Evaluation of 3D dual-polarised radar-ased hydrometeor classification algorithms over the UK
Lead Research Organisation:
University of Leeds
Department Name: School of Earth and Environment
Abstract
Polarization is the phenomenon in which waves of electromagnetic radiation are restricted in direction of vibration. The reason polarization state is worth contemplating is that two beams of radiation, otherwise identical, may interact differently with matter if their polarization states are different.
Thus, observing the polarization of scattered light in the atmosphere provides a unique way to probe clouds, precipitation and aerosol. In this project, you will have the opportunity to explore the use of dual-polarisation radar to make novel observations of the atmosphere. To accomplish this you will utilize observations from the recently upgraded UK weather radar network to investigate the wealth of unexplored information provided by polarimetric variables observed with dual-polarization radar. You will use these new observational capabilities to improve our understanding of making precipitation observations and explore how these experimental techniques may be incorporated into improving operational observational systems and forecasts.
Thus, observing the polarization of scattered light in the atmosphere provides a unique way to probe clouds, precipitation and aerosol. In this project, you will have the opportunity to explore the use of dual-polarisation radar to make novel observations of the atmosphere. To accomplish this you will utilize observations from the recently upgraded UK weather radar network to investigate the wealth of unexplored information provided by polarimetric variables observed with dual-polarization radar. You will use these new observational capabilities to improve our understanding of making precipitation observations and explore how these experimental techniques may be incorporated into improving operational observational systems and forecasts.
Organisations
People |
ORCID iD |
Ryan Neely (Primary Supervisor) | |
Ben Pickering (Student) |
Publications
Lin D
(2020)
Relating the Radar Bright Band and Its Strength to Surface Rainfall Rate Using an Automated Approach
in Journal of Hydrometeorology
Neely III R
(2018)
The NCAS Mobile Dual-Polarisation Doppler X-Band Weather Radar (NXPol)
Pickering B
(2019)
The Disdrometer Verification Network (DiVeN): a UK network of laser precipitation instruments
in Atmospheric Measurement Techniques
Pickering B
(2021)
Evaluation of Multiple Precipitation Sensor Designs for Precipitation Rate and Depth, Drop Size and Velocity Distribution, and Precipitation Type
in Journal of Hydrometeorology
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
NE/N008359/1 | 30/09/2016 | 29/04/2021 | |||
1793414 | Studentship | NE/N008359/1 | 30/09/2016 | 31/10/2020 | Ben Pickering |
Description | Legacies Fund |
Amount | £1,200 (GBP) |
Organisation | Royal Meteorological Society |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 08/2018 |
End | 09/2018 |
Description | Met Office Academic Partnership (MOAP) Travel Fund |
Amount | £1,250 (GBP) |
Organisation | Meteorological Office UK |
Sector | Academic/University |
Country | United Kingdom |
Start | 03/2019 |
Description | Visiting Scientist Programme |
Amount | £1,200 (GBP) |
Organisation | National Centre for Atmospheric Science (NCAS) |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 08/2018 |
End | 12/2018 |