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Robert J. Wells

Researcher at University of Oxford

Publications -  8
Citations -  364

Robert J. Wells is an academic researcher from University of Oxford. The author has contributed to research in topics: Stratosphere & Ozone layer. The author has an hindex of 6, co-authored 8 publications receiving 358 citations.

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Optimized forward model and retrieval scheme for MIPAS near-real-time data processing.

TL;DR: An optimized code to perform the near-real-time retrieval of profiles of pressure, temperature, and volume mixing ratio (VMR) of five key species from infrared limb spectra recorded by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) experiment on board the European Space Agency (ESA) Environmental Satellite ENVISAT-1 was developed.
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Simultaneous measurements of stratospheric NO and NO2 and their comparison with model predictions

TL;DR: In this article, the authors compared the results of the last four flights of the Oxford radiometer with predictions by a diurnal photochemical model and confirmed the rapid sunrise and sunset changes predicted by the model and detected on previous flights.
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The August 1972 solar proton event and the atmospheric ozone layer

TL;DR: The ozone measurements reported in this article during an intense solar proton event in August 1972 suggest that NO production rates due to ionising particles are higher than those calculated by Crutzen et al.
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Fast monochromatic radiative transfer calculations for limb sounding

TL;DR: In this article, the authors used singular value decomposition (SVD) to reduce the number of monochromatic radiative transfer calculations by determining suitable quadrature points in the spectral domain, which reduces both processing time and data storage requirements.
Proceedings ArticleDOI

Optimized forward and retrieval model for MIPAS near-real-time data processing

TL;DR: An optimized forward/retrieval code based on the global fit approach was implemented and the most effective code optimization were implemented in the radiative transfer model and in the computation of the jacobian of the retrieval.