中国科学院青藏高原研究所机构知识库
Advanced  
ITPCAS OpenIR  > 图书馆  > 期刊论文
学科主题: 地理学::自然地理学
题名: Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data
作者: Tang, WJ (Tang, Wenjun)1, 2; Qin, J (Qin, Jun)1; Yang, K (Yang, Kun)1, 2; Liu, SM (Liu, Shaomin)3; Lu, N (Lu, Ning)4; Niu, XL (Niu, Xiaolei)1
通讯作者: Tang, WJ
刊名: ATMOSPHERIC CHEMISTRY AND PHYSICS
发表日期: 2016
DOI: 10.5194/acp-16-2543-2016
卷: 16, 期:4, 页:2543-2557
收录类别: SCI
合作性质: 国内
文章类型: Article
英文摘要: Cloud parameters (cloud mask, effective particle radius, and liquid/ice water path) are the important inputs in estimating surface solar radiation (SSR). These parameters can be derived from MODIS with high accuracy, but their temporal resolution is too low to obtain high-temporal-resolution SSR retrievals. In order to obtain hourly cloud parameters, an artificial neural network (ANN) is applied in this study to directly construct a functional relationship between MODIS cloud products and Multifunctional Transport Satellite (MTSAT) geostationary satellite signals. In addition, an efficient parameterization model for SSR retrieval is introduced and, when driven with MODIS atmospheric and land products, its root mean square error (RMSE) is about 100Wm(-2) for 44 Baseline Surface Radiation Network (BSRN) stations. Once the estimated cloud parameters and other information (such as aerosol, precipitable water, ozone) are input to the model, we can derive SSR at high spatiotemporal resolution. The retrieved SSR is first evaluated against hourly radiation data at three experimental stations in the Haihe River basin of China. The mean bias error (MBE) and RMSE in hourly SSR estimate are 12.0Wm(-2) (or 3.5 %) and 98.5Wm(-2) (or 28.9 %), respectively. The retrieved SSR is also evaluated against daily radiation data at 90 China Meteorological Administration (CMA) stations. The MBEs are 9.8Wm(-2) (or 5.4 %); the RMSEs in daily and monthly mean SSR estimates are 34.2Wm(-2) (or 19.1 %) and 22.1Wm(-2) (or 12.3 %), respectively. The accuracy is comparable to or even higher than two other radiation products (GLASS and ISCCP-FD), and the present method is more computationally efficient and can produce hourly SSR data at a spatial resolution of 5 km.
语种: 英语
WOS记录号: WOS:000372971500042
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.itpcas.ac.cn/handle/131C11/7870
Appears in Collections:图书馆_期刊论文

Files in This Item:
File Name/ File Size Content Type Version Access License
V.16(4) 2543-2557 2016 .pdf(4559KB)期刊论文作者接受稿开放获取View 联系获取全文

作者单位: 1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China
2.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
3.Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China

Recommended Citation:
Tang, WJ ,Qin, J ,Yang, K ,et al. Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2016,16(4):2543-2557.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Tang, WJ (Tang, Wenjun)]'s Articles
[Qin, J (Qin, Jun)]'s Articles
[Yang, K (Yang, Kun)]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Tang, WJ (Tang, Wenjun)]‘s Articles
[Qin, J (Qin, Jun)]‘s Articles
[Yang, K (Yang, Kun)]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: V.16(4) 2543-2557 2016 .pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院青藏高原研究所 - Feedback
Powered by CSpace