Atmospheric remote sensing laboratory

Lidar and skyAerosol pollution has fundamental impact on climate change. Our knowledge on aerosol particle properties, however, is still very limited. This limitation causes large uncertainty regarding the assessment of how man-made (anthropogenic) and natural particulate pollution influence climate on Earth.

Work in our laboratory deals with the study of geometrical, optical, microphysical, chemical and radiative properties of aerosol pollution. We follow several approaches in order to tackle this complex work.

Instruments

Instruments

Lasers are used as light source for carrying out experiments in which light-scattering processes are used to identify specific properties...

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Data analysis methods

Data analysis methods

Data inversion algorithms that are used for inferring microphysical properties of aerosol pollution...

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Projects

Projects

We work on a number of exiting projects including software development, Lidar observations and Data analysis with Neural networks...

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Training and teaching courses at the atmospheric remote sensing laboratory

Training and teaching

Short courses in the use of data inversion algorithms and analysis of lidar...

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Remote Sensing at Bayfordbury Observatory

Bayfordbury

Some of our research takes part at the Bayfordbury Observatory...

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Contact and feedback

Contact us

If you would like to find out more or are interested in collaborative projects, please get in touch. We'd love to hear from you...

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Our main activities cover

  • Characterization of aerosol pollution with remote sensing and remote measurement instruments
  • Long-term monitoring of aerosol pollution from long-range transport in the free troposphere
  • Lidar instrument development
  • Development of data analysis tools: inversion algorithms, neural networks, data mining algorithms
  • Development of optical models (particle scattering models) that are used in remote sensing applications for the description of scattering properties of mineral dust
  • Training and teaching of research staff under the umbrella of the Marie Curie ITaRS (Initial Training for atmospheric Remote Sensing) program (ITaRS) and in the context of individual courses carried out at CAIR. Topics are data inversion algorithms and aerosol characterization with multiwavelength Raman lidar.

Lidar - Colour and light in the atmosphere