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Cited by 73Atmospheric aerosols and cloudsAtmospheric chemistry and aerosolsAeolian processes and effects

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Impact of Two Intense Dust Storms on Aerosol Characteristics and Radiative Forcing over Patiala, Northwestern India

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Sharma, Deepti, Singh, Darshan, Kaskaoutis, D. G.·2012·Advances in Meteorology
DOI 10.1155/2012/956814
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Abstract

Impact of dust storms on the aerosol characteristics and radiative forcing over Patiala, northwestern India has been studied during April-June of 2010 using satellite observations and ground-based measurements. Six dust events (DE) have been identified during the study period with average values of Aqua-MODIS AOD 550 and Microtops-II AOD 500 over Patiala as1.00±0.51and0.84±0.41, respectively while Aura-OMI AI exhibits high values ranging from 2.01 to 6.74. The Ångström coefficients α 380–870 and β range from 0.12 to 0.31 and 0.95 to 1.40, respectively. The measured spectral AODs, the OPAC-derived aerosol properties and the surface albedo obtained from MODIS were used as main inputs in SBDART model for the calculation of aerosol radiative forcing (ARF) over Patiala. The ARF at surface (SRF) and top of atmosphere (TOA) ranges from ∼−50 to −100 Wm−2 and from ∼−10 to −25 Wm−2, respectively during the maximum of dust storms. The radiative forcing efficiency was found to be −66 Wm−2 AOD−1 at SRF and −14 Wm−2 AOD−1 at TOA. High values of ARF in the atmosphere (ATM), ranging between ∼+40 Wm−2 and +80.0 Wm−2 during the DE days, might have significant effect on the warming of the lower and middle atmosphere and, hence, on climate over northwestern India.

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Figures

Figure 1 Site map for Patiala city (30.33 ◦ N, 76.4 ◦ E, 249 m a.s.l) in northwestern India.
Figure 1 Site map for Patiala city (30.33 ◦ N, 76.4 ◦ E, 249 m a.s.l) in northwestern India.CC-BY · From the PDF
Figure 2 Day-to-day variation of the meteorological parameters (maximumtemperature, relative humidity, wind speed) over Patiala during pre-monsoon season (April-June) of 2010.
Figure 2 Day-to-day variation of the meteorological parameters (maximumtemperature, relative humidity, wind speed) over Patiala during pre-monsoon season (April-June) of 2010.CC-BY · From the PDF
Figure 3 Five-days air mass back-trajectories ending at Patiala (HYSPLIT model) at three different altitudes, 500 m, 1500 m, and 4000 m, on the six dusty days (see Table 1).
Figure 3 Five-days air mass back-trajectories ending at Patiala (HYSPLIT model) at three different altitudes, 500 m, 1500 m, and 4000 m, on the six dusty days (see Table 1).CC-BY · From the PDF
Figure 4 Correlation of Aqua-MODIS AOD550 versus Microtops-II AOD550 at the same hour of the Aqua overpass over Patiala during pre-monsoon season (April-June) of 2010.
Figure 4 Correlation of Aqua-MODIS AOD550 versus Microtops-II AOD550 at the same hour of the Aqua overpass over Patiala during pre-monsoon season (April-June) of 2010.CC-BY · From the PDF
Figure 5 Spectral variation of Microtops-II AOD during the six DE.
Figure 5 Spectral variation of Microtops-II AOD during the six DE.CC-BY · From the PDF
Figure 6 Spatial distribution of OMI-AI (a, b) and Aqua-MODIS AOD550 (c, d) over India during the two intense DE, 21 April 2010 (a, c) and 28 May 2010 (b, d).
Figure 6 Spatial distribution of OMI-AI (a, b) and Aqua-MODIS AOD550 (c, d) over India during the two intense DE, 21 April 2010 (a, c) and 28 May 2010 (b, d).CC-BY · From the PDF
Figure 7 Scatter plot of α 380 -440α 675 -870 versus AOD500 (a), and day-to-day variation of the difference α 380 -440α 675 -870 during the premonsoon season of 2010 (b).
Figure 7 Scatter plot of α 380 -440α 675 -870 versus AOD500 (a), and day-to-day variation of the difference α 380 -440α 675 -870 during the premonsoon season of 2010 (b).CC-BY · From the PDF
Figure 8 Spectral variation of OPAC-derived SSA values during dusty days over Patiala.
Figure 8 Spectral variation of OPAC-derived SSA values during dusty days over Patiala.CC-BY · From the PDF
Figure 9 Variation of aerosol radiative forcing values at SRF, TOA and ATM during dusty days over Patiala during the pre-monsoon season of 2010.
Figure 9 Variation of aerosol radiative forcing values at SRF, TOA and ATM during dusty days over Patiala during the pre-monsoon season of 2010.CC-BY · From the PDF
Figure 10 Same as in Figure 9, but for the maximum instantaneous ARF values.
Figure 10 Same as in Figure 9, but for the maximum instantaneous ARF values.CC-BY · From the PDF
Figure 11 Correlation between AOD500 with ARF values at TOA, SRF and ATM. The slope of the regressions defines the radiative forcing efficiency.
Figure 11 Correlation between AOD500 with ARF values at TOA, SRF and ATM. The slope of the regressions defines the radiative forcing efficiency.CC-BY · From the PDF
Image 12
CC-BY · From the PDF

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Metadata

Authors
Sharma, D., Singh, D., & Kaskaoutis, D. G.
Affiliations
  • Punjabi University (IN)
  • Sharda University (IN)
Corresponding author
Singh, Darshan
ORCID
Venue
Advances in Meteorology
Publisher
Hindawi Limited
Published
2012
Volume
2012
Pages
1-13
ISSN
  • 1687-9309 (ISSN-L)
  • 1687-9317
DOI
10.1155/2012/956814
OpenAlex
W1967665802
Cited by
73
References
2
Citations by year
2026: 2 · 2025: 5 · 2024: 3 · 2023: 5 · 2022: 6 · 2021: 10 · 2020: 5 · 2019: 4 · 2018: 2 · 2017: 4 · 2016: 7 · 2015: 7 · 2014: 10 · 2013: 2 · 2012: 1
FWCI
5.32
Type
journal article
Language
en
Open access
Licence
Locations
  • Advances in Meteorology (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Indian Space Research Organisation
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Earth and Planetary Sciences › Earth-Surface Processes › Aeolian processes and effects
Keywords
dust storms, aerosol radiative forcing, aerosol optical depth, Ångström exponent, surface albedo, top-of-atmosphere radiative forcing, surface radiative forcing, radiative forcing efficiency, northwest India, Patiala

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