Snowfall and snow accumulation during the MOSAiC winter and spring seasons

Data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition allowed us to investigate the temporal dynamics of snowfall, snow accumulation and erosion in great detail for almost the whole accumulation season (November 2019 to May 2020). We computed cumula...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: Wagner, David N., Shupe, Matthew D., Cox, Christopher, Persson, Ola G., Uttal, Taneil, Frey, Markus M., Kirchgaessner, Amélie, Schneebeli, Martin, Jaggi, Matthias, Macfarlane, Amy R., Itkin, Polona, Arndt, Stefanie, Hendricks, Stefan, Krampe, Daniela, Nicolaus, Marcel, Ricker, Robert, Regnery, Julia, Kolabutin, Nikolai, Shimanshuck, Egor, Oggier, Marc, Raphael, Ian, Stroeve, Julienne, Lehning, Michael
Format: Text
Language:English
Published: 2022
Subjects:
Online Access:https://doi.org/10.5194/tc-16-2373-2022
https://tc.copernicus.org/articles/16/2373/2022/
id ftcopernicus:oai:publications.copernicus.org:tc94258
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:tc94258 2023-05-15T15:18:30+02:00 Snowfall and snow accumulation during the MOSAiC winter and spring seasons Wagner, David N. Shupe, Matthew D. Cox, Christopher Persson, Ola G. Uttal, Taneil Frey, Markus M. Kirchgaessner, Amélie Schneebeli, Martin Jaggi, Matthias Macfarlane, Amy R. Itkin, Polona Arndt, Stefanie Hendricks, Stefan Krampe, Daniela Nicolaus, Marcel Ricker, Robert Regnery, Julia Kolabutin, Nikolai Shimanshuck, Egor Oggier, Marc Raphael, Ian Stroeve, Julienne Lehning, Michael 2022-06-17 application/pdf https://doi.org/10.5194/tc-16-2373-2022 https://tc.copernicus.org/articles/16/2373/2022/ eng eng doi:10.5194/tc-16-2373-2022 https://tc.copernicus.org/articles/16/2373/2022/ eISSN: 1994-0424 Text 2022 ftcopernicus https://doi.org/10.5194/tc-16-2373-2022 2022-06-20T16:22:42Z Data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition allowed us to investigate the temporal dynamics of snowfall, snow accumulation and erosion in great detail for almost the whole accumulation season (November 2019 to May 2020). We computed cumulative snow water equivalent (SWE) over the sea ice based on snow depth and density retrievals from a SnowMicroPen and approximately weekly measured snow depths along fixed transect paths. We used the derived SWE from the snow cover to compare with precipitation sensors installed during MOSAiC. The data were also compared with ERA5 reanalysis snowfall rates for the drift track. We found an accumulated snow mass of 38 mm SWE between the end of October 2019 and end of April 2020. The initial SWE over first-year ice relative to second-year ice increased from 50 % to 90 % by end of the investigation period. Further, we found that the Vaisala Present Weather Detector 22, an optical precipitation sensor, and installed on a railing on the top deck of research vessel Polarstern , was least affected by blowing snow and showed good agreements with SWE retrievals along the transect. On the contrary, the OTT Pluvio 2 pluviometer and the OTT Parsivel 2 laser disdrometer were largely affected by wind and blowing snow, leading to too high measured precipitation rates. These are largely reduced when eliminating drifting snow periods in the comparison. ERA5 reveals good timing of the snowfall events and good agreement with ground measurements with an overestimation tendency. Retrieved snowfall from the ship-based K a -band ARM zenith radar shows good agreements with SWE of the snow cover and differences comparable to those of ERA5. Based on the results, we suggest the K a -band radar-derived snowfall as an upper limit and the present weather detector on RV Polarstern as a lower limit of a cumulative snowfall range. Based on these findings, we suggest a cumulative snowfall of 72 to 107 mm and a precipitation mass loss of the snow cover ... Text Arctic Sea ice Copernicus Publications: E-Journals Arctic The Cryosphere 16 6 2373 2402
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition allowed us to investigate the temporal dynamics of snowfall, snow accumulation and erosion in great detail for almost the whole accumulation season (November 2019 to May 2020). We computed cumulative snow water equivalent (SWE) over the sea ice based on snow depth and density retrievals from a SnowMicroPen and approximately weekly measured snow depths along fixed transect paths. We used the derived SWE from the snow cover to compare with precipitation sensors installed during MOSAiC. The data were also compared with ERA5 reanalysis snowfall rates for the drift track. We found an accumulated snow mass of 38 mm SWE between the end of October 2019 and end of April 2020. The initial SWE over first-year ice relative to second-year ice increased from 50 % to 90 % by end of the investigation period. Further, we found that the Vaisala Present Weather Detector 22, an optical precipitation sensor, and installed on a railing on the top deck of research vessel Polarstern , was least affected by blowing snow and showed good agreements with SWE retrievals along the transect. On the contrary, the OTT Pluvio 2 pluviometer and the OTT Parsivel 2 laser disdrometer were largely affected by wind and blowing snow, leading to too high measured precipitation rates. These are largely reduced when eliminating drifting snow periods in the comparison. ERA5 reveals good timing of the snowfall events and good agreement with ground measurements with an overestimation tendency. Retrieved snowfall from the ship-based K a -band ARM zenith radar shows good agreements with SWE of the snow cover and differences comparable to those of ERA5. Based on the results, we suggest the K a -band radar-derived snowfall as an upper limit and the present weather detector on RV Polarstern as a lower limit of a cumulative snowfall range. Based on these findings, we suggest a cumulative snowfall of 72 to 107 mm and a precipitation mass loss of the snow cover ...
format Text
author Wagner, David N.
Shupe, Matthew D.
Cox, Christopher
Persson, Ola G.
Uttal, Taneil
Frey, Markus M.
Kirchgaessner, Amélie
Schneebeli, Martin
Jaggi, Matthias
Macfarlane, Amy R.
Itkin, Polona
Arndt, Stefanie
Hendricks, Stefan
Krampe, Daniela
Nicolaus, Marcel
Ricker, Robert
Regnery, Julia
Kolabutin, Nikolai
Shimanshuck, Egor
Oggier, Marc
Raphael, Ian
Stroeve, Julienne
Lehning, Michael
spellingShingle Wagner, David N.
Shupe, Matthew D.
Cox, Christopher
Persson, Ola G.
Uttal, Taneil
Frey, Markus M.
Kirchgaessner, Amélie
Schneebeli, Martin
Jaggi, Matthias
Macfarlane, Amy R.
Itkin, Polona
Arndt, Stefanie
Hendricks, Stefan
Krampe, Daniela
Nicolaus, Marcel
Ricker, Robert
Regnery, Julia
Kolabutin, Nikolai
Shimanshuck, Egor
Oggier, Marc
Raphael, Ian
Stroeve, Julienne
Lehning, Michael
Snowfall and snow accumulation during the MOSAiC winter and spring seasons
author_facet Wagner, David N.
Shupe, Matthew D.
Cox, Christopher
Persson, Ola G.
Uttal, Taneil
Frey, Markus M.
Kirchgaessner, Amélie
Schneebeli, Martin
Jaggi, Matthias
Macfarlane, Amy R.
Itkin, Polona
Arndt, Stefanie
Hendricks, Stefan
Krampe, Daniela
Nicolaus, Marcel
Ricker, Robert
Regnery, Julia
Kolabutin, Nikolai
Shimanshuck, Egor
Oggier, Marc
Raphael, Ian
Stroeve, Julienne
Lehning, Michael
author_sort Wagner, David N.
title Snowfall and snow accumulation during the MOSAiC winter and spring seasons
title_short Snowfall and snow accumulation during the MOSAiC winter and spring seasons
title_full Snowfall and snow accumulation during the MOSAiC winter and spring seasons
title_fullStr Snowfall and snow accumulation during the MOSAiC winter and spring seasons
title_full_unstemmed Snowfall and snow accumulation during the MOSAiC winter and spring seasons
title_sort snowfall and snow accumulation during the mosaic winter and spring seasons
publishDate 2022
url https://doi.org/10.5194/tc-16-2373-2022
https://tc.copernicus.org/articles/16/2373/2022/
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-16-2373-2022
https://tc.copernicus.org/articles/16/2373/2022/
op_doi https://doi.org/10.5194/tc-16-2373-2022
container_title The Cryosphere
container_volume 16
container_issue 6
container_start_page 2373
op_container_end_page 2402
_version_ 1766348699166834688