Mr. Bin Jiang Profile

Bin Jiang

at Zhejiang Univ

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Publications (2)

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Proceedings Article | 26 January 2016 Paper

The validation and comparison of the GOCI aerosol optical thickness products: a case study of Tianjin 8.12

Lingling Yao, Xiaoyu Zhang, Hui Yu, Binbin Jiang

Proceedings Volume 9796, 979608 (2016) https://doi.org/10.1117/12.2228805

KEYWORDS: Aerosols, MODIS, Reflectivity, Satellites, Atmospheric modeling, Atmospheric particles, Ocean optics, Atmospheric optics, Clouds, Data modeling

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COMSGOCI (Geostationary Ocean Color Imager) is the first geostationary ocean color satellite in the world launched by South Korea in June 2010, which includes eight bands from the visible to the infrared band. GOCI aerosol optical thickness (AOT) at 555nm was retrieved by atmospheric radiative transfer model based on two-stream approximation algorithm. Due to GOCI without near infrared band and has a high solar elevation angle, solar zenith angle must be recalibrated to solve the earth system albedo, and the surface reflectance solved by quack atmospheric correction and recalculated backward scatter coefficient. Evaluation of GOCIAOT with AERONET measurements showed that the average error becomes 0.107 from the original 0.393, that means GOCI aerosol optical thickness can be more accurately with the advanced two-stream approximation. Taking the eastern China in 3 and 4 December 2013 for example, comparing the GOCIAOT at 555nm, MODISAOT retrievals at 550nm, NPPAOT at 550nm and AERONET data products indicated that: take the AERONET data as reference, the error of three kinds of satellite data can be ordered as following: MODISAOT< GOCIAOT< NPPAOT and the GOCI-MODIS shows a bias of 0.02917 with the GOCI-NPP. GOCIAOT is 0.05714 generally bigger than that of MODISAOT. NPP-GOCI deviation is 0.10253. The deficiency of MODIS is its low spatial resolution and the high concentration of AOT will be mistaken for a cloud area. However, GOCI can well reflect the concentration and distribution of aerosols. Therefore, GOGI can provide real-time dynamic monitoring on China Eastern atmospheric environment and the accurate time event information of haze for each process can be obtained. Finally, applied GOCI to the "8.12 Tianjin bombings" and to monitor the migration and dispersion of pollutant.

Proceedings Article | 18 November 2014 Paper

Establishing monitoring model of Haze event with multi-satellite data and application-a case: Yangtze River Delta

Binbin Jiang, Xiaoyu Zhang, Yong Du, Dasong Huang

Proceedings Volume 9299, 92991C (2014) https://doi.org/10.1117/12.2073158

KEYWORDS: Air contamination, Data modeling, Aerosols, Satellites, Atmospheric modeling, Data centers, MODIS, Atmospheric particles, Refraction, Fiber optic gyroscopes

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Based on Aerosol Optical Thickness (AOT) in the 550nm NPP-EDR data, GOCIAOT in the 555nm for detecting and tracing sudden haze event on 2013 December in the Yangtze River Delta, while CDAS-NCEP/NCAR Reanalysis wind data is utilized to analyze the migrating routine The results show that: 1)GOCIAOT (555nm)<1 and NPPAOT (550nm)<1 is an effective indictor of distinguishing the haze event.2) The two-stream approximation algorithm can be used to retrieve GOCIAOT especially in China with high concentration of aerosol.3)Combined with high-temporal resolution of GOCIAOT is utilized for analyzing the forming mechanism of a sudden outbreak of haze event in Yangtze River Delta .The migration driven mechanism is diagnosed with CDAS-NCEP/NCAR Reanalysis wind data.4)the study suggests that the haze was formed in Hebei and Henan province on December 3, 2013.Under the strong northwest wind with the average rate of 4m/s, the haze rapidly moved to the Yangtze River Delta on December 4^th2013, resulting in the most serious haze event in 2013 in there. Under the northwest wind control, the haze area expanded rapidly from 70,000km² to 200,000km² during its migration. The research suggests that it could be a feasible routine monitoring pattern in detecting the occurrence, migration of haze events in Yangtze River Delta.

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