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Estimation of Land Surface Temperature over the Tibetan Plateau using Geostationary Meteorological Satellite "Himawari"

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Bibliographic Information

Other Title
  • 気象衛星ひまわりを用いたチベット高原上の地表面温度の算出

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Abstract

NOAA/AVHRRを用いて地表面温度を算出する赤外スプリットウィンドウ法をGMS/VISSRに適用し,チベット高原上の地表面温度を算出した.地表面温度の算出に必要な大気の透過率は放射伝達モデルを用いて,可降水量は水蒸気チャンネルの輝度温度からそれぞれ回帰的に求めた.正確な地表面温度の算出には雲領域を適確に除去する必要がある.赤外チャンネルの輝度温度を用いた変動閾値法により,従来の固定閾値法に比べて効果的に雲領域を検出することができた.その結果,地上観測値との相関係数が0.8以上,平均誤差10Kで地表面温度を算出することができた.

GMS/VISSR images have been used to estimate the land surface temperature distribution over the TibetanPlateau. The infrared split-window algorithm is used with some modifications to obtain surface temperaturesfrom NOAA/AVHRR measurements. Radiative transfer simulations are carried out to obtain the atmospherictransmittances and the difference temperatures that are involved in the internal coefficients of the split-windowalgorithm. Precipitable water distribution that is required by this algorithm is estimated from 6.7 m brightnesstemperature utilizing spectral characteristics of GMS water vapor channel.Cloud removal has an important part to play in surface temperature retrieval process. To identify convectivecloud activity, many researchers use satellite infrared measurements with the fixed threshold technique. But inthis study, it is necessary to remove not only convective clouds but also all kind of clouds. For this purpose, thevariable threshold technique is proposed. The threshold varies dependently on both seasonal and diurnal, and itsvalue is determined on the basis of surface observation. As a result of adoption this technique, it becomes possibleto remove relatively warmer clouds in summer and detect colder ground surface in winter nighttime.The results of comparing estimated surface temperature from GMS data using this algorithm with in-situ surfacemeasurements shows high correlation coefficient, it is nearly 0.8 or over.

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Details

  • CRID
    1050001202301156224
  • NII Book ID
    AN00027784
  • ISSN
    0386-412X
  • HDL
    2433/129131
  • Text Lang
    ja
  • Article Type
    departmental bulletin paper
  • Data Source
    • IRDB
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