:Estimation and inter-comparison of dust aerosols based on MODIS, MISR and AERONET retrievals over Asian desert regions论文

:Estimation and inter-comparison of dust aerosols based on MODIS, MISR and AERONET retrievals over Asian desert regions论文

本文主要研究内容

作者(2019)在《Estimation and inter-comparison of dust aerosols based on MODIS, MISR and AERONET retrievals over Asian desert regions》一文中研究指出:This study presents detailed analysis of spatiotemporal variations and trend of dust optical properties i.e., Aerosol Optical Depth(AOD) and Angstrom component over Asian desert regions using thirteen years of data(i.e., 2001–2013) retrieved from Aerosol Robotic Network(AERONET), Moderate Resolution Imaging Spectroradiometer(MODIS) and Multi-angle Imaging Spectroradiometer(MISR). These regions include Solar Village, Dunhuang and Dalangzadgad and are considered as origin of desert aerosols in Asia. Mann–Kendall trend test was used to show the trend of AOD. The relationship of AOD with weather parameters and general AOD trend over different wavelengths has also been shown. AOD’s trend has been observed significant throughout the year in Solar Village, while in Dunhuang and Dalanzadgad the significant trend has been found only in peak period(March–June).Analysis show high values of AOD and low values of angstrom in Solar Village during peak period. In Chinese desert regions, high values of AOD have been found during peak period and low values in pre-peak period. Significant relationship has been observed between AOD and average temperature in Solar Village and Dalanzadgad whereas rainfall and wind speed showed no significant impact on AOD in all desert regions.

Abstract

This study presents detailed analysis of spatiotemporal variations and trend of dust optical properties i.e., Aerosol Optical Depth(AOD) and Angstrom component over Asian desert regions using thirteen years of data(i.e., 2001–2013) retrieved from Aerosol Robotic Network(AERONET), Moderate Resolution Imaging Spectroradiometer(MODIS) and Multi-angle Imaging Spectroradiometer(MISR). These regions include Solar Village, Dunhuang and Dalangzadgad and are considered as origin of desert aerosols in Asia. Mann–Kendall trend test was used to show the trend of AOD. The relationship of AOD with weather parameters and general AOD trend over different wavelengths has also been shown. AOD’s trend has been observed significant throughout the year in Solar Village, while in Dunhuang and Dalanzadgad the significant trend has been found only in peak period(March–June).Analysis show high values of AOD and low values of angstrom in Solar Village during peak period. In Chinese desert regions, high values of AOD have been found during peak period and low values in pre-peak period. Significant relationship has been observed between AOD and average temperature in Solar Village and Dalanzadgad whereas rainfall and wind speed showed no significant impact on AOD in all desert regions.

论文参考文献

  • [1].Radiative forcing and temperature response of dust aerosols over East Asia in the latest decade[J]. XingTao Su 1,HanJie Wang 2,ZhiBiao Zhang 3 1.Institute of Meteorology,PLA University of Science and Technology,Nanjing,Jiangsu 211101,China 2.Key Laboratory of Regional Climate-Environment Research for Temperate East Asia,Chinese Academy of Science,Beijing 100029,China 3.Beijing Institute of Applied Meteorology,Beijing 100029,China.  Sciences in Cold and Arid Regions.2012(04)
  • [2].Vertical distribution of sand-dust aerosols and the relationships with atmospheric environment[J]. Jie ZHANG1,XingMing LI2 1 Key Laboratory of Meteorological Disaster of Ministry of Education(KLME),Nanjing University of Information Science & Technology,Nanjing 210044,China;2 Meteorological Institute of Shaanxi Province,Xi’an 710078,China.  Journal of Arid Land.2012(04)
  • [3].Interactions between water vapor and atmospheric aerosols have key roles in air quality and climate change[J]. Zhijun Wu,Jie Chen,Yu Wang,Yishu Zhu,Yuechen Liu,Bai Yao,Yuanhang Zhang,Min Hu.  National Science Review.2018(04)
  • [4].Hygroscopicity of particles generated from photooxidation of α-pinene under diferent oxidation conditions in the presence of sulfate seed aerosols[J]. Biwu Chu,Kun Wang,Hideto Takekawa,Junhua Li,Wei Zhou,Jingkun Jiang,Qinxing Ma,Hong He,Jiming Hao.  Journal of Environmental Sciences.2014(01)
  • [5].Simulation of atmospheric aerosols in East Asia using modeling system RAMS-CMAQ:Model evaluation[J]. Meigen Zhanga, Zhiwei Hanb, Lingyun Zhua,c,d a State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China b Key Laboratory of Regional Climate, Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China c Graduate School of the Chinese Academy of Sciences, Beijing 100049, China d Shanxi Province Meteorological Institute, Taiyuan 030002, China.  China Particuology.2007(05)
  • [6].Characteristics of carbonaceous aerosols analyzed using a multiwavelength thermal/optical carbon analyzer: A case study in Lanzhou City[J]. Yulan ZHANG,Shichang KANG.  Science China Earth Sciences.
  • [7].New insights into the sources and formation of carbonaceous aerosols in China:potential applications of dual-carbon isotopes[J]. Fang Cao,Yanlin Zhang,Lujie Ren,Junwen Liu,Jun Li,Gan Zhang,Di Liu,Yele Sun,Zifa Wang,Zongbo Shi,Pingqing Fu.  National Science Review.2017(06)
  • [8].Black carbon aerosols and their radiative properties in the Pearl River Delta region[J]. WU Dui1, MAO JieTai2, DENG XueJiao1, TIE XueXi3, ZHANG YuanHang4, ZENG LiMin4, LI Fei1, TAN HaoBo1, BI XueYan1, HUANG XiaoYing5, CHEN Jing6 & DENG Tao1 1 Institute of Tropical and Marine Meteorology, China Meteorological Adiministration, Guangzhou 510080, China; 2 Department of Atmospheric Science, School of Physics, Peking University, Beijing 100871, China; 3 National Center for Atmospheric Research, Boulder, CO, 80303, USA; 4 School of Environmental Science, Peking University, Beijing 100871, China; 5 Guangdong Meteorological Observatory, Guangzhou 510080, China; 6 Department of Atmospheric Science, School of Environmental Science and Engineer, Sun Yat-sen University, Guangzhou 510275, China.  Science in China(Series D:Earth Sciences).2009(08)
  • [9].Modelling secondary organic aerosols in China[J]. Qi Chen,Tzung-May Fu,Jianlin Hu,Qi Ying,Lin Zhang.  National Science Review.2017(06)
  • [10].Characteristics of trace metals in marine aerosols and their source identification over the Southern Ocean[J]. ZHAO Shuhui,CHEN Liqi,LIN Hongmei.  Advances in Polar Science.2015(03)
  • 论文详细介绍

    论文作者分别是来自Journal of Environmental Sciences的,发表于刊物Journal of Environmental Sciences2019年02期论文,是一篇关于,Journal of Environmental Sciences2019年02期论文的文章。本文可供学术参考使用,各位学者可以免费参考阅读下载,文章观点不代表本站观点,资料来自Journal of Environmental Sciences2019年02期论文网站,若本站收录的文献无意侵犯了您的著作版权,请联系我们删除。

    标签:;  

    :Estimation and inter-comparison of dust aerosols based on MODIS, MISR and AERONET retrievals over Asian desert regions论文
    下载Doc文档

    猜你喜欢