globalchange  > 气候减缓与适应
DOI: 10.1016/j.atmosres.2013.07.023
论文题名:
Global satellite composites — 20 years of evolutionReview ArticleVolumes 135–136, January 2014, Pages 8-34Richard A. Kohrs, Matthew A. Lazzara, Jerrold O. Robaidek, David A. Santek, Shelley L. KnuthAbstractClose research highlightsPDF (12644 K)Supplementary contentHighlights•Significant improvements have been made to the algorithms used to produce global composites of satellite data.•Different applications require unique compositing techniques.•Challenges still exist with temporal differences and parallax displacement where multi-satellite observations intersect.•Composites are valuable for scientific, operational and educational applications.Open AccessOpen Access ArticleGridded lightning climatology from TRMM-LIS and OTD: Dataset description
作者: Richard A. Kohrsa; ; Author Vitae; Matthew A. LazzarabAuthor Vitae; Jerrold O. RobaidekaAuthor Vitae; David A. SantekcAuthor Vitae; Shelley L. KnuthdAuthor Vitae
刊名: Atmospheric Research
ISSN: 0169-8121
出版年: 2014
发表日期: 2014
卷: Volumes 135–136, 页码:Pages 404-414
语种: 英语
英文关键词: Satellites ; Composite imagery ; Algorithm ; Parallax
英文摘要: For two decades, the University of Wisconsin Space Science and Engineering Center (SSEC) and the Antarctic Meteorological Research Center (AMRC) have been creating global, regional and hemispheric satellite composites. These composites have proven useful in research, operational forecasting, commercial applications and educational outreach. Using the Man computer Interactive Data System (McIDAS) software developed at SSEC, infrared window composites were created by combining Geostationary Operational Environmental Satellite (GOES), and polar orbiting data from the SSEC Data Center and polar data acquired at McMurdo and Palmer stations, Antarctica. Increased computer processing speed has allowed for more advanced algorithms to address the decision making process for co-located pixels. The algorithms have evolved from a simplistic maximum brightness temperature to those that account for distance from the sub-satellite point, parallax displacement, pixel time and resolution. The composites are the state-of-the-art means for merging/mosaicking satellite imagery.
URL: http://www.sciencedirect.com/science/article/pii/S0169809513002172
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/11818
Appears in Collections:气候减缓与适应
气候变化事实与影响

Files in This Item:
File Name/ File Size Content Type Version Access License
1-s2.0-S0169809513002172-main.pdf(12644KB)----开放获取View Download

作者单位: Space Science and Engineering Center, University of Wisconsin-Madison, 1225 West Dayton Street, Madison, WI 53706, USA; Antarctic Meteorological Research Center, Space Science and Engineering Center, University of Wisconsin—Madison, 1225 West Dayton Street, Madison, WI 53706, USA;Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, University of Wisconsin—Madison, 1225 West Dayton Street, Madison, WI 53706, USA
  • d Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, 216 UCB, Boulder, CO 80309, USA

  • Recommended Citation:
    Richard A. Kohrsa,,Author Vitae,等. Global satellite composites — 20 years of evolutionReview ArticleVolumes 135–136, January 2014, Pages 8-34Richard A. Kohrs, Matthew A. Lazzara, Jerrold O. Robaidek, David A. Santek, Shelley L. KnuthAbstractClose research highlightsPDF (12644 K)Supplementary contentHighlights•Significant improvements have been made to the algorithms used to produce global composites of satellite data.•Different applications require unique compositing techniques.•Challenges still exist with temporal differences and parallax displacement where multi-satellite observations intersect.•Composites are valuable for scientific, operational and educational applications.Open AccessOpen Access ArticleGridded lightning climatology from TRMM-LIS and OTD: Dataset description[J]. Atmospheric Research,2014-01-01,Volumes 135–136
    Service
    Recommend this item
    Sava as my favorate item
    Show this item's statistics
    Export Endnote File
    Google Scholar
    Similar articles in Google Scholar
    [Richard A. Kohrsa]'s Articles
    []'s Articles
    [Author Vitae]'s Articles
    百度学术
    Similar articles in Baidu Scholar
    [Richard A. Kohrsa]'s Articles
    []'s Articles
    [Author Vitae]'s Articles
    CSDL cross search
    Similar articles in CSDL Cross Search
    [Richard A. Kohrsa]‘s Articles
    []‘s Articles
    [Author Vitae]‘s Articles
    Related Copyright Policies
    Null
    收藏/分享
    文件名: 1-s2.0-S0169809513002172-main.pdf
    格式: Adobe PDF
    此文件暂不支持浏览
    所有评论 (0)
    暂无评论
     

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