气候变化领域集成服务门户(CCPortal): A Lagrangian Snow Evolution System for Sea Ice Applications (SnowModel-LG): Part II

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DOI	10.1029/2019JC015900
	A Lagrangian Snow Evolution System for Sea Ice Applications (SnowModel-LG): Part II—Analyses
	Stroeve J.; Liston G.E.; Buzzard S.; Zhou L.; Mallett R.; Barrett A.; Tschudi M.; Tsamados M.; Itkin P.; Stewart J.S.
发表日期	2020
ISSN	21699275
卷号	125 期号:10
英文摘要	Sea ice thickness is a critical variable, both as a climate indicator and for forecasting sea ice conditions on seasonal and longer time scales. The lack of snow depth and density information is a major source of uncertainty in current thickness retrievals from laser and radar altimetry. In response to this data gap, a new Lagrangian snow evolution model (SnowModel-LG) was developed to simulate snow depth, density, and grain size on a pan-Arctic scale, daily from August 1980 through July 2018. In this study, we evaluate the results from this effort against various data sets, including those from Operation IceBridge, ice mass balance buoys, snow buoys, MagnaProbes, and rulers. We further compare modeled snow depths forced by two reanalysis products (Modern Era Retrospective-Analysis for Research and Applications, Version 2 and European Centre for Medium-Range Weather Forecasts Reanalysis, 5th Generation) with those from two historical climatologies, as well as estimates over first-year and multiyear ice from satellite passive microwave observations. Our results highlight the ability of our SnowModel-LG implementation to capture observed spatial and seasonal variability in Arctic snow depth and density, as well as the sensitivity to the choice of reanalysis system used to simulate snow depths. Since 1980, snow depth is found to decrease throughout most regions of the Arctic Ocean, with statistically significant trends during the cold season months in the marginal ice zones around the Arctic Ocean and slight positive trends north of Greenland and near the pole. ©2020. The Authors.
英文关键词	Arctic; climate change; snow on sea ice
语种	英语
来源期刊	Journal of Geophysical Research: Oceans
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/186621
作者单位	Centre for Earth Observations Sciences, University of Manitoba, Winnipeg, MB, Canada; National Snow and Ice Data Center, University of Colorado Boulder, Boulder, CO, United States; Earth Sciences, University College London, London, United Kingdom; Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, United States; Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, United States; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Colorado Center for Astrodynamics Research, University of Colorado Boulder, Boulder, CO, United States; Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
推荐引用方式 GB/T 7714	Stroeve J.,Liston G.E.,Buzzard S.,等. A Lagrangian Snow Evolution System for Sea Ice Applications (SnowModel-LG): Part II—Analyses[J],2020,125(10).
APA	Stroeve J..,Liston G.E..,Buzzard S..,Zhou L..,Mallett R..,...&Stewart J.S..(2020).A Lagrangian Snow Evolution System for Sea Ice Applications (SnowModel-LG): Part II—Analyses.Journal of Geophysical Research: Oceans,125(10).
MLA	Stroeve J.,et al."A Lagrangian Snow Evolution System for Sea Ice Applications (SnowModel-LG): Part II—Analyses".Journal of Geophysical Research: Oceans 125.10(2020).