タイトル(掲載誌)Proceedings of the CEReS international symposium = CEReS国際シンポジウム資料集
一般注記type:text
[ABSTRACT]Cloud screening algorithm including variability test and coarse mode test was developed for removing cloud-affected data in the skyradiometer measurements. The results compared to cloud amount from weather station reports and lidar measurements show that the variability test appears to effectively remove thick and low-level clouds. On the other hand, the use of size distribution appears to effectively remove thin and high-level clouds. The new algorithm based only on using skyradiometer measurements demonstrated that cloud screening can be improved in comparison to the SKYNET data processing algorithm. The developed cloud screening method is then applied for the dust detection from skyradiometer measurements. Validating results with SYNOP dust reports and the yellow sand index from lidar measurements, it was shown that the developed cloud screening methods helps to detect dust cases, effectively removing cloud-contaminated signals from the dust signals that determined from current SKYNET algorithm. In turn this algorithm contributes to improved accuracy of the dust influence on radiative forcing and its efficiency by reducing uncertainties in the AOT and SSA retrievals.
一次資料へのリンクURLhttps://opac.ll.chiba-u.jp/da/curator/107445/ceresIntlSympo-19-P015.pdf
連携機関・データベース国立情報学研究所 : 学術機関リポジトリデータベース(IRDB)(機関リポジトリ)