Multi-year observations of the spatial and vertical distribution of aerosols and the genesis of abnormal variations in aerosol loading over the Arabian Sea during Asian summer monsoon season

Prijith, S. S.; Rajeev, K.; Thampi, Bijoy V.; Nair, Sandhya K.; Mohan, Madan

doi:10.1016/j.jastp.2013.09.009

Cited by 49 publications

(32 citation statements)

References 38 publications

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“…As the spectral surface reflectance over land is highly heterogeneous, separate algorithms are used for the retrieval of aerosol parameters from MODIS data over ocean and land (Remer et al, 2005). Owing to the relatively stable and homogeneous reflectance of the ocean surface, the accuracy of AOD derived from the MODIS data over the ocean is better than that over land (Prijith et al, 2013). The MODIS-derived quality assured Level-3 (1° × 1°) gridded daily clear sky mean AOD (at 0.55 μm) and fine mode fraction (FMF) from Collection 051 provided by NASA are used here.…”

Section: Moderate Resolution Imaging Spectroradiometermentioning

confidence: 99%

“…CALIPSO is used to obtain the vertical distribution of aerosol over various regions of the Indian subcontinent (Mishra and Shibata, 2012a, b;Prijith et al, 2013). It is the first lidar [Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP)] satellite to measure aerosol and cloud properties.…”

Section: Cloud-aerosol Lidar and Infrared Pathfinder Satellite Observmentioning

confidence: 99%

“…Aerosol loading over AS shows a strong seasonal variation which is highly influenced by dust storms, coming mainly from the Middle East and southwest Asia during pre-monsoon and monsoon seasons (Babu et al, 2008;Dey and di Girolamo, 2010;Kaskaoutis et al, 2011;Prijith et al, 2013;Kaskaoutis et al, 2014 and reference therein). However, during post-monsoon and winter season it is influenced by Asian outflow (mainly from anthropogenic sources) by long range transportation.…”

Section: Introductionmentioning

confidence: 99%

“…However, during post-monsoon and winter season it is influenced by Asian outflow (mainly from anthropogenic sources) by long range transportation. Recently, Prijith et al (2013) reported that AS experienced largest aerosol loading in the month of July (> 0.8) due to the transport from the western Asian desert region. Similar results are also reported by Nair et al (2005) over AS.…”

Section: Introductionmentioning

confidence: 99%

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Aerosol Climatology over the Bay of Bengal and Arabian Sea Inferred from Space-Borne Radiometers and Lidar Observations

Tiwari

Mishra

Singh

2016

Aerosol Air Qual. Res.

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Atmospheric aerosols over the oceanic region are very important air pollutant and play a vital role in Earth's radiation budget and climate change. This study presents the aerosol climatology over the Bay of Bengal (BoB) and Arabian sea (AS) using long term (2006)(2007)(2008)(2009)(2010)(2011)(2012) data from space-borne radiometers [Moderate-Resolution Imaging Spectroradiometer (MODIS), Ozone Monitoring Instrument (OMI)] and space-based active lidar onboard Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO). AS experiences higher AOD as compared to that over BoB during the study period. A good periodicity along with strong intra-seasonal/annual variability in aerosol loading is also observed over both the study regions. Approximately one month lag is found for maximum aerosol loading period over AS and BoB for almost every year i.e., June-July for AS and May-June for BoB. This lag could be explained by pathway and timing of summer monsoon over the Indian subcontinent. Elevated layers of absorbing dust up to 2-4 km altitudes are observed during the pre-monsoon and monsoon seasons over both the regions. The CALIPSO measurements show strong seasonal heterogeneity in aerosol properties over both the regions, which is well corroborated with MODIS and OMI observations. This significant seasonal heterogeneity in aerosol loading has been explained by the role of transportation of aerosols from various emission sources using NOAA HYSPLIT back trajectory model at three different altitude levels viz. 500, 1500 and 2500 m height. The possible role of Indian summer monsoon in modulating the aerosol behaviour over AS and BoB is another important aspect of this study that need further analyses using higher spatio-temporal resolution data.

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Section: Moderate Resolution Imaging Spectroradiometermentioning

confidence: 99%

Section: Cloud-aerosol Lidar and Infrared Pathfinder Satellite Observmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Aerosol Climatology over the Bay of Bengal and Arabian Sea Inferred from Space-Borne Radiometers and Lidar Observations

Tiwari

Mishra

Singh

2016

Aerosol Air Qual. Res.

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“…India is an ideal region to study aerosol-cloud interaction due to significant spatiotemporal variations in aerosol and cloud characteristics. Desert dust, mainly transported from Africa, Arabian Peninsula and adjacent Thar Desert, is the most frequent aerosols present over the Indian sub-continent during pre-monsoon and monsoon seasons (Prijith et al, 2013;Kaskaoutis et al, 2014). Generation and advection of dust aerosols depends on the weather conditions and the strength of the monsoon circulation (Manoj et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Dust Induced Changes in Ice Cloud and Cloud Radiative Forcing over a High Altitude Site

Patel

Kumar

2016

Aerosol Air Qual. Res.

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Aerosol-cloud interaction is the subject of considerable scientific research, due to the importance of clouds in controlling climate. In the present study, three years (2011)(2012)(2013) satellite observations are used to investigate the aerosol indirect effect (AIE) over Dehradun. The low values of Angstrom exponent (α) during March-July are attributed to the loading of dust-like coarse particles in the atmosphere, whereas the analysis of aerosol type and Spectral Radiation Transport Model for Aerosol species (SPRINTARS) simulated aerosol species variation supports the fact. Moderate Resolution Imaging Spectroradiometer (MODIS) derived AOD data are associated to the cloud product to examine the dust impact on properties of liquid cloud and ice cloud. The positive values of aerosol cloud interaction effect (ACI) for ice cloud during pre-monsoon (March-May) and monsoon (June-August) seasons reveal the significant impact of dust on ice clouds over Dehradun, which is maximum during May (~0.24 ± 0.05). The present study shows that ice cloud effective radius (ICER) decrease with AOD during dust period. The increase in ice water path (IWP) and ice cloud optical depth (ICOD) reveals the impact of dust on heterogeneous ice generation in low level clouds. However, there is no relation between dust and liquid water cloud during dust period. It is difficult to provide definite conclusions that the dust and cloud changes are driven by the same meteorological conditions. Cloud and the Earth's Radiant Energy System (CERES) derived flux data are used to examine the associated changes in TOA cloud radiative forcing. The diminution in effective size of ice crystal due to aerosol first indirect effect traps more longwave radiation and reflects more solar radiation. Both first and second indirect effects enhance cloud cooling, whereas the dust induced cloud warming is mainly the result of the semi-direct effect.

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In situ measured seasonal characteristics of near‐surface aerosols over Bay of Bengal and MODIS‐retrieved columnar properties: A multicampaign analysis

et al. 2015

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Seasonal changes in near‐surface aerosol mass loading and their chemical characteristics over the marine environment of Bay of Bengal (BoB) have been investigated, based on the ship‐based experiments carried out as part of three major field campaigns in premonsoon, winter, and monsoon seasons. These spatiotemporal properties of in situ measured near‐surface aerosols were compared with the columnar aerosol optical depth (AOD), Angstrom exponent, effective radius, mass concentration, fine‐mode AOD, and large‐mode AOD retrieved by Moderate Resolution Imaging Spectroradiometer (MODIS). The spatial heterogeneity in the chemical nature of aerosols for the three contrasting seasons has been addressed. In all the seasons, BoB is found to be polluted by anthropogenic aerosols as revealed by their chemical composition. North BoB exhibits highest near‐surface aerosol loading, columnar AOD, and aerosol mass concentration irrespective of the season. While the high AOD in winter is due to fine‐mode anthropogenic aerosols, that in monsoon is due to large‐sized sea‐salt aerosols. The fine‐mode AOD over BoB contributes 45% in monsoon, 69% in premonsoon, and 73% in winter. The column AOD in winter and premonsoon is ~50% of its monsoonal value. The e‐fold scale distances of total aerosol mass loading and those of various chemical species over BoB are also investigated. The column mass concentration has been estimated from the in situ measured near‐surface aerosol mass loading and compared with that retrieved from MODIS. Regions where low near‐surface aerosol mass loading was observed; the satellite‐retrieved columnar loading was found to be overestimated suggesting seasonal and regional differences in scale height.

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Multi-year observations of the spatial and vertical distribution of aerosols and the genesis of abnormal variations in aerosol loading over the Arabian Sea during Asian summer monsoon season

Cited by 49 publications

References 38 publications

Aerosol Climatology over the Bay of Bengal and Arabian Sea Inferred from Space-Borne Radiometers and Lidar Observations

Aerosol Climatology over the Bay of Bengal and Arabian Sea Inferred from Space-Borne Radiometers and Lidar Observations

Dust Induced Changes in Ice Cloud and Cloud Radiative Forcing over a High Altitude Site

In situ measured seasonal characteristics of near‐surface aerosols over Bay of Bengal and MODIS‐retrieved columnar properties: A multicampaign analysis

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