HR: 1340h
AN: A33E-1653    [Abstracts]
TI: Development of Yellow Sand Image Products Using Infrared Brightness Temperature Difference Method
AU: * Ha, J
EM: jongsung@pusan.ac.kr
AF: Jong-Sung Ha, Dept. of Atmospheric Scienses, Pusan National University San 30, Changjeon-dong, Keumjeoung-gu, Busan, 609-735, Korea, Republic of
AU: Kim, J
EM: jaekim@pusan.ac.kr
AF: Jong-Sung Ha, Dept. of Atmospheric Scienses, Pusan National University San 30, Changjeon-dong, Keumjeoung-gu, Busan, 609-735, Korea, Republic of
AU: Kwak, M
EM: minkyoung@pusan.ac.kr
AF: Jong-Sung Ha, Dept. of Atmospheric Scienses, Pusan National University San 30, Changjeon-dong, Keumjeoung-gu, Busan, 609-735, Korea, Republic of
AU: Ha, K
EM: kjha@pusan.ac.kr
AF: Jong-Sung Ha, Dept. of Atmospheric Scienses, Pusan National University San 30, Changjeon-dong, Keumjeoung-gu, Busan, 609-735, Korea, Republic of
AB: A technique for detection of airborne yellow sand dust using meteorological satellite has been developed from various bands from ultraviolet to infrared channels. Among them, Infrared (IR) channels have an advantage of detecting aerosols over high reflecting surface as well as during nighttime. There had been suggestion of using brightness temperature difference (BTD) between 11 and 12¥ìm. We have found that the technique is highly depends on surface temperature, emissivity, and zenith angle, which results in changing the threshold of BTD. In order to overcome these problems, we have constructed the background brightness temperature threshold of BTD and then aerosol index (AI) has been determined from subtracting the background threshold from BTD of our interested scene. Along with this, we utilized high temporal coverage of geostationary satellite, MTSAT, to improve the reliability of the determined AI signal. The products have been evaluated by comparing the forecasted wind field with the movement fiend of AI. The statistical score test illustrates that this newly developed algorithm produces a promising result for detecting mineral dust by reducing the errors with respect to the current BTD method.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting