article. It can be e-mailed to: [email protected] En Wynkund

Vinos de Altura del Noroeste Argentino – Características físico- químicas y Sensoriales

International audienc

A fine scale approach to map bioclimatic indices using and comparing dynamical and geostatistical methods

Climate, especially temperature, plays a major role in grapevine development. Several bioclimaticindices have been created to relate temperature to grapevine phenology (e.g. Winkler Index, Huglin Index, Grapevine Flowering Véraison model [GFV]). However, temperature variability can be significant at vineyard scale, so knowledge of the various climatic mechanisms leading to this variability is essential in order to improve local management of vineyards in response to climate change. Indeed, current climate change models are not accurate enough to take into account temperature variability at the vineyard scale (Dunn et al, 2015). This study therefore proposes a method for compare regional modelling and fine-scale observations to map temperatures and bioclimatic indices at fine spatial resolution for some recent growing seasons. This study focuses on two vineyard areas, the Saint-Emilion and Pomerol region in France and the Marlborough vineyard region in New Zealand. A regression model using temperature from networks of measurements has been created in order to map temperature and bioclimatic indices at vineyard scale (100 metres for Marlborough and 25 metres for SaintEmilion and Pomerol). To complement the field measurements, the advanced physics-based three-dimensional numerical weather model Weather Research and Forecasting – WRF (http://wrf-model.org/index.php) has been used, providing hourly meteorological parameters over a complete growing season for each site at 1, 3 and 9 and 27 kilometre resolution. The output of the WRF model provides temperature, wind speed and direction, pressure, and solar radiation data at these different resolutions. The application of different scales of modelling allows improvement in understanding the climate component of the specific terroirs of the study areas

XXIVème COLLOQUE DE L’ASSOCIATION INTERNATIONALE DE CLIMATOLOGIE

• CLIMAT, TOURISME ET SANTE • CLIMAT ET TERROIRS • EVENEMENTS CLIMATIQUES EXTREMES • TOPOCLIMATOLOGIE • CLIMATOLOGIE DES MONTAGNES TROPICALES • CLIMAT ET GEOMATIQU

XXIVème COLLOQUE DE L’ASSOCIATION INTERNATIONALE DE CLIMATOLOGIE

• CLIMAT, TOURISME ET SANTE • CLIMAT ET TERROIRS • EVENEMENTS CLIMATIQUES EXTREMES • TOPOCLIMATOLOGIE • CLIMATOLOGIE DES MONTAGNES TROPICALES • CLIMAT ET GEOMATIQU