CORC  > 武汉大学
Joint DEnKF-albedo assimilation scheme that considers the common land model subgrid heterogeneity and a snow density-based observation operator for improving snow depth simulations
Xu, Jianhui; Zhang, Feifei; Zhao, Yi; Shu, Hong; Zhong, Kaiwen
刊名JOURNAL OF APPLIED REMOTE SENSING
2016
卷号10
关键词snow depth deterministic ensemble Kalman filter direct insertion snow cover fraction albedo subgrid heterogeneity
ISSN号1931-3195
DOI10.1117/1.JRS.10.036001
URL标识查看原文
收录类别SCIE
语种英语
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4089378
专题武汉大学
推荐引用方式
GB/T 7714
Xu, Jianhui,Zhang, Feifei,Zhao, Yi,et al. Joint DEnKF-albedo assimilation scheme that considers the common land model subgrid heterogeneity and a snow density-based observation operator for improving snow depth simulations[J]. JOURNAL OF APPLIED REMOTE SENSING,2016,10.
APA Xu, Jianhui,Zhang, Feifei,Zhao, Yi,Shu, Hong,&Zhong, Kaiwen.(2016).Joint DEnKF-albedo assimilation scheme that considers the common land model subgrid heterogeneity and a snow density-based observation operator for improving snow depth simulations.JOURNAL OF APPLIED REMOTE SENSING,10.
MLA Xu, Jianhui,et al."Joint DEnKF-albedo assimilation scheme that considers the common land model subgrid heterogeneity and a snow density-based observation operator for improving snow depth simulations".JOURNAL OF APPLIED REMOTE SENSING 10(2016).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace