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Using satellite-bourne instruments to diagnose the indirect effect A review of the capabilities and previous studies
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What is the aerosol indirect effect? Definition: The effect of aerosols upon the radiative balance of Earth via their interaction with clouds
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Indirect Effect Forcing Estimates Aerosol Indirect EffectForcing (Wm-2) Cloud brightening-0.5 to -1.9 Cloud lifetime effect-0.3 to -1.4 Cloud evaporation+0.1 to -0.5 Mixed-phase effects? Surface energy budget-1.8 to -4 (at surface) (Lohmann and Feichter, ACP 2005)
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Role of Aerosol in Cloud Formation Aerosol of diameter D>0.02μm can act as cloud condensation nuclei (CCN) Most CCN have D<1 μm Higher super-saturations required to activate smaller CCN Aerosol hygroscopicity important for potential as CCN Important for indirect effect
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Detecting the indirect effect Need information on… –Aerosol at cloud base: number, size distribution, composition –Cloud properties: droplet number, size distribution, liquid water content (LWP) –Meteorological condtions: RH, updraft v Meteorological conditions less necessary if enough measurements taken
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Aerosol Detection - Scattering Size parameter: μ±ητ∆ For x<<1 Rayleigh scattering (Q sc ~ λ -4 ) x ~ 1 Mie scattering (Q sc complex) x>>1 Geometric scattering (Q sc 2) For most CCN 0.5<x<10 in visible spectrum
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Useful parameters Optical depth Albedo Effective radius Angstrom exponent Liquid water path
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Pros and cons of remote sensing Pros – Global coverage – Long-term measurements Cons – Considerable post-processing of measurements – Less detail of aerosol and clouds than in-situ – Low measurement frequency per location (~days)
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MODIS instrument General info
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MODIS – Useful Products MODIS cloud products –Cloud fraction –Cloud top pressure –Optical depth –Liquid water content MODIS aerosol products –Optical depth –Fine-coarse mode fraction
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MODIS Aerosol Retrieval Assumes bi-modal log- normal distribution Observed radiance compared to several modelled radiances Optical properties and relative ratio of modes, η, retrieved (fine/coarse ratio) Important for indirect effect
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MODIS Aerosol Retrieval Limitations Sun glint on water source of error Retrieval over land has substantial error Relies upon cloud screening Assumed that all aerosol in a mode has same optical properties
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MODIS Cloud Retrieval Both visible and near-IR bands used for determining R eff and optical depth Observed reflectances compared to lookup table of the reflection function R(τ c,r e, θ 0,θ,φ) use to determine τ c and r e Error ∆τ c < 30% after Rayleigh scattering correction
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Τ c <1 - transparent Τ c ~40 eg. Cumulus Τ c <100 eg. cumulonimbus
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MISR Instrument
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Validation – MODIS Cloud Effective radius determined within ~3um for radii 5-15um
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Validation – MODIS Aerosol Over ocean… Over land… ∆τ = ±0.05 ±0.2 τ∆τ = ±0.03 ±0.05 τ
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Validation – MISR Aerosol
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Cross Comparison
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Studies using satellite instruments Info on satellite instruments
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Schwartz study AVHRR Cloud optical depth, LWP and Reff Modelled (sulphate) aerosol transport Region of study
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Nakajima Study
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Kaufman Study
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Less aerosol, less cloud Increased drop size with less aerosol 1 st IE? 2 nd IE?
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Estimated TOA Forcing W/m 2
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Further Research Need improved aerosol data GLOMAP - Detailed aerosol information – can estimate CCN Analyse cloud properties w.r.t. CCN and composition
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Further Research Diagnose how cloud drop number and LWP is affected by aerosol parameters Perform cross-comparison of GLOMAP and satellite-retrieved aerosol
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