Risk-Based Trend Detection for Climate Change Adaptation.

Rosner, Ana.
2017-04-18T14:03:19.140Z

Abstract: The usual procedure for detecting climate change impacts from historic records chooses statistical criteria (usually alpha=0.05) to minimize the probability of Type I error, claiming a trend exists where it does not. However, it ignores Type II error, failing to detect an increasing trend in storm surges. For coastal climate change adaptation, the physical implication of a Type I error i... read more

Subjects
Tufts University. Department of Civil and Environmental Engineering.
Permanent URL
http://hdl.handle.net/10427/011512
ID: tufts:20988
To Cite: DCA Citation Guide