Assimilation of vertical motion from simulated cloudy satellite imagery in an idealized single column model
- Submitting institution
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The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9001220_1
- Type
- D - Journal article
- DOI
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10.1002/qj.2427
- Title of journal
- Quarterly Journal of the Royal Meteorological Society
- Article number
- -
- First page
- 1198
- Volume
- 141
- Issue
- 689
- ISSN
- 0035-9009
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research was developed as part of an Engineering Doctorate sponsored by the UK Met office, directed by Dr John Eyre, Head of Satellite Applications. Within this group, the long-term aim is to improve weather forecast accuracy through better assimilation of infra-red satellite data with cloud-affected imagery. The methods demonstrate the potential of using a strongly non-linear observation operator with real-time data to model cloud formation. This paper provides definitive progress with this enduring problem through the development of a ground-breaking technique to assimilate vertical motion - one of the key drivers in modelling (and ultimately predicting) severe weather events.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -