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Title

Burgundy regional climate change and its potential impact on grapevines

Publication Year

2012

Author(s)
  • Xu, Yiwen
  • Castel, Thierry
  • Richard, Yves
  • Cuccia, Cedric
  • Bois, Benjamin
Source
CLIMATE DYNAMICS Volume: 39 Issue: 7-8 Pages: 1613-1626 Published: 2012
ISSN
0930-7575
Abstract

ARPEGE general circulation model simulations were dynamically downscaled by The Weather Research and Forecasting Model (WRF) for the study of climate change and its impact on grapevine growth in Burgundy region in France by the mid twenty-first century. Two time periods were selected: 1970-1979 and 2031-2040. The WRF model driven by ERA-INTERIM reanalysis data was validated against in situ surface temperature observations. The daily maximum and minimum surface temperature (T-max and T-min) were simulated by the WRF model at 8 x 8 km horizontal resolution. The averaged daily T-max for each month during 1970-1979 have good agreement with observations, the averaged daily T-min have a warm bias about 1-2 K. The daily T-max and T-min for each month (domain averaged) during 2031-2040 show a general increase. The largest increment (similar to 3 K) was found in summer. The smallest increments (< 1 K) were found in spring and fall. The spatial distribution of temperature increment shows a strong meridional gradient, high in south in summer, reversing in winter. The resulting potential warming rate in summer is equivalent to 4.7 K/century under the IPCC A2 emission scenario. The dynamically downscaled T-max and T-min were used to simulate the grape (Pinot noir grape variety) flowering and v,raison dates. For 2031-2040, the projected dates are 8 and 12 days earlier than those during 1970-1979, respectively. The simulated hot days increase more than 50% in the two principal grapevine regions. They show strong impact on Pinot noir development.

Author Keyword(s)
  • Dynamic downscaling
  • WRF model
  • Surface temperature
  • High resolution
  • Climate projection
  • Impact study
KeyWord(s) Plus
  • US PACIFIC-NORTHWEST
  • PART I
  • MODEL
  • SIMULATIONS
  • EUROPE
  • PARAMETERIZATION
  • 21ST-CENTURY
  • TEMPERATURE
  • PERFORMANCE
  • PROJECTIONS
ESI Discipline(s)
  • Geosciences
Web of Science Category(ies)
  • Meteorology & Atmospheric Sciences
Adress(es)

[Xu, Yiwen; Castel, Thierry; Richard, Yves; Cuccia, Cedric; Bois, Benjamin] Univ Burgundy, Ctr Climate Res, CNRS, UMR 5210, F-21000 Dijon, France; [Castel, Thierry] AgroSup, Dept Agr & Environm, Dijon, France; [Bois, Benjamin] Univ Burgundy, IUVV, Dijon, France

Reprint Adress

Xu, YW (reprint author), Nansen Environm & Remote Sensing Ctr, GC Rieber Climate Inst, Bergen, Norway.

Country(ies)
  • France
  • Norway
CNRS - Adress(es)
  • Biogéosciences, UMR6282
Accession Number
WOS:000309346100004
uid:/0CQB0L08
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