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By Gourihar Kulkarni Steven Dobbie Mike Smith Jim McQuaid

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Presentation on theme: "By Gourihar Kulkarni Steven Dobbie Mike Smith Jim McQuaid"— Presentation transcript:

1 Experimental Measurements for Heterogeneous ice nucleation of Mineral dust particles
By Gourihar Kulkarni Steven Dobbie Mike Smith Jim McQuaid (IUGG – July 2007) Thanks. Good morning everybody. In this talk I will be speaking about the development of new instrument which has been used to investigate the nucleating ability of mineral dust particles. which is capable of producing a range of SSi under different temperature gradients,

2 Research Aims To build and operate a new ice thermal gradient diffusion chamber, and to Investigate ice nucleating properties of mineral dust particles.

3 Motivated by … Atmospheric measurements Efficacy of some dust
(Cziczo et al., 2004; DeMott et al., 2003) Efficacy of some dust particles to serve as IN (& at low SSi) (Kanji et al., 2006) Increasing trend in dust emissions (Prospero et al., 2003) Quantification of nucleation results (Kärcher & Lohmann 2003; Fletcher 1958) Ice Parameterizations Laboratory data Observational data Mineral dust / Fly Ash -ice crystal residue – possibly indirect effect -increase trend in dust conc. correlates with rainfall deficits in North Africa.

4 Thermal Gradient Diffusion Chamber (TGDC)

5 Insulating box (Microscope housing)
Cold Room, (2.5m x 3m x 2.2m, -60 to +50 deg C) TGDC

6 TGDC Micrometer & sample holder

7 Experimental Procedure
(1) - 20 oC - 30 oC (2) SSi spectra

8 Results R.1 SEM analysis of dust samples from Sahara (AMMA) & Spain
R.2 Nucleation Onset determination R.3 Active Fraction R.4 Calculating number of ice particles from heterogeneous nucleation rate. -In the results section, firstly I will be showing the elemental composition of dust particles.

9 R.1 SEM –EDX Analysis –Single dust particle spectra
(Si, Al, Mg, K, Ca, S and Fe) Si 1) Dakar Airport O 2) Dakar O Si Al Al Ca Fe S Cl Fe Ca S Cl Si 3) Nigeria 4) Spain O Al Fe

10 R.2 Onset Nucleation Procedure
Ttop = deg C, Tbot = deg C SSi 108.2 % 108.3 % 108.0 % 107.2 % 105.5 % 103.2 % 100.0 %

11 Nucleation Onset Image – 1 SSi = 103.2 % , Time = 0 sec
125 micron

12 Nucleation Onset Image – 2
SSi = %, Time = 69 sec

13 Nucleation Onset Image – 3
SSi = %, Time = 78 sec

14 Nucleation Onset Image – 4
SSi = %, Time = 92 sec

15 Relationship of onset SSi with temperature
-here you are seeing the square points at which the onset nucleation was observed. -The area of the square point implies the frequency of onset nucleation observations. Dust Sample : Nigeria

16 Relationship of onset SSi with temperature
-Low SSi -Trend of curves, after -38 you are in homogeneous regime. -Spanish dust curve, surface chemical composition, -At same temperature, there is a spread in the SSi for dust particles, -Diehl 2006, latent heat release – increase in vertical updraft =>mixed phase cloud reach higher altitudes with further ice formation process. -Onset of freezing depends upon the type of IN.

17 R.3 Active Fraction Determination
Active Fraction = Number of ice particles observed / Total number of dust particles SSi = 116 %, Temp = -30 deg C -Very interesting plot. One can understand several important properties of nucleation. The active fractions were determined at four different combinations of SSi and Temperature. -after time lag time, the curve trends shows the random distribution of active IN (becz it has exponential shape) -As we know in the nucleation there are two different points of views about how it takes place. Time Lag Importance of active sites over the dust particle.

18 Comparison of Active Fractions
-20 deg C -20 deg C -30 deg C -30 deg C -Variability in the dust particles The active IN fraction of dust particles from two different locations, Dakar and Nigeria, as function of the SSi.

19 R.4 Calculation of maximum number of ice particles
Jhet = w / (t . As) [ Experimental ] nice = ndust [1 - exp (-Jhet.Ap.T)] P&K 1997 nice = exp{a + b[ 100 (SSi – 1)]} Meyers 1992

20 Conclusions Evidence of dust nucleating at low SSi and over wide temperature range. ESEM-EDX analysis shows the dust particles have mixed mineralogical composition with varied percentages. The nucleating properties of dust vary between source regions. * Onset nucleation - Spain and Sahara, * Active fraction and Time lag- Nigeria and Dakar Active fraction at constant SSi increases with increase in temperature, and also fraction increases with increase in SSi. -Low SSi results are in agreement with other studies. -Mineral dust particle concentration influences the active fraction (important in determining conditions for initiating the ice phase in the troposphere). Nucleation ph enomenon may be combination of the stochastic and singular mechanisms.

21 Thank You

22 Comparison of average heterogeneous rates at different temperatures and SSi from Dakar and Nigeria locations. In a nucleation rate experiment the average heterogeneous rates are determined at a time (t1) when first nucleation event on the dust particle is observed and at a time (t2) when after no further dust nucleation is observed.

23 Life history of water vapour
RAIN SMALL DROPS COALESCENCE EMBRYOS LARGE GRAUPEL SNOW Life history of water vapour Turbulence Coalescence Condensation Freezing Riming Continuous collection Capture Splintering Vapour deposition Aggregation Fragmentation Melting Fallout VAPOUR SUPPLY ICE CRYSTALS Ice Nucleation VAPOUR SUPPLY ICE CRYSTALS Ice Nucleation Small particles Microphysical interaction between different categories of water substance Conversions of water substance These invididual processes may sometimes be isolated for study. However, in a natural cloud these processes occur simultaneously. Large particles

24 Concept Development 1) 2) 3) 4)

25 SSi Validation Deliquescence of Ammonium Sulfate particles Esi T Esi
B1 T1 DRH Esi Esi T Deliquescence of Ammonium Sulfate particles

26

27 Ice Parameterizations
Laboratory data Observational data


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