This review article enumerates, categorizes, and compares many of the methods that have
been proposed to detect undocumented changepoints in climate data series. The methods …

Historical reanalyses that span more than a century are needed for a wide range of studies,
from understanding large‐scale climate trends to diagnosing the impacts of individual …

This study assesses trends in seasonal extremes (90- and 99-percentiles) of Significant
Wave Height (SWH) in the North Atlantic and the North Pacific, as simulated in a 40-yr global …

Future changes in wind-wave climate have broad implications for the operation and design
of coastal, near- and off-shore industries and ecosystems, and may further exacerbate the …

IMILAST: A Community Effort to Intercompare Extratropical Cyclone Detection and Tracking
Algorithms in: Bulletin of the American Meteorological Society Volume 94 Issue 4 (2013) …

… (2007) showed the effects of autocorrelation in changepoint detection and modified the
TPR3 model of Wang (2003) to account for the inherent autocorrelation and periodicity in …

In this paper, a penalized maximal t test (PMT) is proposed for detecting undocumented
mean shifts in climate data series. PMT takes the relative position of each candidate …

In this study, a penalized maximal F test (PMFT) is proposed for detecting undocumented
mean shifts that are not accompanied by any sudden change in the linear trend of time series. …

This study presents a second generation of homogenized monthly mean surface air temperature
data set for Canadian climate trend analysis. Monthly means of daily maximum and of …

Wang, XL, 2008: Accounting for autocorrelation in detecting mean-shifts in climate data series
using the penalized maximal t or F test. J. Appl. Meteor. Climatol., 47, 2423-2444. Wang, …