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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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Presentation on theme: "Using satellite-bourne instruments to diagnose the indirect effect A review of the capabilities and previous studies."— Presentation transcript:

1 Using satellite-bourne instruments to diagnose the indirect effect A review of the capabilities and previous studies

2 What is the aerosol indirect effect? Definition: The effect of aerosols upon the radiative balance of Earth via their interaction with clouds

3 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)

4 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

5 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

6 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

7 Useful parameters Optical depth Albedo Effective radius Angstrom exponent Liquid water path

8 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)

9 MODIS instrument General info

10 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

11 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

12 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

13 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

14 Τ c <1 - transparent Τ c ~40 eg. Cumulus Τ c <100 eg. cumulonimbus

15 MISR Instrument

16 Validation – MODIS Cloud Effective radius determined within ~3um for radii 5-15um

17 Validation – MODIS Aerosol Over ocean… Over land… ∆τ = ±0.05 ±0.2 τ∆τ = ±0.03 ±0.05 τ

18 Validation – MISR Aerosol

19 Cross Comparison

20 Studies using satellite instruments Info on satellite instruments

21 Schwartz study AVHRR Cloud optical depth, LWP and Reff Modelled (sulphate) aerosol transport Region of study

22

23 Nakajima Study

24 Kaufman Study

25 Less aerosol, less cloud Increased drop size with less aerosol 1 st IE? 2 nd IE?

26 Estimated TOA Forcing W/m 2

27 Further Research Need improved aerosol data GLOMAP - Detailed aerosol information – can estimate CCN Analyse cloud properties w.r.t. CCN and composition

28 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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