Two-dimensional Simulation of Aerosol?Cloud Profile

Abstract

Developments of algorithm and computer graphics simulation are important to distinguish between aerosols and clouds in remote sensing data and images. The distribution of aerosols and clouds are need to be distinguishable in order to study their interactions with one another and identify both affecting factors towards Earth's climate stability. The objective of this paper is to expand the current work done in building new algorithm and simulation method to differentiate aerosols and clouds in spaceborne lidar data and images using image processing and computer graphics software, PCI Geomatica 10.1 and SCION Image. The new algorithm and simulation that has developed showed good results and clarify the vertical distribution of aerosols and clouds in the atmosphere. Plot profiles of clouds on both days showed higher pixel values than aerosols. Aerosols have been found consistently to have higher mean at altitude 0−5 km and 15−20 km on both days.

Aerosol Characterization over Penang, Malaysia Using Aerosol Robotic Network (AERONET)

“…Various vaporized particles diminishing cloud droplet measure by 20-30% and hence affecting in cloud reflectance of daylight by up to 25% [6][7][8][9][10]. Aerosols have impacts on energy budget regionally and globally, so it is exceptionally discriminating to have successive worldwide estimations to expound models that give practical representations of the atmospheric aerosols [11]. Space-borne measurement utilizing satellite is the most suitable apparatus for noteworthy and spatial scope [12] however aerosol retrievals from satellite endure some questionable matters, for example cloud pollution, aerosol models and surface properties [13][14][15][16].…”