What is he best known for?
The fields of study Patric Seifert is best known for:
- Meteorology
- Depolarization ratio
- Raman spectroscopy
AERONET and Mineral dust are the focus of his Aerosol studies.
As part of his studies on Meteorology, Patric Seifert often connects relevant subjects like Plume.
His research on Plume frequently links to adjacent areas such as Meteorology.
His Troposphere research extends to Atmospheric sciences, which is thematically connected.
Patric Seifert incorporates Troposphere and Aerosol in his research.
He combines Remote sensing and Satellite in his studies.
His studies link Astronomy with Satellite.
He combines Astronomy and Remote sensing in his research.
His studies link Optics with Lidar.
His most cited work include:
- The 16 April 2010 major volcanic ash plume over central Europe: EARLINET lidar and AERONET photometer observations at Leipzig and Munich, Germany (203 citations)
- Large‐eddy simulations over Germany using ICON: a comprehensive evaluation (166 citations)
- An overview of the first decade of Polly<sup>NET</sup>: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling (160 citations)
What are the main themes of his work throughout his whole career to date
Patric Seifert conducts interdisciplinary study in the fields of Meteorology and Lidar through his works.
Remote sensing and Lidar are two areas of study in which he engages in interdisciplinary research.
He integrates Atmospheric sciences and Oceanography in his research.
He integrates many fields, such as Oceanography and Atmospheric sciences, in his works.
Patric Seifert connects Aerosol with Troposphere in his research.
With his scientific publications, his incorporates both Troposphere and Aerosol.
With his scientific publications, his incorporates both Climatology and Meteorology.
Patric Seifert integrates many fields, such as Operating system and Cloud computing, in his works.
He merges Cloud computing with Operating system in his study.
Patric Seifert most often published in these fields:
- Meteorology (58.73%)
- Remote sensing (43.65%)
- Atmospheric sciences (42.86%)
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.