Satellite remote sensing of multiple cloud layers

被引:0
|
作者
Baum, BA
Uttal, T
Poellot, M
Ackerman, TP
Alvarez, JM
Intrieri, J
Starr, DO
Titlow, J
Tovinkere, V
Clothiaux, E
机构
[1] NOAA,ENVIRONM TECHNOL LAB,BOULDER,CO
[2] UNIV N DAKOTA,GRAND FORKS,ND 58201
[3] PENN STATE UNIV,UNIVERSITY PK,PA 16802
[4] NASA,GODDARD SPACE FLIGHT CTR,GREENBELT,MD 20771
[5] LOCKHEED ENGN & SCI CO,HAMPTON,VA 23666
关键词
D O I
10.1175/1520-0469(1995)052<4210:SRSOMC>2.0.CO;2
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The goals of the current study are threefold: 1) to present a multispectral, multiresolution (MSMR) methodology for analysis of scenes containing multiple cloud layers; 2) to apply the MSMR method to two multilevel cloud scenes recorded by the NOAA Advanced Very High Resolution Radiometer (AVHRR) and the High Resolution Infrared Radiometer Sounder (HIRS/2) instruments during the First International Satellite Cloud Climatology Program (ISCCP) Regional Experiment (FIRE) on 28 November 1991; and 3) to validate the cloud-top height results from the case study analyses through comparison with lidar, radar, aircraft, and rawinsonde data; The measurements available from FIRE Cirrus II enable detailed examination of two complex cloud scenes in which cirrus and stratus appear simultaneously. A ''fuzzy logic'' classification system is developed to determine whether a 32 x 32 array of AVHRR data contains clear sky, low-level cloud, midlevel cloud, high-level cloud, or multiple cloud layers. With the addition of the fuzzy logic cloud classification system, it is possible for the first time to End evidence of more than one cloud layer within each HIRS field of view. Low cloud heights are determined through application of the spatial coherence method to the AVHRR data, while mid- to high-level cloud heights are calculated from the HIRS/2 15-mu m CO2 band radiometric data that are collocated with the AVHRR data. Cirrus cloud heights retrieved from HIRS 15-mu m CO2 band data are improved for optically thin cirrus through the use of the upper-tropospheric humidity profile. The MSMR-derived cloud heights are consistent with coincident lidar, radar, and aircraft data. Cirrus and stratus cloud-top heights and cirrus effective emittances are retrieved for data within an ISCCP 2.5 degrees grid cell that encompasses the FIRE experimental region.
引用
收藏
页码:4210 / 4230
页数:21
相关论文
共 50 条
  • [1] SATELLITE REMOTE-SENSING OF CIRRUS CLOUD PARAMETERS
    HUANG, R
    LU, X
    REMOTE SENSING OF ATMOSPHERE AND OCEANS, 1989, 9 : 45 - 48
  • [2] A Comparison of Cloud Layers from Ground and Satellite Active Remote Sensing at the Southern Great Plains ARM Site
    Jinqiang ZHANG
    Xiang'ao XIA
    Hongbin CHEN
    AdvancesinAtmosphericSciences, 2017, 34 (03) : 347 - 359
  • [3] A Comparison of Cloud Layers from Ground and Satellite Active Remote Sensing at the Southern Great Plains ARM Site
    Zhang, Jinqiang
    Xia, Xiang'ao
    Chen, Hongbin
    ADVANCES IN ATMOSPHERIC SCIENCES, 2017, 34 (03) : 347 - 359
  • [4] A comparison of cloud layers from ground and satellite active remote sensing at the Southern Great Plains ARM site
    Jinqiang Zhang
    Xiang’ao Xia
    Hongbin Chen
    Advances in Atmospheric Sciences, 2017, 34 : 347 - 359
  • [5] Global cloud property analysis rasing satellite remote sensing
    Kawamoto, K
    Nakajima, T
    OPTICAL REMOTE SENSING OF THE ATMOSPHERE AND CLOUDS II, 2001, 4150 : 200 - 207
  • [6] Status and prospect of cloud measurement by satellite active remote sensing
    Kou L.
    Gao H.
    Lin Z.
    Liao S.
    Ding P.
    Zhu W.
    Shang J.
    Hu X.
    National Remote Sensing Bulletin, 2023, 27 (09) : 2041 - 2059
  • [7] Application of satellite remote sensing in volcanic ash cloud monitoring
    Yin, Jing-Yuan
    Shen, Di
    Li, Cheng-Fan
    Yin, J.-Y. (jyyin@staff.shu.edu.cn), 1600, State Seismology Administration (35): : 347 - 362
  • [8] EVALUATION OF PASSIVE SATELLITE REMOTE SENSING OF CLOUD LIQUID WATER
    Horvath, Akos
    Chellappan, Seethala
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 2317 - 2320
  • [9] Global Cloud Biases in Optical Satellite Remote Sensing of Rivers
    Langhorst, Theodore
    Andreadis, Konstantinos M.
    Allen, George H.
    GEOPHYSICAL RESEARCH LETTERS, 2024, 51 (16)
  • [10] Satellite remote sensing of cloud base height for convective cloud fields: A case study
    Meerkoetter, Ralf
    Zinner, Tobias
    GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (17)