| File Name/ File Size |
Content Type |
Version |
Access |
License |
|
|---|
| Zhang_2015_Environ._Res._Lett._10_084020.pdf（1362KB） | 期刊论文 | 作者接受稿 | 开放获取 | | View
Download
|
|
|
作者单位: | Department of Geography, Climatology, Climate Dynamics and Climate Change, Justus-Liebig University Giessen, D-35390, Giessen, Germany;Department of Geography, Climatology, Climate Dynamics and Climate Change, Justus-Liebig University Giessen, D-35390, Giessen, Germany;Department of Geography, Johannes Gutenberg University, Mainz, Germany;Department of Earth Science and Bjerknes Center for Climate Research, University of Bergen, Norway;Department of Geography, Climatology, Climate Dynamics and Climate Change, Justus-Liebig University Giessen, D-35390, Giessen, Germany;Swiss Federal Research Institute WSL, Birmensdorf, Switzerland;Oeschger Centre for Climate Change Research, Bern, Switzerland;Global Change Research Centre AS CR, Brno, Czech Republic;Swiss Federal Research Institute WSL, Birmensdorf, Switzerland;Department of Geography, Climatology, Climate Dynamics and Climate Change, Justus-Liebig University Giessen, D-35390, Giessen, Germany
|
| Recommended Citation: | |
Huan Zhang,Naiming Yuan,Jan Esper,et al. Modified climate with long term memory in tree ring proxies[J]. Environmental Research Letters,2015-01-01,10(8)
|
|
|
) contain more memory than records based on maximum latewood density (mean 
). Both exceed the memory inherent to regional instrumental data (
for temperature, 
for precipitation) in the time scales ranging from 1 year up to 50 years. We compare memory-free (
) pseudo-instrumental precipitation data with pseudo-reconstructed precipitation data with LTM (
), and demonstrate the biasing influences of LTM on climate reconstructions. We call for attention to statistical analysis with regard to the variability of proxy-based chronologies or reconstructions, particularly with respect to the contained (i) trends, (ii) past warm/cold period and wet/dry periods; and (iii) extreme events.