Arctic haze: Editorial

On the Seasonality of Arctic Haze

Arctic haze has a distinct seasonality with peak concentrations in winter but pristine conditions in summer. It is demonstrated that the Geophysical Fluid Dynamics Laboratory (GFDL) atmospheric general circulation model AM3 can reproduce the observed seasonality of Arctic black carbon (BC), an important component of Arctic haze. We use the model to study how large-scale circulation and removal ...

Global pollution: is the arctic haze actually industrial smog?

Effects of Arctic Haze on Clouds and the Surface Radiation Balance

In the Arctic, concentrations of aerosols accumulate in winter and spring, reaching a maximum in April, dissipating by summer. It has long been recognized that high springtime aerosol concentrations, dubbed “Arctic Haze”, are due to anthropogenic activities. More recently it has been suggested that Arctic Haze might alter the surface radiation balance by increasing cloud albedo (Twomey, 1991) a...

Arctic sea ice, Eurasia snow, and extreme winter haze in China

The East China Plains (ECP) region experienced the worst haze pollution on record for January in 2013. We show that the unprecedented haze event is due to the extremely poor ventilation conditions, which had not been seen in the preceding three decades. Statistical analysis suggests that the extremely poor ventilation conditions are linked to Arctic sea ice loss in the preceding autumn and exte...

Mobile Haze Removal Application

In this paper, we implement a dehazing algorithm using dark pixel detection in MatLab and C++/OpenCV. The algorithm is originally proposed in Yu et al.’s paper. The simplicity and effectiveness of the algorithm make it possible for us to run the C++/OpenCV implementation on Android phones through android NDK with reasonable speed. Keywords—dehaze; image processing; mobile application; computer ...