Data for "A comparison of the effects of initializing different thermosphere‐ionosphere model fields on storm time plasma density forecasts"

This dataset contains time-sequence data for modelling the thermosphere‐ionosphere system, used to test techniques for improving the accuracy of storm-time plasma density forecasts. The set includes data derived from observations during four periods in October and November 2003, two of which were normal runs and two were storm conditions, using the Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIEGCM). The remaining data sequences were derived by assimilating different sets of model fields from the storm-time data into the associated normal run data.

Keywords:

Ionosphere Thermosphere Data assimilation Forecasting Modelling Storms

Subjects:

Atmospheric physics and chemistry

Upper Atmosphere Processes & Geospace

Cite this dataset as:
Chartier, A., Jackson, D., Mitchell, C., 2022. Data for "A comparison of the effects of initializing different thermosphere‐ionosphere model fields on storm time plasma density forecasts". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00573.

Export

Datasets in this collection

Creators

Alex Chartier
Met Office; University of Bath

David R. Jackson
Met Office; University of Bath

Cathryn Mitchell
University of Bath

0000-0003-1964-8723

Contributors

University of Bath
Rights Holder

Coverage

Temporal coverage:

From 15 October 2003 to 21 November 2003

Documentation

Data collection method:

Full details of the methodology may be found in the 'Method' section of the associated paper.

Additional information:

The data files are in NetCDF format.

Methodology link:

Chartier, A. T., Jackson, D. R., and Mitchell, C. N., 2013. A comparison of the effects of initializing different thermosphere‐ionosphere model fields on storm time plasma density forecasts. Journal of Geophysical Research: Space Physics, 118(11), 7329-7337. Available from: https://doi.org/10.1002/2013ja019034.

Funders

Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266

Industrial Doctorate Centre: Systems
EP/G037353/1

Royal Society
https://doi.org/10.13039/501100000288

Wolfson Merit Award - Dynamic Tomography: Linking Cause and Effect

Publication details

Publication date: 2 November 2022
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00573

URL for this record: https://researchdata.bath.ac.uk/id/eprint/573

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Cathryn Mitchell

Departments:

Faculty of Engineering & Design
Electronic & Electrical Engineering