On the Detection and Monitoring of the Transport of an Asian Dust Storm Using Multi-Sensor Satellite Remote Sensing

被引:19
|
作者
El-Askary, H. [1 ,2 ,3 ]
Park, S. K. [4 ,5 ,6 ,7 ]
Ahn, M. H. [5 ,6 ]
Prasad, A. [2 ]
Kafatos, M. [1 ,2 ]
机构
[1] Chapman Univ, Schmid Coll Sci & Technol, Orange, CA 92866 USA
[2] Chapman Univ, Ctr Excellence Earth Observing, Orange, CA 92866 USA
[3] Univ Alexandria, Dept Environm Sci, Alexandria 21522, Egypt
[4] Ewha Womans Univ, Dept Environm Sci & Engn, Seoul 120750, South Korea
[5] Ewha Womans Univ, Dept Atmospher Sci & Engn, Seoul 120750, South Korea
[6] Ewha Womans Univ, Severe Storm Res Ctr, Seoul 120750, South Korea
[7] Ewha Womans Univ, Ctr Climate Environm Change Predict Res, Seoul 120750, South Korea
基金
新加坡国家研究基金会; 美国国家科学基金会;
关键词
Asian dust storm; anthropogenic aerosols; aerosol optical depth; Angstrom exponent; multi-sensor satellite remote sensing; LONG-RANGE TRANSPORT; AEROSOL OPTICAL DEPTH; AFRICAN DUST; TROPOSPHERIC AEROSOLS; AIR-QUALITY; EAST-ASIA; CHINA; SEA; EVENTS; IMPACT;
D O I
10.3808/jei.201500306
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Dynamical and physical features of a long range transported dust event originating in China affecting Korea early March 2008 are examined using an integrative multi-sensor and multi-algorithm approach. Aerosol loadings and their size mode were analyzed over both ocean and land surfaces using the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD), employing standard dark target (DT) and deep blue (DB) algorithms, and the Angstrom exponent (AE). Anthropogenic absorbing aerosols and smoke were found to be significant over the Indochina Peninsula, the Philippines and southern China, while a mixture of dust and pollution were predominant over central to northern China, as identified by the AE analysis and the Multi-angle Imaging SpectroRadiometer (MISR) spherecitiy and plume height. Remarkable aerosol absorptions in both the near ultraviolet (UV) and the visible were spread over central, central western and northern China, probably due to aerosol mixtures including desert dust and industrial pollution as well as smoke from biomass burning as evidenced from the Ozone Monitoring Instrument (OMI). Long range transport is validated as dust storm reached up to 4-5 km vertically and a mixed cloud layer was identified over the Yellow Sea as disclosed by the vertical structure of dust aerosols as well as observed aerosols subtypes from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO). The real time detection and monitoring of the dust outbreak and its subsequent evolution are available through the infrared optical depth index (IODI), developed from the MTSAT-1R geostationary satellite imager.
引用
收藏
页码:99 / 116
页数:18
相关论文
共 50 条
  • [1] SATELLITE REMOTE SENSING OBSERVATIONS OF TRANS-ATLANTIC DUST TRANSPORT AND DEPOSITION: A MULTI-SENSOR ANALYSIS
    Yu, Hongbin
    Tan, Qian
    Chin, Mian
    Kim, Dongchul
    Zhang, Zhibo
    Song, Qianqian
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 5574 - 5577
  • [2] Multi-sensor satellite remote sensing of dust aerosols over North Africa during GERBILS
    Christopher, Sundar A.
    Gupta, Pawan
    Johnson, Ben
    Ansell, Catherine
    Brindley, Helen
    Haywood, Jim
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2011, 137 (658) : 1168 - 1178
  • [3] Remote sensing of UK snow covers using multi-sensor satellite imagery
    Kelly, R
    REMOTE SENSING AND HYDROLOGY 2000, 2001, (267): : 72 - 75
  • [4] Remote sensing of UK snow covers using multi-sensor satellite imagery
    Kelly, R.
    IAHS-AISH Publication, 2000, (267): : 72 - 75
  • [5] Multi-sensor satellite remote sensing images for flood assessment using swarm intelligence
    Senthilnath, J.
    Omkar, S. N.
    Mani, V.
    Prasad, Ram
    Rajendra, Ritwik
    Shreyas, P. B.
    2015 INTERNATIONAL CONFERENCE ON COGNITIVE COMPUTING AND INFORMATION PROCESSING (CCIP), 2015,
  • [6] Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days
    Lee, K. H.
    Kim, Y. J.
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2010, 3 (06) : 1771 - 1784
  • [7] Multi-sensor anomalous change detection in remote sensing imagery
    Ziemann, Amanda
    Ren, Christopher X.
    Theiler, James
    JOURNAL OF APPLIED REMOTE SENSING, 2021, 15 (04)
  • [8] Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data
    Zhang, Anzhi
    Jia, Gensuo
    REMOTE SENSING OF ENVIRONMENT, 2013, 134 : 12 - 23
  • [9] Drought monitoring in Burdur Lake, Turkey using multi-sensor remote sensing data sets
    Polat, Ahmet Batuhan
    Akcay, Ozgun
    Kontas, Fazli
    ADVANCES IN GEODESY AND GEOINFORMATION, 2024, 73 (01)
  • [10] Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data
    Rhee, Jinyoung
    Im, Jungho
    Carbone, Gregory J.
    REMOTE SENSING OF ENVIRONMENT, 2010, 114 (12) : 2875 - 2887