Mineral dust plays a pivotal role in the Earth's system. Dust modulates the global energy
budget directly via its interactions with radiation and indirectly via its influence on cloud and …

The characteristics of desert dust storms (DDS) have been shown to change in response to
climate change and land use. There is limited information on the frequency and intensity of …

We present a new model based on a convolutional neural network (CNN) to predict daytime
cloud cover (CC) from sky images captured by all‐sky cameras, which is called CNN‐CC. A …

This paper explores the potential of all-sky cameras to retrieve aerosol properties with the
GRASP code (Generalized Retrieval of Atmosphere and Surface Properties). To this end …

The present study focuses on the two consecutive and markedly intense Saharan dust
intrusion episodes that greatly affected southern Spain (Málaga) and, to a lesser extent, the …

The present work proposes a new model based on a convolutional neural network (CNN) to
retrieve solar shortwave (SW) irradiance via the estimation of the cloud modification factor …

The use of sky cameras for nocturnal aerosol characterization is discussed in this study. Two
sky cameras are configured to take High Dynamic Range (HDR) images at Granada and …

An outstanding Saharan dust event affected the Iberian Peninsula during winter 2016 (20 to
25 February). The impact of this event on ambient PM10 surface levels and its spatial and …

The main aim of this chapter is to review the trends in PM concentrations and chemical
composition in carbonaceous and inorganic aerosols and trace elements at contrasting …

In this study, AERONET (Aerosol Robotic Network) and EARLINET (European Aerosol
Research Lidar Network) data from 17 collocated lidar and sun photometer stations were …