Dust Detection and Aerosol Properties Over Arabian Sea Using MODIS Data

被引:12
|
作者
Singh, Jyotsna [1 ]
Noh, Yoo-Jeong [2 ]
Agrawal, Shefali [1 ]
Tyagi, Bhishma [3 ]
机构
[1] Indian Space Res Org, Dept Space, Indian Inst Remote Sensing, Dehra Dun, Uttarakhand, India
[2] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA
[3] Natl Inst Technol Rourkela, Dept Earth & Atmospher Sci, Rourkela 769008, India
关键词
Dust detection; BT difference; Dust aerosol properties; MODIS; Arabian Sea; SOURCE AREAS; IDENTIFICATION; STORMS; DIFFERENCE; TRANSPORT; SEDIMENTS; EVENTS; LAND;
D O I
10.1007/s41748-018-0079-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The present study deals with the use of Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared bands in the dust detection. Eight dust storm cases over the Arabian Sea have been selected (four TERRA and four AQUA) during the year 2002-2008. The brightness temperature (BT) difference method has been applied on MODIS thermal bands 29 (8 mu m), 31 (11 mu m) and 32 (12 mu m) to detect dust storms over the Arabian Sea. The performance assessment of BT differences (BT29-BT31 and BT31-BT32) has shown that BT31-BT32 has performed better to BT29-BT31. We suggest that BT31-BT32 is an effective combination of MODIS bands for dust detection over oceans and sea. The maximum (Dmax) and minimum dust (Dmin) intensity locations have also been identified in all the eight dust storm cases. The aerosol properties (aerosol optical thickness, tau; asymmetry factor g and Angstrom exponent alpha) over Dmax and Dmin have been studied using MODIS Level 2 data. In AQUA dust storms cases tau values (Dmax) were higher than TERRA dust cases, whereas g values were nearly same. The alpha was always positive in case of TERRA dust cases; however in AQUA negative alpha was also reported. Afternoon dust storms are more intense compared to forenoon dust storms and dust particles are also coarser.
引用
收藏
页码:139 / 152
页数:14
相关论文
共 50 条
  • [31] An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data
    Xiao, Yan-Fang
    Zhang, Jie
    Qin, Ping
    JOURNAL OF COASTAL RESEARCH, 2019, : 95 - 103
  • [32] Latitudinal and longitudinal variation in aerosol characteristics from Sun photometer and MODIS over the Bay of Bengal and Arabian Sea during ICARB
    Sumita Kedia
    S. Ramachandran
    Journal of Earth System Science, 2008, 117 : 375 - 387
  • [33] Latitudinal and longitudinal variation in aerosol characteristics from Sun photometer and MODIS over the Bay of Bengal and Arabian Sea during ICARB
    Kedia, Sumita
    Ramachandran, S.
    JOURNAL OF EARTH SYSTEM SCIENCE, 2008, 117 (Suppl 1) : 375 - 387
  • [34] Regional trends of aerosol optical depth and their impact on cloud properties over Southern India using MODIS data
    Gopal, K. Rama
    Reddy, K. Raja Obul
    Balakrishnaiah, G.
    Arafath, S. M. D.
    Reddy, N. Siva Kumar
    Rao, T. Chakradhar
    Reddy, T. Lokeswara
    Reddy, R. Ramakrishna
    JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2016, 146 : 38 - 48
  • [35] A COMPARISON OF EMPIRICAL AND INTELIGENT METHODS FOR DUST DETECTION USING MODIS SATELLITE DATA
    Shahrisvand, M.
    Akhoondzadeh, M.
    SMPR CONFERENCE 2013, 2013, 40-1-W3 : 371 - 375
  • [36] The influence of dust storms on solar radiation data, aerosol properties and meteorological variables in Central Arabian Peninsula
    Maghrabi, A.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2017, 14 (08) : 1643 - 1650
  • [37] The influence of dust storms on solar radiation data, aerosol properties and meteorological variables in Central Arabian Peninsula
    A. Maghrabi
    International Journal of Environmental Science and Technology, 2017, 14 : 1643 - 1650
  • [38] DETECTION OF DAYTIME FOG IN SOUTH CHINA SEA USING MODIS DATA
    邓玉娇
    王捷纯
    曹静
    曹超雄
    JournalofTropicalMeteorology, 2014, 20 (04) : 386 - 390
  • [39] ANALYSIS OF MAIAC DUST AEROSOL RETRIEVALS FROM MODIS OVER NORTH AFRICA
    Lyapustin, A.
    Wang, Y.
    Hsu, C.
    Torres, O.
    Leptoukh, G.
    Kalashnikova, O.
    Korkin, S.
    ATTI ACCADEMIA PELORITANA DEI PERICOLANTI-CLASSE DI SCIENZE FISICHE MATEMATICHE E NATURALI, 2011, 89
  • [40] DETECTION OF DAYTIME FOG IN SOUTH CHINA SEA USING MODIS DATA
    Deng Yu-jiao
    Wang Jie-cun
    Cao Jing
    Cao Chao-xiong
    JOURNAL OF TROPICAL METEOROLOGY, 2014, 20 (04) : 386 - 390