Computational Modelling Group

Spatial variability of the atmosphere in southern England

1st September 2011
Research Team
Robin Wilson
Joanna Nield, Jason Noble, Edward Milton

Precipitable Water Content (water vapour amount in the atmosphere) over southern England on the 16th June 2006, as seen by the MODIS sensor on the NASA Terra satellite

Knowledge of atmospheric parameters is important for many applications. I came to this project from the point of view of satellite imaging: it is very important to correct satellite images for the effects of the atmosphere. However, most satellite image corrections are based upon a single parameterisation of the atmospheric conditions across the whole image. However, when the image is large - for example, covering most of southern England, this is unlikely to be true.

This research investigates the variability in key atmospheric parameters across southern England from various data sources, and simulates the effect of this variability on the correction of satellite image data.

A paper based on this research has been submitted to the International Journal of Remote Sensing


Physical Systems and Engineering simulation: Data Acquisition, Earth Observation

Visualisation and data handling methods: Data Management

Visualisation and data handling software: ArcGIS, ENVI, HDF5, IDL

Software Engineering Tools: Git

Programming languages and libraries: Python, R

Computational platforms: Iridis, Linux, Mac OS X, Windows

Transdisciplinary tags: Complex Systems, HPC, Scientific Computing, Visualisation