But there is a shortcut you can take to identifying the sentiment extremes that accompany major market tops and bottoms in the form of the information contained on magazine covers at these junctures.

A new study has revealed the most intense heatwaves ever across the world -- and remarkably some of these went almost unnoticed decades ago.

We identify spatial extreme season objects as contiguous regions of extreme seasonal mean temperatures based on statistical modeling. Regional pooling of extreme season objects in CESM-LENS then ...

Two approaches are further proposed to statistically predict non-Gaussian temperature extremes: one uses a multiple linear regression model after transforming the non-Gaussian predictant to a ...