The contributions of F. I. Hilton and N. C. Atkinson were written in the course of their employment at the Met Office, UK, and are published with the permission of the Controller of HMSO and the Queen's Printer for Scotland.
The use of principal component analysis for the assimilation of high-resolution infrared sounder observations for numerical weather prediction
Article first published online: 12 NOV 2010
Copyright © 2010 Royal Meteorological Society and Crown Copyright.
Quarterly Journal of the Royal Meteorological Society
Volume 136, Issue 653, pages 2038–2050, October 2010 Part B
How to Cite
Collard, A. D., McNally, A. P., Hilton, F. I., Healy, S. B. and Atkinson, N. C. (2010), The use of principal component analysis for the assimilation of high-resolution infrared sounder observations for numerical weather prediction. Q.J.R. Meteorol. Soc., 136: 2038–2050. doi: 10.1002/qj.701
- Issue published online: 8 DEC 2010
- Article first published online: 12 NOV 2010
- Manuscript Accepted: 26 AUG 2010
- Manuscript Revised: 19 AUG 2010
- Manuscript Received: 5 MAR 2010
- data assimilation;
- satellite data
Methodologies are discussed for the efficient representation of observations from high-resolution infrared sounders for the purposes of assimilation into numerical weather prediction models. The use of principal component analysis is explored and it is noted that, while the available information in the observations is stored efficiently, the non-locality of the Jacobians that arise may cause practical problems in an operational assimilation system. Reconstructing radiance spectra from the principal components appears to be a more realistic approach in the near term. However, initial experiments with reconstructed radiances do not appear to give significant improvements in forecast skill above that already demonstrated with the current use of advanced sounder data. Copyright © 2010 Royal Meteorological Society and Crown Copyright.