Comparison of upper tropospheric humidity retrievals from TOVS and Meteosat

被引:9
|
作者
Escoffier, C
Bates, JJ
Chédin, A
Rossow, WB
Schmetz, J
机构
[1] Columbia Univ, Goddard Inst Space Studies, New York, NY 10025 USA
[2] NOAA, ERL, Environm Technol Lab, Boulder, CO 80303 USA
[3] Ecole Polytech, Meteorol Dynam Lab, F-91128 Palaiseau, France
[4] NASA, Goddard Inst Space Studies, New York, NY 10025 USA
[5] European Org Exploitat Meteorol Satellites, D-64295 Darmstadt, Germany
来源
关键词
D O I
10.1029/2000JD900553
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Two different methods for retrieving upper tropospheric humidity (UTH) from the TIROS Operational Vertical Sounder (TOVS) instruments aboard NOAA polar orbiting satellites are presented and compared. The first one, from the Environmental Technology Laboratory, computed by J. J. Bates and D. L. Jackson, estimates UTH from a simplified radiative transfer analysis of the upper tropospheric infrared water vapor channel at 6.7 mum wavelength measured by High-resolution Infrared Radiation Sounder (HIRS). The second one results from a neural network analysis of the TOVS (HIRS and Microwave Sounding Unit (MSU)) data developed at the Laboratoire de Meteorologie Dynamique. Although the two methods give very similar retrievals in temperate regions (30 degrees -60 degreesN and S), the latter is larger by up to 16% in the tropics. The two data sets have also been compared with the UTH retrievals from infrared radiance measurements at 6.3 mum wavelength from the geostationary satellite Meteosat. These products are taken from the archive without any reprocessing that would take care of known biases. Since the Meteosat UTH in 1989 was confined to clear-sky areas, it has a dry bias. The differences observed among the three data sets can be explained. UTH computation is sensitive to assumed air temperature and humidity profiles. Despite the biases the spatial and temporal correlations are very good. Overall, the comparison of the two TOVS retrievals provides an assessment of the UTH uncertainties, about 15-25% (relative). With regard to the Meteosat UTH it is concluded that the archived product performs well in depicting spatial and temporal changes. For future quantitative analyses, a reprocessing of the Meteosat UTH is suggested.
引用
收藏
页码:5227 / 5238
页数:12
相关论文
共 50 条
  • [41] A new climate data record of upper-tropospheric humidity from microwave observations
    Lang, Theresa
    Buehler, Stefan A.
    Burgdorf, Martin
    Hans, Imke
    John, Viju O.
    SCIENTIFIC DATA, 2020, 7 (01)
  • [42] Wind fields and upper tropospheric humidity from satellite images in the 6.3 μm band
    Schmetz, J.
    van de Berg, L.
    Geijo, C.
    Holmlund, K.
    Advances in Space Research, 16 (10):
  • [43] The impact of upper tropospheric humidity from Microwave Limb Sounder on the midlatitude greenhouse effect
    Hu, H
    Liu, WT
    GEOPHYSICAL RESEARCH LETTERS, 1998, 25 (16) : 3151 - 3154
  • [44] The impact of upper tropospheric humidity from Microwave Limb Sounder on the midlatitude greenhouse effect
    Hu, Hua
    Liu, W. Timothy
    1998, American Geophysical Union (25)
  • [45] Quantifying the Uncertainty of Land Surface Temperature Retrievals From SEVIRI/Meteosat
    Freitas, Sandra C.
    Trigo, Isabel F.
    Bioucas-Dias, Jose M.
    Goettsche, Frank-M
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (01): : 523 - 534
  • [46] The impact of upper tropospheric humidity from Microwave Limb Sounder on the midlatitude greenhouse effect
    Hu, Hua
    Liu, W. Timothy
    Geophysical Research Letters, 1998, 25 (16): : 3151 - 3154
  • [47] Evaluation of upper tropospheric humidity forecasts from ECMWF using AIRS and CALIPSO data
    Lamquin, N.
    Gierens, K.
    Stubenrauch, C. J.
    Chatterjee, R.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2009, 9 (05) : 1779 - 1793
  • [48] Cloud parameter retrievals from Meteosat and their effects on the shortwave radiation at the surface
    Salgueiro, Vanda
    Costa, Maria Joao
    Silva, Ana Maria
    Lanconelli, Christian
    Bortoli, Daniele
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (04) : 1137 - 1161
  • [49] Influence of monsoon extreme rainfall on the distribution of upper tropospheric humidity
    Devika, M. V.
    Kottayil, Ajil
    Koovekkallu, Prajwal
    Xavier, Prince
    John, Viju
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2023, 43 (16) : 7633 - 7645
  • [50] Asymmetry and non-linearity in upper tropospheric humidity variability
    Kennett, EJ
    Toumi, R
    GEOPHYSICAL RESEARCH LETTERS, 2003, 30 (22)