The potential of sea ice leads as a predictor for summer Arctic sea ice extent

被引:19
|
作者
Zhang, Yuanyuan [1 ,2 ,3 ,5 ]
Cheng, Xiao [1 ,2 ,3 ,5 ]
Liu, Jiping [4 ]
Hui, Fengming [1 ,2 ,3 ,5 ]
机构
[1] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[3] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China
[4] SUNY Albany, Dept Atmospher & Environm Sci, Albany, NY 12222 USA
[5] Univ Corp Polar Res, Beijing 100875, Peoples R China
来源
CRYOSPHERE | 2018年 / 12卷 / 12期
基金
国家重点研发计划;
关键词
THICKNESS INITIALIZATION; FRACTION; OCEAN; CLIMATOLOGY; CIRCULATION; FORECAST; MODEL; AREA;
D O I
10.5194/tc-12-3747-2018
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The Arctic sea ice extent throughout the melt season is closely associated with initial sea ice state in winter and spring. Sea ice leads are important sites of energy fluxes in the Arctic Ocean, which may play an important role in the evolution of Arctic sea ice. In this study, we examine the potential of sea ice leads as a predictor for summer Arctic sea ice extent forecast using a recently developed daily sea ice lead product retrieved from the Moderate-Resolution Imaging Spectroradiometer (MODIS). Our results show that July pan-Arctic sea ice extent can be predicted from the area of sea ice leads integrated from midwinter to late spring, with a prediction error of 0.28 million km(2) that is smaller than the standard deviation of the observed interannual variability. However, the predictive skills for August and September pan-Arctic sea ice extent are very low. When the area of sea ice leads integrated in the Atlantic and central and west Siberian sector of the Arctic is used, it has a significantly strong relationship (high predictability) with both July and August sea ice extent in the Atlantic and central and west Siberian sector of the Arctic. Thus, the realistic representation of sea ice leads (e.g., the areal coverage) in numerical prediction systems might improve the skill of forecast in the Arctic region.
引用
收藏
页码:3747 / 3757
页数:11
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