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Published April 15, 2021 | Version v2.1
Software Open

PollyNET/Pollynet_Processing_Chain: Version 2.1

  • 1. Leibniz Institute for Tropospheric Research (TROPOS), Wuhan University
  • 2. Leibniz Institute for Tropospheric Research (TROPOS)

Contributors

Project member:

  • 1. Leibniz Institute for Tropospheric Research (TROPOS)

Description

This release contains version 2.1 of 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.

Notes

The program has been tested in MATLAB 2014a and 2018a. And it can run on both window 10, ubuntu 18.04 and centos 8, which has been fully tested.

Files

PollyNET/Pollynet_Processing_Chain-v2.1.zip

Files (66.4 MB)

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Additional details

References

  • Baars, H., Kanitz, T., Engelmann, R., Althausen, D., Heese, B., Komppula, M., Preissler, J., Tesche, M., Ansmann, A., Wandinger, U., Lim, J. H., Ahn, J. Y., Stachlewska, I. S., Amiridis, V., Marinou, E., Seifert, P., Hofer, J., Skupin, A., Schneider, F., Bohlmann, S., Foth, A., Bley, S., Pfuller, A., Giannakaki, E., Lihavainen, H., Viisanen, Y., Hooda, R. K., Pereira, S. N., Bortoli, D., Wagner, F., Mattis, I., Janicka, L., Markowicz, K. M., Achtert, P., Artaxo, P., Pauliquevis, T., Souza, R. A. F., Sharma, V. P., van Zyl, P. G., Beukes, J. P., Sun, J. Y., Rohwer, E. G., Deng, R. R., Mamouri, R. E., and Zamorano, F.: An overview of the first decade of Polly(NET): an emerging network of automated Raman-polarization lidars for continuous aerosol profiling, Atmospheric Chemistry and Physics, 16, 5111-5137, 10.5194/acp-16-5111-2016, 2016.
  • Baars, H., Seifert, P., Engelmann, R., and Wandinger, U.: Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements, Atmospheric Measurement Techniques, 10, 3175-3201, 10.5194/amt-10-3175-2017, 2017.
  • Dai, G., Althausen, D., Hofer, J., Engelmann, R., Seifert, P., Bühl, J., Mamouri, R.-E., Wu, S., and Ansmann, A.: Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data, Atmospheric Measurement Techniques, 11, 2735-2748, 2018.
  • Engelmann, R., Kanitz, T., Baars, H., Heese, B., Althausen, D., Skupin, A., Wandinger, U., Komppula, M., Stachlewska, I. S., Amiridis, V., Marinou, E., Mattis, I., Linné, H., and Ansmann, A.: The automated multiwavelength Raman polarization and water-vapor lidar PollyXT: the neXT generation, Atmos. Meas. Tech., 9, 1767–1784, https://doi.org/10.5194/amt-9-1767-2016, 2016.
  • Althausen, D., Engelmann, R., Baars, H., Heese, B., Ansmann, A., Müller, D., and Komppula, M.: Portable Raman lidar PollyXT for automated profiling of aerosol backscatter, extinction, and depolarization, J. Atmos. Ocean. Tech., 26, 2366–2378, doi:10.1175/2009JTECHA1304.1, 2009.