Zhang Xiaohu, Zhang Qisong, Xu Jianmin. Use of representative pixels of motion for wind vector height assignment of semi-transparent clouds. J Appl Meteor Sci, 2017, 28(3): 270-282. DOI: 10.11898/1001-7313.20170302.
Citation: Zhang Xiaohu, Zhang Qisong, Xu Jianmin. Use of representative pixels of motion for wind vector height assignment of semi-transparent clouds. J Appl Meteor Sci, 2017, 28(3): 270-282. DOI: 10.11898/1001-7313.20170302.

Use of Representative Pixels of Motion for Wind Vector Height Assignment of Semi-transparent Clouds

More Information
  • Height assignment of semi-transparent clouds needs two variables:Radiation from semitransparent clouds themselves and radiation from the background underneath semitransparent clouds. Generally, the former radiation is calculated using algorithms based on all pixels in tracer boxes. A new algorithm, however, is proposed considering only pixels with great contribution to correlation coefficients during wind vector tracing stage, and only allow these pixels to join the calculation. Scatter diagrams are made with infrared brightness temperature against their contribution to the feature tracking correlation coefficients. Scatter diagrams show a "C" shape pattern and can be used to recognize representative pixels of motion. Pixels with relative less contribution to correlation coefficients are at the left side of the "C" shape with infrared brightness temperature in the middle range. The other pixels with relative more contributions are naturally separated into two branches with warmer and colder infrared brightness temperature respectively. When tracer boxes are partly covered by clouds, the warm branch pixel brightness temperature is with typical ground feature at both the scope and the variability. And when tracer boxes are totally covered by clouds, warm branch pixels are in the slot of clouds with typical cloud features among cloud cells. Thus, no matter tracer boxes are partly covered or totally covered by clouds, cold branch pixels with greater contribution to correlation coefficients are better at representing the cloud motion and can be named as pixels with contribution to the motion. The algorithm using different pixel's contribution to the feature tracking improves height assignment quality by effectively removing rapid changing pixels in tracer boxes when estimating the cloud height. Using representative pixels of motion at the estimation of radiation from semi-transparent clouds themselves, FY-2 wind vector height assignment quality is improved.
  • Fig  1.   Schematic diagram of the algorithm of semi-transparent cloud height estimation

    Fig  2.   Typical examples for the tracer partly covered by clouds (a) tracer box located at 30.94°N, 120.44°E, (b) tracer box located at 15.86°N, 118.81°E, (c) tracer box located at 33.41°N, 123.83°E

    Fig  3.   Typical examples for the tracer totally covered by cloud (a) tracer box located at 34.56°N, 112.82°E, (b) tracer box located at 6.27°N, 139.42°E, (c) tracer box located at 5.33°N, 93.30°E, (d) tracer box located at 2.42°N, 90.35°E, (e) tracer box located at 29.27°S, 97.89°E

    Fig  4.   Diagram of pixel number ratio and pixel mean contribution ratio between warm and cold segments

    Fig  5.   Histogram of total contribution ratio between warm and cold segments

    Fig  6.   Histogram of pixel number ratio between warm and cold segments

    (a) total contribution ratio between warm and cold segments less than 0.3, (b) total contribution ratio between warm and cold segments in 0.8-1.2, (c) total contribution ratio between warm and cold segments greater than 2

    Fig  7.   Histogram of IR maximum temperature in tracer boxes

    (a) total contribution ratio between warm and cold segments less than 0.3, (b) total contribution ratio between warm and cold segments in 0.8-1.2, (c) total contribution ratio between warm and cold segments greater than 2

    Table  1   Bias and standard deviations between FY-2E wind vectors and ECMWF analyses for height assignment algorithms whether using contribution to the motion

    统计量 未使用代表运动像元 使用代表运动像元
    偏差/(m·s-1) -4.239 -2.103
    标准差/(m·s-1) 7.787 7.436
    风矢量数 13895 13536
    DownLoad: CSV
  • Xu Jianmin, Zhang Qisong.Calculation of Cloud Motion Wind with GMS-5 Images in China//Proceedings of the Third International Winds Workshop, EUMETSAT Publication.EUM P18, 1996:45-52.
    Xu Jianmin, Zhang Qisong, Fang Xiang, et al.Cloud Motion Winds from FY-2 and GMS-5 Meteorological Satellites//Proceedings of the 4th International Winds Workshop, EUMETSAT Publication.EUM P24, 1998:41-48. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.475.9694&rep=rep1&type=pdf
    Xu Jianmin, Zhang Qisong.Recent Works Aimed at Operational FY-2C AMVS//Proceedings of the 7th International Winds, 2004.
    Xu Jianmin, Zhang Qisong, Zhang Xiaohu, et al.Status of operational AMVs from FY-2C//Proceedings of the 8th International Winds Workshop, 2006.
    Zhang Xiaohu, Xu Jianmin.Two Applications of Improvements for AMVs of NSMC/CMA-Re-navigation Based on Full Earth Disk Image & Calibration of Radiation Transfer Using NWP Data. The 10th International Winds Workshop, 2010.
    许健民, 张其松, 王大昌.云迹风计算中的两个几何问题.应用气象学报, 1997, 8(1):11-18. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19970102&flag=1
    许健民, 张其松.卫星风推导和应用综述.应用气象学报, 2006, 17(5):574-582. DOI: 10.11898/1001-7313.20060515
    薛谌彬, 龚建东, 薛纪善, 等.FY-2E卫星云导风定高误差及在同化中的应用.应用气象学报, 2011, 22(6):681-690. DOI: 10.11898/1001-7313.20110605
    王金成, 陆慧娟, 韩威, 等.GRAPES全球三维变分同化业务系统性能.应用气象学报, 2017, 28(1):11-24. DOI: 10.11898/1001-7313.20170102
    黄丽萍, 陈德辉, 邓莲堂, 等.GRAPES_Meso V4.0主要技术改进和预报效果检验.应用气象学报, 2017, 28(1):15-37. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20170103&flag=1
    朱立娟, 龚建东, 黄丽萍, 等.GRAPES三维云初始场形成及在短临预报中的应用.应用气象学报, 2017, 28(1):38-51. DOI: 10.11898/1001-7313.20170104
    Menzel W P, Smith W L, Stewart T.Improved cloud motion wind vector and altitude assignment using VAS.J Climate Appl Meteor, 1983, 22:377-384. DOI: 10.1175/1520-0450(1983)022<0377:ICMWVA>2.0.CO;2
    Nieman N J, Schmetz J, Menzel W P.A comparison of several techniques to assign heights to cloud tracers.J Appl Meteor, 1993, 32:1559-1568. DOI: 10.1175/1520-0450(1993)032<1559:ACOSTT>2.0.CO;2
    许健民, 张其松, 方翔.用红外和水汽两个通道的卫星测值指定云迹风的高度.气象学报, 1997, 55(4):408-417. DOI: 10.11676/qxxb1997.041
    Szejwach G.Determination of semitransparent cirrus cloud temperature from infrared radiances:Application to Meteosat.J Appl Meteor, 1982, 21(3):384-393. DOI: 10.1175/1520-0450(1982)021<0384:DOSTCC>2.0.CO;2
    Menzel W P.Cloud tracking with satellite imagery:From the pioneering work of Ted Fujita to the present.Bull Amer Meteor Soc, 2001, 82:33-47. DOI: 10.1175/1520-0477(2001)082<0033:CTWSIF>2.3.CO;2
    Velden C.Recent innovations in deriving tropospheric winds from meteorological satellites.Bull Amer Meteor Soc, 2005, 86:205-223. DOI: 10.1175/BAMS-86-2-205
    Xu J, Holmlund K, Zhang Q, et al.Comparison of two schemes for derivation of atmospheric motion vectors.J Geophys Res, 2002, 107(D14):ACL 4-1-ACL 4-15.
    Büche G.Water vapor structure displacements from cloud-free Meteosat scenes and their interpretation for the wind field.J Appl Meteor, 2006, 45:556-575. DOI: 10.1175/JAM2343.1
    Borde R.A Direct Link Between Feature Tracking and Height Assignment of Operational Atmospheric Motion Vectors.Proc the Ninth Int Winds Workshop, 2008.
    Oyama R, Borde R, Schmetz J, et al.Development of Height Assignment Directly Linked to Feature Tracking at JMA//Proceedings of 9IWW, 2008.
    张晓虎, 张其松, 许健民.半透明云风矢量高度算法中云下背景辐射的估计.应用气象学报, 2017, 28(3):283-291. DOI: 10.11898/1001-7313.20170303
  • Related Articles

    [1]Zhang Yunkai, Xu Na, Zhai Xiaochun, Zhang Peng. A Method to Estimate Sea Surface Wind Vectors Using Geostationary Satellites[J]. Journal of Applied Meteorological Science, 2024, 35(2): 225-236. DOI: 10.11898/1001-7313.20240208
    [2]Zhang Xiaohu, Zhang Qisong, Xu Jianmin. Estimation of Background Radiation Underneath Clouds for Wind Vector Height Assignment of Semi-transparent Clouds[J]. Journal of Applied Meteorological Science, 2017, 28(3): 283-291. DOI: 10.11898/1001-7313.20170303
    [3]Wang Yuanyuan, Min Wenbin. MODIS/LST Product Validation for Mixed Pixels at Linzhi of Tibet[J]. Journal of Applied Meteorological Science, 2014, 25(6): 722-730.
    [4]Wang Jiali, Zhang Renhe, Wang Yingchun. Characteristics of Precipitation in Beijing and the Precipitation Representativeness of Beijing Weather Observatory[J]. Journal of Applied Meteorological Science, 2012, 23(3): 265-273.
    [5]Xue Chenbin, Gong Jiandong, Xue Jishan, Tao Shiwei, Zhang Hua. Height Assignment Error of FY-2E Atmospheric Motion Vectors and Its Application to Data Assimilation[J]. Journal of Applied Meteorological Science, 2011, 22(6): 681-690.
    [6]Wang Yuanyuan, Li Guicai, Zhang Yan. Regional Representativeness Analysis of National Reference Climatological Stations Based on MODIS/LST Product[J]. Journal of Applied Meteorological Science, 2011, 22(2): 214-220.
    [7]Yuan Ye, Yang Guang, Hu Wen, Zeng Guangping. The Upright Motion Structure in Convection Cloud by Dual-Doppler Radar[J]. Journal of Applied Meteorological Science, 2007, 18(3): 306-313.
    [8]Xu Jianmin, Zhang Qisong. Status Review on Atmospheric Motion Vectors-derivation and Application[J]. Journal of Applied Meteorological Science, 2006, 17(5): 574-582.
    [9]Xu Jianmin, Zhang Qisong, Wang Dachang, Fan Changyao. Two Geometrical Problems in Cloud Motion Wind Algorithm[J]. Journal of Applied Meteorological Science, 1997, 8(1): 11-18.
    [10]Fei Liang Li Xiaofan, . The Influence of Structure of Upper-tropospheric Cold Vortex on Typhoon Motion[J]. Journal of Applied Meteorological Science, 1993, 4(1): 1-7.
  • Cited by

    Periodical cited type(5)

    1. 周润东,夏攀,张晓虎,徐娜,闵敏. 气象卫星大气导风研究进展和未来展望. 地球与行星物理论评(中英文). 2024(02): 184-194 .
    2. 许健民,陆风,杨磊,张晓虎,曹赟,张其松,商建. 风云静止气象卫星的图像导航和大气运动矢量(特邀). 光学学报. 2024(18): 9-23 .
    3. 许健民. 风云二号气象卫星图像定位和卫星风精度的改善中解决问题的途径. 南京信息工程大学学报(自然科学版). 2020(01): 1-6 .
    4. 秦运龙,张冰松,杨代才,王迎迎. 基于运动估计与补偿的雷达拼图预测分析. 计算机与数字工程. 2020(03): 678-681 .
    5. 张晓虎,张其松,许健民. 半透明云风矢量高度算法中云下背景辐射的估计. 应用气象学报. 2017(03): 283-291 . 本站查看

    Other cited types(1)

Catalog

    Figures(7)  /  Tables(1)

    Article views2820 PDF downloads472 Cited by: 6
    • Received : 2016-12-12
    • Accepted : 2017-04-09
    • Published : 2017-05-30

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return