The possibility of short-time forecasting of snowfall by Mie lidar is discussed. The integrated intensity of backscattered signal, ceiling height, information about wind velocity, and the depolarization ratio can be obtained by lidar observation of snow clouds. It was found that the time variation of the ceiling height is most useful for forecasting the beginning of snowfall. It was found also that the ceiling height began to drop =2 h before the snow fell when the temperature on the ground was less than 0 C. This implies that snowfall can be predicted =2 h in advance.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Short-time forecasting of snowfall by lidar


    Additional title:

    Kurzzeitvorhersage fuer Schneefall mit Lidar


    Contributors:
    Shimizu, H. (author) / Matsui, I. (author) / Sugimoto, N. (author) / Sasano, Y. (author) / Takeuchi, N. (author) / Tanno, N. (author) / Saitoh, N. (author) / Yokoto, K. (author)

    Published in:

    Applied Optics ; 25 , 13 ; 2109-2114


    Publication date :

    1986


    Size :

    6 Seiten, 19 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    A Short-Term, High-Resolution Automated Snowfall Forecasting System

    Neilley, P. P. / Carson, L. P. | British Library Conference Proceedings | 1993


    Understanding LiDAR Performance for Autonomous Vehicles Under Snowfall Conditions

    Sun, Chenghao / Sun, Pengpeng / Wang, Jianqiu et al. | IEEE | 2024


    Object detection in degraded LiDAR signals by synthetic snowfall noise for autonomous driving

    Abu-Shaqra, Albara D. / Abu-Alrub, Nader J. / Rawashdeh, Nathir A. | British Library Conference Proceedings | 2022


    Experience with trolleybuses in recent snowfall

    Baker, A.W. | Engineering Index Backfile | 1940