基于改进FCLS算法的南极海冰密集度估算及算法比较  

ESTIMATION OF ANTARCTIC SEA ICE CONCENTRATION BASED ON AN IMPROVED FCLS ALGORITHM

作　　者：宋翔宇 刘婷婷[1] 王泽民[1] 刘艳霞 

机构地区：[1]武汉大学中国南极测绘研究中心,湖北武汉430079 [2]武汉市测绘研究院,湖北武汉430022

出　　处：《极地研究》2018年第1期67-76,共10页Chinese Journal of Polar Research

基　　金：国家自然科学基金(41676179;41531069);南北极环境综合考察与评估专项(CHINARE2016-02-04)资助

摘　　要：海冰具有良好的热力隔绝效应,它通过影响海洋和大气的热交换进而影响全球的气候变化。海冰密集度是极区海冰研究的重要指标之一。为实现高空间分辨率多类型海冰密集度的估算,本文将亮温极化梯度率和光谱梯度率引入基于全约束最小二乘法(fully constrained least squares,FCLS)的海冰密集度估算方法,并利用南极海冰过程与气候计划(Antarctic Sea Ice Processes and Climate,ASPe Ct)对改进方法的精度进行验证,然后与NASA Team2(NT2)算法和ARTIST Sea Ice(ASI)算法获得的海冰密集度结果进行了对比分析。结果显示,3种算法中本研究的方法精度最高,全年均方差13.8%,偏差为-0.7%;改进的方法对多年冰的估算精度优于一年冰。Sea ice has a heat isolation effect that could influence global climate change via modification of the exchange of heat between the ocean and the atmosphere.Sea ice concentration is one of the most important indicators in polar sea ice research.To achieve high spatial resolution in estimations of multitype sea ice concentrations,this study introduced a polarization gradient rate and a spectral gradient rate into a fully constrained least squares(FCLS) algorithm.Accuracy was validated using Antarctic Sea Ice Processes and Climate(ASPeCt) data,and the results were compared with NASA Team2(NT2) and Arctic Radiation and Turbulence Interaction Study Sea Ice(ASI) algorithms.The root mean square error(RMSE) and bias of the improved FCLS algorithm throughout the year were 13.8% and-0.7%,respectively.The accuracy of the improved algorithm was found better for multiyear ice than first-year ice.

关 键 词：南极 被动微波数据 海冰密集度 FCLS 

分 类 号：P731.15[天文地球—海洋科学]