气候变化领域集成服务门户(CCPortal): An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3

CCPortal

DOI	10.1016/j.rse.2020.111894
	An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3
	Ge B.; Mei X.; Li Z.; Hou W.; Xie Y.; Zhang Y.; Xu H.; Li K.; Wei Y.
发表日期	2020
ISSN	00344257
卷号	247
英文摘要	The fine-mode aerosols (FMA), generally generated from anthropogenic sources, play an essential role in global radiation balance, climate change, atmospheric environment, and human health. However, the FMA retrieval remains a challenge. An improved high resolution FMA retrieval algorithm based on the Spectral Neutrality of Surface Polarized Reflectance (SNOSPR) was developed using polarized satellite data. SNOSPR utilizes a lookup table approach to simultaneously retrieve high spatial resolution FMA parameters, such as FMA optical depth (AODf), Ångström exponent (AE), and surface polarized reflectance (SPR), without using the surface Bidirectional Polarization Distribution Function (BPDF) model, which may yield relatively more significant errors of SPR estimation in certain surface types. Besides, a new cost function (CF) based on the hypothesis of invariance of SPR was used to select the best retrievals. SNOSPR algorithm was applied to POLDER-3 polarized observation data (i.e., 2010–2012). Inter-comparison between SNOSPR (6 km) and POLDER-3 (L2_LGC,18 km) for two typical cases and monthly averaged AODf products showed a generally consistent spatial distribution, while SNOSPR provided more details, and better coverage over barren and coastal areas at high spatial resolution. Furthermore, all retrieved AODf, AE products of SNOSPR and L2_LGC were validated using AERosol RObotic NETwork (AERONET) measurements. The AODf results showed fine correlation coefficients, i.e., R of 0.9 and 0.89, respectively. However, products of SNOSPR had the expected error range which was higher than that of L2_LGC over all surface types (i.e., 77.3% vs 70.6%), urban (i.e., 76.0% vs 60.6%) and wetland (i.e., 82.4% vs 68.4%). Time-series comparison over grassland showed that SNOSPR had better coverage and more accurate retrievals. Considering AE, both SNOSPR and L2_LGC underestimated its value when validated against AERONET measurements. On the other hand, SPR was retrieved at higher retrieval accuracy by SNOSPR than L2_LGC, which used BPDF. Accuracies of the retrieved AODf improved significantly when multi-directional data was used, especially when the viewing angle number increased from one to four. The uncertainty analysis of spectral neutrality and spatial invariance of SPR was discussed for future improvements of SNOSPR. Last, SNOSPR was applied on Directional Polarimetric Camera (DPC), i.e., a POLDER-like sensor onboard the Chinese Gao Fen-5 satellite. The results in this study demonstrated the effectiveness of the SNOSPR algorithm and its potential for more reliable AODf/SPR retrievals for monitoring local atmospheric pollution and related studies. © 2020 Elsevier Inc.
英文关键词	DPC; Fine-mode AOD; New retrieval algorithm; Polarization; POLDER-3; Surface polarized reflectance
语种	英语
scopus关键词	Aerosols; Atmospheric radiation; Climate change; Cost functions; Distribution functions; Image resolution; Reflection; Satellites; Table lookup; Wetlands; Aerosol robotic networks; Atmospheric environment; Bidirectional polarization distribution functions; Correlation coefficient; High spatial resolution; Lookup table approaches; Polarized reflectances; Time-series comparisons; Uncertainty analysis; AERONET; aerosol; algorithm; atmospheric pollution; grassland; model validation; optical depth; POLDER; satellite data; spatial resolution; uncertainty analysis; wetland
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179265
作者单位	State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; College of Resources and Environment, University of Information Technology, Chengdu, 610225, China
推荐引用方式 GB/T 7714	Ge B.,Mei X.,Li Z.,et al. An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3[J],2020,247.
APA	Ge B..,Mei X..,Li Z..,Hou W..,Xie Y..,...&Wei Y..(2020).An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3.Remote Sensing of Environment,247.
MLA	Ge B.,et al."An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3".Remote Sensing of Environment 247(2020).