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...

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Published in:International Journal of Remote Sensing
Main Authors: Hanna, E., Bamber, J.
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis 2001
Subjects:
Online Access: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
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spelling 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
institution Open Polar
collection University of Lincoln: Lincoln Repository
op_collection_id ftulincoln
language English
topic F890 Geographical and Environmental Sciences not elsewhere classified
spellingShingle 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
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