Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System

Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System
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同化卫星海冰浓度和厚度对 NCEP 气候预报系统北极海冰预报的影响

DOI:
10.1175/jcli-d-17-0093.1
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发表时间:
2017-09
期刊:
影响因子:
4.9
通讯作者:
Xu Shiming
Xu Shiming
中科院分区:
地球科学2区
文献类型:
--
作者:
Chen Zhiqiang;Liu Jiping;Song Mirong;Yang Qinghua;Xu Shiming

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本文采用局部误差子空间变换集合卡尔曼滤波器(LESTKF),对由专用传感器微波成像仪/探测仪获得的海冰浓度和由土壤湿度、海洋盐度和CryoSat-2卫星获得的海冰厚度进行同化。通过三种基于集合的后报模式,包括CTL(不进行任何同化)、LESTKF-1(只进行初始海冰同化)和LESTKF-E5(每5天进行一次海冰同化),考察了同化对北极海冰预报的影响。同化的卫星产品和独立的海冰厚度数据集的评估表明,同化海冰浓度和厚度导致改善北极海冰预报。LESTKF-1初步改善海冰预报。在海冰范围积分约3周后,最初的改善逐渐减弱,但在海冰厚度积分过程中保持相当稳定。我...
AbstractHere sea ice concentration derived from the Special Sensor Microwave Imager/Sounder and thickness derived from the Soil Moisture and Ocean Salinity and CryoSat-2 satellites are assimilated in the National Centers for Environmental Prediction Climate Forecast System using a localized error subspace transform ensemble Kalman filter (LESTKF). Three ensemble-based hindcasts are conducted to examine impacts of the assimilation on Arctic sea ice prediction, including CTL (without any assimilation), LESTKF-1 (with initial sea ice assimilation only), and LESTKF-E5 (with every 5-day sea ice assimilation). Assessment with the assimilated satellite products and independent sea ice thickness datasets shows that assimilating sea ice concentration and thickness leads to improved Arctic sea ice prediction. LESTKF-1 improves sea ice forecast initially. The initial improvement gradually diminishes after ~3-week integration for sea ice extent but remains quite steady through the integration for sea ice thickness. L...
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