|From||Sue Grimmond <email@example.com>|
|To||"firstname.lastname@example.org" <email@example.com>, "firstname.lastname@example.org." <email@example.com.>|
|Date||Tue, 2 Dec 2014 12:58:38 +0000|
Supervisors: Sue Grimmond (University of Reading), Humphrey Lean, Cristina Charlton-Perez, Sue Ballard (Met Office)
This project is potentially fully-funded via the NERC SCENARIO Doctoral Training Partnership, and includes a CASE studentship with the Met Office
Urban areas will soon be simulated in remarkable detail in both climate and weather models as these models rapidly move toward resolutions of 10's of kilometres and 100's of metres, respectively. This move begs for the use of data gathered from densely populated, high-resolution observation networks both for verification and data assimilation purposes. Novel data types such as those observed using ceilometers are being evaluated for use in numerical weather prediction. This project is motivated by the question what is the appropriate density of a network of ceilometers for measuring the important meteorological characteristics of urban areas? Modellers are often asked this challenging question. The answer will depend on factors including the large-scale geography of a region, the size of urban areas and their location within the landscape. Ceilometer data from the rural Met Office network and the London Urban Meteorological Observatory network will be analysed and compared to forecasts of cloud, aerosol, fog and boundary layer height from the 1.5 km Met Office’s high-resolution operational model and from an experimental configuration of the Met Office’s weather forecast model over London that is being run routinely with a view to improving fog and temperature forecasts.
How to apply:
Prof Sue Grimmond
Department of Meteorology, University of Reading,
Earley Gate, PO Box 243, Reading, RG6 6BB, UK
T:+44 118 378 6248
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