Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central Arctic

Snow depth and sea ice thickness were observed applying an ice mass balance buoy (IMB) in the drifting ice station Tara during the International Polar Year in 2007. Detailed in situ observations on meteorological variables and surface fluxes were taken during May to August. For this study, the opera...

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Main Authors: Cheng, Bin, Vihma, Timo, Palo, Timo, Nicolaus, Marcel, Gerland, S., Rontu, Laura, Haapala, Jari, Perovich, D.
Format: Article in Journal/Newspaper
Language:English
Published: Polar Research Institute of China - PRIC 2021
Subjects:
Online Access:http://library.arcticportal.org/2765/
http://library.arcticportal.org/2765/1/A2104006.pdf
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spelling ftarcticportal:oai:generic.eprints.org:2765 2023-12-10T09:39:03+01:00 Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central Arctic Cheng, Bin Vihma, Timo Palo, Timo Nicolaus, Marcel Gerland, S. Rontu, Laura Haapala, Jari Perovich, D. 2021-12 application/pdf http://library.arcticportal.org/2765/ http://library.arcticportal.org/2765/1/A2104006.pdf en eng Polar Research Institute of China - PRIC http://library.arcticportal.org/2765/1/A2104006.pdf Cheng, Bin and Vihma, Timo and Palo, Timo and Nicolaus, Marcel and Gerland, S. and Rontu, Laura and Haapala, Jari and Perovich, D. (2021) Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central Arctic. Advances in Polar Science, 32 (4). pp. 312-326. Atmosphere Cryosphere Oceans Article PeerReviewed 2021 ftarcticportal 2023-11-15T23:54:41Z Snow depth and sea ice thickness were observed applying an ice mass balance buoy (IMB) in the drifting ice station Tara during the International Polar Year in 2007. Detailed in situ observations on meteorological variables and surface fluxes were taken during May to August. For this study, the operational analyses and short-term forecasts from two numerical weather prediction (NWP) models (ECMWF and HIRLAM) were extracted for the Tara drift trajectory. We compared the IMB, meteorological and surface flux observations against the NWP products, also applying a one-dimensional thermodynamic sea ice model (HIGHTSI) to calculate the snow and ice mass balance and its sensitivity to atmospheric forcing. The modelled snow depth time series, controlled by NWP-based precipitation, was in line with the observed one. HIGHTSI reproduced well the snowmelt onset, the progress of the melt, and the first date of snow-free conditions. HIGHTSI performed well also in the late August freezing season. Challenges remain to model the “false bottom” observed during the melting season. The evolution of the vertical temperature profiles in snow and ice was better simulated when the model was forced by in situ observations instead of NWP results. During the melting period, the nonlinear ice temperature profile was successfully modelled with both forcing options. During spring and the melting season, total sea ice mass balance was most sensitive to uncertainties in NWP results for the downward longwave radiation, followed by the downward shortwave radiation, air temperature, and wind speed. Article in Journal/Newspaper Advances in Polar Science Arctic Arctic International Polar Year Polar Science Polar Science Sea ice Arctic Portal Library Arctic
institution Open Polar
collection Arctic Portal Library
op_collection_id ftarcticportal
language English
topic Atmosphere
Cryosphere
Oceans
spellingShingle Atmosphere
Cryosphere
Oceans
Cheng, Bin
Vihma, Timo
Palo, Timo
Nicolaus, Marcel
Gerland, S.
Rontu, Laura
Haapala, Jari
Perovich, D.
Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central Arctic
topic_facet Atmosphere
Cryosphere
Oceans
description Snow depth and sea ice thickness were observed applying an ice mass balance buoy (IMB) in the drifting ice station Tara during the International Polar Year in 2007. Detailed in situ observations on meteorological variables and surface fluxes were taken during May to August. For this study, the operational analyses and short-term forecasts from two numerical weather prediction (NWP) models (ECMWF and HIRLAM) were extracted for the Tara drift trajectory. We compared the IMB, meteorological and surface flux observations against the NWP products, also applying a one-dimensional thermodynamic sea ice model (HIGHTSI) to calculate the snow and ice mass balance and its sensitivity to atmospheric forcing. The modelled snow depth time series, controlled by NWP-based precipitation, was in line with the observed one. HIGHTSI reproduced well the snowmelt onset, the progress of the melt, and the first date of snow-free conditions. HIGHTSI performed well also in the late August freezing season. Challenges remain to model the “false bottom” observed during the melting season. The evolution of the vertical temperature profiles in snow and ice was better simulated when the model was forced by in situ observations instead of NWP results. During the melting period, the nonlinear ice temperature profile was successfully modelled with both forcing options. During spring and the melting season, total sea ice mass balance was most sensitive to uncertainties in NWP results for the downward longwave radiation, followed by the downward shortwave radiation, air temperature, and wind speed.
format Article in Journal/Newspaper
author Cheng, Bin
Vihma, Timo
Palo, Timo
Nicolaus, Marcel
Gerland, S.
Rontu, Laura
Haapala, Jari
Perovich, D.
author_facet Cheng, Bin
Vihma, Timo
Palo, Timo
Nicolaus, Marcel
Gerland, S.
Rontu, Laura
Haapala, Jari
Perovich, D.
author_sort Cheng, Bin
title Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central Arctic
title_short Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central Arctic
title_full Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central Arctic
title_fullStr Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central Arctic
title_full_unstemmed Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central Arctic
title_sort observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the central arctic
publisher Polar Research Institute of China - PRIC
publishDate 2021
url http://library.arcticportal.org/2765/
http://library.arcticportal.org/2765/1/A2104006.pdf
geographic Arctic
geographic_facet Arctic
genre Advances in Polar Science
Arctic
Arctic
International Polar Year
Polar Science
Polar Science
Sea ice
genre_facet Advances in Polar Science
Arctic
Arctic
International Polar Year
Polar Science
Polar Science
Sea ice
op_relation http://library.arcticportal.org/2765/1/A2104006.pdf
Cheng, Bin and Vihma, Timo and Palo, Timo and Nicolaus, Marcel and Gerland, S. and Rontu, Laura and Haapala, Jari and Perovich, D. (2021) Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central Arctic. Advances in Polar Science, 32 (4). pp. 312-326.
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