Derivation and optimization of a new Antarctic sea-ice record
The recently developed Bristol passive-microwave-satellite algorithm for deriving sea-ice concentration has possible theoretical and practical advantages over the widely used NASA/Team and Comiso algorithms. It was applied for the first time here to derive a long-term sea-ice series. The Bristol alg...
Published in: | International Journal of Remote Sensing |
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Taylor & Francis
2001
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ftulincoln:oai:eprints.lincoln.ac.uk:26078 2023-05-15T13:44:15+02:00 Derivation and optimization of a new Antarctic sea-ice record Hanna, E. Bamber, J. 2001-01-01 application/pdf https://eprints.lincoln.ac.uk/id/eprint/26078/ https://eprints.lincoln.ac.uk/id/eprint/26078/1/__network.uni_staff_S2_jpartridge_Downloads_014311601750038884.pdf https://doi.org/10.1080/014311601750038884 en eng Taylor & Francis https://eprints.lincoln.ac.uk/id/eprint/26078/1/__network.uni_staff_S2_jpartridge_Downloads_014311601750038884.pdf Hanna, E. and Bamber, J. (2001) Derivation and optimization of a new Antarctic sea-ice record. International Journal of Remote Sensing, 22 (1). pp. 113-139. ISSN 0143-1161 doi:10.1080/014311601750038884 F890 Geographical and Environmental Sciences not elsewhere classified Article PeerReviewed 2001 ftulincoln https://doi.org/10.1080/014311601750038884 2022-03-02T20:07:24Z The recently developed Bristol passive-microwave-satellite algorithm for deriving sea-ice concentration has possible theoretical and practical advantages over the widely used NASA/Team and Comiso algorithms. It was applied for the first time here to derive a long-term sea-ice series. The Bristol algorithm was reparameterized by manually tuning its brightness temperature tie-points both seasonally and interannually to systematically account for changing environmental conditions, satellite radiometer drift and differences in calibration and observing time between the three Special Sensor Microwave/Imager (SSM/I) sensors. In addition, an automatic algorithm was developed to remove residual noise in SSM/I images. The reparameterized Bristol algorithm performed well against the others tested in an Advanced Very High Resolution Radiometer (AVHRR) thermal infrared case-study validation. The SSM/I sea-ice extent was compared with Geosat radar altimetry and showed good agreement in winter; reasons are proposed to explain the summer difference. The optimized Antarctic sea-ice record spans the whole of the available SSM/I period (July 1987 to December 1997) and reveals a 3±0.3 (3±1.5) increase in extent (area); it has been used to study Antarctic sea-ice/atmosphere/ocean interactions and climatic couplings. Article in Journal/Newspaper Antarc* Antarctic Sea ice University of Lincoln: Lincoln Repository Antarctic International Journal of Remote Sensing 22 1 113 139 |
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University of Lincoln: Lincoln Repository |
op_collection_id |
ftulincoln |
language |
English |
topic |
F890 Geographical and Environmental Sciences not elsewhere classified |
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F890 Geographical and Environmental Sciences not elsewhere classified Hanna, E. Bamber, J. Derivation and optimization of a new Antarctic sea-ice record |
topic_facet |
F890 Geographical and Environmental Sciences not elsewhere classified |
description |
The recently developed Bristol passive-microwave-satellite algorithm for deriving sea-ice concentration has possible theoretical and practical advantages over the widely used NASA/Team and Comiso algorithms. It was applied for the first time here to derive a long-term sea-ice series. The Bristol algorithm was reparameterized by manually tuning its brightness temperature tie-points both seasonally and interannually to systematically account for changing environmental conditions, satellite radiometer drift and differences in calibration and observing time between the three Special Sensor Microwave/Imager (SSM/I) sensors. In addition, an automatic algorithm was developed to remove residual noise in SSM/I images. The reparameterized Bristol algorithm performed well against the others tested in an Advanced Very High Resolution Radiometer (AVHRR) thermal infrared case-study validation. The SSM/I sea-ice extent was compared with Geosat radar altimetry and showed good agreement in winter; reasons are proposed to explain the summer difference. The optimized Antarctic sea-ice record spans the whole of the available SSM/I period (July 1987 to December 1997) and reveals a 3±0.3 (3±1.5) increase in extent (area); it has been used to study Antarctic sea-ice/atmosphere/ocean interactions and climatic couplings. |
format |
Article in Journal/Newspaper |
author |
Hanna, E. Bamber, J. |
author_facet |
Hanna, E. Bamber, J. |
author_sort |
Hanna, E. |
title |
Derivation and optimization of a new Antarctic sea-ice record |
title_short |
Derivation and optimization of a new Antarctic sea-ice record |
title_full |
Derivation and optimization of a new Antarctic sea-ice record |
title_fullStr |
Derivation and optimization of a new Antarctic sea-ice record |
title_full_unstemmed |
Derivation and optimization of a new Antarctic sea-ice record |
title_sort |
derivation and optimization of a new antarctic sea-ice record |
publisher |
Taylor & Francis |
publishDate |
2001 |
url |
https://eprints.lincoln.ac.uk/id/eprint/26078/ https://eprints.lincoln.ac.uk/id/eprint/26078/1/__network.uni_staff_S2_jpartridge_Downloads_014311601750038884.pdf https://doi.org/10.1080/014311601750038884 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_relation |
https://eprints.lincoln.ac.uk/id/eprint/26078/1/__network.uni_staff_S2_jpartridge_Downloads_014311601750038884.pdf Hanna, E. and Bamber, J. (2001) Derivation and optimization of a new Antarctic sea-ice record. International Journal of Remote Sensing, 22 (1). pp. 113-139. ISSN 0143-1161 doi:10.1080/014311601750038884 |
op_doi |
https://doi.org/10.1080/014311601750038884 |
container_title |
International Journal of Remote Sensing |
container_volume |
22 |
container_issue |
1 |
container_start_page |
113 |
op_container_end_page |
139 |
_version_ |
1766199499868340224 |