access_facet Electronic Resources
author_facet Mallett, Robbie D. C.
Stroeve, Julienne C.
Tsamados, Michel
Willatt, Rosemary
Newman, Thomas
Nandan, Vishnu
Landy, Jack C.
Itkin, Polona
Oggier, Marc
Jaggi, Matthias
Perovich, Don
Mallett, Robbie D. C.
Stroeve, Julienne C.
Tsamados, Michel
Willatt, Rosemary
Newman, Thomas
Nandan, Vishnu
Landy, Jack C.
Itkin, Polona
Oggier, Marc
Jaggi, Matthias
Perovich, Don
author Mallett, Robbie D. C.
Stroeve, Julienne C.
Tsamados, Michel
Willatt, Rosemary
Newman, Thomas
Nandan, Vishnu
Landy, Jack C.
Itkin, Polona
Oggier, Marc
Jaggi, Matthias
Perovich, Don
spellingShingle Mallett, Robbie D. C.
Stroeve, Julienne C.
Tsamados, Michel
Willatt, Rosemary
Newman, Thomas
Nandan, Vishnu
Landy, Jack C.
Itkin, Polona
Oggier, Marc
Jaggi, Matthias
Perovich, Don
Journal of Glaciology
Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations
Earth-Surface Processes
author_sort mallett, robbie d. c.
spelling Mallett, Robbie D. C. Stroeve, Julienne C. Tsamados, Michel Willatt, Rosemary Newman, Thomas Nandan, Vishnu Landy, Jack C. Itkin, Polona Oggier, Marc Jaggi, Matthias Perovich, Don 0022-1430 1727-5652 Cambridge University Press (CUP) Earth-Surface Processes http://dx.doi.org/10.1017/jog.2022.18 <jats:title>Abstract</jats:title> <jats:p>The sub-kilometre scale distribution of snow depth on Arctic sea ice impacts atmosphere-ice fluxes of energy and mass, and is of importance for satellite estimates of sea-ice thickness from both radar and lidar altimeters. While information about the mean of this distribution is increasingly available from modelling and remote sensing, the full distribution cannot yet be resolved. We analyse 33 539 snow depth measurements from 499 transects taken at Soviet drifting stations between 1955 and 1991 and derive a simple statistical distribution for snow depth over multi-year ice as a function of only the mean snow depth. We then evaluate this snow depth distribution against snow depth transects that span first-year ice to multiyear ice from the MOSAiC, SHEBA and AMSR-Ice field campaigns. Because the distribution can be generated using only the mean snow depth, it can be used in the downscaling of several existing snow depth products for use in flux modelling and altimetry studies.</jats:p> Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations Journal of Glaciology
doi_str_mv 10.1017/jog.2022.18
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imprint Cambridge University Press (CUP), 2022
imprint_str_mv Cambridge University Press (CUP), 2022
issn 0022-1430
1727-5652
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1727-5652
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match_str mallett:2022:subkilometrescaledistributionofsnowdepthonarcticseaicefromsovietdriftingstations:
publishDateSort 2022
publisher Cambridge University Press (CUP)
recordtype ai
series Journal of Glaciology
source_id 49
title Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations
title_full Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations
title_fullStr Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations
title_full_unstemmed Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations
title_short Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations
title_sort sub-kilometre scale distribution of snow depth on arctic sea ice from soviet drifting stations
topic Earth-Surface Processes
url http://dx.doi.org/10.1017/jog.2022.18
publishDate 2022
physical 1-13
description <jats:title>Abstract</jats:title> <jats:p>The sub-kilometre scale distribution of snow depth on Arctic sea ice impacts atmosphere-ice fluxes of energy and mass, and is of importance for satellite estimates of sea-ice thickness from both radar and lidar altimeters. While information about the mean of this distribution is increasingly available from modelling and remote sensing, the full distribution cannot yet be resolved. We analyse 33 539 snow depth measurements from 499 transects taken at Soviet drifting stations between 1955 and 1991 and derive a simple statistical distribution for snow depth over multi-year ice as a function of only the mean snow depth. We then evaluate this snow depth distribution against snow depth transects that span first-year ice to multiyear ice from the MOSAiC, SHEBA and AMSR-Ice field campaigns. Because the distribution can be generated using only the mean snow depth, it can be used in the downscaling of several existing snow depth products for use in flux modelling and altimetry studies.</jats:p>
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