Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry
Abstract Snow depth on sea ice is an Essential Climate Variable and a major source of uncertainty in satellite altimetry-derived sea ice thickness. During winter of the MOSAiC Expedition, the “KuKa” dual-frequency, fully polarized Ku- and Ka-band radar was deployed in “stare” nadir-looking mode to i...
Published in: | Geophysical Research Letters |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2023
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Online Access: | https://orbit.dtu.dk/en/publications/f60d4ac4-ec00-461f-bb67-9e912cc9b442 https://doi.org/10.1029/2023GL104461 https://backend.orbit.dtu.dk/ws/files/338542116/Geophysical_Research_Letters_-_2023_-_Willatt_-_Retrieval_of_Snow_Depth_on_Arctic_Sea_Ice_From_Surface_Based_Polarimetric_.pdf |
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ftdtupubl:oai:pure.atira.dk:publications/f60d4ac4-ec00-461f-bb67-9e912cc9b442 2024-06-23T07:48:43+00:00 Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry Willatt, Rosemary Stroeve, Julienne C. Nandan, Vishnu Newman, Thomas Mallett, Robbie Hendricks, Stefan Ricker, Robert Mead, James Itkin, Polona Tonboe, Rasmus Wagner, David N. Spreen, Gunnar Liston, Glen Schneebeli, Martin Krampe, Daniela Tsamados, Michel Demir, Oguz Wilkinson, Jeremy Jaggi, Matthias Zhou, Lu Huntemann, Marcus Raphael, Ian A. Jutila, Arttu Oggier, Marc 2023 application/pdf https://orbit.dtu.dk/en/publications/f60d4ac4-ec00-461f-bb67-9e912cc9b442 https://doi.org/10.1029/2023GL104461 https://backend.orbit.dtu.dk/ws/files/338542116/Geophysical_Research_Letters_-_2023_-_Willatt_-_Retrieval_of_Snow_Depth_on_Arctic_Sea_Ice_From_Surface_Based_Polarimetric_.pdf eng eng https://orbit.dtu.dk/en/publications/f60d4ac4-ec00-461f-bb67-9e912cc9b442 info:eu-repo/semantics/openAccess Willatt , R , Stroeve , J C , Nandan , V , Newman , T , Mallett , R , Hendricks , S , Ricker , R , Mead , J , Itkin , P , Tonboe , R , Wagner , D N , Spreen , G , Liston , G , Schneebeli , M , Krampe , D , Tsamados , M , Demir , O , Wilkinson , J , Jaggi , M , Zhou , L , Huntemann , M , Raphael , I A , Jutila , A & Oggier , M 2023 , ' Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry ' , Geophysical Research Letters , vol. 50 , no. 20 , e2023GL104461 . https://doi.org/10.1029/2023GL104461 Sea ice Snow Radar Altimetry Polarimetric Climate /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action article 2023 ftdtupubl https://doi.org/10.1029/2023GL104461 2024-06-11T15:20:47Z Abstract Snow depth on sea ice is an Essential Climate Variable and a major source of uncertainty in satellite altimetry-derived sea ice thickness. During winter of the MOSAiC Expedition, the “KuKa” dual-frequency, fully polarized Ku- and Ka-band radar was deployed in “stare” nadir-looking mode to investigate the possibility of combining these two frequencies to retrieve snow depth. Three approaches were investigated: dual-frequency, dual-polarization and waveform shape, and compared to independent snow depth measurements. Novel dual-polarization approaches yielded r2 values up to 0.77. Mean snow depths agreed within 1 cm, even for data sub-banded to CryoSat-2 SIRAL and SARAL AltiKa bandwidths. Snow depths from co-polarized dual-frequency approaches were at least a factor of four too small and had a r2 0.15 or lower. r2 for waveform shape techniques reached 0.72 but depths were underestimated. Snow depth retrievals using polarimetric information or waveform shape may therefore be possible from airborne/satellite radar altimeters. Article in Journal/Newspaper Arctic Arctic Sea ice Technical University of Denmark: DTU Orbit Arctic Geophysical Research Letters 50 20 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Sea ice Snow Radar Altimetry Polarimetric Climate /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
spellingShingle |
Sea ice Snow Radar Altimetry Polarimetric Climate /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action Willatt, Rosemary Stroeve, Julienne C. Nandan, Vishnu Newman, Thomas Mallett, Robbie Hendricks, Stefan Ricker, Robert Mead, James Itkin, Polona Tonboe, Rasmus Wagner, David N. Spreen, Gunnar Liston, Glen Schneebeli, Martin Krampe, Daniela Tsamados, Michel Demir, Oguz Wilkinson, Jeremy Jaggi, Matthias Zhou, Lu Huntemann, Marcus Raphael, Ian A. Jutila, Arttu Oggier, Marc Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry |
topic_facet |
Sea ice Snow Radar Altimetry Polarimetric Climate /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
description |
Abstract Snow depth on sea ice is an Essential Climate Variable and a major source of uncertainty in satellite altimetry-derived sea ice thickness. During winter of the MOSAiC Expedition, the “KuKa” dual-frequency, fully polarized Ku- and Ka-band radar was deployed in “stare” nadir-looking mode to investigate the possibility of combining these two frequencies to retrieve snow depth. Three approaches were investigated: dual-frequency, dual-polarization and waveform shape, and compared to independent snow depth measurements. Novel dual-polarization approaches yielded r2 values up to 0.77. Mean snow depths agreed within 1 cm, even for data sub-banded to CryoSat-2 SIRAL and SARAL AltiKa bandwidths. Snow depths from co-polarized dual-frequency approaches were at least a factor of four too small and had a r2 0.15 or lower. r2 for waveform shape techniques reached 0.72 but depths were underestimated. Snow depth retrievals using polarimetric information or waveform shape may therefore be possible from airborne/satellite radar altimeters. |
format |
Article in Journal/Newspaper |
author |
Willatt, Rosemary Stroeve, Julienne C. Nandan, Vishnu Newman, Thomas Mallett, Robbie Hendricks, Stefan Ricker, Robert Mead, James Itkin, Polona Tonboe, Rasmus Wagner, David N. Spreen, Gunnar Liston, Glen Schneebeli, Martin Krampe, Daniela Tsamados, Michel Demir, Oguz Wilkinson, Jeremy Jaggi, Matthias Zhou, Lu Huntemann, Marcus Raphael, Ian A. Jutila, Arttu Oggier, Marc |
author_facet |
Willatt, Rosemary Stroeve, Julienne C. Nandan, Vishnu Newman, Thomas Mallett, Robbie Hendricks, Stefan Ricker, Robert Mead, James Itkin, Polona Tonboe, Rasmus Wagner, David N. Spreen, Gunnar Liston, Glen Schneebeli, Martin Krampe, Daniela Tsamados, Michel Demir, Oguz Wilkinson, Jeremy Jaggi, Matthias Zhou, Lu Huntemann, Marcus Raphael, Ian A. Jutila, Arttu Oggier, Marc |
author_sort |
Willatt, Rosemary |
title |
Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry |
title_short |
Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry |
title_full |
Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry |
title_fullStr |
Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry |
title_full_unstemmed |
Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry |
title_sort |
retrieval of snow depth on arctic sea ice from surface-based, polarimetric, dual-frequency radar altimetry |
publishDate |
2023 |
url |
https://orbit.dtu.dk/en/publications/f60d4ac4-ec00-461f-bb67-9e912cc9b442 https://doi.org/10.1029/2023GL104461 https://backend.orbit.dtu.dk/ws/files/338542116/Geophysical_Research_Letters_-_2023_-_Willatt_-_Retrieval_of_Snow_Depth_on_Arctic_Sea_Ice_From_Surface_Based_Polarimetric_.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Sea ice |
genre_facet |
Arctic Arctic Sea ice |
op_source |
Willatt , R , Stroeve , J C , Nandan , V , Newman , T , Mallett , R , Hendricks , S , Ricker , R , Mead , J , Itkin , P , Tonboe , R , Wagner , D N , Spreen , G , Liston , G , Schneebeli , M , Krampe , D , Tsamados , M , Demir , O , Wilkinson , J , Jaggi , M , Zhou , L , Huntemann , M , Raphael , I A , Jutila , A & Oggier , M 2023 , ' Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry ' , Geophysical Research Letters , vol. 50 , no. 20 , e2023GL104461 . https://doi.org/10.1029/2023GL104461 |
op_relation |
https://orbit.dtu.dk/en/publications/f60d4ac4-ec00-461f-bb67-9e912cc9b442 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1029/2023GL104461 |
container_title |
Geophysical Research Letters |
container_volume |
50 |
container_issue |
20 |
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1802639047422640128 |