Drivers of ASCAT C band backscatter variability in the dry snow zone of Antarctica
C band backscatter parameters contain information about the upper snowpack/firn in the dry snow zone. The wide incidence angle diversity of the Advanced Scatterometer (ASCAT) gives unprecedented characterisation of backscatter anisotropy, revealing the backscatter response to climatic forcing. The A...
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Veröffentlicht in: | Journal of glaciology 2016-02, Vol.62 (231), p.170-184 |
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creator | FRASER, ALEXANDER D. NIGRO, MELISSA A. LIGTENBERG, STEFAN R. M. LEGRESY, BENOIT INOUE, MANA CASSANO, JOHN J. KUIPERS MUNNEKE, PETER LENAERTS, JAN T. M. YOUNG, NEAL W. TREVERROW, ADAM VAN DEN BROEKE, MICHIEL ENOMOTO, HIROYUKI |
description | C band backscatter parameters contain information about the upper snowpack/firn in the dry snow zone. The wide incidence angle diversity of the Advanced Scatterometer (ASCAT) gives unprecedented characterisation of backscatter anisotropy, revealing the backscatter response to climatic forcing. The A (isotropic component) and M
2 (bi-sinusoidal azimuth anisotropy) parameters are investigated here, in conjunction with data from atmospheric and snowpack models, to identify the backscatter response to surface forcing parameters (wind speed and persistence, precipitation, surface temperature, density and grain size). The long-term mean A parameter is successfully recreated with a regression using these drivers, indicating strong links between the A parameter and precipitation on long timescales. While the ASCAT time series is too short to determine which factors drive observed trends, factors influencing the seasonal and short timescale variability are revealed. On these timescales, A strongly responds to the propagation of surface temperature cycles/anomalies downward through the firn, via direct modulation of the dielectric constant. The influence of precipitation on A is small at shorter timescales. The M
2 parameter is controlled by wind speed and persistence, through modification of monodirectionally-aligned surface roughness. This variability indicates that throughout much of coastal Antarctica, a microwave ‘snapshot’ is generally not representative of longer-term conditions. |
doi_str_mv | 10.1017/jog.2016.29 |
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2 (bi-sinusoidal azimuth anisotropy) parameters are investigated here, in conjunction with data from atmospheric and snowpack models, to identify the backscatter response to surface forcing parameters (wind speed and persistence, precipitation, surface temperature, density and grain size). The long-term mean A parameter is successfully recreated with a regression using these drivers, indicating strong links between the A parameter and precipitation on long timescales. While the ASCAT time series is too short to determine which factors drive observed trends, factors influencing the seasonal and short timescale variability are revealed. On these timescales, A strongly responds to the propagation of surface temperature cycles/anomalies downward through the firn, via direct modulation of the dielectric constant. The influence of precipitation on A is small at shorter timescales. The M
2 parameter is controlled by wind speed and persistence, through modification of monodirectionally-aligned surface roughness. This variability indicates that throughout much of coastal Antarctica, a microwave ‘snapshot’ is generally not representative of longer-term conditions.</description><identifier>ISSN: 0022-1430</identifier><identifier>EISSN: 1727-5652</identifier><identifier>DOI: 10.1017/jog.2016.29</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><ispartof>Journal of glaciology, 2016-02, Vol.62 (231), p.170-184</ispartof><rights>Copyright © The Author(s) 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c308t-f4c3a48c378da6ffb861bbbc0d7685c1a691d9d5405f48de92b78de852a151ae3</citedby><cites>FETCH-LOGICAL-c308t-f4c3a48c378da6ffb861bbbc0d7685c1a691d9d5405f48de92b78de852a151ae3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0022143016000290/type/journal_article$$EHTML$$P50$$Gcambridge$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,865,23323,27929,27930,55809</link.rule.ids></links><search><creatorcontrib>FRASER, ALEXANDER D.</creatorcontrib><creatorcontrib>NIGRO, MELISSA A.</creatorcontrib><creatorcontrib>LIGTENBERG, STEFAN R. M.</creatorcontrib><creatorcontrib>LEGRESY, BENOIT</creatorcontrib><creatorcontrib>INOUE, MANA</creatorcontrib><creatorcontrib>CASSANO, JOHN J.</creatorcontrib><creatorcontrib>KUIPERS MUNNEKE, PETER</creatorcontrib><creatorcontrib>LENAERTS, JAN T. M.</creatorcontrib><creatorcontrib>YOUNG, NEAL W.</creatorcontrib><creatorcontrib>TREVERROW, ADAM</creatorcontrib><creatorcontrib>VAN DEN BROEKE, MICHIEL</creatorcontrib><creatorcontrib>ENOMOTO, HIROYUKI</creatorcontrib><title>Drivers of ASCAT C band backscatter variability in the dry snow zone of Antarctica</title><title>Journal of glaciology</title><addtitle>J. Glaciol</addtitle><description>C band backscatter parameters contain information about the upper snowpack/firn in the dry snow zone. The wide incidence angle diversity of the Advanced Scatterometer (ASCAT) gives unprecedented characterisation of backscatter anisotropy, revealing the backscatter response to climatic forcing. The A (isotropic component) and M
2 (bi-sinusoidal azimuth anisotropy) parameters are investigated here, in conjunction with data from atmospheric and snowpack models, to identify the backscatter response to surface forcing parameters (wind speed and persistence, precipitation, surface temperature, density and grain size). The long-term mean A parameter is successfully recreated with a regression using these drivers, indicating strong links between the A parameter and precipitation on long timescales. While the ASCAT time series is too short to determine which factors drive observed trends, factors influencing the seasonal and short timescale variability are revealed. On these timescales, A strongly responds to the propagation of surface temperature cycles/anomalies downward through the firn, via direct modulation of the dielectric constant. The influence of precipitation on A is small at shorter timescales. The M
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2 (bi-sinusoidal azimuth anisotropy) parameters are investigated here, in conjunction with data from atmospheric and snowpack models, to identify the backscatter response to surface forcing parameters (wind speed and persistence, precipitation, surface temperature, density and grain size). The long-term mean A parameter is successfully recreated with a regression using these drivers, indicating strong links between the A parameter and precipitation on long timescales. While the ASCAT time series is too short to determine which factors drive observed trends, factors influencing the seasonal and short timescale variability are revealed. On these timescales, A strongly responds to the propagation of surface temperature cycles/anomalies downward through the firn, via direct modulation of the dielectric constant. The influence of precipitation on A is small at shorter timescales. The M
2 parameter is controlled by wind speed and persistence, through modification of monodirectionally-aligned surface roughness. This variability indicates that throughout much of coastal Antarctica, a microwave ‘snapshot’ is generally not representative of longer-term conditions.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/jog.2016.29</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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title | Drivers of ASCAT C band backscatter variability in the dry snow zone of Antarctica |
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