High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data

We present new high-resolution snow depth data on Arctic sea ice derived from airborne microwave radar measurements from the IceBird campaigns of the Alfred Wegener Institute (AWI) together with a new retrieval method using signal peakiness based on an intercomparison exercise of colocated data at d...

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Published in:IEEE Transactions on Geoscience and Remote Sensing
Main Authors: Jutila, Arttu, King, Joshua, Paden, John, Ricker, Robert, Hendricks, Stefan, Polashenski, Chris, Helm, Veit, Binder, Tobias, Haas, Christian
Format: Article in Journal/Newspaper
Language:unknown
Published: IEEE 2021
Subjects:
Online Access:https://epic.awi.de/id/eprint/53912/
https://epic.awi.de/id/eprint/53912/1/09386214.pdf
https://doi.org/10.1109/TGRS.2021.3063756
https://hdl.handle.net/10013/epic.8b2fce9a-a8a8-4ea1-a158-3178e3174597
id ftawi:oai:epic.awi.de:53912
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spelling ftawi:oai:epic.awi.de:53912 2024-09-15T17:51:45+00:00 High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data Jutila, Arttu King, Joshua Paden, John Ricker, Robert Hendricks, Stefan Polashenski, Chris Helm, Veit Binder, Tobias Haas, Christian 2021 application/pdf https://epic.awi.de/id/eprint/53912/ https://epic.awi.de/id/eprint/53912/1/09386214.pdf https://doi.org/10.1109/TGRS.2021.3063756 https://hdl.handle.net/10013/epic.8b2fce9a-a8a8-4ea1-a158-3178e3174597 unknown IEEE https://epic.awi.de/id/eprint/53912/1/09386214.pdf Jutila, A. orcid:0000-0001-6115-1687 , King, J. , Paden, J. , Ricker, R. orcid:0000-0001-6928-7757 , Hendricks, S. orcid:0000-0002-1412-3146 , Polashenski, C. , Helm, V. orcid:0000-0001-7788-9328 , Binder, T. and Haas, C. orcid:0000-0002-7674-3500 (2021) High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data , IEEE Transactions on Geoscience and Remote Sensing, (60), pp. 1-16 . doi:10.1109/TGRS.2021.3063756 <https://doi.org/10.1109/TGRS.2021.3063756> , hdl:10013/epic.8b2fce9a-a8a8-4ea1-a158-3178e3174597 EPIC3IEEE Transactions on Geoscience and Remote Sensing, IEEE, (60), pp. 1-16, ISSN: 0196-2892 Article isiRev 2021 ftawi https://doi.org/10.1109/TGRS.2021.3063756 2024-06-24T04:26:11Z We present new high-resolution snow depth data on Arctic sea ice derived from airborne microwave radar measurements from the IceBird campaigns of the Alfred Wegener Institute (AWI) together with a new retrieval method using signal peakiness based on an intercomparison exercise of colocated data at different altitudes. We aim to demonstrate the capabilities and potential improvements of radar data, which were acquired at a lower altitude (200 ft) and slower speed (110 kn) and had a smaller radar footprint size (2-m diameter) than previous airborne snow radar data. So far, AWI Snow Radar data have been derived using a 2-18-GHz ultrawideband frequency-modulated continuous-wave (FMCW) radar in 2017-2019. Our results show that our method in combination with thorough calibration through coherent noise removal and system response deconvolution significantly improves the quality of the radar-derived snow depth data. The validation against a 2-D grid of in situ snow depth measurements on level landfast first-year ice indicates a mean bias of only 0.86 cm between radar and ground truth. Comparison between the radar-derived snow depth estimates from different altitudes shows good consistency. We conclude that the AWI Snow Radar aboard the IceBird campaigns is able to measure the snow depth on Arctic sea ice accurately at higher spatial resolution than but consistent with the existing airborne snow radar data of NASA Operation IceBridge. Together with the simultaneous measurements of the total ice thickness and surface freeboard, the IceBird campaign data will be able to describe the whole sea-ice column on regional scales. Article in Journal/Newspaper Arctic Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) IEEE Transactions on Geoscience and Remote Sensing 1 16
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description We present new high-resolution snow depth data on Arctic sea ice derived from airborne microwave radar measurements from the IceBird campaigns of the Alfred Wegener Institute (AWI) together with a new retrieval method using signal peakiness based on an intercomparison exercise of colocated data at different altitudes. We aim to demonstrate the capabilities and potential improvements of radar data, which were acquired at a lower altitude (200 ft) and slower speed (110 kn) and had a smaller radar footprint size (2-m diameter) than previous airborne snow radar data. So far, AWI Snow Radar data have been derived using a 2-18-GHz ultrawideband frequency-modulated continuous-wave (FMCW) radar in 2017-2019. Our results show that our method in combination with thorough calibration through coherent noise removal and system response deconvolution significantly improves the quality of the radar-derived snow depth data. The validation against a 2-D grid of in situ snow depth measurements on level landfast first-year ice indicates a mean bias of only 0.86 cm between radar and ground truth. Comparison between the radar-derived snow depth estimates from different altitudes shows good consistency. We conclude that the AWI Snow Radar aboard the IceBird campaigns is able to measure the snow depth on Arctic sea ice accurately at higher spatial resolution than but consistent with the existing airborne snow radar data of NASA Operation IceBridge. Together with the simultaneous measurements of the total ice thickness and surface freeboard, the IceBird campaign data will be able to describe the whole sea-ice column on regional scales.
format Article in Journal/Newspaper
author Jutila, Arttu
King, Joshua
Paden, John
Ricker, Robert
Hendricks, Stefan
Polashenski, Chris
Helm, Veit
Binder, Tobias
Haas, Christian
spellingShingle Jutila, Arttu
King, Joshua
Paden, John
Ricker, Robert
Hendricks, Stefan
Polashenski, Chris
Helm, Veit
Binder, Tobias
Haas, Christian
High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data
author_facet Jutila, Arttu
King, Joshua
Paden, John
Ricker, Robert
Hendricks, Stefan
Polashenski, Chris
Helm, Veit
Binder, Tobias
Haas, Christian
author_sort Jutila, Arttu
title High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data
title_short High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data
title_full High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data
title_fullStr High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data
title_full_unstemmed High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data
title_sort high-resolution snow depth on arctic sea ice from low-altitude airborne microwave radar data
publisher IEEE
publishDate 2021
url https://epic.awi.de/id/eprint/53912/
https://epic.awi.de/id/eprint/53912/1/09386214.pdf
https://doi.org/10.1109/TGRS.2021.3063756
https://hdl.handle.net/10013/epic.8b2fce9a-a8a8-4ea1-a158-3178e3174597
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source EPIC3IEEE Transactions on Geoscience and Remote Sensing, IEEE, (60), pp. 1-16, ISSN: 0196-2892
op_relation https://epic.awi.de/id/eprint/53912/1/09386214.pdf
Jutila, A. orcid:0000-0001-6115-1687 , King, J. , Paden, J. , Ricker, R. orcid:0000-0001-6928-7757 , Hendricks, S. orcid:0000-0002-1412-3146 , Polashenski, C. , Helm, V. orcid:0000-0001-7788-9328 , Binder, T. and Haas, C. orcid:0000-0002-7674-3500 (2021) High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data , IEEE Transactions on Geoscience and Remote Sensing, (60), pp. 1-16 . doi:10.1109/TGRS.2021.3063756 <https://doi.org/10.1109/TGRS.2021.3063756> , hdl:10013/epic.8b2fce9a-a8a8-4ea1-a158-3178e3174597
op_doi https://doi.org/10.1109/TGRS.2021.3063756
container_title IEEE Transactions on Geoscience and Remote Sensing
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