Effects of domain selection on singular-value-decomposition based statistical downscaling of monthly rainfall accumulation in Southern Taiwan

Tao Chang Yang, Chen Min Kuo, Cheng Chin Liu, Hung Wei Tseng, Pao Shan Yu

研究成果: Article同行評審

4 引文 斯高帕斯(Scopus)

摘要

A singular-value-decomposition (SVD) statistical downscaling technique was developed for monthly rainfall over southern Taiwan. The statistical model was applied to seven different general circulation models. Seven different geographical domains for the large-scale atmospheric predictors were tested and their effects on rainfall projections were evaluated. Because different climate models indicate different future rainfall projections, a multi-model ensemble approach was applied to provide best guess estimates. Using the multi-model ensemble, and a range of metrics, it was found that the different predictor geographical domains had little influence on the projected monthly rainfalls. Two emission climate change scenarios (A1B and B1) were used to project the future rainfalls for the period from 2010 to 2045 across southern Taiwan. Overall, future rainfall shows an increasing trend during the May-to-October wet season and a decreasing trend during the November-to-April dry season.

原文English
頁(從 - 到)369-381
頁數13
期刊Terrestrial, Atmospheric and Oceanic Sciences
24
發行號3
DOIs
出版狀態Published - 2013 六月

All Science Journal Classification (ASJC) codes

  • 海洋學
  • 大氣科學
  • 地球與行星科學(雜項)

指紋

深入研究「Effects of domain selection on singular-value-decomposition based statistical downscaling of monthly rainfall accumulation in Southern Taiwan」主題。共同形成了獨特的指紋。

引用此