Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative
In order to derive long-term changes in sea-ice volume, a multi-decadal sea-ice thickness record is required. CryoSat-2 has showcased the potential of radar altimetry for sea-ice mass-balance estimation over the recent years. However, precursor altimetry missions such as Environmental Satellite (Env...
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Ludwig-Maximilians-Universität München
2018
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ftmuenchenepub:oai:epub.ub.uni-muenchen.de:67815 2023-05-15T13:55:00+02:00 Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative Paul, Stephan Hendricks, Stefan Ricker, Robert Kern, Stefan Rinne, Eero 2018-01-01 application/pdf https://epub.ub.uni-muenchen.de/67815/1/tc-12-2437-2018.pdf https://epub.ub.uni-muenchen.de/67815/ http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-67815-2 https://doi.org/10.5194/tc-12-2437-2018 eng eng Ludwig-Maximilians-Universität München Paul, Stephan; Hendricks, Stefan; Ricker, Robert; Kern, Stefan; Rinne, Eero (2018): Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative. In: Cryosphere, Vol. 12, Nr. 7: S. 2437-2460 [PDF, 25MB] https://epub.ub.uni-muenchen.de/67815/1/tc-12-2437-2018.pdf http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-67815-2 https://epub.ub.uni-muenchen.de/67815/ doi:10.5194/tc-12-2437-2018 Cryosphere Department für Geographie ddc:550 doc-type:article Zeitschriftenartikel NonPeerReviewed 2018 ftmuenchenepub https://doi.org/10.5194/tc-12-2437-2018 2022-04-25T12:49:48Z In order to derive long-term changes in sea-ice volume, a multi-decadal sea-ice thickness record is required. CryoSat-2 has showcased the potential of radar altimetry for sea-ice mass-balance estimation over the recent years. However, precursor altimetry missions such as Environmental Satellite (Envisat) have not been exploited to the same extent so far. Combining both missions to acquire a decadal sea-ice volume data set requires a method to overcome the discrepancies due to different footprint sizes from either pulselimited or beam-sharpened radar echoes. In this study, we implemented an inter-mission-consistent surface-type classification scheme for both hemispheres, based on the waveform pulse peakiness, leading-edge width, and surface backscatter. In order to achieve a consistent retracking procedure, we adapted the threshold first-maximum retracker algorithm, previously used only for CryoSat-2, to develop an adaptive retracker threshold that depends on waveform characteristics. With our method, we produce a global and consistent freeboard data set for CryoSat-2 and Envisat. This novel data set features a maximum monthly difference in the mission-overlap period of 2.2 cm (2.7 cm) for the Arctic (Antarctic) based on all gridded values with spatial resolution of 25km x 25km and 50km x 50km for the Arctic and Antarctic, respectively. Article in Journal/Newspaper Antarc* Antarctic Arctic Arctic Climate change Sea ice Open Access LMU (Ludwig-Maximilians-University Munich) Antarctic Arctic The Cryosphere 12 7 2437 2460 |
institution |
Open Polar |
collection |
Open Access LMU (Ludwig-Maximilians-University Munich) |
op_collection_id |
ftmuenchenepub |
language |
English |
topic |
Department für Geographie ddc:550 |
spellingShingle |
Department für Geographie ddc:550 Paul, Stephan Hendricks, Stefan Ricker, Robert Kern, Stefan Rinne, Eero Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative |
topic_facet |
Department für Geographie ddc:550 |
description |
In order to derive long-term changes in sea-ice volume, a multi-decadal sea-ice thickness record is required. CryoSat-2 has showcased the potential of radar altimetry for sea-ice mass-balance estimation over the recent years. However, precursor altimetry missions such as Environmental Satellite (Envisat) have not been exploited to the same extent so far. Combining both missions to acquire a decadal sea-ice volume data set requires a method to overcome the discrepancies due to different footprint sizes from either pulselimited or beam-sharpened radar echoes. In this study, we implemented an inter-mission-consistent surface-type classification scheme for both hemispheres, based on the waveform pulse peakiness, leading-edge width, and surface backscatter. In order to achieve a consistent retracking procedure, we adapted the threshold first-maximum retracker algorithm, previously used only for CryoSat-2, to develop an adaptive retracker threshold that depends on waveform characteristics. With our method, we produce a global and consistent freeboard data set for CryoSat-2 and Envisat. This novel data set features a maximum monthly difference in the mission-overlap period of 2.2 cm (2.7 cm) for the Arctic (Antarctic) based on all gridded values with spatial resolution of 25km x 25km and 50km x 50km for the Arctic and Antarctic, respectively. |
format |
Article in Journal/Newspaper |
author |
Paul, Stephan Hendricks, Stefan Ricker, Robert Kern, Stefan Rinne, Eero |
author_facet |
Paul, Stephan Hendricks, Stefan Ricker, Robert Kern, Stefan Rinne, Eero |
author_sort |
Paul, Stephan |
title |
Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative |
title_short |
Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative |
title_full |
Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative |
title_fullStr |
Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative |
title_full_unstemmed |
Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative |
title_sort |
empirical parametrization of envisat freeboard retrieval of arctic and antarctic sea ice based on cryosat-2: progress in the esa climate change initiative |
publisher |
Ludwig-Maximilians-Universität München |
publishDate |
2018 |
url |
https://epub.ub.uni-muenchen.de/67815/1/tc-12-2437-2018.pdf https://epub.ub.uni-muenchen.de/67815/ http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-67815-2 https://doi.org/10.5194/tc-12-2437-2018 |
geographic |
Antarctic Arctic |
geographic_facet |
Antarctic Arctic |
genre |
Antarc* Antarctic Arctic Arctic Climate change Sea ice |
genre_facet |
Antarc* Antarctic Arctic Arctic Climate change Sea ice |
op_source |
Cryosphere |
op_relation |
Paul, Stephan; Hendricks, Stefan; Ricker, Robert; Kern, Stefan; Rinne, Eero (2018): Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative. In: Cryosphere, Vol. 12, Nr. 7: S. 2437-2460 [PDF, 25MB] https://epub.ub.uni-muenchen.de/67815/1/tc-12-2437-2018.pdf http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-67815-2 https://epub.ub.uni-muenchen.de/67815/ doi:10.5194/tc-12-2437-2018 |
op_doi |
https://doi.org/10.5194/tc-12-2437-2018 |
container_title |
The Cryosphere |
container_volume |
12 |
container_issue |
7 |
container_start_page |
2437 |
op_container_end_page |
2460 |
_version_ |
1766261229041483776 |