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19 November 2012 Improvement of NIES lidar network observations by adding Raman scatter measurement function
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We have conducted ground-based lidar network observations in wide areas of East Asia using two-wavelength (532 and 1064nm) backscatter and one-wavelength (532nm) depolarization Mie-scatter lidars for more than ten years. To realize more advanced aerosol classification and retrieval, we improved the Mie-scatter lidars at several main sites by adding a N2 Raman scatter measurement channel (607nm). This Mie-Raman lidar system provides 1α+2β+1δ data at nighttime: extinction coefficient (α) at 532nm, backscatter coefficients (β) at 532 and 1064nm, and depolarization ratio (δ) at 532nm. We also developed an algorithm to estimate vertical profiles of 532nm extinction coefficients of black carbon, dust, sea-salt, and air-pollution aerosols consisting of a mixture of sulfate, nitrate, and organic carbon substances (SF-NT-OC) using the 1α+2β+1δ data. With this method, we assume an external mixture of aerosol components and prescribe their size distributions, refractive indexes, and particle shapes. The measured lidar data are automatically transferred to the NIES data server. We developed an algorithm to estimate particle optical properties (1α+2β+1δ data), planetary boundary layer (PBL) height, and scene classification identifiers representing molecule-rich, aerosol-rich, or cloud-rich layer automatically and provide their quick-looks in semi-realtime on the website (
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Tomoaki Nishizawa, Nobuo Sugimoto, Ichiro Matsui, and A. Shimizu "Improvement of NIES lidar network observations by adding Raman scatter measurement function", Proc. SPIE 8526, Lidar Remote Sensing for Environmental Monitoring XIII, 85260Q (19 November 2012);

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