| Year of Publication | 2014 | Division | Asian Dust Research Division |
|---|---|---|---|
| Title | Improved Cloud Screening Method for the Analysis of Sky Radiometer Measurements and Application to Asian Dust Detection | ||
| Author | Hwan-Jin Song | ||
| Coauthor | Hyoung-Wook CHUN, Youngsin CHUN, Sang-Sam LEE | ||
| ISBN(ISSN) | Name of Journal | Journal of the Meteorological Society of Japan | |
| Category (International/Domestic) | 국외 | Vol. No. | 23(4) |
| Research Project Title | 황사 감시․예측기술 지원 및 활용연구(Ⅲ) | Publication Date | 2014-05-01 |
| Keywords | SKYNET; cloud screening; aerosol; dust | ||
A cloud screening method employing two successive procedures of variability test and coarse mode test was
developed, aiming at better elimination of cloud-contaminated data in the sky radiometer retrievals. The performance
of the new cloud screening method was evaluated by examining statistical features with cloud coverage
observations and lidar measurements. The variability test appeared to effectively eliminate data contaminated by
relatively thick low-level clouds, whereas the coarse mode test appeared to eliminate data likely contaminated by
thin cirrus-type clouds. Overall, the new method was considered to improve the current Sky Radiometer Network
(SKYNET) data.
The cloud screening method was then applied to dust detection from sky radiometer measurements. The detection
performance was evaluated using surface synoptic observations (SYNOP) dust reports and the yellow sand index
from NIES lidar measurements. It was shown that the new method helped to detect dust, effectively eliminating
