留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

交叉定标产生的NOAA卫星长期大气温度观测资料

邹成治 高梅

邹成治, 高梅. 交叉定标产生的NOAA卫星长期大气温度观测资料. 应用气象学报, 2008, 19(5): 582-587..
引用本文: 邹成治, 高梅. 交叉定标产生的NOAA卫星长期大气温度观测资料. 应用气象学报, 2008, 19(5): 582-587.
Zou Chengzhi, Gao Mei. A long-term atmospheric temperature dataset derived from NOAA microwave sounding unit with cross-calibration. J Appl Meteor Sci, 2008, 19(5): 582-587.
Citation: Zou Chengzhi, Gao Mei. A long-term atmospheric temperature dataset derived from NOAA microwave sounding unit with cross-calibration. J Appl Meteor Sci, 2008, 19(5): 582-587.

交叉定标产生的NOAA卫星长期大气温度观测资料

A Long-term Atmospheric Temperature Dataset Derived from NOAA Microwave Sounding Unit with Cross-calibration

  • 摘要: 介绍一套用于气候变化研究的NOAA卫星微波观测资料, 资料为全球5 d平均, 2.5°×2.5°经纬网格, 3个深层大气(对流中层、对流层顶以及平流层下层)的温度分布。该文简介了资料产生的方法, 包括交叉定标、角度订正、网格化以及网格误差修正等, 给出了使用这套资料分析得到的1987—2006年间不同大气层的温度变化趋势, 并提供了获取这套资料的方法。
  • 图  1  定标原理

    Fig. 1  Schematic viewing the calibration principle of the Microwave Sounding Unit

    图  2  用NOAA 11和NOAA 12的SNO亮温比较线性定标和非线性SNO定标效果

    (a)线性定标的离散亮温比较,(b)非线性SNO定标的离散亮温比较, (c)对应(a)的两颗卫星亮温差与温度的比较,(d)对应(b)的两颗卫星亮温差与温度的比较(Tl代表线性定标所产生的亮温, Tb代表非线性定标所产生的亮温; N11和N12分别代表NOAA 11和NOAA 12)

    Fig. 2  Demonstration of the SNO non-linear calibration effect with scatter plots of the SNO brightness temperatures between NOAA-11 and NOAA-12

    (a)Tl scatter plot between NOAA-11 and NOAA-12 with linear calibration,(b)Tb scatter plot between NOAA-11 and NOAA-12 with SNO non-linear calibration,(c)Tl differences between NOAA-12 and NOAA-11 versus NOAA-11 Tl,(d)Tb differences between NOAA-12 and NOAA-11 versus NOAA-11 Tb (Tl represents brightness temperature obtained from linear calibration and Tb is the brightness temperature obtained from the SNO nonlinear calibration; N11 and N12 represent NOAA-11 and NOAA-12, respectively)

    图  3  不同卫星之间的亮温差时间序列

    Fig. 3  Brightness temperature difference time series of 5-day and global ocean averages between different satellites

    图  4  合成后的20年海洋平均亮温异常时间序列

    Fig. 4  20-year anomaly time series of the composite brightness temperatures

  • [1] Spencer R W, Christy J R. Precision and radiosonde validation of satellite gridpoint temperature anomalies. Part Ⅰ: MSU channel 2. J Climate, 1992, 5: 847-857. doi:  10.1175/1520-0442(1992)005<0847:PARVOS>2.0.CO;2
    [2] Spencer R W, Christy J R. Precision and radiosonde validation of satellite gridpoint temperature anomalies. Part Ⅱ : Tropospheric retrieval and trends during 1979--90. J Climate, 1992, 5: 858-866. doi:  10.1175/1520-0442(1992)005<0858:PARVOS>2.0.CO;2
    [3] Christy J R, Spencer R W, Lobel E S. Analysis of the merging procedure for the MSU daily temperature time series. J Climate, 1998, 11: 2016-2041. doi:  10.1175/1520-0442-11.8.2016
    [4] Christy J R, Spencer R W, Braswell W D. MSU tropospheric temperatures: Dataset construction and radiosonde comparisons. J Atmos Oceanic Technol, 2000, 17: 1153-1170. doi:  10.1175/1520-0426(2000)017<1153:MTTDCA>2.0.CO;2
    [5] Christy J R, Spencer R W, Norris W B, et al. Error estimates of version 5.0 of MSU-AMSU bulk atmospheric temperature. J Atmos Oceanic Technol, 2003, 20: 613-629. doi:  10.1175/1520-0426(2003)20<613:EEOVOM>2.0.CO;2
    [6] Meats C A, Schabel M C, Wentz F J. A reanalysis of the MSU Channel 2 tropospheric temperature record. J Climate, 2003, 16: 3650-3664. doi:  10.1175/1520-0442(2003)016<3650:AROTMC>2.0.CO;2
    [7] Vinnikov K Y, Grody N C. Global warming trend of mean tropospheric temperature observed by satellites. Science, 2003, 302 : 269-272. doi:  10.1126/science.1087910
    [8] Grody N C, Vinnikov K Y, Goldberg M D, et al. multi, satellites observations for climate studies Calibration of Sounding Unit(MSU). J Geophys Res, 2004, 109 : D24104, doi:  10.1029/2004JD005079.
    [9] Fu Q, Johanson C M, Warren S G, et al. Contribution of stratospheric coofing to satellite-inferred tropospheric trends. Nature, 2004, 429: 55-58. doi:  10.1038/nature02524
    [10] Mears C A, Wentz F J. The effect of diurnal correction on the satellite-derived lower tropospheric temperature. Science, 2005, 309: 1548-1551. doi:  10.1126/science.1114772
    [11] Cao C, Weinreb M, Xu H. Predicting simultaneous nadir overpasses among polar-obiting meteorological satellites for the intersatellite calibration of radiometers. J Atmos Oceanic Technol, 2004, 21: 537-542. doi:  10.1175/1520-0426(2004)021<0537:PSNOAP>2.0.CO;2
    [12] Zou C Z, Goldberg M, Cheng Z, et al. Recalibration of microwave sounding unit for climate studies using simultaneous nadir overpasses. J Geophys Res, 2006, 111: D19114, doi: 10. 1029/2005JD006798, issn: 0148-0227.
    [13] Goldberg M D, Crosby D S, Zhou L. The limb adjustment of AMSU-A observations: Methodology and validation. J Appl Meteor, 2001, 40: 70-83. doi:  10.1175/1520-0450(2001)040<0070:TLAOAA>2.0.CO;2
    [14] Zou C Z, Gao M. A 20-year MSU Dataset for Atmospheric Temperature Change Studies. Atmospheric and Environmental Remote Sensing Data Processing and Utilization Ⅲ: Readiness for GEOSS Proc SHE, 2007, 6684: 668403, doi: 10.1117/ 12. 734113.
  • 加载中
图(4)
计量
  • 摘要浏览量:  4151
  • HTML全文浏览量:  683
  • PDF下载量:  1361
  • 被引次数: 0
出版历程
  • 收稿日期:  2008-05-04
  • 修回日期:  2008-07-30
  • 刊出日期:  2008-10-31

目录

    /

    返回文章
    返回