This paper presents an algorithm for aerosol typing from multiwavelength lidar data, based on Artificial Neural Networks. The aerosol model used to simulate optical properties for the training of the network is described. The algorithm is tested on real observations from ESA-CALIPSO database
Aerosol typing is essential for understanding the impact of the different aerosol sources on climate...
The usual method of aerosol retrieval using remote sensing is interpolation of look-up-table (LUT), ...
A simple algorithm is derived to retrieve the aerosol backscattering and extinction vertical profile...
This paper presents an algorithm for aerosol typing from multiwavelength lidar data, based on Artifi...
Three different aerosol classification methods have been used to characterize lidar observations: Ma...
Within the framework of the present work, an aerosol typing methodology applicable to both ground-ba...
We present an automatic aerosol classification method based solely on the European Aerosol Research ...
A Python code was developed to automatically retrieve the aerosol type (and its predominant componen...
Atmospheric aerosols play a crucial role in the Earth's system, but their role is not completely un...
Abstract:-Aerosol size distribution (ASD) is an integral parameter in regional atmospheric models [1...
In this paper, the use of a neural network algorithm for the retrieval of the aerosol properties fro...
Lidar plays an essential role in monitoring the vertical variation of atmospheric aerosols. However,...
Aerosol typing is essential for understanding the impact of the different aerosol sources on climate...
The usual method of aerosol retrieval using remote sensing is interpolation of look-up-table (LUT), ...
A simple algorithm is derived to retrieve the aerosol backscattering and extinction vertical profile...
This paper presents an algorithm for aerosol typing from multiwavelength lidar data, based on Artifi...
Three different aerosol classification methods have been used to characterize lidar observations: Ma...
Within the framework of the present work, an aerosol typing methodology applicable to both ground-ba...
We present an automatic aerosol classification method based solely on the European Aerosol Research ...
A Python code was developed to automatically retrieve the aerosol type (and its predominant componen...
Atmospheric aerosols play a crucial role in the Earth's system, but their role is not completely un...
Abstract:-Aerosol size distribution (ASD) is an integral parameter in regional atmospheric models [1...
In this paper, the use of a neural network algorithm for the retrieval of the aerosol properties fro...
Lidar plays an essential role in monitoring the vertical variation of atmospheric aerosols. However,...
Aerosol typing is essential for understanding the impact of the different aerosol sources on climate...
The usual method of aerosol retrieval using remote sensing is interpolation of look-up-table (LUT), ...
A simple algorithm is derived to retrieve the aerosol backscattering and extinction vertical profile...
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