高光谱辐射反演气溶胶光学厚度及质量控制技术研究

Abstract
Figure/Table
References
Related Citation (14)

Download: HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In order to reveal the aerosol optical thickness of hyperspectral radiation inversion and study its quality control technology,the author anducted research based on the fine day data from 8:00 to 16:00 on June 5,2021 in Hefei,Anhui Province,by quality control methods such as actual missing test inspection,theoretical range inspection and statistical control.The results indicated that there were no missing data during the study period.In the theoretical range,the number of removals was very small,and the removal data had temporal consistency.Statistical control could effectively eliminate the direct irradiance fluctuation value,enabling the inversion products were more accurate and reasonable.After quality control,the aerosol optical thickness of all six bands had the same trend of first increasing to the maximum value at noon and then decreasings,and the aerosol optical thickness decreased with the increase of wavelength.

Key words： theoretical range inspection statistical control quality control aerosol optical depth

Received: 16 November 2022

ZTFLH:

X513

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Wang Mingliang
	Ji Boyan
	Shao Changliang

Cite this article:

Wang Mingliang,Ji Boyan,Shao Changliang. Research on the inversion of earosol optical thickness and quality control techology by hyperspectral radiation[J]. Meteorological Hydrological and Marine Instrument, 2024, 41(1): 9-12.

URL:

http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2024/V41/I1/9

[1]	邓思欣,司徒淑娉,周雪玲,等.2017年佛山市大气复合污染特征及来源分析[J].环境监控与预警,2021,13(6):43-50.
[2]	张小曳.中国不同区域大气气溶胶化学成分浓度、组成与来源特征[J].气象学报,2014,72(6):1108-1117.
[3]	廖礼,漏嗣佳,符瑜,等.中国东部气溶胶在天气尺度上的辐射强迫和对地面气温的影响[J].大气科学,2015,39(1):68-82.
[4]	陈鹏,张青,李悦.乌鲁木齐市MODIS气溶胶光学厚度与空气质量指数相关性分析[J].沙漠与绿洲气象,2018,12(2):71-77.
[5]	刘璇,朱彬,关学锋,等.华东地区气溶胶分布和变化特征研究[J].沙漠与绿洲气象,2017,11(1):11-21.
[6]	刘福江,唐家玉,刘福寿,等.北京市气溶胶光学厚度影响因子分析[J].地球科学,2023,48(10):3812-3819.
[7]	金丽娜,李雄飞,李军.关中地区PM10质量浓度及MODIS气溶胶光学厚度时空特征分析[J].干旱气象,2018,36(1):110-116.
[8]	万灵,姚凤梅,张佳华.华北及临近海域夏季不同降雨量下气溶胶光学厚度与云滴有效半径的关系[J].干旱气象,2016,34(4):725-730.
[9]	彭杰.上海及周边地区气溶胶对云和降水的影响初探[J].暴雨灾害,2015,34 (4):324-334.
[10]	杨光,麻金继,孙二昌,等.2004—2018年间中国区域气溶胶时空变化特征研究[J].大气与环境光学学报,2021,16(5):443-456.
[11]	NELLI N,FISSEHAYE S,FRANCIS D,et al.Characteristics of atmospheric aerosols over the UAE inferred from CALIPSO and Sun Photometer Aerosol Optical Depth[J].Earth and space science,2021,dio:10.1029/2020EA001360.
[12]	OU J,HU Q,LIU H,et al.Vertical characterization and potential sources of aerosols in different seasons over the Yangtze River Delta using ground-based MAX-DOAS[J].Environmental pollution,2021,dio:10.1016/j.envpol.2021.116898.
[13]	ZHANG X,GUI K,LIAO T,et al.Three-dimensional spatiotemporal evolution of wildfire-induced smoke aerosols:a case study from Liangshan,Southwest China[J].Science of the total environment,2020,doi:10.1016/j.scitotenv.2020.144586.
[14]	GU J,DU S,HAN D,et al.Major chemical compositions,possible sources,and mass closure analysis of PM2.5 in Jinan,China[J].Air quality atmosphere & health,2014,7(3):251-262.
[15]	欧金萍,刘浩然,朱鹏程,等.合肥秋季气溶胶光学特性及来源分析[J].光谱学与光谱分析,2021,41(10):3014-3020.
[16]	杨东旭,韦晶,钟永德.利用MODIS卫星资料反演北京地区气溶胶光学厚度[J].光谱学与光谱分析,2018,38(11):3464-3469.
[17]	陈杰,钱仙妹,刘强,等.1064 nm波长大气气溶胶光吸收特性[J].光谱学与光谱分析,2020,40(10):2989-2995.
[18]	廖捷,周自江.全球常规气象观测资料质量控制研究进展与展望[J].气象科技进展,2018,8(1):56-63.
[19]	周建华.地面气象观测资料的质量控制方法研究[D].南京信息工程大学,2015.
[20]	刘小宁,任芝花.地面气象资料质量控制方法研究概述[J].气象科技,2005,(3):199-203.
[21]	赵晓莉,曹杨,杜云松,等.成都太阳总辐射变化特征及对臭氧污染影响分析[J].四川环境,2022,41(2):80-85.
[22]	胡启军,李泊霖,曹帮军,等.太阳辐射对青藏高原东部地区气温日较差的影响[J].高原科学研究,2021,5(1):8-17.
[23]	GUEYMARD C A.The sun's total and spectral irradiance for solar energy applications and solar radiation models[J].Solar energy,2004,76(4):423-453.
[24]	刘丽莹,郑峰,张国玉,等.基于精密太阳光谱辐射计的气象辐射观测[J].光谱学与光谱分析,2018,38(12):3663-3672.
[25]	许潇锋,邱金桓,牛生杰.利用水平面太阳直接辐射日曝辐量反演大气气溶胶光学厚度的方法研究[J].大气科学,2009,33(2):337-346.