|From||Pauline Martinet <email@example.com>|
|Date||Tue, 27 Feb 2018 15:13:09 +0100 (CET)|
Research field keywords : fog, cloud radar, microwave radiometer, data assimilation, field experiment
Description of the position :
Many deficiencies still remain on fog forecasts despite their strong impact on human transports and particularly airport traffic. However, 95 GHz cloud radars combined with ground-based microwave radiometers offer unprecedented capabilities to characterise the fog diurnal evolution and better understand the different atmospheric processes playing a role in the fog formation and dissipation. An international fog experiment specifically dedicated to fog processes and forecast will be carried out in the South-West of France during the winter 2019 during which ground-based microwave radiometers and cloud radars will be deployed providing information on the thermodynamics (temperature, humidity) and microphysics (cloud liquid water content and droplet concentration).
The candidate will propose a methodology to use cloud radar and microwave radiometer observations to better initialise the French convective scale model AROME in order to improve fog forecasts as well as better understand the different processes driving the fog life cycle. An important part of this work will be dedicated to the preparation of the field experiment, participation during the experiment and analysis of the data. An algorithm will be developed to retrieve temperature, humidity and microphysical properties (liquid water content and droplet concentration) taking advantage of the instrumental synergy between the cloud radar and the ground-based microwave radiometer. The retrieved profiles will be compared to the large database of in-situ measurements deployed during the field experiment (instrumented towers, tethered balloons, UAVs, particle counters etc..) and used to characterise the physical processes governing the fog life cycle. Finally, the cloud radar and microwave radiometer observations will be assimilated into the AROME model in order to quantify the forecast error reduction brought by these new observations.
Candidate requirements : The candidate should be interested by meteorology and atmospheric observations. Candidates should meet the academic requirements to enter the Ph.D program. They should hold a Master 2 degree in atmospheric sciences or engineer degree in Physics.Clear motivation to study atmospheric remote sensing and data processing is essential. Good computing skills are needed (python, fortran, matlab, linux). Knowledge of radars, microwave radiometers and/or data assimilation would be an advantage.
Contact : Applications should include a CV and an application letter. Recommendation letters are welcome. Applications should be sent to Pauline Martinet (firstname.lastname@example.org), Olivier Caumont (email@example.com) and Benoit Vié (firstname.lastname@example.org)
Deadline for applications : 25/05/2018
Start of contract : Fall 2018
Description: Adobe PDF document
Go to: Periods · List Information · Index by: Date (or Reverse Date), Thread, Subject or Author.