Climate of the Past Discussions
www.clim-past-discuss.net
1814-9340
1814-9359
3
5
2007
10.5194/cpd-3-1063-2007
http://www.clim-past-discuss.net/3/1063/2007/
http://www.clim-past-discuss.net/3/1063/2007/cpd-3-1063-2007.html
http://www.clim-past-discuss.net/3/1063/2007/cpd-3-1063-2007.pdf
1063
1117
2007-10-11
Maximum growing season temperature in Western Europe: multi proxy reconstructions in Fontainebleau from 1596 to 2000
N. Etien
nathalie.etien@cea.fr
V. Daux
V. Masson-Delmotte
M. Stievenard
V. Bernard
S. Durost
M. T. Guillemin
O. Mestre
M. Pierre
Laboratoire des Sciences du Climat et de l'Environnement (IPSL, UMR CEA-CNRS 1572), L'Orme des Merisiers, Bâtiment 701, CEA Saclay, 91 191 Gif-Sur-Yvette cedex, France
Dendrochronologie et Archéo-dendrologie (UMR 6566 "Civilisations Atlantiques et Archéosciences") Université de Rennes 1, Campus de Beaulieu, Bât 24/25, 35042 Rennes, France
Laboratoire de Chrono-Ecologie (UMR 6565), Université de Franche-Comté, UFR des Sciences, La Bouloie, 16 route de Gray, 25030 Besançon, France
Météo France, Direction de la climatologie, 42 avenue Gaspard-Coriolis, 31057 Toulouse Cedex, France
In this study, we have combined a Burgundy grape harvest date record with
new δ<sup>18</sup>O measurements conducted on timbers and living trees
cellulose from Fontainebleau castle and forest. Our reconstruction is
expected to provide a reference series for the variability of growing season
temperature (from April to September) in Western Europe from 1596 to 2000.
We have estimated an uncertainty of 0.55°C on individual growing season
maximum temperature reconstructions. We are able to assess this uncertainty,
which is not the case for many documentary sources (diaries etc.), and even
not the case for early instrumental temperature data.
<br><br>
We compare our data with a number of independent temperature estimates for
Europe and the Northern Hemisphere. The comparison between our
reconstruction and Manley mean growing season temperature data provides an
independent control of the quality of CET data. We show that our
reconstruction preserves more variance back in time, because it was not
distorted/averaged by statistical/homogenisation methods.
<br><br>
Further works will be conducted to compare the δ<sup>18</sup>O data from
wood cellulose provided by transects of different tree species in Europe
obtained within the EC ISONET project and the French ANR Program ESCARSEL,
to analyse the spatial and temporal coherency between δ<sup>18</sup>O
records. The decadal variability will be also compared with other
precipitation δ<sup>18</sup>O records such as those obtained from benthic
ostracods from deep peri-Alpine lakes or simulated by regional atmospheric
models equipped with the modelling of water stable isotopes.
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