Modeling of BRDF Characteristics of Deep Convective Cloud Based on Himawari-8 Satellite Imager

Weiwei Zhou; Xiuqing Hu; Leiku Yang

doi:10.3788/AOS221771

Acta Optica Sinica, Volume. 43, Issue 12, 1228007(2023)

Modeling of BRDF Characteristics of Deep Convective Cloud Based on Himawari-8 Satellite Imager

Weiwei Zhou¹, Xiuqing Hu^2,3、*, and Leiku Yang¹

Author Affiliations

¹School of Survey and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan, China

²Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite;Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081,China

³Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China

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Figures & Tables(8)

Fig. 1. BRDF polar map of reflectivity at zenith angle of 15°-20° for different bands

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Fig. 2. BRDF polar plot of reflectivity of Hu model at zenith angle of 17.5°

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Fig. 3. Normalized time series of monthly reflectance mode of deep convective clouds

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Fig. 4. Monthly frequency distribution function of channels 1-6 in 2018

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Fig. 5. Response change of deep tropic cloud reflectivity of each channel from 2016 to 2022

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Table 1. Detailed parameters of Himawari-8/AHI

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Table 1. Detailed parameters of Himawari-8/AHI

Light	Band	Central wavelength /μm	Spatial resolution /km
	1	0.47	1.0
Visible light	2	0.51	1.0
	3	0.64	0.5
	4	0.86	1.0
Near infrared	5	1.60	2.0
	6	2.30	2.0
	7	3.90	2.0
	8	6.20	2.0
	9	6.90	2.0
	10	7.30	2.0
Infra-red	11	8.60	2.0
	12	9.60	2.0
	13	10.40	2.0
	14	11.20	2.0
	15	12.40	2.0
	16	13.30	2.0

Table 2. Corrected and uncorrected standard errors of different models
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Table 2. Corrected and uncorrected standard errors of different models
Band /nm
No
BRDF /%
Hu
BRDF /%
H8
BRDF /%
470 0.097 0.078 0.085
510 0.112 0.102 0.092
640 0.158 0.157 0.141
860 0.132 0.131 0.129
1600 0.260 0.320 0.240
2300 0.210 0.240 0.145

Table 3. Total degradation rate and annual degradation rate of each channel of the instrument calculated by the deep convective cloud method and the calibration coefficient method

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Table 3. Total degradation rate and annual degradation rate of each channel of the instrument calculated by the deep convective cloud method and the calibration coefficient method

Band /nm	Total degradation /%（DCC）	Annual Degradation /%（DCC）	Total degradation /%（slope）	Annual degradation /%（slope）
470	1.94	0.310	2.50	0.39
510	2.52	0.400	3.00	0.47
640	4.16	0.650	4.51	0.70
865	3.80	0.600	4.31	0.67
1600	-0.21	-0.032	1.00	0.16
2300	0.26	0.041	1.30	0.21

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Weiwei Zhou, Xiuqing Hu, Leiku Yang. Modeling of BRDF Characteristics of Deep Convective Cloud Based on Himawari-8 Satellite Imager[J]. Acta Optica Sinica, 2023, 43(12): 1228007

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