Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8866567 | Remote Sensing of Environment | 2018 | 15 Pages |
Abstract
A novel method was proposed to detect low stratus and fog (LSF) at dawn during the summertime using near-simultaneous observations from dual geostationary-orbit satellites (GEOs): the Korean Communication, Ocean and Meteorological Satellite (COMS; 128.2°E) and the Chinese Feng-Yun-2D (FY-2D; 86.5°E). The orbital positions of the GEOs provided a large difference (~46.5°) in the viewing zenith angle (VZA) in the study region (122-132°E, 32.5-42.5°N) and high contrast observations at dawn. Numerical simulations were carried out to derive the optical properties of the LSF and the radiative differences between the GEOs due to both the VZA and spectral response function (SRF). The conventional threshold method, which used the visible reflectance at 0.67â¯Î¼m (R0.67) and the brightness temperature difference between 3.7â¯Î¼m and 11â¯Î¼m (BTD3.7-11), had limitations in detecting LSF at dawn due to weak visible light and fast night-to-day transition. We utilized the observed stereo differences (ÎR0.67, ÎBTD3.7-11) between the two GEOs to improve LSF detection. The dual-satellite observations were verified with ground-based data from 45 stations in South Korea co-located with each GEO pixel. The ÎR0.67 threshold value showed better accuracy (78% vs. 67%) than the conventional R0.67 threshold method. In addition, the ÎBTD3.7-11 threshold was better (55% vs. 38%) than the BTD3.7-11 threshold. The dual-satellite method allowed more reliable LSF detection using the combination of ÎR0.67 and R0.67, particularly for LSF without cumuliform or high clouds. Our method is applicable to multiple geostationary satellites for continuous LSF monitoring.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Jung-Moon Yoo, Gyo-Hwang Choo, Kwon-Ho Lee, Dong L. Wu, Jung-Hyun Yang, Jun-Dong Park, Yong-Sang Choi, Dong-Bin Shin, Jin-Hee Jeong, Jung-Min Yoo,