The MODIS cloud products:: Algorithms and examples from Terra

被引:1419
作者
Platnick, S [1 ]
King, MD
Ackerman, SA
Menzel, WP
Baum, BA
Riédi, JC
Frey, RA
机构
[1] NASA, Goddard Space Flight Ctr, Atmospheres Lab, Greenbelt, MD 20771 USA
[2] NASA, Goddard Space Flight Ctr, Earth Sci Directorate, Greenbelt, MD 20771 USA
[3] Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI 53706 USA
[4] Univ Wisconsin, NOAA, Natl Environm Satellite Data & Informat Serv, Madison, WI 53706 USA
[5] NASA, Langley Res Ctr, Hampton, VA 23681 USA
[6] Univ Maryland Baltimore Cty, Goddard Earth Sci & Technol Ctr, Baltimore, MD 21228 USA
[7] Univ Wisconsin, Cooperat Inst Meteorol Satellite Studies, Madison, WI 53706 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2003年 / 41卷 / 02期
关键词
clouds; meteorology; remote sensing; satellite applications; terrestrial atmosphere;
D O I
10.1109/TGRS.2002.808301
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The Moderate Resolution Imaging Spectroradiometer (MODIS) is one of five instruments aboard the Terra Earth Observing System (EOS) platform launched in December 1999. After achieving final orbit, MODIS began earth observations in late February 2000 and has been acquiring data since that time. The instrument is also being flown on the Aqua spacecraft, launched in May 2002. A comprehensive set of remote sensing algorithms for cloud detection and the retrieval of cloud physical and optical properties have been developed by members of the MODIS atmosphere science team. The archived products from these algorithms have applications in climate change studies, climate modeling, numerical weather prediction, as well as fundamental atmospheric research. In addition to an extensive cloud mask, products include cloud-top properties (temperature, pressure, effective emissivity), cloud thermodynamic phase, cloud optical and microphysical parameters (optical thickness, effective particle radius, water path), as well as derived statistics. We will describe the various algorithms being used for the remote sensing of cloud properties from MODIS data with an emphasis on the pixel-level retrievals (referred to as Level-2 products), with 1-km or 5-km spatial resolution at nadir. An example of each Level-2 cloud product from a common data granule (5 min of data) off the coast of South America will be discussed. Future efforts will also be mentioned. Relevant points related to the global gridded statistics products (Level-3) are highlighted though additional details are given in an accompanying paper in this issue.
引用
收藏
页码:459 / 473
页数:15
相关论文
共 52 条
  • [1] Discriminating clear sky from clouds with MODIS
    Ackerman, SA
    Strabala, KI
    Menzel, WP
    Frey, RA
    Moeller, CC
    Gumley, LE
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1998, 103 (D24) : 32141 - 32157
  • [2] THE MODERATE RESOLUTION IMAGING SPECTROMETER (MODIS) SCIENCE AND DATA SYSTEM REQUIREMENTS
    ARDANUY, PE
    HAN, D
    SALOMONSON, VV
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1991, 29 (01): : 75 - 88
  • [3] ARKING A, 1985, J CLIM APPL METEOROL, V24, P322, DOI 10.1175/1520-0450(1985)024<0322:ROCCPF>2.0.CO
  • [4] 2
  • [5] Recent Northern Hemisphere snow extent: A comparison of data derived from visible and microwave satellite sensors
    Armstrong, RL
    Brodzik, MJ
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2001, 28 (19) : 3673 - 3676
  • [6] Airborne spectral measurements of surface-atmosphere anisotropy for arctic sea ice and tundra
    Arnold, GT
    Tsay, SC
    King, MD
    Li, JY
    Soulen, PF
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (18) : 3763 - 3781
  • [7] Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1
    Barnes, WL
    Pagano, TS
    Salomonson, VV
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (04): : 1088 - 1100
  • [8] Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS 1. Data and models
    Baum, BA
    Kratz, DP
    Yang, P
    Ou, SC
    Hu, YX
    Soulen, PF
    Tsay, SC
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2000, 105 (D9) : 11767 - 11780
  • [9] BAUM BA, 1994, J APPL METEOROL, V33, P107, DOI 10.1175/1520-0450(1994)033<0107:CCRUIS>2.0.CO
  • [10] 2