Retrievals of Arctic sea ice melt pond depth and underlying ice thickness using optical data  

作　　者：ZHANG Hang YU Miao LU Peng ZHOU Jiaru LI Zhijun 

机构地区：[1]State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116024,China

出　　处：《Advances in Polar Science》2021年第2期105-117,共13页极地科学进展（英文版）

基　　金：the National Key R&D Program of China(Grant no.2018YFA0605901);the National Natural Science Foundation of China(Grant nos.41922045,41676187).

摘　　要：Melt pond is a distinctive characteristic of the summer Arctic,which affects energy balance in the Arctic system.The Delta-Eddington model(BL)and Two-strEam rAdiative transfer model(TEA)are employed to retrieving pond depth Hpand underlying ice thickness Hi according to the ratio X of the melt-pond albedo in two bands.Results showed that whenλ1=359 nm andλ2=605 nm,the Pearson’s correlation coefficient r between X and Hp is 0.99 for the BL model.The result of TEA model was similar to the BL model.The retrievals of Hp for the two models agreed well with field observations.For Hi,the highest r(0.99)was obtained whenλ1=447 nm andλ2=470 nm for the BL model,λ1=447 nm andλ2=451 nm for the TEA model.Furthermore,the BL model was more suitable for the retrieval of thick ice(0<Hi<3.5 m,R2=0.632),while the TEA model is on the contrary(Hi<1 m,R2=0.842).The present results provide a potential method for the remote sensing on melt pond and ice in the Arctic summer.

关 键 词：Arctic melt pond sea ice remote sensing ALBEDO 

分 类 号：P715.7[天文地球—海洋科学] P731.15