Picture library

CNR_lidar
CNR_Eyja_lidar_meas
CNR_Eyja_lidar_typing
CNR_lidar_avhrr
EARLINET_EYJA_lidar_transport_model

1

Picture of the CNR aerosol lidar system performing measurements. The atmospheric column is scanned through the laser beam transmitted into the atmosphere. Only the green beam is visible to human eyes but infrared (IR) and ultraviolet (UV) beams are sent into the atmosphere simultaneously. The backscattered radiation allows to know about the aerosol distribution in the vertical atmospheric column and about aerosol optical properties.

2

Example of CNR lidar measurements during the Eyja eruption in 2010. The raw lidar data allows to identify the presence of more intense aerosol layers (warm colored structures) and to understand about the temporal evolution of the aerosol layers. (Mona et al., ACP 2012)

3

From raw data, multiwavelength lidar data allows to infer the aerosol typing through devoted methodologies. During the Eyja eruption volcanic and desert dust particles at different altitude were identified at CNR-IMAA EARLINET station, then mixing in a unique layer. (Mona et al., ACP 2012)

4

The integration between 1 wavelength lidar data and satellite images allowed the identification of thin volcanic layers. This figure shows the case of Etna 2002 eruption and the volcanic layer observed at CNR-IMAA EARLINET site corroborated by AVHRR images. (Pappalardo et al., GRL 2004)

5

Lidar data collected at network level within EARLINET can be important for evaluation of the transport models and satellite observations. This figure reports a visual comparison between lidar observations and transport model for Eyja 2010. (Pappalardo et al., ACP 2013)