Validation of POLDER/ADEOS data using a ground-based lidar network: Preliminary results for cirrus clouds

被引:8
|
作者
Chepfer, H [1 ]
Goloub, P
Sauvage, L
Flamant, PH
Brogniez, G
Spinhirne, J
Lavorato, M
Sugimoto, N
Pelon, J
机构
[1] Ecole Polytech, Inst Pierre Simon Laplace, Meteorol Dynam Lab, F-91128 Palaiseau, France
[2] Univ Lille 1, Opt Atmospher Lab, F-59655 Villeneuve Dascq, France
[3] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[4] CONICET, CEILAP, CITELA, Villa Martelli, Argentina
[5] Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan
关键词
D O I
10.1016/S1464-1909(98)00038-0
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
POLDER-1 on board the Japanese ADEOS platform has collected 8 months of data (October 1996 to June 1997). POLDER is a visible radiometer with multi-directional and polarization capabilities. These features allow to obtain information both on cloud thermodynamical phase and cloud altitude. The POLDER cloud algorithms are currently under validation. For cirrus clouds, a validation based on a comparison between cloud properties inferred from POLDER-1 data and cloud properties retrieved from a ground-based lidar network is currently under consideration. In this paper, preliminary comparisons between cloud altitude inferred from POLDER-1 and lidars are presented. These comparisons show an underestimation of cloud altitude by POLDER-1 for optically thin clouds. A first theoretical analysis based on radiative transfer simulations allows to explain the difference between POLDER and lidar altitudes. Moreover. a preliminary comparison between thermodynamical cloud phase (liquid water / ice) obtained with POLDER-1 and cloud temperature inferred from radiosoundings and cloud altitudes shows that cirrus clouds at temperatures lower than -40 degrees C are correctly identified as ice layers by POLDER-1 (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:203 / 206
页数:4
相关论文
共 50 条
  • [41] Extracting vertical winds from simulated clouds with ground-based coherent Doppler lidar
    Coop. Inst. Res. in Environ. Sci., University of Colorado, Boulder, CO 80309, United States
    Appl. Opt., 36 (8297-8305):
  • [42] Directed Network of Substorms Using SuperMAG Ground-Based Magnetometer Data
    Orr, L.
    Chapman, S. C.
    Gjerloev, J. W.
    GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (12) : 6268 - 6278
  • [43] Using satellite radiometric and ground based lidar measurements for detection of cirrus clouds, containing ensembles of preferred oriented ice particles
    Samokhvalov, I. V.
    Belov, V. V.
    Nasonov, S. V.
    Zhivotenyuk, I. V.
    Gridnev, Yu. V.
    21ST INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS, 2015, 9680
  • [44] Using self-organising maps to explore ozone profile validation results - SCIAMACHY limb compared to ground-based lidar observations
    van Gijsel, J. A. E.
    Zurita-Milla, R.
    Stammes, P.
    Godin-Beekmann, S.
    Leblanc, T.
    Marchand, M.
    McDermid, I. S.
    Stebel, K.
    Steinbrecht, W.
    Swart, D. P. J.
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2015, 8 (05) : 1951 - 1963
  • [45] Estimation of above ground biomass in boreal forest using ground-based Lidar
    Taheriazad, L.
    Moghadas, H.
    Sanchez-Azofeifa, A.
    3RD INTERNATIONAL CONFERENCE ON ADVANCES IN ENVIRONMENT RESEARCH, 2017, 2017, 68
  • [46] Lagrangian simulation of smoke plume from fire and validation using ground-based lidar and aircraft measurements
    Ferrero, Enrico
    Alessandrini, Stefano
    Anderson, Bret
    Tomasi, Elena
    Jimenez, Pedro
    Meech, Scott
    ATMOSPHERIC ENVIRONMENT, 2019, 213 : 659 - 674
  • [47] Investigation of tropical cirrus cloud properties using ground based lidar measurements
    Dhaman, Reji K.
    Satyanarayana, Malladi
    Krishnakumar, V.
    Pillai, V. P. Mahadevan
    Jayeshlal, G. S.
    Raghunath, K.
    Ratnam, M. Venkat
    REMOTE SENSING OF THE ATMOSPHERE, CLOUDS, AND PRECIPITATION VI, 2016, 9876
  • [48] Ground-based lidar measurement of liquid water content and effective droplet diameter in water clouds: instrumentation, retrieval method and results
    Bissonnette, LR
    Roy, G
    Roy, N
    REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE VIII, 2004, 5235 : 537 - 548
  • [49] Validation of a neural network based modis global cloud mask using ground-based instruments
    Berendes, T
    Berendes, D
    Welch, R
    Clothiaux, E
    Dutton, E
    Minnett, P
    Uttal, T
    18TH INTERNATIONAL CONFERENCE ON INTERACTIVE INFORMATION AND PROCESSING SYSTEMS (IIPS) FOR METEOROLOGY, OCEANOGRAPHY, AND HYDROLOGY, 2002, : 16 - 18
  • [50] CLIMATOLOGY OF THIN CIRRUS CLOUDS AT GADANKI (13.50N, 79.20E) USING GROUND BASED LIDAR AND SATELLITE BASED MEASUREMENTS
    Motty, G. S.
    Jayeshlal, G. S.
    Satyanarayana, Malladi
    ISPRS TECHNICAL COMMISSION VIII SYMPOSIUM, 2014, 40-8 : 283 - 286