The atmospheric correction for satellite infrared radiometer data in polar regions

Mie scattering models suggest that the thermal infrared emissivity of snow is relatively insensitive to variations in its properties and is dependent, primarily, on viewing angle. This gives rise to the possibility of accurately measuring snow surface temperatures, over the polar ice sheets, using s...

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Published in:Geophysical Research Letters
Main Authors: Bamber, J. L., Harris, A. R.
Format: Article in Journal/Newspaper
Language:unknown
Published: American Geophysical Union 1994
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/515910/
https://doi.org/10.1029/94GL01877
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spelling ftnerc:oai:nora.nerc.ac.uk:515910 2023-05-15T13:49:33+02:00 The atmospheric correction for satellite infrared radiometer data in polar regions Bamber, J. L. Harris, A. R. 1994 http://nora.nerc.ac.uk/id/eprint/515910/ https://doi.org/10.1029/94GL01877 unknown American Geophysical Union Bamber, J. L.; Harris, A. R. 1994 The atmospheric correction for satellite infrared radiometer data in polar regions. Geophysical Research Letters, 21 (19). 2111-2114. https://doi.org/10.1029/94GL01877 <https://doi.org/10.1029/94GL01877> Publication - Article PeerReviewed 1994 ftnerc https://doi.org/10.1029/94GL01877 2023-02-04T19:44:20Z Mie scattering models suggest that the thermal infrared emissivity of snow is relatively insensitive to variations in its properties and is dependent, primarily, on viewing angle. This gives rise to the possibility of accurately measuring snow surface temperatures, over the polar ice sheets, using satellite infrared radiometers operating in the window region at 10–13 microns. These instruments were designed, primarily, to measure sea surface temperature and a substantial body of work has been undertaken on correcting for the effects of variable absorption by the atmosphere over oceans. The atmospheric conditions over the Antarctic and Greenland ice sheets are significantly different, however, and require special treatment. A three year dataset of radiosonde measurements, collected from six Antarctic stations, is used to investigate the behaviour of the “split-window” algorithm. The same dataset has been used to test the performance of a dual-view algorithm that can be used with the Along Track Scanning Radiometer onboard ERS-1. It is shown that, given accurate emissivity estimates, the atmospheric correction has an rms error of 0.015 K using the dual-view method. Combined with the excellent calibration and stability of the Along Track Scanning Radiometer and pixel averaging to reduce the detector noise it is possible to derive snow surface “skin” temperatures to an accuracy of about 0.1 K. Article in Journal/Newspaper Antarc* Antarctic Greenland Natural Environment Research Council: NERC Open Research Archive Antarctic The Antarctic Greenland Geophysical Research Letters 21 19 2111 2114
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language unknown
description Mie scattering models suggest that the thermal infrared emissivity of snow is relatively insensitive to variations in its properties and is dependent, primarily, on viewing angle. This gives rise to the possibility of accurately measuring snow surface temperatures, over the polar ice sheets, using satellite infrared radiometers operating in the window region at 10–13 microns. These instruments were designed, primarily, to measure sea surface temperature and a substantial body of work has been undertaken on correcting for the effects of variable absorption by the atmosphere over oceans. The atmospheric conditions over the Antarctic and Greenland ice sheets are significantly different, however, and require special treatment. A three year dataset of radiosonde measurements, collected from six Antarctic stations, is used to investigate the behaviour of the “split-window” algorithm. The same dataset has been used to test the performance of a dual-view algorithm that can be used with the Along Track Scanning Radiometer onboard ERS-1. It is shown that, given accurate emissivity estimates, the atmospheric correction has an rms error of 0.015 K using the dual-view method. Combined with the excellent calibration and stability of the Along Track Scanning Radiometer and pixel averaging to reduce the detector noise it is possible to derive snow surface “skin” temperatures to an accuracy of about 0.1 K.
format Article in Journal/Newspaper
author Bamber, J. L.
Harris, A. R.
spellingShingle Bamber, J. L.
Harris, A. R.
The atmospheric correction for satellite infrared radiometer data in polar regions
author_facet Bamber, J. L.
Harris, A. R.
author_sort Bamber, J. L.
title The atmospheric correction for satellite infrared radiometer data in polar regions
title_short The atmospheric correction for satellite infrared radiometer data in polar regions
title_full The atmospheric correction for satellite infrared radiometer data in polar regions
title_fullStr The atmospheric correction for satellite infrared radiometer data in polar regions
title_full_unstemmed The atmospheric correction for satellite infrared radiometer data in polar regions
title_sort atmospheric correction for satellite infrared radiometer data in polar regions
publisher American Geophysical Union
publishDate 1994
url http://nora.nerc.ac.uk/id/eprint/515910/
https://doi.org/10.1029/94GL01877
geographic Antarctic
The Antarctic
Greenland
geographic_facet Antarctic
The Antarctic
Greenland
genre Antarc*
Antarctic
Greenland
genre_facet Antarc*
Antarctic
Greenland
op_relation Bamber, J. L.; Harris, A. R. 1994 The atmospheric correction for satellite infrared radiometer data in polar regions. Geophysical Research Letters, 21 (19). 2111-2114. https://doi.org/10.1029/94GL01877 <https://doi.org/10.1029/94GL01877>
op_doi https://doi.org/10.1029/94GL01877
container_title Geophysical Research Letters
container_volume 21
container_issue 19
container_start_page 2111
op_container_end_page 2114
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