Multiyear Aerosol Study Based on Lidar&amp;Sunphotometer Measurements in Romania

Anca Nemuc,Simona Andrei,Horatiu Stefanie,Alexandru Dandocsi,Ioannis Binietoglou

doi:10.1051/epjconf/201611924001

Abstract

This observational study focused on three-years time-averaged data set (January 2012–2015). An investigation of long-term trends was performed on two different data sets derived from active and passive remote sensing measurements in Magurele, Romania.Measurements of sun photometer aerosol optical depth (AOD) at 500 nm and 340 nm show the mean values of 0.230 ±0 .118 and 0.398 ± 0.185, respectively. The lidar AOD at 532 and 355nm has a mean of 0.271 ±.0.164 and 0.472 ± 0.165 respectively. The highest seasonal mean value was measured by the lidar during the summer of 2014 while the lowest seasonal value was measured by the sunphotometer in February 2012.The origin of atmospheric aerosols has been analyzed using both backtajectories of Hysplit and Circulation Type Classification (CTCs) methods.

Highlights

Despite of the GCMs (General Circulation Model) improvements in the last years, aerosols are still not well captured, long term observations are essential to address the questions of global climate changes.EARLINET (European Aerosol Lidar Network) started in 2000 a coordinated research strategy to quantitatively address the complex aerosol– climate problem
Detailed analyses of high-quality observations of aerosol microphysical and optical properties from long-term AERONET (Aerosol Robotic Network) monitoring sites can yield a complete characterization of aerosol optical effects for a wide range of applications climatology of atmospheric aerosols [3]
In order to establish the origin of atmospheric aerosols two classical approaches (Lagrangian and Eulerian) are generally used

Summary

Introduction

Despite of the GCMs (General Circulation Model) improvements in the last years, aerosols are still not well captured, long term observations are essential to address the questions of global climate changes. EARLINET (European Aerosol Lidar Network) started in 2000 a coordinated research strategy to quantitatively address the complex aerosol– climate problem. Detailed analyses of high-quality observations of aerosol microphysical and optical properties from long-term AERONET (Aerosol Robotic Network) (http://aeronet.gsfc.nasa.gov/) monitoring sites can yield a complete characterization of aerosol optical effects for a wide range of applications climatology of atmospheric aerosols [3]. In order to establish the origin of atmospheric aerosols two classical approaches (Lagrangian and Eulerian) are generally used. The Eulerian approach can be used via Circulation Type Classification methods based on synoptic fields at one time instant [5]

Methods

Results

Conclusion