Aerosol characteristics at a remote island: Minicoy in southern Arabian Sea

Vinoj, V.; Satheesh, S. K.; Moorthy, K. Krishna

doi:10.1007/s12040-008-0017-y

Cited by 19 publications

(8 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…5c) is consistent with ground-based observations. The role of low AOD over the Arabian Sea and Bay of Bengal in producing the latitudinal and longitudinal variation in AOD observed in our study is corroborated by the studies of Vinoj et al (2008) and Naseema Beegum et al (2012). Vi- In order to further explore the model-satellite comparison, we examined the correlation coefficients of some of the models: IPSL-CM5A-MR (Dufresne et al, 2013), CSIRO-BOM-ACCESS1.0 (Bi et al, 2013), NOAA-GFDL-ESM2M, NOAA-GFDL-ESM2G (Dunne et al, 2012), MIROC-MIROC5 (Watanabe et al, 2010), MRI-CGCM3 (Yukimoto et al, 2012), NCC-NorESM1-M , NCC-NorESM1-ME (Tjiputra et al, 2013) over selected regions (Fig.…”

Section: Cmip5supporting

confidence: 90%

Quantitative assessment of AOD from 17 CMIP5 models based on satellite-derived AOD over India

2016

View full text Add to dashboard Cite

Abstract. Aerosol optical depth (AOD) values from 17 CMIP5 models are compared with Moderate Resolution Imaging Spectroradiometer (MODIS) and Multiangle Imaging Spectroradiometer (MISR) derived AODs over India. The objective is to identify the cases of successful AOD simulation by CMIP5 models, considering satellite-derived AOD as a benchmark. Six years of AOD data (2000)(2001)(2002)(2003)(2004)(2005) from MISR and MODIS are processed to create quality-assured gridded AOD maps over India, which are compared with corresponding maps of 17 CMIP5 models at the same grid resolution. Intercomparison of model and satellite data shows that model-AOD is better correlated with MISR-derived AOD than MODIS. The correlation between model-AOD and MISR-AOD is used to segregate the models into three categories identifying their performance in simulating the AOD over India. Maps of correlation between model-AOD and MISR-/MODIS-AOD are generated to provide quantitative information about the intercomparison. The two sets of data are examined for different seasons and years to examine the seasonal and interannual variation in the correlation coefficients. Latitudinal and longitudinal variations in AOD as simulated by models are also examined and compared with corresponding variations observed by satellites.

show abstract

Section: Cmip5supporting

confidence: 90%

Quantitative assessment of AOD from 17 CMIP5 models based on satellite-derived AOD over India

2016

View full text Add to dashboard Cite

show abstract

“…Enhanced production of maritime aerosols by strong surface wind (Figure 4) also contributes to the observed increase of AOD over the Arabian Sea in this season along with dust, thus showing low AE (<0.6) compared to over the land. Ground‐based measurements of spectral AOD by multiwavelength radiometer at Minicoy (Figure 1) also show AE of ∼0.4 during this season [ Vinoj et al , 2008]. Unfortunately, data from Port Blair in the Bay of Bengal (Figure 1) are not available in the literature for comparison in this season.…”

Section: Climatology Of Aerosol Propertiesmentioning

confidence: 99%

“…By combining MODIS‐derived AOD and NCEP‐derived wind data, Satheesh et al [2006d] have shown that during the monsoon season, the relative contribution of maritime aerosols to the AOD over the northern Arabian Sea is lower than that over the southern Arabian Sea. The air mass to the northern Arabian Sea has been found to come from west Asia and Africa [ Satheesh et al , 2006d], whereas the air mass to the southern Arabian Sea comes from the open oceans [ Vinoj et al , 2008]. We have also looked into the spatial gradient of the absorbing aerosol index (AAI) over the Arabian Sea (not shown here) from Total Ozone Mapping Spectrometer (TOMS, for data up to the year 2005) and Ozone Monitoring Instrument (OMI, after the year 2005).…”

Section: Climatology Of Aerosol Propertiesmentioning

confidence: 99%

A climatology of aerosol optical and microphysical properties over the Indian subcontinent from 9 years (2000–2008) of Multiangle Imaging Spectroradiometer (MISR) data

2010

View full text Add to dashboard Cite

[1] We present the first detailed analysis of a 9 year (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008) seasonal climatology of size-and shape-segregated aerosol optical depth (AOD) and Ångström exponent (AE) over the Indian subcontinent derived from the Multiangle Imaging Spectroradiometer (MISR). Our analysis is evaluated against in situ observations to better understand the error characteristics of and to corroborate much of the space-time variability found within the MISR aerosol properties. The space-time variability is discussed in terms of aerosol sources, meteorology, and topography. We introduce indices based on aerosol size-and shapesegregated optical depth and their effect on AE that describe the relative seasonal change in anthropogenic and natural aerosols from the preceding season. Examples of major new findings include the following: (1) winter to premonsoon changes in aerosol properties are not just dominated by an increase in dust, as previously thought, but also by an increase in anthropogenic components, particularly in regions where biomass combustion is prevalent; (2) ∼15% of the AOD over the high wintertime pollution in the eastern IndoGangetic basin is due to large dust particles, resulting in the lowest AE (<0.8) over India in this season and likely caused by rural activities (e.g., agriculture, etc.) from the densely populated rural area; (3) while AOD decreases from the Indo-Gangetic basin up to the Tibetan Plateau, a large peak in AE and the fraction of AOD due to particle radii <0.7 mm exists in the foothills of the Himalayas, particularly in the premonsoon season; and (4) the AOD due to nonspherical particles exhibits a strong ocean-to-land gradient over all seasons because of topographical and meteorological controls.Citation: Dey, S., and L. Di Girolamo (2010), A climatology of aerosol optical and microphysical properties over the Indian subcontinent from 9 years

show abstract

“…In recent years, the groundbased network of aerosol measurements has expanded in the country as part of the Aerosol Radiative Forcing over India (ARFI) project under Indian Space Research Organization's Geosphere Biosphere Programme (Kompalli et al, 2010), which has been extensively used to quantify aerosol direct radiative forcing at several places (e.g. Babu et al, 2002;Moorthy et al, 2005;Vinoj et al, 2008). Satellite data were also analyzed to understand the space-time distribution of aerosols in the subcontinent (Di Girolamo et al, 2004;Jethva et al, 2005;Ramachandran and Cherian, 2008;Dey and Di Girolamo, 2010).…”

Section: Introductionmentioning

confidence: 99%

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

Das

Dey

Dash

et al. 2013

Atmospheric Research

View full text Add to dashboard Cite

Aerosol characteristics at a remote island: Minicoy in southern Arabian Sea

Cited by 19 publications

References 43 publications

Quantitative assessment of AOD from 17 CMIP5 models based on satellite-derived AOD over India

Quantitative assessment of AOD from 17 CMIP5 models based on satellite-derived AOD over India

A climatology of aerosol optical and microphysical properties over the Indian subcontinent from 9 years (2000–2008) of Multiangle Imaging Spectroradiometer (MISR) data

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

Contact Info

Product

Resources

About