Examining mineral dust transport over the Indian subcontinent using the regional climate model, RegCM4.1

Das, Someshwar; Dey, Sagnik; Dash, S. K.; Basil, George

doi:10.1016/j.atmosres.2013.07.019

Cited by 58 publications

(37 citation statements)

References 78 publications

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“…The model has been utilized to study dust transport over the Indian monsoon region at four size bins (in the range 0.01-20 um) recently (Das et al 2013). The space-time variation and vertical distribution of dust were simulated reasonably well near the major source regions, while absence of an inventory of local dust (viz.…”

Section: Regcm and Experimentsmentioning

confidence: 99%

Impacts of aerosols on dynamics of Indian summer monsoon using a regional climate model

2014

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Section: Regcm and Experimentsmentioning

confidence: 99%

Impacts of aerosols on dynamics of Indian summer monsoon using a regional climate model

2014

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“…The model captures the spatial variability of wind field and precipitation reasonably well, but with a high bias in 850 hPa wind over the AS and high bias in monsoon precipitation over the BoB. This may lead to a high bias in f d,f over the AS and BoB during the premonsoon and monsoon seasons, respectively, that is estimated by the ratio of τ d simulated using the first two size bins and all four bins (Das et al, 2013).…”

Section: Hybrid Approachmentioning

confidence: 99%

“…Dust emission results from saltation causing horizontal flux and sand blasting, which creates a vertical flux of dust into the atmosphere depending on the wind strength. Dust loading is calculated at four size bins ranging from 0.1 to 1.0 µm, 1.0 to 2.5 µm, 2.5 to 5.0 µm and 5.0 to 20 µm (Das et al, 2013). The soil textures are taken from United States Department of Agriculture data set.…”

Section: Hybrid Approachmentioning

confidence: 99%

Inter‐annual variations in natural and anthropogenic aerosol loadings over the seas adjoining India using a hybrid approach

Das

Dey

Dash

2013

Atmospheric Science Letters

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We report the inter-annual variations of natural and anthropogenic aerosol loading over the Arabian Sea (AS) and Bay of Bengal (BoB) for the period 2001-2010 using a hybrid approach. Mean (±1 standard deviation) decadal contributions of maritime, dust and anthropogenic aerosols to aerosol optical depth, τ are 16.6 ± 4.2 and 17.5 ± 4.6%, 44.3 ± 22.6 and 37.4 ± 20% and 39 ± 23.4 and 45 ± 20.5%, respectively, over the AS and BoB. Significant increase in τ (>0.007 or 2.3% per year) is mainly driven by anthropogenic aerosols. The results can be used for improved estimates of aerosol radiative forcing in these regions.

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“…It may also result from a bias in sampling 'clear sky' for aerosol retrieval by both passive ground-based radiometers (like AERONET, Holben et al, 1998) and sensors onboard satellites. Climate model simulations (e.g., Das et al, 2013) and data from active sensors (e.g., Winker et al, 2010) have shown that aerosol load may be equally high also in 'cloudy sky' condition, when passive sensors cannot detect aerosols. Peak rainfall during 24-hr period shows strong spatial variation over India (Sahanay et al, 2010), which implies that the recovery time for the aerosol field after a rainfall event also varies spatially.…”

Section: Introductionmentioning

confidence: 99%

Satellite-Based Estimates of Aerosol Washout and Recovery over India during Monsoon

Chowdhury

Dey

Ghosh

et al. 2016

Aerosol Air Qual. Res.

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Large aerosol optical depth (AOD) observed over the Indian subcontinent during the monsoon season in the satellite data challenges the common notion of aerosol washout by monsoon rain. Here, we examined recovery of aerosol field after washout by monsoon rain over various rainfall homogeneous zones of India in view of the duration of rainfall, recovery time and source strength. Mean (± 1 standard deviation) seasonal aerosol optical depth, AOD is highest over the central northeast 1 (0.74 ± 0.22) followed by central northeast 2 (0.60 ± 0.11), northwest (0.61 ± 0.15), west-central (0.54 ± 0.13), northeast (0.29 ± 0.08), peninsular India (0.39 ± 0.07) and hilly region (0.33 ± 0.08) in the monsoon season. Post-washout aerosol recovery in India is not a linear function to the recovery period relative to the two successive satellite overpasses. Fastest recovery is observed in the central northeast region dominated by anthropogenic emission. In general, washout is more for 9-hour spell than 3-hour spell, but not spatially uniform over the various rainfall homogeneous zones. In central northeast region it is observed that updraft plays an important role in post precipitation aerosol build up whereas in dustdominated northwest India, monsoon rainfall (whenever occurs) suppresses dust emission because of the increased soil moisture and therefore inhibits the recovery. The number of grids where washout outweighs recovery during the monsoon season for a 3-hour rainfall increases by 5.6% with an increase in rain rate from < 2 mm day -1 to > 4 mm day -1 , while the corresponding increase for a 9-hour rainfall event is 2.8%. AOD reduces in 'cloudy-sky' condition relative to 'clear-sky' condition because aerosols are scavenged by cloud drops as the clouds grow vertically during the monsoon. Quantitatively, AOD decreases by 16% per 100 hPa increase in cloud base height.

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Examining mineral dust transport over the Indian subcontinent using the regional climate model, RegCM4.1

Cited by 58 publications

References 78 publications

Impacts of aerosols on dynamics of Indian summer monsoon using a regional climate model

Impacts of aerosols on dynamics of Indian summer monsoon using a regional climate model

Inter‐annual variations in natural and anthropogenic aerosol loadings over the seas adjoining India using a hybrid approach

Satellite-Based Estimates of Aerosol Washout and Recovery over India during Monsoon

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