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The tenth IMSC, Beijing, China, 2007 - International Meetings on ...

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Linear and n<strong>on</strong>-linear rec<strong>on</strong>structi<strong>on</strong> from tree-ring series and written documents and the<br />

problem of low frequencies and missing data<br />

Speaker: Guiot, Joel<br />

Guiot, Joel<br />

CEREGE CNRS, Aix-en-Provence, France<br />

guiot@cerege.fr<br />

Nicault, Antoine<br />

CEN, University of Laval, Quebec, Canada<br />

Climatic rec<strong>on</strong>structi<strong>on</strong>s for the last millennium based <strong>on</strong> l<strong>on</strong>g tree-ring series and, when<br />

available, <strong>on</strong> historical written documents, have several crucial problems related, to the<br />

calibrati<strong>on</strong> (linear or n<strong>on</strong>-linear methods, stati<strong>on</strong>arity and range of the climatic variable), the<br />

validati<strong>on</strong> of the estimates (availability of independent data, method), the variability amplitude<br />

of the extrapolati<strong>on</strong> and the low frequency comp<strong>on</strong>ent of the rec<strong>on</strong>structed signal. Various<br />

methods have been proposed as well for the pre-processing of the low frequency comp<strong>on</strong>ent<br />

of the tree-ring series (standardizati<strong>on</strong>) than for the calibrati<strong>on</strong> method or the post-processing<br />

of the rec<strong>on</strong>structi<strong>on</strong>s. We illustrate our discussi<strong>on</strong> with examples taken from our own works<br />

(rec<strong>on</strong>structi<strong>on</strong> of temperature in Europe and summer PDSI in the Mediterranean regi<strong>on</strong>) that<br />

we compare with approaches found in the recent literature (Mann et al, 2005; Rutherford et al,<br />

2005; Burger et al, 2006 …). We will propose some soluti<strong>on</strong>s for the various problems pointed<br />

out. So n<strong>on</strong> linear calibrati<strong>on</strong> techniques such as analogues methods and artificial neural<br />

network are useful for rec<strong>on</strong>structing the full range of the climatic variables and to perform in<br />

presence of missing data (it is compared to the regularized expectati<strong>on</strong> maximizati<strong>on</strong> (RegEM)<br />

method). A combinati<strong>on</strong> of cross-validati<strong>on</strong> and bootstrap technique is useful for a robust<br />

validati<strong>on</strong>. <str<strong>on</strong>g>The</str<strong>on</strong>g> treatment of the tree-ring series trend by using a flexible regi<strong>on</strong>al growth curve<br />

is also a good soluti<strong>on</strong> for saving low frequencies in the rec<strong>on</strong>structed climatic series. Finally<br />

we propose that, in the future, the use of inverted process models is an integrated approach<br />

able to deal with most of the problems discussed in the talk.<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> 'Hockey Stick' and the 1990s: A Statistical Perspective <strong>on</strong> Rec<strong>on</strong>structing Hemispheric<br />

Temperatures<br />

Speaker: Bo Li<br />

Bo Li<br />

Nati<strong>on</strong>al Center for Atmospheric Research<br />

boli@ucar.edu<br />

Douglas W. Nychka<br />

Nati<strong>on</strong>al Center for Atmospheric Research<br />

Caspar M. Ammann<br />

59

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