Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate)

Arctic rain on snow (ROS) deposits liquid water onto existing snowpacks. Upon refreezing, this can form icy crusts at the surface or within the snowpack. By altering radar backscatter and microwave emissivity, ROS over sea ice can influence the accuracy of sea ice variables retrieved from satellite...

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Main Authors: Stroeve, Julienne, Nandan, Vishnu, Willatt, Rosemary, Dadic, Ruzica, Rostosky, Philip, Gallagher, Michael, Mallett, Robbie, Barrett, Andrew, Hendricks, Stefan, Tonboe, Rasmus, McCrystall, Michelle, Serreze, Mark, Thielke, Linda, Spreen, Gunnar, Newman, Thomas, Yackel, John, Ricker, Robert, Tsamados, Michel, Macfarlane, Amy, Hannula, Henna-Reetta, Schneebeli, Martin
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus GmbH 2022
Subjects:
Online Access:https://discovery.ucl.ac.uk/id/eprint/10157625/1/Willatt_Rain%20on%20snow%20%28ROS%29%20understudied%20in%20sea%20ice%20remote%20sensing_VoR.pdf
https://discovery.ucl.ac.uk/id/eprint/10157625/
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spelling ftucl:oai:eprints.ucl.ac.uk.OAI2:10157625 2023-12-24T10:13:39+01:00 Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) Stroeve, Julienne Nandan, Vishnu Willatt, Rosemary Dadic, Ruzica Rostosky, Philip Gallagher, Michael Mallett, Robbie Barrett, Andrew Hendricks, Stefan Tonboe, Rasmus McCrystall, Michelle Serreze, Mark Thielke, Linda Spreen, Gunnar Newman, Thomas Yackel, John Ricker, Robert Tsamados, Michel Macfarlane, Amy Hannula, Henna-Reetta Schneebeli, Martin 2022 text https://discovery.ucl.ac.uk/id/eprint/10157625/1/Willatt_Rain%20on%20snow%20%28ROS%29%20understudied%20in%20sea%20ice%20remote%20sensing_VoR.pdf https://discovery.ucl.ac.uk/id/eprint/10157625/ eng eng Copernicus GmbH https://discovery.ucl.ac.uk/id/eprint/10157625/1/Willatt_Rain%20on%20snow%20%28ROS%29%20understudied%20in%20sea%20ice%20remote%20sensing_VoR.pdf https://discovery.ucl.ac.uk/id/eprint/10157625/ open The Cryosphere , 16 (10) pp. 4223-4250. (2022) Article 2022 ftucl 2023-11-27T13:07:37Z Arctic rain on snow (ROS) deposits liquid water onto existing snowpacks. Upon refreezing, this can form icy crusts at the surface or within the snowpack. By altering radar backscatter and microwave emissivity, ROS over sea ice can influence the accuracy of sea ice variables retrieved from satellite radar altimetry, scatterometers, and passive microwave radiometers. During the Arctic Ocean MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition, there was an unprecedented opportunity to observe a ROS event using in situ active and passive microwave instruments similar to those deployed on satellite platforms. During liquid water accumulation in the snowpack from rain and increased melt, there was a 4-fold decrease in radar energy returned at Ku- and Ka-bands. After the snowpack refroze and ice layers formed, this decrease was followed by a 6-fold increase in returned energy. Besides altering the radar backscatter, analysis of the returned waveforms shows the waveform shape changed in response to rain and refreezing. Microwave emissivity at 19 and 89 GHz increased with increasing liquid water content and decreased as the snowpack refroze, yet subsequent ice layers altered the polarization difference. Corresponding analysis of the CryoSat-2 waveform shape and backscatter as well as AMSR2 brightness temperatures further shows that the rain and refreeze were significant enough to impact satellite returns. Our analysis provides the first detailed in situ analysis of the impacts of ROS and subsequent refreezing on both active and passive microwave observations, providing important baseline knowledge for detecting ROS over sea ice and assessing their impacts on satellite-derived sea ice variables. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice The Cryosphere University College London: UCL Discovery Arctic Arctic Ocean
institution Open Polar
collection University College London: UCL Discovery
op_collection_id ftucl
language English
description Arctic rain on snow (ROS) deposits liquid water onto existing snowpacks. Upon refreezing, this can form icy crusts at the surface or within the snowpack. By altering radar backscatter and microwave emissivity, ROS over sea ice can influence the accuracy of sea ice variables retrieved from satellite radar altimetry, scatterometers, and passive microwave radiometers. During the Arctic Ocean MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition, there was an unprecedented opportunity to observe a ROS event using in situ active and passive microwave instruments similar to those deployed on satellite platforms. During liquid water accumulation in the snowpack from rain and increased melt, there was a 4-fold decrease in radar energy returned at Ku- and Ka-bands. After the snowpack refroze and ice layers formed, this decrease was followed by a 6-fold increase in returned energy. Besides altering the radar backscatter, analysis of the returned waveforms shows the waveform shape changed in response to rain and refreezing. Microwave emissivity at 19 and 89 GHz increased with increasing liquid water content and decreased as the snowpack refroze, yet subsequent ice layers altered the polarization difference. Corresponding analysis of the CryoSat-2 waveform shape and backscatter as well as AMSR2 brightness temperatures further shows that the rain and refreeze were significant enough to impact satellite returns. Our analysis provides the first detailed in situ analysis of the impacts of ROS and subsequent refreezing on both active and passive microwave observations, providing important baseline knowledge for detecting ROS over sea ice and assessing their impacts on satellite-derived sea ice variables.
format Article in Journal/Newspaper
author Stroeve, Julienne
Nandan, Vishnu
Willatt, Rosemary
Dadic, Ruzica
Rostosky, Philip
Gallagher, Michael
Mallett, Robbie
Barrett, Andrew
Hendricks, Stefan
Tonboe, Rasmus
McCrystall, Michelle
Serreze, Mark
Thielke, Linda
Spreen, Gunnar
Newman, Thomas
Yackel, John
Ricker, Robert
Tsamados, Michel
Macfarlane, Amy
Hannula, Henna-Reetta
Schneebeli, Martin
spellingShingle Stroeve, Julienne
Nandan, Vishnu
Willatt, Rosemary
Dadic, Ruzica
Rostosky, Philip
Gallagher, Michael
Mallett, Robbie
Barrett, Andrew
Hendricks, Stefan
Tonboe, Rasmus
McCrystall, Michelle
Serreze, Mark
Thielke, Linda
Spreen, Gunnar
Newman, Thomas
Yackel, John
Ricker, Robert
Tsamados, Michel
Macfarlane, Amy
Hannula, Henna-Reetta
Schneebeli, Martin
Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate)
author_facet Stroeve, Julienne
Nandan, Vishnu
Willatt, Rosemary
Dadic, Ruzica
Rostosky, Philip
Gallagher, Michael
Mallett, Robbie
Barrett, Andrew
Hendricks, Stefan
Tonboe, Rasmus
McCrystall, Michelle
Serreze, Mark
Thielke, Linda
Spreen, Gunnar
Newman, Thomas
Yackel, John
Ricker, Robert
Tsamados, Michel
Macfarlane, Amy
Hannula, Henna-Reetta
Schneebeli, Martin
author_sort Stroeve, Julienne
title Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate)
title_short Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate)
title_full Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate)
title_fullStr Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate)
title_full_unstemmed Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate)
title_sort rain on snow (ros) understudied in sea ice remote sensing: a multi-sensor analysis of ros during mosaic (multidisciplinary drifting observatory for the study of arctic climate)
publisher Copernicus GmbH
publishDate 2022
url https://discovery.ucl.ac.uk/id/eprint/10157625/1/Willatt_Rain%20on%20snow%20%28ROS%29%20understudied%20in%20sea%20ice%20remote%20sensing_VoR.pdf
https://discovery.ucl.ac.uk/id/eprint/10157625/
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
The Cryosphere
genre_facet Arctic
Arctic Ocean
Sea ice
The Cryosphere
op_source The Cryosphere , 16 (10) pp. 4223-4250. (2022)
op_relation https://discovery.ucl.ac.uk/id/eprint/10157625/1/Willatt_Rain%20on%20snow%20%28ROS%29%20understudied%20in%20sea%20ice%20remote%20sensing_VoR.pdf
https://discovery.ucl.ac.uk/id/eprint/10157625/
op_rights open
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