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Dual-Site Lidar Observations and Satellite Data Analysis for Regional Cloud Characterization

  • ENVIRONMENTAL, BIOLOGICAL, AND SPACE OPTICS
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Abstract

Lidar data observed by two continuously operated portable automated lidar (PAL) systems and images from the visible and thermal infrared channels of the advanced very high resolution radiometer (AVHRR) sensor on board the noaa16 satellite are employed for the characterization of cloud heights and cloud types. The PAL systems are located in Chiba and Ichihara city areas, separated by approximately 10 km. Measurements from October 2003 to March 2005 reveal that monthly averages of cloud base height and cloud cover ratio show good agreement between the two sites. The characteristics of the vertical (Chiba) and slant (Ichihara) measurements are also discussed. The PAL data are used to adjust threshold values of a cloud-type classification method in split-window data of noaa16-AVHRR. Comparisons between the lidar signals and the cloud classification results from the concurrent AVHRR images show that the classification method can reasonably be applied to this mid-latitude case, although the split-window technique was originally developed for tropical clouds.

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Authors and Affiliations

  1. Center for Environmental Remote Sensing, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba, 263-8522, Japan

    Gerry Bagtasa, Cheng Liu, Nobuo Takeuchi & Hiroaki Kuze

  2. Science and Technology University of China, Hefei, 230026, China

    Cheng Liu

  3. Chiba Prefectural Environmental Research Center, 1-88 Iwasaki-nishi, Ichihara, Chiba, 290-0046, Japan

    Suekazu Naito

  4. Hamamatsu Photonics K.K., 5000 Hirakuchi, Hamamatsu, Shizuoka, 434-8601, Japan

    Akihiro Sone & Hirofumi Kan

Authors
  1. Gerry Bagtasa
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  2. Cheng Liu
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  3. Nobuo Takeuchi
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  4. Hiroaki Kuze
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  5. Suekazu Naito
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  6. Akihiro Sone
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  7. Hirofumi Kan
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Correspondence to Gerry Bagtasa.

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Bagtasa, G., Liu, C., Takeuchi, N. et al. Dual-Site Lidar Observations and Satellite Data Analysis for Regional Cloud Characterization. OPT REV 14, 39–47 (2007). https://doi.org/10.1007/s10043-007-0039-8

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  • DOI: https://doi.org/10.1007/s10043-007-0039-8

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