This repository provides an automatic processing chain for PollyNET data.
This repository contains the matlab codes for processing and visualizing the data from PollyNET automatically. This network consists of novel multiwavelength raman polarization lidars around the world, like Haifa Isreal, Beijing China and Punta-Arenas Chile. The lidar system is maintained and updated in the past 30 years. It can monitor the tiny floated particles and water vapor in the atmosphere. For the most advanced version - PollyXT, it has 12 channels, including 8 far-range channels and 4 near-range channels. It can deliver the 3β+2α+2S information and also about the water vapor mixing ratio profile if calibrated carefully.
As the development of PollyNET, the data accumulated dramatically and the realtime dataflow can be as large as ~ GB. Therefore, the automatic processing program is essential for translating the information about aerosol distribution, transportation and aerosol-cloud interaction simultaneously from the lidar recorded lidar. The program in this repository can automatically calibrate the lidar depolarization, total and water vapor channels, retrieving 1-h averaged cloud-free profiles of aerosol intensive properties and categorizing the aerosol groups with aerosol target classification algorithm.
Detailed information about the program and the algorithms used inside can be found in here.
The program has been tested in MATLAB 2014a and 2018a. And it can run on both window 10 and centos 6, which has been fully tested.
You can download the whole repository by
git clone https://github.com/ZPYin/Pollynet_Processing_Chain.git
Attention
The program is highly sensitive to the folder structure of the Lidar and GDAS1 folder and also relies on the GDAS1 meteorological profile. So this program is specified for our internal usage. Feel free to contact us with the GDAS1 and Lidar data. You can find the contact information in PollyNET homepage and if you have accessed data from us, you are obligated to follow our Data policy.
For internal users, please click here for further information.
- matlab export_fig package by Yair Altman
- matlab Standard Atmosphere Calculator by Richard Rieber
- ideas from python lidar_molecular by Ioannis Binietoglou
- matlab JSONlab by Qianqian Fang
- ceilometer matlab programs from Birgit Heese
Special thanks to Patric Seifert for his valuable suggestions and advice.
