Strategy for studying nocturnal aerosol optical depth using artificial lights

被引:36
|
作者
Zhang, J. [1 ]
Reid, J. S. [2 ]
Miller, S. D. [3 ]
Turk, F. J. [2 ]
机构
[1] Univ N Dakota, Grand Forks, ND USA
[2] USN, Res Lab, Monterey, CA USA
[3] Colorado State Univ, CIRA, Ft Collins, CO 80523 USA
关键词
D O I
10.1080/01431160802020528
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In this concept study, we develop a strategy for the monitoring of nighttime aerosol particle optical properties over land using artificial lights on the earth's surface. We demonstrate the possibility of detecting significant aerosol events and deriving variations in aerosol optical depth using the operational linescan system (OLS) on defence meteorological satellite program (DMSP) platforms. Since the OLS instruments have no on-board calibration, only a qualitative study of the potential to estimate aerosol and cloud properties using city lights at night is shown in this paper. The technique is demonstrated using China and India as test regions. With the launch of the visible/infrared imager/radiometer suite (VIIRS) instrument on the national polar-orbiting operational environmental satellite system (NPOESS) in the coming decade, fully quantitative retrieval of nighttime aerosol particle optical properties from space observations using such methods will become possible. Such work will benefit aerosol forecasting, safety of navigation, aerosol data assimilation and climate studies.
引用
收藏
页码:4599 / 4613
页数:15
相关论文
共 50 条
  • [31] Variability of aerosol optical depth and aerosol forcing over India
    Sarkar, S.
    Changamwong, R.
    Cervone, G.
    Singh, R. P.
    Kafatos, M.
    ATMOSPHERIC REMOTE SENSING: EARTH'S SURFACE, TROPOSPHERE, STRATOSPHERE AND MESOSPHERE - II, 2006, 37 (12): : 2153 - 2159
  • [32] Quantitative Aerosol Optical Depth Detection during Dust Outbreaks from Meteosat Imagery Using an Artificial Neural Network Model
    Kolios, Stavros
    Hatzianastassiou, Nikos
    REMOTE SENSING, 2019, 11 (09)
  • [33] Studying the aerosol fluxes by using the floating aerosol trap
    V. A. Chechko
    V. Yu. Kurchenko
    Russian Meteorology and Hydrology, 2008, 33 : 739 - 742
  • [34] Studying the aerosol fluxes by using the floating aerosol trap
    Chechko, V. A.
    Kurchenko, V. Yu.
    RUSSIAN METEOROLOGY AND HYDROLOGY, 2008, 33 (11) : 739 - 742
  • [35] Comparison and Analysis of CALIPSO Aerosol Optical Depth and AERONET Aerosol Optical Depth Products in Asia from 2006 to 2023
    Zhao, Yinan
    Tang, Qingxin
    Hu, Zhenting
    Yu, Quanzhou
    Liang, Tianquan
    REMOTE SENSING, 2024, 16 (23)
  • [36] How aerosol size matters in aerosol optical depth (AOD) assimilation and the optimization using the Angstrom exponent
    Jin, Jianbing
    Henzing, Bas
    Segers, Arjo
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2023, 23 (02) : 1641 - 1660
  • [37] Aerosol Optical Depth Estimation in Doha Using a Multifilter Rotating Shadowband Radiometer
    Bachour, Dunia
    Perez-Astudillo, Daniel
    Sanfilippo, Antonio
    SUSTAINABLE ENERGY-WATER-ENVIRONMENT NEXUS IN DESERTS, 2022, : 489 - 494
  • [38] On the retrieval of aerosol optical depth over cryosphere using passive remote sensing
    Mei, Linlu
    Vandenbussche, Sophie
    Rozanov, Vladimir
    Proestakis, Emmanouil
    Amiridis, Vassilis
    Callewaert, Sieglinde
    Vountas, Marco
    Burrows, John P.
    REMOTE SENSING OF ENVIRONMENT, 2020, 241
  • [39] Variability of aerosol optical depth over Indian subcontinent using modis data
    Prasad A.K.
    Singh R.P.
    Singh A.
    Journal of the Indian Society of Remote Sensing, 2004, 32 (4) : 313 - 316
  • [40] AEROSOL OPTICAL DEPTH RETRIEVAL OVER ARCTIC REGION USING AATSR DATA
    Mei, Linlu
    Istomina, Larysa
    von Hoyningen-Huene, Wolfgang
    Xue, Yong
    Kokhanovsky, Alexander A.
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 2556 - 2559