کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8866567 1621189 2018 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites
چکیده انگلیسی
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 0.67 μm (R0.67) and the brightness temperature difference between 3.7 μm and 11 μm (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 (ΔR0.67, ΔBTD3.7-11) 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 ΔR0.67 threshold value showed better accuracy (78% vs. 67%) than the conventional R0.67 threshold method. In addition, the ΔBTD3.7-11 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 ΔR0.67 and R0.67, particularly for LSF without cumuliform or high clouds. Our method is applicable to multiple geostationary satellites for continuous LSF monitoring.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 211, 15 June 2018, Pages 292-306
نویسندگان
, , , , , , , , , ,