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Sökning: WFRF:(Kuvatov M.)

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1.
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2.
  • Buehler, Stefan A., et al. (författare)
  • An upper tropospheric humidity data set from operational satellite microwave data
  • 2008
  • Ingår i: Journal of Geophysical Research. - 0148-0227 .- 2156-2202. ; 113:14, s. D14110-
  • Tidskriftsartikel (refereegranskat)abstract
    • 183.31 GHz observations from the Advanced Microwave Sounding Unit B (AMSUB) instruments onboard the NOAA 15, 16, and 17 satellites were used to derive a new data set of Upper Tropospheric Humidity (UTH). The data set consist of monthly median and mean data on a 1.5 degrees latitude-longitude grid between 60 degrees S and 60 degrees N, and covers the time period of January 2000 to February 2007. The data from all three instruments are very consistent, with relative difference biases of less than 4% and relative difference standard deviations of 7%. Radiometric contributions by high ice clouds and by the Earth's surface affect the measurements in certain areas. The uncertainty due to clouds is estimated to be up to approximately 10%RH in areas with deep convection. The uncertainty associated with contamination from surface emission can exceed 10%RH in midlatitude winter, where the data therefore should be regarded with caution. Otherwise the surface influence appears negligible. The paper also discusses the UTH median climatology and seasonal cycle, which are found to be broadly consistent with UTH climatologies from other sensors. Finally, the paper presents an initial validation of the new data set against IR satellite data and radiosonde data. The observed biases of up to 9%RH (wet bias relative to HIRS) were found to be broadly consistent with expectations based on earlier studies. The observed standard deviations against all other data sets were below 6%RH. The UTH data are available to the scientific community on http://www.sat.ltu.se.
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3.
  • Buehler, Stefan, et al. (författare)
  • Comparison of microwave satellite humidity data and radiosonde profiles : a case study
  • 2004
  • Ingår i: Journal of Geophysical Research. - 0148-0227 .- 2156-2202. ; 109:13, s. S13103-
  • Tidskriftsartikel (refereegranskat)abstract
    • This article documents a case study comparing radiosonde humidity data to Advanced Microwave Sounding Unit (AMSU) satellite humidity data. The study had two goals: first, to develop a robust method for such a comparison, and second, to check the quality and mutual consistency of radiosonde data, radiative transfer model, and AMSU data. The radiosonde data used are Vaisala RS80 data from the station Lindenberg of the German Weather Service (DWD), which have been subject to several corrections compared to the standard data processing. The radiative transfer model is the Atmospheric Radiative Transfer Simulator ( ARTS), and the AMSU data are those of the satellites NOAA 15 and 16 for the time periods 2001 and 2002. The comparison was done in radiance space, using a radiative transfer model to simulate AMSU radiances from the radiosonde data. The overall agreement is very good, with radiance biases below 1.5 K and standard deviations below 2 K. The main source of "noise'' in the comparison is atmospheric inhomogeneity on the 10-km scale. While the radiosonde correction performed at Lindenberg significantly reduces the bias between simulated and measured AMSU radiance, there still remains a slope in the radiance difference. Possible reasons for this were investigated. Most likely, the radiosondes underestimate the relative humidity under extremely dry conditions, showing 0 % RH when the true value is 2 - 4 % RH.
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4.
  • Buehler, Stefan, et al. (författare)
  • Scan asymmetries in AMSU-B data
  • 2005
  • Ingår i: Geophysical Research Letters. - 0094-8276 .- 1944-8007. ; 32:24, s. L2481-
  • Tidskriftsartikel (refereegranskat)abstract
    • A simple method of averaging measurements for different scan positions was used to quantify scan asymmetries in AMSU-B brightness temperatures for the sensors on the satellites NOAA 15, 16, and 17. The method works particularly well for the sounding channels 18 to 20. The asymmetries are small in most cases. In particular, asymmetries for Channel 18 are below 1.90, −0.53, and 0.49 K for NOAA 15, 16, and 17, respectively. On the other hand, it was found that the instrument on NOAA 15 has significant asymmetries for Channels 19 and 20, which seem to be related to the known radio frequency interference problem for this instrument. The use of the appropriate set of interference correction coefficients significantly reduces the asymmetry.
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5.
  • John, V.O., et al. (författare)
  • ARTS - a new radiative transfer model for AMSU
  • 2003
  • Ingår i: The technical proceedings of the twelfth international TOVS Study Conference, Lorne, Australia, 27 February - 5 March 2002. - Melbourne : Bureau of Meteorology Research Centre.
  • Konferensbidrag (refereegranskat)
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6.
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7.
  • John, V. O., et al. (författare)
  • Toward a long-term homogenized UTH data set derived from satellite microwave measurements
  • 2006
  • Ingår i: Microwave remote sensing of the atmosphere and environment. V.. - Bellingham, Wash : SPIE - International Society for Optical Engineering. ; , s. 64100K-
  • Konferensbidrag (refereegranskat)abstract
    • This article presents some ideas and issues related to the creation of a long-term upper tropospheric humidity (UTH) data set using satellite based microwave measurements. Polar orbiting satellites have been measuring UTH for more than a decade now. There are three microwave instruments which can measure UTH from Space: Special Sensor Microwave/Temperature-2 (SSM/T2), Advanced Microwave Sounding Unit-B (AMSU-B), and Microwave Humidity Sounder (MHS). These instruments have channels at 183.31±1.00GHz which are sensitive to UTH. Retrieval of UTH and cloud issues are discussed in detail. Advantage of microwave measurements of UTH over infrared measurements are demonstrated. Preliminary results on the inter-calibration of these instruments are also shown.
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  • Resultat 1-7 av 7

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