Vol.34, NO.1, 2023
Turn off MathJax
Article Contents
Article Navigation >  Journal of Applied Meteorological Science  > 2023  >  34(1): 52-64
Zhou Xuesong, Guo Qiyun, Xia Yuancai, et al. Inspection of FY-3D satellite temperature data based on horizontal drift round-trip sounding data. J Appl Meteor Sci, 2023, 34(1): 52-64. DOI:  10.11898/1001-7313.20230105.
Citation: Zhou Xuesong, Guo Qiyun, Xia Yuancai, et al. Inspection of FY-3D satellite temperature data based on horizontal drift round-trip sounding data. J Appl Meteor Sci, 2023, 34(1): 52-64. DOI:  10.11898/1001-7313.20230105.
shu

Inspection of FY-3D Satellite Temperature Data Based on Horizontal Drift Round-trip Sounding Data

DOI: 10.11898/1001-7313.20230105
  • 1.

    Hohhot Meteorological Bureau of Inner Mongolia, Hohhot 010020

  • 2.

    Meteorological Observation Center, China Meteorological Administration, Beijing 100081

  • Received Date: 2022-08-28
  • Rev Recd Date: 2022-10-25
  • Publish Date: 2023-01-31
    Abstract
  • The horizontal drift round-trip sounding observation is a new sounding technology developed by China Meteorological Administration. By releasing one sounding balloon with this technology, three sections of observations can be obtained, including two sections of vertical tropospheric sounding(ascending and descending) with an interval of about 6 hours and a 4-hour horizontal sounding within the stratosphere. This technology effectively makes up for the insufficiency of conventional soundings, improving the time and space resolution of radiosonde data at a lower cost. The detection system adopts Beidou radiosonde, which significantly improves the accuracy of sounding and wind measurements. In addition, the drift section of horizontal drift round-trip sounding observation fills the gap of the stratospheric temperature detection technology in China. Therefore, horizontal drift round-trip sounding data can be used to verify the temperature profile and stratosphere temperature data of meteorological satellite.Fengyun series meteorological satellites are widely used in China, supporting the meteorological forecast in the Eastern Hemisphere. Among Fengyun satellites in use, FY-3D has the longest years of service. To test the accuracy of FY-3D satellite temperature products, an algorithm is designed according to the characteristics of the horizontal drift round-trip sounding data and satellite data, and the temporal and spatial thresholds are calculated. Based on this algorithm, FY-3D satellite retrieved atmospheric temperature data are verified using the horizontal drift round-trip sounding data in the middle and lower reaches of the Yangtze from March to September in 2021. It can be concluded from the inspection results that the temperature data of FY-3D satellite has a high accuracy, with an average absolute deviation of about 1.34℃ from the data of ascending section and 1.9℃ from the data of descending section. Above 100 hPa and below 850 hPa, the temperature errors of satellite data are 0.59℃ and 0.33℃ larger, respectively. The average absolute deviation of the stratosphere is about 3.92℃, which is slightly larger than the ascending section and descending section. Compared with the sounding profile, the satellite temperature profile has lower vertical resolution and smoother trend, so it cannot show more details of atmospheric vertical variation.
    • FullText(HTML)
    References(33)

  • Fig. 1  Ascending section of Nanchang Station at 0730 BT 11 Apr 2021

    (a)temperature profiles from satellite and original sounding, (b)temperature profiles from satellite and sparse sounding, (c)temperature error varying with air pressure, (d)error distribution of temperature profile(red curve denotes fitting curve)

    DownLoad: Full-Size Img PowerPoint

    Fig. 2  Ascending section of Ganzhou Station at 1930 BT 5 Apr 2021

    (a)temperature profiles from satellite and original sounding, (b)temperature profiles from satellite and sparse sounding, (c)temperature error varying with air pressure, (d)error distribution of temperature profile(red curve denotes fitting curve)

    DownLoad: Full-Size Img PowerPoint

    Fig. 3  The horizontal drift section of Changsha Station at 1930 BT 11 June 2021

    (a)satellite and original sounding temperature profile, (b)satellite and sparse sounding temperature profile, (c)curve of temperature error changing with time, (d)error distribution of temperature profile(red curve denotes fitting curve)

    DownLoad: Full-Size Img PowerPoint

    Fig. 4  Descending section of Wuhan Station at 1330 BT 25 Jun 2021

    (a)temperature profiles from satellite and original sounding, (b)temperature profiles from satellite and sparse sounding, (c)temperature error varying with air pressure, (d)error distribution of temperature profile(red curve denotes fitting curve)

    DownLoad: Full-Size Img PowerPoint

    Fig. 5  Descending section of Yichang Station at 0130 BT 9 Apr 2021

    (a)temperature profiles from satellite and original sounding, (b)temperature profiles from satellite and sparse sounding, (c)temperature error varying with air pressure, (d)error distribution of temperature profile(red curve denotes fitting curve)

    DownLoad: Full-Size Img PowerPoint

    Table  1  Inspection and evaluation of satellite data

    平漂探空数据段 匹配次数 平均绝对偏差/℃ 均方根误差/℃ 相关系数
    上升段 367 1.34 1.95 0.99
    平漂段 249 3.92 4.10 0.04
    下降段 769 1.93 2.46 0.99
    DownLoad: Download CSV

    Table  2  Inspection and evaluation of satellite data at ascending section

    探空站 07:30 19:30
    平均绝对偏差/℃ 均方根误差/℃ 平均绝对偏差/℃ 均方根误差/℃
    武汉 1.32 1.74 1.18 1.58
    南昌 1.32 1.99 1.12 1.88
    宜昌 1.22 1.60 1.30 1.66
    安庆 1.51 1.86 1.46 2.11
    赣州 1.12 1.48 1.38 2.95
    长沙 2.15 2.95 1.06 1.34
    DownLoad: Download CSV

    Table  3  Inspection and evaluation of satellite data at horizontal drift section

    探空站 平均绝对偏差/℃ 均方根误差/℃
    武汉 3.33 3.56
    南昌 3.03 3.20
    宜昌 3.24 3.41
    安庆 4.42 4.60
    赣州 3.56 3.72
    长沙 5.97 6.09
    DownLoad: Download CSV

    Table  4  Inspection and evaluation of satellite data at descending section

    探空站 13:30 01:30
    平均绝对偏差/℃ 均方根误差/℃ 平均绝对偏差/℃ 均方根误差/℃
    武汉 3.67 4.43 2.16 2.73
    南昌 1.33 1.79 3.32 4.30
    宜昌 1.67 2.06 1.04 1.38
    安庆 1.54 2.00 1.41 2.16
    赣州 1.60 2.09 1.03 1.30
    长沙 3.26 3.79 1.13 1.51
    DownLoad: Download CSV

    Table  5  Test of satellite data at different altitudes

    高度 平均绝对偏差/℃ 均方根误差/℃
    地面至850 hPa* 1.68 1.93
    850 hPa至100 hPa** 1.16 1.62
    100 hPa至10 hPa 1.75 2.21
    注：*表示含850 hPa, **表示含100 hPa。
    DownLoad: Download CSV

    Table  6  Influence of statistical cloud on satellite inversion temperature

    探空数据段 云状态 探空湿度廓线云判识算法 FY-3D成像仪云数据
    平均绝对偏差/℃ 均方根误差/℃ 平均绝对偏差/℃ 均方根误差/℃
    上升段 有云 1.60 3.01 1.63 2.92
    无云 1.28 1.70 1.32 1.91
    下降段 有云 2.08 2.59 1.74 2.22
    无云 1.73 2.31 1.28 1.71
    DownLoad: Download CSV
  • [1]
    Cheng K Q, Guo Q Y, Ma X L, et al. Research of quality control method of GNSS occultation observation inversion temperature. J Electr Measur Instr, 2020, 34(7): 177-186. https://www.cnki.com.cn/Article/CJFDTOTAL-DZIY202007023.htm
    [2]
    Yan R, Wang L W, Hu Z, et al. Quantitative verification on satellite observational data of ionospheric structure parameters using ground-based data. Acta Seismologica Sinica, 2017, 39(4): 549-557. https://www.cnki.com.cn/Article/CJFDTOTAL-DZXB201704009.htm
    [3]
    Guo Q Y, Yang R K, Cheng K Q, et al. Refractive index quality control and comparative analysis of multi-source occultation based on sounding observation. J Appl Meteor Sci, 2020, 31(1): 13-26. doi:  10.11898/1001-7313.20200102
    [4]
    Zhang X P, Guo Q Y, Yang R K, et al. Assimilation experiment of rainstorm in the middle and lower reaches of the Yangtze River based on "up-drift-down" sounding data. Meteor Mon, 2021, 47(12): 1512-1524. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX202112007.htm
    [5]
    Yang G B, Guo Q Y, Shu K N, et al. Quality analysis of the radiosonde wind observation data based on the list control method. Meteor Mon, 2021, 47(6): 727-736. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX202106008.htm
    [6]
    Yao W, Ma Y, Gao L N. Comparison of relative humidity data between L-band and 59-701 sounding system. J Appl Meteor Sci, 2017, 28(2): 218-226. doi:  10.11898/1001-7313.20170209
    [7]
    Lei Y, Guo Q Y, Qian Y, et al. Evaluation and quality mark of radiosonde geopotential height of L-band radar. J Appl Meteor Sci, 2018, 29(6): 710-723. doi:  10.11898/1001-7313.20180607
    [8]
    Guo Q Y, Yang R K, Qian Y, et al. Full-range sounding comparison analysis of balloon borne radiosonde rising and parachute carrying radiosonde descending. Meteor Mon, 2018, 44(8): 1094-1103. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201808011.htm
    [9]
    Zhu Y J, Li W B, Chen Y. Study of total precipitable water by GMS-5. J Appl Meteor Sci, 1998, 9(1): 8-14. http://qikan.camscma.cn/article/id/19980102
    [10]
    Du M B, Yang Y M, Ding J C. Evaluation for retrieving precision and some merits of COSMIC data. J Appl Meteor Sci, 2009, 20(5): 586-593. http://qikan.camscma.cn/article/id/20090510
    [11]
    Lin X M, Wei Y H, Zhang N, et al. Construction of air-sounding-profile system based on foundation-remote-sensing equipment. J Appl Meteor Sci, 2022, 33(5): 568-580. doi:  10.11898/1001-7313.20220505
    [12]
    Han F, Yang L, Zhou C X, et al. An experimental study of the short-time heavy rainfall event forecast based on ensemble learning and sounding data. J Appl Meteor Sci, 2021, 32(2): 188-199. doi:  10.11898/1001-7313.20210205
    [13]
    Liu N, Xiong A Y, Zhang Q, et al. Development of basic dataset of severe convective weather for artificial intelligence training. J Appl Meteor Sci, 2021, 32(5): 530-541. doi:  10.11898/1001-7313.20210502
    [14]
    Cao X Z, Guo Q Y, Yang R K. Research of rising and falling twice sounding based on long-time interval of flat-floating. Chinese J Sci Instr, 2019, 40(2): 198-204. https://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201902023.htm
    [15]
    Yang C Y, Guo Q Y, Cao X Z, et al. Analysis of gravity wave characteristics in the lower stratosphere based on new round-trip radiosonde. Acta Meteor Sinica, 2021, 79(1): 150-167. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXB202101011.htm
    [16]
    Wang J C, Wang D, Yang R K, et al. A return radiosonde trajectory forecast method and its preliminary evaluation based on high resolution numerical weather prediction model. Chinese J Atmos Sci, 2021, 45(3): 651-663. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXK202103013.htm
    [17]
    Wang D, Wang J C, Tian W H, et al. Quality control and uncertainty analysis of return radiosonde data. Chinese J Atmos Sci, 2020, 44(4): 865-884. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXK202004013.htm
    [18]
    Liang Z H, Wang D H, Liang Z M. Spatio-temporal characteristics of boundary layer height derived from soundings. J Appl Meteor Sci, 2020, 31(4): 447-459. doi:  10.11898/1001-7313.20200407
    [19]
    Wang Y, Xiong A Y. Effects of radiosonde system changing to L-band radar digital radiosonde on humidity measurements in China. J Appl Meteor Sci, 2015, 26(1): 76-86. doi:  10.11898/1001-7313.20150108
    [20]
    Qian Y, Ma X L, Guo Q Y, et al. Error analysis of sounding temperature data based on the FNL and GRAPES analysis fields. Meteor Mon, 2019, 45(10): 1464-1475. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201910013.htm
    [21]
    Guo Q Y, Qian Y, Yang R K, et al. Study on the quality control method of wind measurement of L-band sounding radar. Trans Atmos Sci, 2020, 43(5): 845-855.
    [22]
    Zhu A J, Hu X Q, Lin M Y, et al. Global data acquisition methods and data distribution for FY-3D meteorological satellite. J Marine Meteor, 2018, 38(3): 1-10. https://www.cnki.com.cn/Article/CJFDTOTAL-SDQX201803001.htm
    [23]
    Duan Y Q, Wang Z Z, Zhang S W. Modeling and simulating of microwave humidity and temperature sounder onboard the FY-3(D) satellite. J Electr Infor Tech, 2020, 42(6): 1549-1556. https://www.cnki.com.cn/Article/CJFDTOTAL-DZYX202006030.htm
    [24]
    Gu S Y, Guo Y, Wang Z Z, et al. Calibration analyses for sounding channels of MWHS onboard FY-3A. Adv Meteor Sci Tech, 2013, 3(4): 43-49. https://www.cnki.com.cn/Article/CJFDTOTAL-QXKZ201304011.htm
    [25]
    Wang Y T, Liu L M. Characteristics of HDF5 format and their reference value to the standardization of remote sensing data. Remote Sensing for Land & Resources, 2005(3): 39-43. https://www.cnki.com.cn/Article/CJFDTOTAL-GTYG200503009.htm
    [26]
    Zhang M X, Li G C. The Study and implementation of extraction MERSI image data based on the file format of HDF. Modern Agricultural Sciences, 2009, 16(3): 189-191;222. https://www.cnki.com.cn/Article/CJFDTOTAL-NCSY200903079.htm
    [27]
    Huang Y W, Liu Q, He M, et al. Research on inversion precision of temperature profile of GⅡRS/FY-4A satellite in Shanghai typhoon season based on radiosonde data. Infrared, 2019, 40(9): 28-38.
    [28]
    Cheng K Q, Guo Q Y, Yang R K, et al. Assessment and quality control of GPS occultation pressure. Trans Atmos Sci, 2021, 44(4): 529-539. https://www.cnki.com.cn/Article/CJFDTOTAL-NJQX202104005.htm
    [29]
    Qian Y F, Shi D P. Numerical prediction experiment of vertical interpolation method for height field. J Meteor Sci, 1990, 10(3): 215-225. https://www.cnki.com.cn/Article/CJFDTOTAL-QXKX199003001.htm
    [30]
    Bengtsson L. Problems of Using Satellite Information in Numerieal Weather Predietion//Proc of a Technical Conference. ESA, 1979(SP-143): 87-100.
    [31]
    Ren Q, Dong P M, Xue J S. The use of microwave satellite data affected by cloud in numerical forecast of typhoon. J Appl Meteor Sci, 2009, 20(2): 137-146. http://qikan.camscma.cn/article/id/20090202
    [32]
    Zhou Y Q, Ou J J. The method of cloud vertical structure analysis using rawinsonde observation and its applied research. Meteor Mon, 2010, 36(11): 50-58. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201011011.htm
    [33]
    Liu J, Wang X J. Assessment on main kinds of satellite cloud climate datasets. J Appl Meteor Sci, 2017, 28(6): 654-665. doi:  10.11898/1001-7313.20170602
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中
  • -->

Catalog

    Figures(5)  / Tables(6)

    Get Citation
    PDF
    XML
    Article views (1075) PDF downloads(86) Cited by()
    • Received : 2022-08-28
    • Accepted : 2022-10-25
    • Published : 2023-01-31
    Journal Online
    Contact

    © 2020 Journal of Applied Meteorological Science   京ICP备15006967号-1

    Supported by Beijing Renhe Information Technology Co. Ltd

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return