Clustering is an explorative data analysis technique used for investigating the underlying
structure in the data. It described as the grou** of objects, where the objects share similar …

Developments in synoptic climatology in the 1990s included advances in traditional synoptic
climatology, empirical downscaling, and dynamical downscaling (ie regional climate …

Exposure to ambient particulate matter (PM) air pollution is a leading risk factor for morbidity
and mortality, associated with up to 8.9 million deaths/year worldwide. Measurement of …

This study investigated the air pollution characteristics of synoptic-scale circulation in the
Bei**g megacity, and provided quantitative evaluation of the impacts of circulation patterns …

In his study, we use a combination of multivariate statistical methods to understand the
relationships of PM 2.5 with local meteorology and synoptic weather patterns in different …

Synoptic and Dynamic Climatology provides the first comprehensive account of the
dynamical behaviour and mechanisms of the global climate system and its components …

The existence of fine‐grain climate heterogeneity has prompted suggestions that species
may be able to survive future climate change in pockets of suitable microclimate, termed …

The air pollution index (API) sequences in 10 cities in northern China and the synoptic
pressure patterns during autumn and winter from 2002 to 2006 were analyzed with …

As the global population becomes increasingly urbanised, so interest has grown in the
potential climate change impacts on city infrastructure, services, and environmental quality …

Regional air pollution is significantly associated with dominant weather systems. In this
study, the relationship between the particle pollution over the Yangtze River Delta (YRD) …