Classification of MODIS fire emission data based on aerosol absorption Angstrom exponent retrieved from AERONET data

被引:1
|
作者
Ningombam, Shantikumar S. [1 ]
Khatri, Pradeep [2 ]
Larson, E. J. L. [3 ]
Dumka, Umesh Chandra [4 ]
Sarangi, Chandan [5 ]
Vineeth, R. [5 ]
机构
[1] Indian Inst Astrophys, Bangalore, India
[2] Tohoku Univ, Ctr Atmospher & Ocean Studies CAOS, Grad Sch Sci, Sendai, Japan
[3] Univ Colorado, Boulder, CO 80309 USA
[4] Aryabhatta Res Inst Observat Sci ARIES, Naini Tal, India
[5] Indian Inst Technol Madras, Dept Civil Engn, Chennai, India
关键词
Biomass burning; Aerosol optical depth; Absorption angstrom exponent; Fire-radiative; Heating rate; BIOMASS BURNING EMISSIONS; HIGH-ALTITUDE STATION; OPTICAL-PROPERTIES; LIGHT-ABSORPTION; BROWN CARBON; FOREST-FIRES; BLACK CARBON; IMPACT; TRANSPORT; PRECIPITATION;
D O I
10.1016/j.scitotenv.2022.159898
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Biomass burning emits a large quantity of gaseous pollutants and aerosols into the atmosphere, which perturbs the regional and global climate and has significant impacts on air quality and human health. In order to understand the temporal and spatial distributions of biomass burning and its contribution to aerosol optical and radiative impacts, we examined fire emis-sion data and its contribution to aerosol optical and radiative impacts over six major hot-spot continents/sub-continents across the globe, namely North-Central (NC) Africa, South America, US-Hawaii, South Asia, South East Asia, and Australia-New Zealand, using long-term satellites, ground-based and re-analysis data during 2000-2021. The selected six sites contributed & SIM;70% of total global fire data. The classification of biomass burning, such as pre, active, and post burning phases, was performed based on the Absorption Angstrom Exponent (AAE) estimated from 55 AERONET (AErosol RObotic NETwork) stations. The study found the highest contribution of fire count (55 %) during the active burning phase followed by post (36 %) and pre (8 %) burning phases. Such high fire counts were associated with high absorption aerosol optical depth (AAOD) during the active fire event. Strong dominance of fine and coarse mode mixed aerosols were also observed during active and post fire regimes. High AAOD and low Extinction Angstrom Exponent (EAE) over NC Africa during the fire events suggested presence of mineral dust mixed with biomass burning aerosols. Brightness temperature, fire radiative power and fire count were also dominated by the active burning followed by post and pre burning phases. The maximum heating rate of 3.15 K day(-1) was observed during the active fire events. The heating rate profile shows clear variations for three different fire regimes with the highest value of 1.80 K day-1 at & SIM;750 hPa altitude during the active fire event.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition
    Russell, P. B.
    Bergstrom, R. W.
    Shinozuka, Y.
    Clarke, A. D.
    DeCarlo, P. F.
    Jimenez, J. L.
    Livingston, J. M.
    Redemann, J.
    Dubovik, O.
    Strawa, A.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2010, 10 (03) : 1155 - 1169
  • [2] A comparison of CMAQ-based aerosol properties with IMPROVE, MODIS, and AERONET data
    Roy, Biswadev
    Mathur, Rohit
    Gilliland, Alice B.
    Howard, Steven C.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2007, 112 (D14)
  • [3] Daily and Seasonal Variation of Aerosol Optical Depth and Angstrom Exponent over Ethiopia using MODIS Data
    Eshet, Asmarech
    Raju, U. Jaya Prakash
    POLLUTION, 2022, 8 (01): : 315 - 329
  • [4] Classification of aerosol properties derived from AERONET direct sun data
    Gobbi, G. P.
    Kaufman, Y. J.
    Koren, I.
    Eck, T. F.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2007, 7 : 453 - 458
  • [5] Reduction of aerosol absorption in Beijing since 2007 from MODIS and AERONET
    Lyapustin, A.
    Smirnov, A.
    Holben, B.
    Chin, M.
    Streets, D. G.
    Lu, Z.
    Kahn, R.
    Slutsker, I.
    Laszlo, I.
    Kondragunta, S.
    Tanre, D.
    Dubovik, O.
    Goloub, P.
    Chen, H. -B.
    Sinyuk, A.
    Wang, Y.
    Korkin, S.
    GEOPHYSICAL RESEARCH LETTERS, 2011, 38
  • [6] Improving aerosol retrieval accuracy by integrating AERONET, MISR and MODIS data
    Xu, QF
    Obradovic, Z
    Han, B
    Li, Y
    Braverman, A
    Vucetic, S
    2005 7TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), VOLS 1 AND 2, 2005, : 654 - 660
  • [7] Validation of SeaWiFS and MODIS aerosol products with globally distributed AERONET data
    Melin, F.
    Clerici, M.
    Zibordi, G.
    Holben, B. N.
    Smirnov, A.
    REMOTE SENSING OF ENVIRONMENT, 2010, 114 (02) : 230 - 250
  • [8] Application of MODIS Aerosol Data for Aerosol Type Classification
    Lee, Dong Ha
    Lee, Kwon Ho
    Kim, Young Joon
    KOREAN JOURNAL OF REMOTE SENSING, 2006, 22 (06) : 495 - 505
  • [9] First measurements of aerosol optical depth and Angstrom exponent number from AERONET's Kuching site
    Salinas, Santo V.
    Chew, Boon N.
    Mohamad, M.
    Mahmud, M.
    Liew, Soo C.
    ATMOSPHERIC ENVIRONMENT, 2013, 78 : 231 - 241
  • [10] Variability of aerosol optical depth and Angstrom wavelength exponent derived from AERONET observations in recent decades
    Xia, Xiangao
    ENVIRONMENTAL RESEARCH LETTERS, 2011, 6 (04):