Dense urban morphologies further amplify extreme climate events due to the urban heat
island phenomenon, rendering cities more vulnerable to extreme climate events. Here we …

Signatures of ocean eddies, fronts, and filaments are commonly observed within marginal
ice zones (MIZs) from satellite images of sea ice concentration, and in situ observations via …

Accidents often occur in the earth—typhoons, floods, earthquakes, traffic accidents and so
on. Whether these accidents can be timely and effectively responded to has been an …

Despite recent progress in seasonal forecast systems, the predictive skill for the Indian
Ocean Dipole (IOD) remains typically limited to a lead time of one season or less in both …

A theory is developed in a stochastic climate model for understanding the general features
of the seasonal predictability barrier (PB), which is characterized by a band of maximum …

A nonautonomous stochastic dynamical model approach is developed to describe the
seasonal to interannual variability of the El Niño southern oscillation (ENSO). We determine …

The detection of cause-effect relationships from the analysis of paleoclimatic records is a
crucial step to disentangle the main mechanisms at work in the climate system. Here, we …

We analyze and model the stochastic behavior of paleoclimate time series and assess the
implications for the coupling of climate variables during the Pleistocene glacial cycles. We …

Statistical model results suggest that the declining growth rate from autumn to spring is the
key to cause El Niño‐Southern Oscillation (ENSO) spring persistence barrier (SPB). Using a …

Understanding multidecadal variability is an essential goal of climate dynamics. For
example, the recent phenomenon referred to as the “global warming hiatus" may reflect a …