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 I

CCPortal

DOI	10.1029/2019JC015913
	A Lagrangian Snow-Evolution System for Sea-Ice Applications (SnowModel-LG): Part I—Model Description
	Liston G.E.; Itkin P.; Stroeve J.; Tschudi M.; Stewart J.S.; Pedersen S.H.; Reinking A.K.; Elder K.
发表日期	2020
ISSN	21699275
卷号	125 期号:10
英文摘要	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. ©2020. The Authors.
英文关键词	Arctic; Lagrangian; snow-on-sea-ice; SnowModel-LG
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/186635
作者单位	Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University, Fort Collins, CO, United States; Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway; Earth Sciences, University College London, London, United Kingdom; National Snow and Ice Data Center (NSIDC), University of Colorado Boulder, Boulder, CO, United States; Colorado Center for Astrodynamics Research (CCAR), University of Colorado Boulder, Boulder, CO, United States; Department of Biological Sciences, University of Alaska Anchorage, Anchorage, AK, United States; Rocky Mountain Research Station, USDA Forest Service, Fort Collins, CO, United States
推荐引用方式 GB/T 7714	Liston G.E.,Itkin P.,Stroeve J.,等. A Lagrangian Snow-Evolution System for Sea-Ice Applications (SnowModel-LG): Part I—Model Description[J],2020,125(10).
APA	Liston G.E..,Itkin P..,Stroeve J..,Tschudi M..,Stewart J.S..,...&Elder K..(2020).A Lagrangian Snow-Evolution System for Sea-Ice Applications (SnowModel-LG): Part I—Model Description.Journal of Geophysical Research: Oceans,125(10).
MLA	Liston G.E.,et al."A Lagrangian Snow-Evolution System for Sea-Ice Applications (SnowModel-LG): Part I—Model Description".Journal of Geophysical Research: Oceans 125.10(2020).