DOI: 10.1016/j.atmosenv.2015.06.015
Scopus记录号: 2-s2.0-84936862024
论文题名: Spatiotemporal characteristics of aerosols in India: Observations and model simulations
作者: Ramachandran S ; , Kedia S ; , Sheel V
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 116 起始页码: 225
结束页码: 244
语种: 英语
英文关键词: Absorbing aerosol optical depth
; Aerosol optical depth
; Aerosols
; India
; Models
; Observations
; Single scattering albedo
Scopus关键词: Aerosols
; Atmospheric aerosols
; Atmospheric thermodynamics
; Models
; Optical properties
; Radiometers
; Solar radiation
; Absorbing aerosol
; Aerosol optical depths
; India
; Observations
; Single scattering albedo
; Climate models
; ammonium nitrate
; black carbon
; fossil fuel
; organic carbon
; ozone
; sodium chloride
; sulfate
; aerosol composition
; aerosol property
; climate effect
; MISR
; MODIS
; numerical model
; optical depth
; simulation
; spatiotemporal analysis
; uncertainty analysis
; aerosol
; Article
; biomass
; boundary layer
; chemical composition
; desert
; environmental temperature
; humidity
; India
; low temperature
; mineral dust
; optical depth
; photometer
; priority journal
; radiative forcing
; seasonal variation
; simulation
; spatiotemporal analysis
; summer
; wind
; winter
; India
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: An analysis of aerosol characteristics measured using sun photometers, MODIS and MISR, and simulated using global aerosol models (GOCART and MOZART) over six distinctly different environments in India reveal significant regional and temporal variations. Model AODs are lower than measured AODs, and exhibit a winter low and summer high, while features in measured AODs differ. MODIS and MISR AODs are higher than model simulated AODs. Differences between measured and model AODs arise due to absence of seasonal cycle in model AODs which occurs mainly due to lack of proper representation of aerosol emissions and not due to meteolorogy. In model simulations dust (>40% during premonsoon) and sulfate (40% during monsoon) contribute the maximum to total AOD. Model derived single scattering albedo (SSA) is higher than measured SSA over the study locations because simulated BC is low. The inter-annual variability in model derived SSA is lower than model-observation differences in SSA. The intra-regional variation in model AODs is lower than that of MODIS AODs. Sea salt contributes ~10% to total AOD during monsoon only over Peninsular and west Central India. The underestimation of AODs by GOCART and MOZART and space-time differences with observations strongly favors improving the emission inventories of aerosol sources and removal mechanisms of aerosols in the models. Results from present study can serve as inputs to tune models because not only total AODs but also species AODs, and their amount need to be properly simulated in order to reduce the uncertainty in radiative and climate impact of aerosols. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81609
Appears in Collections: 气候变化事实与影响
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作者单位: Space and Atmospheric Sciences Division, Physical Research Laboratory, Ahmedabad, India; Computational Earth Sciences Group, Centre for Development of Advanced Computing, Pune, India
Recommended Citation:
Ramachandran S,, Kedia S,, Sheel V. Spatiotemporal characteristics of aerosols in India: Observations and model simulations[J]. Atmospheric Environment,2015-01-01,116