This paper is aimed at atmospheric scientists without formal training in statistical theory. Its
goal is to (1) provide a critical review of the rationale for trend analysis of the time series …

Study of the frequency and magnitude of climate extremes as the world warms is of utmost
importance, especially separating the influence of natural and anthropogenic forcing factors …

Since their introduction in the mid-1990s, the return per unit of risk or multiple on catastrophe
(cat) bonds has steadily declined. This paper investigates whether this pattern is consistent …

Due to various feedback processes called Arctic amplification, the high-latitudes' response
to increases in radiative forcing is much larger than elsewhere in the world, with a warming …

This paper explores a range of simple models to study the relationship between global
temperature anomalies and climate forcings. In particular, we consider quantile regression …

The attribution of climate change allows for the evaluation of the contribution of human
drivers to observed warming. At the global and hemispheric scales, many physical and …

We model the role of the ocean in climate change, using the concept of multicointegration.
Surface temperature and radiative forcing cointegrate and the accumulated cointegration …

We consider issues related to the effect of climate change on the persistence of (trend‐
corrected) temperatures using global gridded data for both land and oceans. We first discuss …

Since the 1970s, scientists have developed statistical methods intended to formalize
detection of changes in global climate and to attribute such changes to relevant causal …

What transpires from recent research is that temperatures and radiative forcing seem to be
characterized by a linear trend with two changes in the rate of growth. The first occurs in the …