Synergistic Approach for the Aerosol Monitoring and Identification of Types over Indo-Gangetic Basin in Pre-Monsoon Season

Mishra, Amit Kumar; Shibata, Takashi; Srivastava, Arun

doi:10.4209/aaqr.2013.03.0083

Cited by 9 publications

(2 citation statements)

References 66 publications

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“…High atmospheric pollution in this region is not only due to emissions from an increased use of fossil fuel in transportation and the industrial sector, but also due to a high dependence on biomass being used mainly for cooking in the residential sector [5,6]. In addition, the burning of crop residue (rice and wheat) in the field has significantly contributed to the high level of aerosols during the post monsoon and pre monsoon seasons in the IGP [7][8][9][10][11]. Furthermore, the unique topographic features of the IGP with the Hindu Kush Himalayan range to the north, moderate hills in the south, Thar desert and Arabian sea to the west, and the Bay of Bengal to the east, in combination with rapidly increasing anthropogenic aerosol loading in the region and mineral dust from the Thar desert, has resulted in an alarming increase in aerosol loading in this region [1].…”

Section: Introductionmentioning

confidence: 99%

Development of a Regression Model for Estimating Daily Radiative Forcing Due to Atmospheric Aerosols from Moderate Resolution Imaging Spectrometers (MODIS) Data in the Indo Gangetic Plain (IGP)

2018

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The assessment of direct radiative forcing due to atmospheric aerosols (ADRF) in the Indo Gangetic Plain (IGP), which is a food basket of south Asia, is important for measuring the effect of atmospheric aerosols on the terrestrial ecosystem and for assessing the effect of aerosols on crop production in the region. Existing comprehensive analytical models to estimate ADRF require a large number of input parameters and high processing time. In this context, here, we develop a simple model to estimate daily ADRF at any location on the surface of the IGP through multiple regressions of AErosol RObotic NETwork (AERONET) aerosol optical depth (AOD) and atmospheric water vapour using data from 2002 to 2015 at 10 stations in the IGP. The goodness of fit of the model is indicated by an adjusted R2 value of 0.834. The Jackknife method of deleting one group (station data) was employed to cross validate and study the stability of the regression model. It was found to be robust with an adjusted R2 fluctuating between 0.813 and 0.842. In order to use the year-round ADRF model for locations beyond the AERONET stations in the IGP, AOD, and atmospheric water vapour products from MODIS Aqua and Terra were compared against AERONET station data and they were found to be similar. Using MODIS Aqua and Terra products as input, the year-round ADRF regression was evaluated at the IGP AERONET stations and found to perform well with Pearson correlation coefficients of 0.66 and 0.65, respectively. Using ADRF regression model with MODIS inputs allows for the estimation of ADRF across the IGP for assessing the aerosol impact on ecosystem and crop production.

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Section: Introductionmentioning

confidence: 99%

Development of a Regression Model for Estimating Daily Radiative Forcing Due to Atmospheric Aerosols from Moderate Resolution Imaging Spectrometers (MODIS) Data in the Indo Gangetic Plain (IGP)

2018

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“…To make such operational systems robust, there is a need to evaluate and refine fire-aerosol relationships in multiple regions. Specific to Asia, most of the biomass burning aerosols are often mixed from fossil fuel combustion and dust emissions (Kaskaoutis et al 2009, Bucci et al 2014, Mishra et al 2014. In such a context, an important question to address is 'how much of the AOD increase is due to biomass burning and how well do satellite fire retrievals explain AOD variation?…”

Section: Introductionmentioning

confidence: 99%

Vegetation fires, absorbing aerosols and smoke plume characteristics in diverse biomass burning regions of Asia

Vadrevu

Lasko

Giglio

et al. 2015

Environ. Res. Lett.

110

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In this study, we explored the relationships between the satellite-retrieved fire counts (FC), fire radiative power (FRP) and aerosol indices using multi-satellite datasets at a daily time-step covering ten different biomass burning regions in Asia. We first assessed the variations in MODIS-retrieved aerosol optical depths (AOD's) in agriculture, forests, plantation and peat land burning regions and then used MODIS FC and FRP (hereafter FC/FRP) to explain the variations in AOD characteristics. Results suggest that tropical broadleaf forests in Laos burn more intensively than the other vegetation fires. FC/FRP-AOD correlations in different agricultural residue burning regions did not exceed 20% whereas in forest regions they reached 40%. To specifically account for absorbing aerosols, we used Ozone Monitoring Instrument-derived aerosol absorption optical depth (AAOD) and UV aerosol index (UVAI). Results suggest relatively high AAOD and UVAI values in forest fires compared with peat and agriculture fires. Further, FC/FRP could explain a maximum of 29% and 53% of AAOD variations, whereas FC/FRP could explain at most 33% and 51% of the variation in agricultural and forest biomass burning regions, respectively. Relatively, UVAI was found to be a better indicator than AOD and AAOD in both agriculture and forest biomass burning plumes. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations data showed vertically elevated aerosol profiles greater than 3.2-5.3 km altitude in the forest fire plumes compared to 2.2-3.9 km and less than 1 km in agriculture and peat-land fires, respectively. We infer the need to assimilate smoke plume height information for effective characterization of pollutants from different sources.

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A Study of Optical and Microphysical Properties of Atmospheric Brown Clouds Over the Indo-Gangetic Plains

Jangid

Chaubey

Mishra

2019

Energy, Environment, and Sustainability

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Synergistic Approach for the Aerosol Monitoring and Identification of Types over Indo-Gangetic Basin in Pre-Monsoon Season

Cited by 9 publications

References 66 publications

Development of a Regression Model for Estimating Daily Radiative Forcing Due to Atmospheric Aerosols from Moderate Resolution Imaging Spectrometers (MODIS) Data in the Indo Gangetic Plain (IGP)

Development of a Regression Model for Estimating Daily Radiative Forcing Due to Atmospheric Aerosols from Moderate Resolution Imaging Spectrometers (MODIS) Data in the Indo Gangetic Plain (IGP)

Vegetation fires, absorbing aerosols and smoke plume characteristics in diverse biomass burning regions of Asia

A Study of Optical and Microphysical Properties of Atmospheric Brown Clouds Over the Indo-Gangetic Plains

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