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A. Ipe
Researcher at Royal Meteorological Institute
Publications - 33
Citations - 575
A. Ipe is an academic researcher from Royal Meteorological Institute. The author has contributed to research in topics: Geostationary Earth Radiation Budget & Geostationary orbit. The author has an hindex of 11, co-authored 33 publications receiving 539 citations.
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The Geostationary Earth Radiation Budget Project
John E. Harries,J. E. Russell,J. A. Hanafin,Helen Brindley,J.M. Futyan,J. Rufus,S. Kellock,G. Matthews,R. Wrigley,J. Mueller,R. Mossavati,J. Ashmall,Eric Sawyer,Douglas J. Parker,Martin E. Caldwell,P. M. Allan,Andrew Smith,M. J. Bates,B. Coan,B. C. Stewart,D. R. Lepine,L. A. Cornwall,D. R. Corney,M. J. Ricketts,D. Drummond,D. Smart,R. Cutler,Steven Dewitte,Nicolas Clerbaux,L. Gonzalez,A. Ipe,Cédric Bertrand,Alexandre Joukoff,D. Crommelynck,N. Nelms,David Llewellyn-Jones,Gillian Butcher,G. L. Smith,Z. P. Szewczyk,P. E. Mlynczak,A. Slingo,Richard P. Allan,Mark A. Ringer +42 more
TL;DR: The Geostationary Earth Radiation Budget (GERB) experiment as discussed by the authors was designed to make the first measurements of the Earth's radiation budget from geostatary orbit using a spin-stabilized spacecraft platform.
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The Geostationary Earth Radiation Budget Edition 1 data processing algorithms
TL;DR: The Geostationary Earth Radiation Budget (GERB) data is now for the first time released as Edition 1 data for public scientific use as mentioned in this paper, which allows a full sampling of the diurnal cycle of radiation and clouds.
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Outgoing longwave flux estimation: improvement of angular modelling using spectral information
TL;DR: In this article, the authors proposed a method to improve the radiance-to-flux conversion for the longwave radiation when spectral information about the radiation is available through a set of narrow-band (NB) measurements.
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Validation and homogenization of cloud optical depth and cloud fraction retrievals for GERB/SEVIRI scene identification using Meteosat-7 data
TL;DR: In this paper, the authors used the CERESI data to retrieve cloud optical depth and cloud fraction on footprints made of several imager pixels, and then compared the retrieval of both features on the same targets using nearly time-simultaneous Meteosat-7 imager and single satellite footprint data.
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Pixel‐scale composite top‐of‐the‐atmosphere clear‐sky reflectances for Meteosat‐7 visible data
TL;DR: In this article, a new method to estimate composite top of the atmosphere (TOA) visible clear-sky reflectances for wide narrow band geostationary satellites such as the Meteosat constellation is presented.