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Theses

Modélisation climatique à l’échelle des terroirs viticoles dans un contexte de changement climatique

Abstract : At vineyard scale, climate variability can be significant in magnitude and play a key role in vine and wine characteristics. Adaptation of viticulture to climate change requires knowledge about future fine-scale climate evolution. This study aims to integrate local scale in future climate projections, coupling dynamic and statistical modelling. A first step consisted in producing temperature maps at 1 km resolution using WRF in a vineyard area (Marlborough, New-Zealand) and evaluating model uncertainties. It revealed that dynamical models do not represent well local climate variations. Using a high density temperature data logger network, the second part is dedicated to developing a non-linear statistical model to map temperature at very fine scale in famous sub-appellations of the Bordeaux vineyard area (Saint-Émilion). Following, a method, coupling dynamical and statistical modelling, is proposed to integrate local scale in climate change projections. This thesis highlights that using simultaneously statistical and dynamical models can be an approach to reduce model uncertainties.
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https://tel.archives-ouvertes.fr/tel-01710012
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Submitted on : Thursday, February 15, 2018 - 3:05:07 PM
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  • HAL Id : tel-01710012, version 1

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Renan Le Roux. Modélisation climatique à l’échelle des terroirs viticoles dans un contexte de changement climatique. Histoire. Université Rennes 2, 2017. Français. ⟨NNT : 2017REN20057⟩. ⟨tel-01710012⟩

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