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91̽»¨
Juno Jupiter image

Professor Roy Grainger

Reader in Atmospheric Physics

Research theme

  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Earth Observation Data Group
Don.Grainger@physics.ox.ac.uk
Telephone: 01865 (2)72888
Robert Hooke Building, room S47
  • About
  • Publications

Cloud parameter retrievals from ATSR-2

European Space Agency Special Publication ESA SP (2005) 245-252

Authors:

C Poulsen, R Siddans, S Dean, R Grainger, G Thomas, P Watts

Abstract:

Information on cloud properties from ATSR-2 radiances originates from the interaction of solar and terrestrial radiation with the cloud. Due to the spectral dependence of cloud optical properties, observations in different channels of ATSR-2 can be combined to provide information on a cloud phase, top height, effective radius cloud fraction and optical depth. These parameters are retrieved using an optimal estimation approach which enables us to extract information from all channels simultaneously. The method allows us to characterize the error on each parameter assuming the observed cloud is consistent with the modelled cloud (i.e. reasonably plane-parallel in nature). It is also possible to identify when model assumptions are inappropriate by examining the fit between simulated and observed radiances. This technique has been used in the NERC GRAPE (Global Retrieval of Clouds and Evaluation) project. In this paper the optimal estimation algorithm will be outlined and products and validation from the 5 year data set will be presented.

Infrared radiative transfer modelling in a 3D scattering cloudy atmosphere: application to limb sounding measurements of cirrus

Journal of Quantitative Spectroscopy and Radiative Transfer 96 (2005) 45-74

Authors:

RG Grainger, Ewen, G.B.L.,, A. Lambert, A.J. Baran

Progress in the retrieval of sulphur species from MIPAS

European Space Agency Special Publication ESA SP (2005) 1065-1072

Authors:

AB Burgess, RG Grainger, A Dudhia

Abstract:

Operationally only pressure, temperature and six significant trace gases are retrieved by ESA from MIPAS data. However, information on many other species is also present in the spectra. We apply a variety of techniques and our own retrieval model to retrieve the concentration of three other species: SO 2,OCS and SF6. Sulphur Dioxide (SO2) is an acidic gas with both natural and anthropogenic sources that is rapidly converted to sulphuric acid and hence sulphate aerosols in the atmosphere. Carbonyl Sulphide (OCS) is produced naturally at the ocean surface and by biomass burning and, through stratospheric oxidation, it is thought to be the main contributor to non-volcanic stratospheric sulphate aerosols. Sulphur Hexafluoride (SF 6) is almost entirely anthropogenic in its origins and shows steady year-on-year increases making it useful for age of air and tracer studies. We anticipate the good global coverage and continuity of data will make MIPAS useful for the determination of changes and trends in the quantity and distribution of these species both natural and anthropogenic. In this paper we summarise the current progress that has been made in the retrieval of these important sulphur-containing species. We show some preliminary zonal mean fields and briefly outline the methods applied.

Retrieval of Hydrogen Peroxide (H2O2) Profiles using ENVISAT-MIPAS

Geophysical Research Letters 32 (2005) L14809 4 pages

Authors:

RG Grainger, E. Papandrea, A. Dudhia, X. Vancassel

Orographic cloud in a GCM: the missing cirrus

CLIM DYNAM 24 (2005) 771–780-771–780

Authors:

SM Dean, BN Lawrence, RG Grainger, DN Heuff

Abstract:

Observations from the International Satellite Cloud Climatalogy Project (ISCCP) are used to demonstrate that the 19-level HadAM3 version of the United Kingdom Met Office Unified Model does not simulate sufficient high cloud over land. By using low-altitude winds, from the European Centre for Medium Range Weather Forecasting (ECMWF) Re-Analysis from 1979 to 1994 (ERA-15) to predict the areas of maximum likelihood of orographic wave generation, it is shown that much of the deficiency is likely to be due to the lack of a representation of the orographic cirrus generated by sub-grid scale orography. It is probable that this is a problem in most GCMs.

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