Aarhus Universitets segl

PHD.-DEFENCE - Jeremy David Silver

COMBINING AIR POLLUTION MODELLING RESULTS WITH SATELLITE DATA

Oplysninger om arrangementet

Tidspunkt

Onsdag 2. april 2014,  kl. 13:00 - 15:00

Sted

Department of Environmental Science, Frederiksborgvej 399, 4000 Roskilde,- in the east wing, Conference room K1.36

PhD defence, Wednesday 2 April 2014 at 13.00.                     

Jeremy David Silver

During his studies, Jeremy David Silver assimilated satellite-derived estimates of atmospheric composition into a large-scale air pollution model. Retrievals of multiple trace gases from several satellite sensors were assimilated, using three different assimilation algorithms. This modelling framework was used to address the question: Under what conditions will assimilation of remotely-sensed data lead to more accurate estimates of the state of the atmosphere? The accuracy of modelled concentrations was assessed by comparison to surface air quality measurements, satellite data, and additional simulations.

The PhD degree was completed at the Department of Environmental Science, Science and Technology, Aarhus University.

Time: Wednesday 2 April 2014 at 13.00
Place: Department of Environmental Science, Frederiksborgvej 399, 4000 Roskilde,- in the east wing, Conference room  K1.36

Title of dissertation: Data Assimilation for Air Quality Models
Contact information: Jeremy David Silver, e-mail: jds@dmu.dk, tel.: +45 8715 8519
Members of the assessment committee:
Professor Dr. Peter J. H. Builtjes, Department of Earth Sciences, Freie Universität Berlin, Germany
Dr Henk J. Eskes, Chemistry and Climate Research, Royal Netherlands Meteorological Institute, The Netherlands
Professor Ole Hertel (chair), Department of Environmental Science, Aarhus University
Main supervisor:
Professor Jørgen Brandt, Department of Environmental Science, Aarhus University
Co-supervisor:
Professor Henrik Madsen, DTU Compute, Danish Technical University
Language: The PhD dissertation will be defended in English.

The defence is public.


The dissertation is available for reading at the Graduate School of Science and Technology/GSST, Ny Munkegade 120, building 1521, room 112, 8000 Aarhus C.