Aerosol-cloud interaction inferred from MODIS satellite data and global aerosol models

Myhre, Gunnar; Stordal, Frøde; Johnsrud, Mona; Kaufman, Y. J.; Rosenfeld, Daniel; Storelvmo, Trude; Kristjánsson, Jón Egill; Berntsen, Terje; Myhre, Arne; Isaksen, I. S. A.

doi:10.5194/acp-7-3081-2007

Cited by 148 publications

(134 citation statements)

References 63 publications

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“…The MODIS provides an enormous valuable data to understand how aerosols relate cloud parameters (Myhre et al, 2007;Alam et al, 2010;Alam et al, 2014). This section deals with the relationships between AOD and cloud parameters for the ten sites of Sindh through the spatial correlation map.…”

Section: Relationship Between Aerosol Optical Depth and Cloud Parametersmentioning

confidence: 99%

“…reported that CTP decreased with an increased of AOD due to the suppression by increasing the cloud lifetime thus affecting the cloud albedo and CTP. Balakrishnaiah (2012) and Myhre (2007) investigated the same correlation in order to understand atmospheric characteristics that changes with time. Tripathi et al (2007) analyzed reduced updrafts of vertical winds in the winter seasons and very strong drafts in the monsoon seasons of Indo-Gangetic Plain.…”

Section: Relationship Between Aerosol Optical Depth and Cloud Top Prementioning

confidence: 99%

“…In order to understand the aerosol impact and the process of the hydrological cycle, we investigated the change in column water vapor in relation to aerosols (Platnick et al, 2003;Myhre et al, 2007;Balakrishnaiah et al, 2012). The spatial correlation between AOD and WV (Fig.…”

Section: Relationship Between Aerosol Optical Depth and Water Vapormentioning

confidence: 99%

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Spatio-Temporal Distribution of Aerosol and Cloud Properties over Sindh Using MODIS Satellite Data and a HYSPLIT Model

Sharif

Alam

Afsar

2015

Aerosol Air Qual. Res.

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In this study, aerosols spatial, seasonal and temporal variations over Sindh, Pakistan were analyzed which can lead to variations in the microphysics of clouds as well. All cloud optical properties were analyzed using Moderate Resolution Imaging Spectroradiometer (MODIS) data for 12 years from 2001 to 2013. We also monitored origin and movements of air masses that bring aerosol particles and may be considered as the natural source of aerosol particles in the region. For this purpose, the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model was used to make trajectories of these air masses from their sources. Aerosol optical depth (AOD) high values were observed in summer during the monsoon period (June-August). The highest AOD values in July were recorded ranges from 0.41 to 1.46. In addition, low AOD values were found in winter season (December-February) particularly in December, ranges from 0.16 to 0.69. We then analyzed the relationship between AOD and Ångström exponent that is a good indicator of the size of an aerosol particle. We further described the relationships of AOD and four cloud parameters, namely water vapor (WV), cloud fraction (CF), cloud top temperature (CTT) and cloud top pressure (CTP) by producing regional correlation maps of their data values. The analyses showed negative correlation between AOD and Ångström exponent especially in central and western Sindh. The correlation between AOD and WV was throughout positive with high correlation values > 0.74 in whole Sindh except eastern most arid strip of the Thar Desert in the region. The correlation between AOD and CF was positive in southern Sindh and goes to negative in northern Sindh. AOD showed a positive correlation with CTP and CTT in northern Sindh and a negative correlation in southern Sindh. All these correlations were observed to be dependent on the meteorological conditions for all of the ten sites investigated.

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Section: Relationship Between Aerosol Optical Depth and Cloud Parametersmentioning

confidence: 99%

Section: Relationship Between Aerosol Optical Depth and Cloud Top Prementioning

confidence: 99%

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Spatio-Temporal Distribution of Aerosol and Cloud Properties over Sindh Using MODIS Satellite Data and a HYSPLIT Model

Sharif

Alam

Afsar

2015

Aerosol Air Qual. Res.

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“…Both observational and modeling studies suggest that local anthropogenic aerosols, especially black carbon over northern India, have major impacts on ISM through the "solar dimming effect" and the "elevated heat pump" (EHP) ef-fect on different timescales (Ramanathan et al, 2005;Lau et al, 2006;Wang et al, 2009b;Kuhlmann and Quaas, 2010;Nigam and Bollasina, 2010;Bollasina et al, 2011;Lau and Kim, 2011;Bollasina et al, 2013). The "solar dimming effect" proposes that the anthropogenic aerosol-induced reduction of north-south land-sea thermal contrast through aerosols' surface cooling effect contributes to a weaker meridional monsoon circulation.…”

Section: Introductionmentioning

confidence: 99%

Consistent response of Indian summer monsoon to Middle East dust in observations and simulations

Jin

Wei

et al. 2015

Atmos. Chem. Phys.

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Abstract. The response of the Indian summer monsoon (ISM) circulation and precipitation to Middle East dust aerosols on sub-seasonal timescales is studied using observations and the Weather Research and Forecasting model coupled with online chemistry (WRF-Chem). Satellite data show that the ISM rainfall in coastal southwest India, central and northern India, and Pakistan is closely associated with the Middle East dust aerosols. The physical mechanism behind this dust-ISM rainfall connection is examined through ensemble simulations with and without dust emissions. Each ensemble includes 16 members with various physical and chemical schemes to consider the model uncertainties in parameterizing short-wave radiation, the planetary boundary layer, and aerosol chemical mixing rules. Experiments show that dust aerosols increase rainfall by about 0.44 mm day −1 (∼ 10 % of the climatology) in coastal southwest India, central and northern India, and north Pakistan, a pattern consistent with the observed relationship. The ensemble mean rainfall response over India shows a much stronger spatial correlation with the observed rainfall response than any other ensemble members. The largest modeling uncertainties are from the boundary layer schemes, followed by short-wave radiation schemes. In WRF-Chem, the dust aerosol optical depth (AOD) over the Middle East shows the strongest correlation with the ISM rainfall response when dust AOD leads rainfall response by about 11 days. Further analyses show that increased ISM rainfall is related to enhanced southwesterly monsoon flow and moisture transport from the Arabian Sea to the Indian subcontinent, which are associated with the development of an anomalous low-pressure system over the Arabian Sea, the southern Arabian Peninsula, and the Iranian Plateau due to dust-induced heating in the troposphere. The dust-induced heating in the mid-upper troposphere is mainly located in the Iranian Plateau rather than the Tibetan Plateau. This study demonstrates a thermodynamic mechanism that links remote desert dust emissions in the Middle East to ISM circulation and precipitation variability on subseasonal timescales, which may have implications for ISM rainfall forecasts.

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“…It is observed that the increase in AOD decrease the ice cloud effective radius (ICER), but it does not have any response to the liquid cloud effective radius (LCER). The decrease in ICER is more pronounced during dust period, indicates the strong ice nucleation due to longrange transportation of dust (Chylek et al, 2006;Myhre et al, 2007;Dipu et al, 2013). The good correlation (~0.847) between ICER and AOD in the dust period, indicating the increase in dust (30%-50%) reduces the ICER (40%).…”

Section: Dust-induced Cloud Propertiesmentioning

confidence: 78%

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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Aerosol-cloud interaction inferred from MODIS satellite data and global aerosol models

Cited by 148 publications

References 63 publications

Spatio-Temporal Distribution of Aerosol and Cloud Properties over Sindh Using MODIS Satellite Data and a HYSPLIT Model

Spatio-Temporal Distribution of Aerosol and Cloud Properties over Sindh Using MODIS Satellite Data and a HYSPLIT Model

Consistent response of Indian summer monsoon to Middle East dust in observations and simulations

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

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