GSTDTAP  > 资源环境科学
DOI10.1029/2018WR024326
An Intercomparison of Noah Model Skills With Benefits of Assimilating SMOPS Blended and Individual Soil Moisture Retrievals
Yin, Jifu1,2; Zhan, Xiwu2; Liu, Jicheng1,2; Schull, Mitch1,2
2019-04-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2019
卷号55期号:4页码:2572-2592
文章类型Article
语种英语
国家USA
英文摘要

Soil moisture (SM) data from Soil Moisture Operational Product System (SMOPS) have been available and used by users since 2013, and the latest version (3.0) has been operationally released since 2017. The version 3.0 provides a combination of currently all available daily global microwave SM retrievals including observations of ASCATA, ASCATB, SMAP, SMOS, and AMSR2 from 1 April 2015 to present. This study intercompares Noah model skills with benefits of assimilating the SMOPS blended (hereafter, SMOPS) and the five individual satellite SM retrievals. Results show that SMOPS SM product presents a significant advantage in data availability in comparison with the individual SM retrievals. Significant differences in data availability, climatology, and dynamic range of SM values between the bias-corrected SMOPS and individual SM data lead to remarkable distinctions in Noah model SM simulations. Significant improvements of assimilating individual and blended satellite SM retrievals on model SM simulations versus the open loop in both surface and root zone soil layers are evident with reducing the Soil Climate Analysis Network measurements-based root mean square errors and raising the correlations with respect to the enhanced vegetation index. Compared to the individual SM assimilations, model SM estimations with benefits of assimilating the SMOPS data provide the more remarkable improvements in surface soil layer.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000468597900002
WOS关键词SURFACE ; PRODUCT ; IMPLEMENTATION ; VALIDATION ; PARAMETERS ; VEGETATION ; CLIMATE ; DATASET ; IMPACT
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/182207
专题资源环境科学
作者单位1.Univ Maryland, ESSIC CICS, College Pk, MD 20742 USA;
2.NOAA NESDIS Ctr Satellite Applicat & Res, College Pk, MD 20740 USA
推荐引用方式
GB/T 7714
Yin, Jifu,Zhan, Xiwu,Liu, Jicheng,et al. An Intercomparison of Noah Model Skills With Benefits of Assimilating SMOPS Blended and Individual Soil Moisture Retrievals[J]. WATER RESOURCES RESEARCH,2019,55(4):2572-2592.
APA Yin, Jifu,Zhan, Xiwu,Liu, Jicheng,&Schull, Mitch.(2019).An Intercomparison of Noah Model Skills With Benefits of Assimilating SMOPS Blended and Individual Soil Moisture Retrievals.WATER RESOURCES RESEARCH,55(4),2572-2592.
MLA Yin, Jifu,et al."An Intercomparison of Noah Model Skills With Benefits of Assimilating SMOPS Blended and Individual Soil Moisture Retrievals".WATER RESOURCES RESEARCH 55.4(2019):2572-2592.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yin, Jifu]的文章
[Zhan, Xiwu]的文章
[Liu, Jicheng]的文章
百度学术
百度学术中相似的文章
[Yin, Jifu]的文章
[Zhan, Xiwu]的文章
[Liu, Jicheng]的文章
必应学术
必应学术中相似的文章
[Yin, Jifu]的文章
[Zhan, Xiwu]的文章
[Liu, Jicheng]的文章
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。