Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic

Uncertainty in snow properties impacts the accuracy of Arctic sea ice thickness estimates from radar altimetry. On first-year sea ice (FYI), spatiotemporal variations in snow properties can cause the Ku-band main radar scattering horizon to appear above the snow/sea ice interface. This can increase...

Full description

Bibliographic Details
Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Nandan, Vishnu, Scharien, Randall K., Geldsetzer, Torsten, Kwok, Ronald, Yackel, John J., Mahmud, Mallik S., Rosel, Anja, Tonboe, Rasmus, Granskog, Mats, Willatt, Rosemary, Stroeve, Julienne, Nomura, Daiki, Frey, Markus
Format: Article in Journal/Newspaper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/527641/
https://nora.nerc.ac.uk/id/eprint/527641/1/09000883.pdf
https://ieeexplore.ieee.org/document/9000883
id ftnerc:oai:nora.nerc.ac.uk:527641
record_format openpolar
spelling ftnerc:oai:nora.nerc.ac.uk:527641 2023-05-15T14:27:43+02:00 Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic Nandan, Vishnu Scharien, Randall K. Geldsetzer, Torsten Kwok, Ronald Yackel, John J. Mahmud, Mallik S. Rosel, Anja Tonboe, Rasmus Granskog, Mats Willatt, Rosemary Stroeve, Julienne Nomura, Daiki Frey, Markus 2020-02-17 text http://nora.nerc.ac.uk/id/eprint/527641/ https://nora.nerc.ac.uk/id/eprint/527641/1/09000883.pdf https://ieeexplore.ieee.org/document/9000883 en eng Institute of Electrical and Electronics Engineers Inc. https://nora.nerc.ac.uk/id/eprint/527641/1/09000883.pdf Nandan, Vishnu; Scharien, Randall K.; Geldsetzer, Torsten; Kwok, Ronald; Yackel, John J.; Mahmud, Mallik S.; Rosel, Anja; Tonboe, Rasmus; Granskog, Mats; Willatt, Rosemary; Stroeve, Julienne; Nomura, Daiki; Frey, Markus orcid:0000-0003-0535-0416 . 2020 Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13. 1082-1096. https://doi.org/10.1109/JSTARS.2020.2966432 <https://doi.org/10.1109/JSTARS.2020.2966432> cc_by_4 CC-BY Publication - Article PeerReviewed 2020 ftnerc https://doi.org/10.1109/JSTARS.2020.2966432 2023-02-04T19:50:39Z Uncertainty in snow properties impacts the accuracy of Arctic sea ice thickness estimates from radar altimetry. On first-year sea ice (FYI), spatiotemporal variations in snow properties can cause the Ku-band main radar scattering horizon to appear above the snow/sea ice interface. This can increase the estimated sea ice freeboard by several centimeters, leading to FYI thickness overestimations. This article examines the expected changes in Ku-band main scattering horizon and its impact on FYI thickness estimates, with variations in snow temperature, salinity, and density derived from ten naturally occurring Arctic FYI Cases encompassing saline/nonsaline, warm/cold, simple/complexly layered snow (4–45 cm) overlying FYI (48–170 cm). Using a semi-empirical modeling approach, snow properties from these Cases are used to derive layer-wise brine volume and dielectric constant estimates, to simulate the Ku-band main scattering horizon and delays in radar propagation speed. Differences between modeled and observed FYI thickness are calculated to assess sources of error. Under both cold and warm conditions, saline snow covers are shown to shift the main scattering horizon above from the snow/sea ice interface, causing thickness retrieval errors. Overestimates in FYI thicknesses of up to 65% are found for warm, saline snow overlaying thin sea ice. Our simulations exhibited a distinct shift in the main scattering horizon when the snow layer densities became greater than 440 kg/m 3 , especially under warmer snow conditions. Our simulations suggest a mean Ku-band propagation delay for snow of 39%, which is higher than 25%, suggested in previous studies. Article in Journal/Newspaper Arctic Arctic Sea ice Natural Environment Research Council: NERC Open Research Archive Arctic IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 1082 1096
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language English
description Uncertainty in snow properties impacts the accuracy of Arctic sea ice thickness estimates from radar altimetry. On first-year sea ice (FYI), spatiotemporal variations in snow properties can cause the Ku-band main radar scattering horizon to appear above the snow/sea ice interface. This can increase the estimated sea ice freeboard by several centimeters, leading to FYI thickness overestimations. This article examines the expected changes in Ku-band main scattering horizon and its impact on FYI thickness estimates, with variations in snow temperature, salinity, and density derived from ten naturally occurring Arctic FYI Cases encompassing saline/nonsaline, warm/cold, simple/complexly layered snow (4–45 cm) overlying FYI (48–170 cm). Using a semi-empirical modeling approach, snow properties from these Cases are used to derive layer-wise brine volume and dielectric constant estimates, to simulate the Ku-band main scattering horizon and delays in radar propagation speed. Differences between modeled and observed FYI thickness are calculated to assess sources of error. Under both cold and warm conditions, saline snow covers are shown to shift the main scattering horizon above from the snow/sea ice interface, causing thickness retrieval errors. Overestimates in FYI thicknesses of up to 65% are found for warm, saline snow overlaying thin sea ice. Our simulations exhibited a distinct shift in the main scattering horizon when the snow layer densities became greater than 440 kg/m 3 , especially under warmer snow conditions. Our simulations suggest a mean Ku-band propagation delay for snow of 39%, which is higher than 25%, suggested in previous studies.
format Article in Journal/Newspaper
author Nandan, Vishnu
Scharien, Randall K.
Geldsetzer, Torsten
Kwok, Ronald
Yackel, John J.
Mahmud, Mallik S.
Rosel, Anja
Tonboe, Rasmus
Granskog, Mats
Willatt, Rosemary
Stroeve, Julienne
Nomura, Daiki
Frey, Markus
spellingShingle Nandan, Vishnu
Scharien, Randall K.
Geldsetzer, Torsten
Kwok, Ronald
Yackel, John J.
Mahmud, Mallik S.
Rosel, Anja
Tonboe, Rasmus
Granskog, Mats
Willatt, Rosemary
Stroeve, Julienne
Nomura, Daiki
Frey, Markus
Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic
author_facet Nandan, Vishnu
Scharien, Randall K.
Geldsetzer, Torsten
Kwok, Ronald
Yackel, John J.
Mahmud, Mallik S.
Rosel, Anja
Tonboe, Rasmus
Granskog, Mats
Willatt, Rosemary
Stroeve, Julienne
Nomura, Daiki
Frey, Markus
author_sort Nandan, Vishnu
title Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic
title_short Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic
title_full Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic
title_fullStr Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic
title_full_unstemmed Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic
title_sort snow property controls on modeled ku-band altimeter estimates of first-year sea ice thickness: case studies from the canadian and norwegian arctic
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url http://nora.nerc.ac.uk/id/eprint/527641/
https://nora.nerc.ac.uk/id/eprint/527641/1/09000883.pdf
https://ieeexplore.ieee.org/document/9000883
geographic Arctic
geographic_facet Arctic
genre Arctic
Arctic
Sea ice
genre_facet Arctic
Arctic
Sea ice
op_relation https://nora.nerc.ac.uk/id/eprint/527641/1/09000883.pdf
Nandan, Vishnu; Scharien, Randall K.; Geldsetzer, Torsten; Kwok, Ronald; Yackel, John J.; Mahmud, Mallik S.; Rosel, Anja; Tonboe, Rasmus; Granskog, Mats; Willatt, Rosemary; Stroeve, Julienne; Nomura, Daiki; Frey, Markus orcid:0000-0003-0535-0416 . 2020 Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13. 1082-1096. https://doi.org/10.1109/JSTARS.2020.2966432 <https://doi.org/10.1109/JSTARS.2020.2966432>
op_rights cc_by_4
op_rightsnorm CC-BY
op_doi https://doi.org/10.1109/JSTARS.2020.2966432
container_title IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
container_volume 13
container_start_page 1082
op_container_end_page 1096
_version_ 1766301588017643520