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...
Main Authors: | , , , , , , , , , , , , , , , , , , , , |
---|---|
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/ |
id |
ftucl:oai:eprints.ucl.ac.uk.OAI2:10157625 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1786184597229273088 |