基于卫星观测的我国北方地区紫外吸收性气溶胶的时空分布研究

宿兴涛; 许丽人; 张志标; 吴洪星

doi:10.3878/j.issn.1006-9585.2014.13079

基于卫星观测的我国北方地区紫外吸收性气溶胶的时空分布研究

doi: 10.3878/j.issn.1006-9585.2014.13079

1.
北京应用气象研究所, 北京100029
2.
解放军93173部队气象台, 辽宁瓦房店116300

基金项目: 国家重点基础研究发展计划2011CB403202

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出版历程
- 收稿日期: 2013-05-08

A Study on the Spatio-Temporal Distribution of UV-Absorbing Aerosols in Northern China Based on Satellite Observations

1.
Beijing Institute of Applied Meteorology, Beijing 100029
2.
Meteorological Observatory of No. 93173 Unit of PLA, Wafangdian Liaoning 116300

摘要

摘要: 利用气溶胶指数(Aerosol Index,AI)资料研究了东亚地区紫外吸收性气溶胶的时空分布特征,主要得出以下结论:1)雨云七号卫星(Nimbus 7,N7)和地球探测卫星(Earth Probe,EP)搭载的臭氧总量测绘光谱仪(Total Ozone Mapping Spectrometer,TOMS)以及臭氧监测仪(Ozone Monitoring Instrument,OMI)反演的AI数据在东亚大陆具有较好的一致性,但EP/TOMS-OMI AI的连续性较好,而N7/TOMS-EP/TOMS AI的连续性较差;2)东亚地区紫外吸收性气溶胶主要位于塔克拉玛干沙漠及其东部周边的库姆塔格、柴达木盆地沙漠、古尔班通古特沙漠、内蒙古中西部、蒙古国南部以及我国东北、华北地区;3)紫外吸收性气溶胶具有明显的月际变化特征;4)旋转正交经验函数分析不仅能分离紫外吸收性气溶胶的源区范围,还能给出源强相对大小的定性信息.
- 紫外吸收性气溶胶 /
- 气溶胶指数 /
- 沙尘 /
- 生物质燃烧 /
- 旋转正交经验函数
Abstract: Aerosol Index (AI) data was used to study the spatio-temporal distribution of ultraviolet (UV)-absorbing aerosols over East Asia. The main conclusions are as follows. In addition to continuity from the Earth Probe (EP)/Total Ozone Mapping Spectrometer (TOMS) AI to the Ozone Monitoring Instrument (OMI) AI, which differs from the Nimbus 7 (N7)/TOMS AI to EP/TOMS AI, good consistency was shown among N7/TOMS, EP/TOMS, and OMI AI. UV-absorbing aerosols are mostly located in the Taklimakan Desert, Kumutage Desert, Qaidam Basin Desert, Gurbantünggüt Desert, Midwestern Inner Mongolian Autonomous Region, Southern Mongolia, Northeastern China, and North China. Moreover, UV-absorbing aerosols have obvious characteristics of inter-monthly variation. Rotated Empirical Orthogonal Function (REOF) analysis can isolate source domains of UV-absorbing aerosols and provide quantitative information on the relative strengths of these sources.
- UV-absorbing aerosol /
- Aerosol Index (AI) /
- Dust /
- Biomass burning /
- Rotated Empirical Orthogonal Function (REOF)

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