Sea-Ice Reflectivity Modelling and Estimation: Results on GNSS Reflectometry from Expeditions to the Arctic
GNSS signals are transmitted in L-band and provide a promising source for sea-ice remote sensing as they partly penetrate into ice upon reflection. The sea-ice surface and its composing layers below contribute to the reflected signal. Analysing these contributions allow to investigate sea-ice proper...
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ftdlr:oai:elib.dlr.de:193355 2024-05-19T07:33:11+00:00 Sea-Ice Reflectivity Modelling and Estimation: Results on GNSS Reflectometry from Expeditions to the Arctic Semmling, Maximilian Wickert, Jens Hoque, Mohammed Mainul Divine, Dmitry Gerland, Sebastian Spreen, Gunnar 2022 application/pdf https://elib.dlr.de/193355/ https://elib.dlr.de/193355/1/221027_esa-china_semmling_et_al.pdf en eng https://elib.dlr.de/193355/1/221027_esa-china_semmling_et_al.pdf Semmling, Maximilian und Wickert, Jens und Hoque, Mohammed Mainul und Divine, Dmitry und Gerland, Sebastian und Spreen, Gunnar (2022) Sea-Ice Reflectivity Modelling and Estimation: Results on GNSS Reflectometry from Expeditions to the Arctic. 11th ESA-NRSCC GNSS-R Workshop, 2022-10-26 - 2022-10-28, Virtual. Weltraumwetterbeobachtung Konferenzbeitrag NonPeerReviewed 2022 ftdlr 2024-04-25T01:05:25Z GNSS signals are transmitted in L-band and provide a promising source for sea-ice remote sensing as they partly penetrate into ice upon reflection. The sea-ice surface and its composing layers below contribute to the reflected signal. Analysing these contributions allow to investigate sea-ice properties (ice thickness and ice type). We present here calculations of sea-ice reflectivity for GNSS signals based on a multilayer reflection model including: underlying water, a sea-ice layer and an additional snow cover. The calculations assume coherent reflection conditions, elevation angles of the GNSS satellite between 3° and 30°, as well as, the different media with their relative permittivity (dry snow ~1, multiyear ice ~3, high-salinity ice ~5 and sea water ~70). The model-based results show that oscillation pattern occur in the reflectivity profiles when the permittivity and conductivity (the permittivity's imaginary part) are low in the considered layers (ice and snow). The model results are compared to reflectivity profiles estimated from reflectometry data recorded during Arctic expeditions of research vessels. The comparison shows that the calculated oscillation pattern can also be found in the estimated profiles. This result fits the rather old ice types (second- or multiyear ice) reported for the expeditions by ancillary data. These results are promising for further investigations of sea-ice reflectometry preparing the upcoming ESA satellite mission PRETTY with coverage in the Arctic. However, agreement of applied model and observations is still limited to coherent reflection conditions. A future extension of the model to diffuse scatter contribution might be beneficial as well. Conference Object Arctic Arctic Sea ice German Aerospace Center: elib - DLR electronic library |
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German Aerospace Center: elib - DLR electronic library |
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ftdlr |
language |
English |
topic |
Weltraumwetterbeobachtung |
spellingShingle |
Weltraumwetterbeobachtung Semmling, Maximilian Wickert, Jens Hoque, Mohammed Mainul Divine, Dmitry Gerland, Sebastian Spreen, Gunnar Sea-Ice Reflectivity Modelling and Estimation: Results on GNSS Reflectometry from Expeditions to the Arctic |
topic_facet |
Weltraumwetterbeobachtung |
description |
GNSS signals are transmitted in L-band and provide a promising source for sea-ice remote sensing as they partly penetrate into ice upon reflection. The sea-ice surface and its composing layers below contribute to the reflected signal. Analysing these contributions allow to investigate sea-ice properties (ice thickness and ice type). We present here calculations of sea-ice reflectivity for GNSS signals based on a multilayer reflection model including: underlying water, a sea-ice layer and an additional snow cover. The calculations assume coherent reflection conditions, elevation angles of the GNSS satellite between 3° and 30°, as well as, the different media with their relative permittivity (dry snow ~1, multiyear ice ~3, high-salinity ice ~5 and sea water ~70). The model-based results show that oscillation pattern occur in the reflectivity profiles when the permittivity and conductivity (the permittivity's imaginary part) are low in the considered layers (ice and snow). The model results are compared to reflectivity profiles estimated from reflectometry data recorded during Arctic expeditions of research vessels. The comparison shows that the calculated oscillation pattern can also be found in the estimated profiles. This result fits the rather old ice types (second- or multiyear ice) reported for the expeditions by ancillary data. These results are promising for further investigations of sea-ice reflectometry preparing the upcoming ESA satellite mission PRETTY with coverage in the Arctic. However, agreement of applied model and observations is still limited to coherent reflection conditions. A future extension of the model to diffuse scatter contribution might be beneficial as well. |
format |
Conference Object |
author |
Semmling, Maximilian Wickert, Jens Hoque, Mohammed Mainul Divine, Dmitry Gerland, Sebastian Spreen, Gunnar |
author_facet |
Semmling, Maximilian Wickert, Jens Hoque, Mohammed Mainul Divine, Dmitry Gerland, Sebastian Spreen, Gunnar |
author_sort |
Semmling, Maximilian |
title |
Sea-Ice Reflectivity Modelling and Estimation: Results on GNSS Reflectometry from Expeditions to the Arctic |
title_short |
Sea-Ice Reflectivity Modelling and Estimation: Results on GNSS Reflectometry from Expeditions to the Arctic |
title_full |
Sea-Ice Reflectivity Modelling and Estimation: Results on GNSS Reflectometry from Expeditions to the Arctic |
title_fullStr |
Sea-Ice Reflectivity Modelling and Estimation: Results on GNSS Reflectometry from Expeditions to the Arctic |
title_full_unstemmed |
Sea-Ice Reflectivity Modelling and Estimation: Results on GNSS Reflectometry from Expeditions to the Arctic |
title_sort |
sea-ice reflectivity modelling and estimation: results on gnss reflectometry from expeditions to the arctic |
publishDate |
2022 |
url |
https://elib.dlr.de/193355/ https://elib.dlr.de/193355/1/221027_esa-china_semmling_et_al.pdf |
genre |
Arctic Arctic Sea ice |
genre_facet |
Arctic Arctic Sea ice |
op_relation |
https://elib.dlr.de/193355/1/221027_esa-china_semmling_et_al.pdf Semmling, Maximilian und Wickert, Jens und Hoque, Mohammed Mainul und Divine, Dmitry und Gerland, Sebastian und Spreen, Gunnar (2022) Sea-Ice Reflectivity Modelling and Estimation: Results on GNSS Reflectometry from Expeditions to the Arctic. 11th ESA-NRSCC GNSS-R Workshop, 2022-10-26 - 2022-10-28, Virtual. |
_version_ |
1799471298606268416 |