Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization

The Advanced Himawari Imager (AHI) aboard the Himawari-8, a new generation of geostationary meteorological satellite, has high-frequency observation, which allows it to effectively capture atmospheric variations. In this paper, we have proposed an Improved Bi-angle Aerosol optical depth (AOD) retrie...

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Autores principales:	Chunlin Jin, Yong Xue, Xingxing Jiang, Yuxin Sun, Shuhui Wu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	AHI AOD IBAA PSO Science Q
Acceso en línea:	https://doaj.org/article/3715545841a346d38d9872a84b3b2949
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spelling	oai:doaj.org-article:3715545841a346d38d9872a84b3b29492021-11-25T18:55:26ZImproved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization10.3390/rs132246892072-4292https://doaj.org/article/3715545841a346d38d9872a84b3b29492021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4689https://doaj.org/toc/2072-4292The Advanced Himawari Imager (AHI) aboard the Himawari-8, a new generation of geostationary meteorological satellite, has high-frequency observation, which allows it to effectively capture atmospheric variations. In this paper, we have proposed an Improved Bi-angle Aerosol optical depth (AOD) retrieval Algorithm (IBAA) from AHI data. The algorithm ignores the aerosol effect at 2.3 μm and assumes that the aerosol optical depth does not change within one hour. According to the property that the reflectivity ratio K of two observations at 2.3 μm does not change with wavelength, we constructed the equation for two observations of AHI 0.47 μm band. Then Particle Swarm Optimization (PSO) was used to solve the nonlinear equation. The algorithm was applied to the AHI observations over the Chinese mainland (80°–135°E, 15°–60°N) between April and June 2019 and hourly AOD at 0.47 μm was retrieved. We validated IBAA AOD against the Aerosol Robotic Network (AERONET) sites observation, including surrounding regions as well as the Chinese mainland, and compared it with the AHI L3 V030 hourly AOD product. Validation with AERONET of 2079 matching points shows a correlation coefficient R = 0.82, root-mean-square error RMSE = 0.27, and more than 62% AOD retrieval results within the expected error of ±(0.05 + 0.2 × AOD<sub>AERONET</sub>). Although IBAA does not perform very well in the case of coarse-particle aerosols, the comparison and validation demonstrate it can estimate AHI AOD with good accuracy and wide coverage over land on the whole.Chunlin JinYong XueXingxing JiangYuxin SunShuhui WuMDPI AGarticleAHI AODIBAAPSOScienceQENRemote Sensing, Vol 13, Iss 4689, p 4689 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	AHI AOD IBAA PSO Science Q
spellingShingle	AHI AOD IBAA PSO Science Q Chunlin Jin Yong Xue Xingxing Jiang Yuxin Sun Shuhui Wu Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization
description	The Advanced Himawari Imager (AHI) aboard the Himawari-8, a new generation of geostationary meteorological satellite, has high-frequency observation, which allows it to effectively capture atmospheric variations. In this paper, we have proposed an Improved Bi-angle Aerosol optical depth (AOD) retrieval Algorithm (IBAA) from AHI data. The algorithm ignores the aerosol effect at 2.3 μm and assumes that the aerosol optical depth does not change within one hour. According to the property that the reflectivity ratio K of two observations at 2.3 μm does not change with wavelength, we constructed the equation for two observations of AHI 0.47 μm band. Then Particle Swarm Optimization (PSO) was used to solve the nonlinear equation. The algorithm was applied to the AHI observations over the Chinese mainland (80°–135°E, 15°–60°N) between April and June 2019 and hourly AOD at 0.47 μm was retrieved. We validated IBAA AOD against the Aerosol Robotic Network (AERONET) sites observation, including surrounding regions as well as the Chinese mainland, and compared it with the AHI L3 V030 hourly AOD product. Validation with AERONET of 2079 matching points shows a correlation coefficient R = 0.82, root-mean-square error RMSE = 0.27, and more than 62% AOD retrieval results within the expected error of ±(0.05 + 0.2 × AOD<sub>AERONET</sub>). Although IBAA does not perform very well in the case of coarse-particle aerosols, the comparison and validation demonstrate it can estimate AHI AOD with good accuracy and wide coverage over land on the whole.
format	article
author	Chunlin Jin Yong Xue Xingxing Jiang Yuxin Sun Shuhui Wu
author_facet	Chunlin Jin Yong Xue Xingxing Jiang Yuxin Sun Shuhui Wu
author_sort	Chunlin Jin
title	Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization
title_short	Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization
title_full	Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization
title_fullStr	Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization
title_full_unstemmed	Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization
title_sort	improved bi-angle aerosol optical depth retrieval algorithm from ahi data based on particle swarm optimization
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3715545841a346d38d9872a84b3b2949
work_keys_str_mv	AT chunlinjin improvedbiangleaerosolopticaldepthretrievalalgorithmfromahidatabasedonparticleswarmoptimization AT yongxue improvedbiangleaerosolopticaldepthretrievalalgorithmfromahidatabasedonparticleswarmoptimization AT xingxingjiang improvedbiangleaerosolopticaldepthretrievalalgorithmfromahidatabasedonparticleswarmoptimization AT yuxinsun improvedbiangleaerosolopticaldepthretrievalalgorithmfromahidatabasedonparticleswarmoptimization AT shuhuiwu improvedbiangleaerosolopticaldepthretrievalalgorithmfromahidatabasedonparticleswarmoptimization
_version_	1718410516615921664

Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization

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