Editorial Type:
Article
Article Type:
Research Article

Correlations of Multispectral Infrared Indicators and Applications in the Analysis of Developing Convective Clouds

Qiong Wu Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China

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Hong-Qing Wang Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China

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Yi-Zhou Zhuang Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China

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Yin-Jing Lin National Meteorological Center, China Meteorological Administration, Beijing, China

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Yan Zhang Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China

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Sai-Sai Ding Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China

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Print Publication:
01 Apr 2016
DOI:
https://doi.org/10.1175/JAMC-D-15-0081.1
Page(s):
945–960
Restricted access

Abstract

Three infrared (IR) indicators were included in this study: the 10.8-μm brightness temperature (BT10.8), the BT difference between 12.0 and 10.8 μm (BTD12.0–10.8), and the BT difference between 6.7 and 10.8 μm (BTD6.7–10.8). Correlations among these IR indicators were investigated using MTSAT-1R images for summer 2007 over East Asia. Temporal, spatial, and numerical frequency distributions were used to represent the correlations. The results showed that large BTD12.0–10.8 values can be observed in the growth of cumulus congestus and associated with the boundary of different terrain where convection was more likely to generate and develop. The results also showed that numerical correlation between any two IR indicators could be expressed by two-dimensional histograms (HT2D). Because of differences in the tropopause heights and in the temperature and water vapor fields, the shapes of the HT2Ds varied with latitude and the type of underlying surface. After carefully analyzing the correlations among the IR indicators, a conceptual model of the convection life cycle was constructed according to these HT2Ds. A new cloud convection index (CCI) was defined with the combination of BTD12.0–10.8 and BTD6.7–10.8 on the basis of the conceptual model. The preliminary test results demonstrated that CCI could effectively identify convective clouds. CCI value and its time trend could reflect the growth or decline of convective clouds.

Corresponding author address: Hong-Qing Wang, Dept. of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China. E-mail: hqwang@pku.edu.cn

Abstract

Three infrared (IR) indicators were included in this study: the 10.8-μm brightness temperature (BT10.8), the BT difference between 12.0 and 10.8 μm (BTD12.0–10.8), and the BT difference between 6.7 and 10.8 μm (BTD6.7–10.8). Correlations among these IR indicators were investigated using MTSAT-1R images for summer 2007 over East Asia. Temporal, spatial, and numerical frequency distributions were used to represent the correlations. The results showed that large BTD12.0–10.8 values can be observed in the growth of cumulus congestus and associated with the boundary of different terrain where convection was more likely to generate and develop. The results also showed that numerical correlation between any two IR indicators could be expressed by two-dimensional histograms (HT2D). Because of differences in the tropopause heights and in the temperature and water vapor fields, the shapes of the HT2Ds varied with latitude and the type of underlying surface. After carefully analyzing the correlations among the IR indicators, a conceptual model of the convection life cycle was constructed according to these HT2Ds. A new cloud convection index (CCI) was defined with the combination of BTD12.0–10.8 and BTD6.7–10.8 on the basis of the conceptual model. The preliminary test results demonstrated that CCI could effectively identify convective clouds. CCI value and its time trend could reflect the growth or decline of convective clouds.

Corresponding author address: Hong-Qing Wang, Dept. of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China. E-mail: hqwang@pku.edu.cn
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