Imperial College London
Alternate

Emeritus Professor Howard Wheater

Faculty of Engineering, Department of Civil and Environmental Engineering

Emeritus Professor in Civil and Environmental Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6066h.wheater CV

 
 
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Assistant

 

Miss Judith Barritt +44 (0)20 7594 5967

 
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Location

 

229Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Chun:2017:10.1016/j.dendro.2017.01.003,
author = {Chun, KP and Mamet, SD and Metsaranta, J and Barr, A and Johnstone, J and Wheater, H},
doi = {10.1016/j.dendro.2017.01.003},
journal = {Dendrochronologia},
pages = {9--18},
title = {A novel stochastic method for reconstructing daily precipitation times-series using tree-ring data from the western Canadian Boreal Forest},
url = {http://dx.doi.org/10.1016/j.dendro.2017.01.003},
volume = {44},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - © 2017 Tree ring data provide proxy records of historical hydroclimatic conditions that are widely used for reconstructing precipitation time series. Most previous applications are limited to annual time scales, though information about daily precipitation would enable a range of additional analyses of environmental processes to be investigated and modelled. We used statistical downscaling to simulate stochastic daily precipitation ensembles using dendrochronological data from the western Canadian boreal forest. The simulated precipitation series were generally consistent with observed precipitation data, though reconstructions were poorly constrained during short periods of forest pest outbreaks. The proposed multiple temporal scale precipitation reconstruction can generate annual daily maxima and persistent monthly wet and dry episodes, so that the observed and simulated ensembles have similar precipitation characteristics (i.e. magnitude, peak, and duration)—an improvement on previous modelling studies. We discuss how ecological disturbances may limit reconstructions by inducing non-linear responses in tree growth, and conclude with suggestions of possible applications and further development of downscaling methods for dendrochronological data.
AU  - Chun,KP
AU  - Mamet,SD
AU  - Metsaranta,J
AU  - Barr,A
AU  - Johnstone,J
AU  - Wheater,H
DO  - 10.1016/j.dendro.2017.01.003
EP  - 18
PY  - 2017///
SN  - 1125-7865
SP  - 9
TI  - A novel stochastic method for reconstructing daily precipitation times-series using tree-ring data from the western Canadian Boreal Forest
T2  - Dendrochronologia
UR  - http://dx.doi.org/10.1016/j.dendro.2017.01.003
VL  - 44
ER  -
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