Contact Qiuzi Han Wen:




B.S. in Probability and Statistics, Peking University, 2002

Ph.D. in Statistics, York University, 2010


Qiuzi Han Wen

Research Scientist - Climate Change Detection, Attribution and Projection, Nonstationary Time Series, Advanced Statistical Methonds in Climate Research

4905 Dufferin Street (Toronto, ON)

CURRENT S&T / RESEARCH - Contribute to the development and application of advanced statistical methods for analyzing climate data and to the understanding of the causes and projection of climate extremes at regional scales.  

  • Methodology development for climate change detection and attribution study
  • Methodology development for nonstationary climatic time series modeling
  • Detection and attribution of climate extremes at regional scale
  • Uncertaity analysis of climate change projection at regional scale



Wen, H. Q., X. Zhang, Y. Xu and B. Wang, 2013: Detecting human influence on temperature extremes in China. Geographical Research Letter, doi: 10.1002/grl.50285 (selected as an AGU Research Spotlight article).

Wen, H. Q., A. Wong and X. L. Wang, 2012: Overlapped grouping periodogram test for detecting multiple hidden periodicities in mixed spectra. Journal of Time Series Analysis, Vol. 33, Issue 2, 255-268, doi:10.1111/j.1467-9892.2011.00755.x.

Wen, H. Q., X. L. Wang, and A. Wong, 2011: A hybrid-domain approach for modeling climate data time series, Journal of Geophysical Research, 116, D18112, doi:10.1029/2011JD015850.

Zwiers F.W., Hegerl G.C., Zhang X. and Q.H., Wen, 2014: Quantifying the Human and Natural Contributions to Observed Climate Change In: Statistics in Action: A Canadian Perspective [book in conjunction with the Int. Year of Statistics), CRC press.

Zhou, Botao, Q. H. Wen, Y. Xu, L. Song, and X. Zhang, 2014: Projected temperature and precipitation extremes in China by the CMIP5 Multimodel Ensembles. Journal of Climate (under revision).

Expertise Categories associated with this S&T Expert:

     Climate Change and Processes
          Trends and variability
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