A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I – Model Description
A Lagrangian snow-evolution model (SnowModel-LG) was used to produce daily, pan-Arctic, snow-on-sea-ice, snow property distributions on a 25 × 25-km grid, from 1 August 1980 through 31 July 2018 (38 years). The model was forced with NASA's Modern Era Retrospective-Analysis for Research and Appl...
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Online Access: | https://hdl.handle.net/10037/24800 https://doi.org/10.1029/2019JC015913 |
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ftunivtroemsoe:oai:munin.uit.no:10037/24800 2023-05-15T15:10:50+02:00 A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I – Model Description Liston, Glen E. Itkin, Polona Stroeve, Julienne C. Tschudi, Mark Stewart, J. Scott Pedersen, Stine Højlund Reinking, A.K. Elder, Kelly 2020-08-06 https://hdl.handle.net/10037/24800 https://doi.org/10.1029/2019JC015913 eng eng Wiley Journal of Geophysical Research (JGR): Oceans Liston, Itkin, Stroeve, Tschudi, Stewart, Pedersen SH, Reinking A, Elder. A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I – Model Description. Journal of Geophysical Research (JGR): Oceans. 2020 FRIDAID 1833644 doi:10.1029/2019JC015913 2169-9275 2169-9291 https://hdl.handle.net/10037/24800 openAccess Copyright 2020 The Author(s) Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2020 ftunivtroemsoe https://doi.org/10.1029/2019JC015913 2022-04-20T22:58:30Z A Lagrangian snow-evolution model (SnowModel-LG) was used to produce daily, pan-Arctic, snow-on-sea-ice, snow property distributions on a 25 × 25-km grid, from 1 August 1980 through 31 July 2018 (38 years). The model was forced with NASA's Modern Era Retrospective-Analysis for Research and Applications-Version 2 (MERRA-2) and European Centre for Medium-Range Weather Forecasts (ECMWF) ReAnalysis-5th Generation (ERA5) atmospheric reanalyses, and National Snow and Ice Data Center (NSIDC) sea ice parcel concentration and trajectory data sets (approximately 61,000, 14 × 14-km parcels). The simulations performed full surface and internal energy and mass balances within a multilayer snowpack evolution system. Processes and features accounted for included rainfall, snowfall, sublimation from static-surfaces and blowing-snow, snow melt, snow density evolution, snow temperature profiles, energy and mass transfers within the snowpack, superimposed ice, and ice dynamics. The simulations produced horizontal snow spatial structures that likely exist in the natural system but have not been revealed in previous studies spanning these spatial and temporal domains. Blowing-snow sublimation made a significant contribution to the snowpack mass budget. The superimposed ice layer was minimal and decreased over the last four decades. Snow carryover to the next accumulation season was minimal and sensitive to the melt-season atmospheric forcing (e.g., the average summer melt period was 3 weeks or 50% longer with ERA5 forcing than MERRA-2 forcing). Observed ice dynamics controlled the ice parcel age (in days), and ice age exerted a first-order control on snow property evolution. Article in Journal/Newspaper Arctic National Snow and Ice Data Center Sea ice University of Tromsø: Munin Open Research Archive Arctic Merra ENVELOPE(12.615,12.615,65.816,65.816) Journal of Geophysical Research: Oceans 125 10 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
description |
A Lagrangian snow-evolution model (SnowModel-LG) was used to produce daily, pan-Arctic, snow-on-sea-ice, snow property distributions on a 25 × 25-km grid, from 1 August 1980 through 31 July 2018 (38 years). The model was forced with NASA's Modern Era Retrospective-Analysis for Research and Applications-Version 2 (MERRA-2) and European Centre for Medium-Range Weather Forecasts (ECMWF) ReAnalysis-5th Generation (ERA5) atmospheric reanalyses, and National Snow and Ice Data Center (NSIDC) sea ice parcel concentration and trajectory data sets (approximately 61,000, 14 × 14-km parcels). The simulations performed full surface and internal energy and mass balances within a multilayer snowpack evolution system. Processes and features accounted for included rainfall, snowfall, sublimation from static-surfaces and blowing-snow, snow melt, snow density evolution, snow temperature profiles, energy and mass transfers within the snowpack, superimposed ice, and ice dynamics. The simulations produced horizontal snow spatial structures that likely exist in the natural system but have not been revealed in previous studies spanning these spatial and temporal domains. Blowing-snow sublimation made a significant contribution to the snowpack mass budget. The superimposed ice layer was minimal and decreased over the last four decades. Snow carryover to the next accumulation season was minimal and sensitive to the melt-season atmospheric forcing (e.g., the average summer melt period was 3 weeks or 50% longer with ERA5 forcing than MERRA-2 forcing). Observed ice dynamics controlled the ice parcel age (in days), and ice age exerted a first-order control on snow property evolution. |
format |
Article in Journal/Newspaper |
author |
Liston, Glen E. Itkin, Polona Stroeve, Julienne C. Tschudi, Mark Stewart, J. Scott Pedersen, Stine Højlund Reinking, A.K. Elder, Kelly |
spellingShingle |
Liston, Glen E. Itkin, Polona Stroeve, Julienne C. Tschudi, Mark Stewart, J. Scott Pedersen, Stine Højlund Reinking, A.K. Elder, Kelly A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I – Model Description |
author_facet |
Liston, Glen E. Itkin, Polona Stroeve, Julienne C. Tschudi, Mark Stewart, J. Scott Pedersen, Stine Højlund Reinking, A.K. Elder, Kelly |
author_sort |
Liston, Glen E. |
title |
A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I – Model Description |
title_short |
A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I – Model Description |
title_full |
A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I – Model Description |
title_fullStr |
A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I – Model Description |
title_full_unstemmed |
A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I – Model Description |
title_sort |
lagrangian snow‐evolution system for sea‐ice applications (snowmodel‐lg): part i – model description |
publisher |
Wiley |
publishDate |
2020 |
url |
https://hdl.handle.net/10037/24800 https://doi.org/10.1029/2019JC015913 |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Arctic Merra |
geographic_facet |
Arctic Merra |
genre |
Arctic National Snow and Ice Data Center Sea ice |
genre_facet |
Arctic National Snow and Ice Data Center Sea ice |
op_relation |
Journal of Geophysical Research (JGR): Oceans Liston, Itkin, Stroeve, Tschudi, Stewart, Pedersen SH, Reinking A, Elder. A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I – Model Description. Journal of Geophysical Research (JGR): Oceans. 2020 FRIDAID 1833644 doi:10.1029/2019JC015913 2169-9275 2169-9291 https://hdl.handle.net/10037/24800 |
op_rights |
openAccess Copyright 2020 The Author(s) |
op_doi |
https://doi.org/10.1029/2019JC015913 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
125 |
container_issue |
10 |
_version_ |
1766341784109056000 |