F
F. Hilton
Researcher at Met Office
Publications - 16
Citations - 804
F. Hilton is an academic researcher from Met Office. The author has contributed to research in topics: Numerical weather prediction & Infrared atmospheric sounding interferometer. The author has an hindex of 9, co-authored 16 publications receiving 701 citations.
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Journal ArticleDOI
Hyperspectral Earth Observation from IASI: Five Years of Accomplishments
F. Hilton,Raymond Armante,Thomas August,Christopher D. Barnet,A. Bouchard,Claude Camy-Peyret,Virginie Capelle,Lieven Clarisse,Cathy Clerbaux,Pierre-François Coheur,Andrew Collard,Cyril Crevoisier,Gaëlle Dufour,David P. Edwards,Francois Faijan,Nadia Fourrié,Antonia Gambacorta,Mitchell D. Goldberg,Vincent Guidard,Daniel Hurtmans,Sam Illingworth,Nicole Jacquinet-Husson,Tobias Kerzenmacher,Dieter Klaes,L. Lavanant,Guido Masiello,Marco Matricardi,A. P. McNally,Stuart M. Newman,Edward Pavelin,Sébastien Payan,Eric Péquignot,Sophie Peyridieu,Thierry Phulpin,John Remedios,Peter Schlüssel,Carmine Serio,L. Larrabee Strow,Claudia J. Stubenrauch,Jonathan P. Taylor,David C. Tobin,Walter Wolf,D. K. Zhou +42 more
TL;DR: The Infrared Atmospheric Sounding Interferometer (IASI) as discussed by the authors is the main sounding component of EUMETSAT's Metop-A satellite, which was launched in October 2006.
Journal ArticleDOI
Assimilation of IASI at the Met Office and assessment of its impact through observing system experiments
TL;DR: In this article, IASI data from EUMETSAT's MetOp satellite has been assimilated at the Met Office in global and regional numerical weather-prediction systems since 27 November 2007.
Journal ArticleDOI
Geochemical variability in a single flow from northern Iceland
TL;DR: In this paper, the authors analyzed 70 whole rock samples and 40 olivine-hosted melt inclusions from the Borgarhraun lava flow in NE Iceland and found that compatible element variations can be explained by addition/removal of crystals found in the flow.
Journal ArticleDOI
The Assimilation of SSMIS Radiances in Numerical Weather Prediction Models
William Bell,Brett Candy,Nigel Atkinson,F. Hilton,Nancy L. Baker,Niels Bormann,Graeme Kelly,Masahiro Kazumori,William F. Campbell,Steven D. Swadley +9 more
TL;DR: Assimilation experiments using SSMIS data at four operational NWP centers show a neutral-to-positive impact on forecast quality in the Southern Hemisphere with, for example, mean sea-level pressure forecast errors at days 1-4 reduced by 0.5%-2.5%.
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The use of principal component analysis for the assimilation of high‐resolution infrared sounder observations for numerical weather prediction
TL;DR: In this paper, the use of principal component analysis (PCA) was explored for the efficient representation of observations from high-resolution infrared sounders for the purposes of assimilation into numerical weather prediction models.