| Year of Publication | 2012 | Division | Asian Dust Research Division |
|---|---|---|---|
| Title | Nighttime AOT Retrieval for Asian Dusts from MODIS IR Measurements: An Artificial Neural Network Approach | ||
| Author | Sang-Sam Lee | ||
| Coauthor | B. J. SOHN | ||
| ISBN(ISSN) | Name of Journal | Journal of the Meteorological Society of Japan | |
| Category (International/Domestic) | 국제 | Vol. No. | 30 |
| Research Project Title | 황사 감시․예측기술 지원 및 활용연구(Ⅲ) | Publication Date | 2011-09-01 |
| Keywords | |||
In order to estimate MODIS-equivalent aerosol optical thicknesses (AOTs) for dust particles during the nighttime over East Asia, an Artificial Neural Network (ANN) model approach was used to combine MODIS-measured infrared (IR) brightness temperatures (BTs) and visible (VIS) AOTs. For training the ANN model, IR BTs were used together with surface type and geometrical information as inputs to predict MODIS-derived AOTs as target data during the daytime when VIS-based AOTs are available. The training was done exclusively over dust-laid pixels during the spring (March–May) of 2006 over the East Asian domain (20°N–55°N, 90°E–145°E).
