rapid & continuous measurement of supersaturation spectra
DESCRIPTION
Why SFCA? Scanning Flow CCN Analysis Cerina, Staffan, Göran & Birgitta Original developers: Rich Moore & Nenes. Rapid & Continuous Measurement of Supersaturation spectra Express Timescales (Airborne measurements, chamber - ageing) Small Samples for Analysis As good as Stepping-ΔT-Mode? - PowerPoint PPT PresentationTRANSCRIPT
Lund University / CAST 2010
Why SFCA?Scanning Flow CCN Analysis
Cerina, Staffan, Göran & BirgittaOriginal developers: Rich Moore & Nenes
• Rapid & Continuous Measurement of Supersaturation spectra• Express Timescales (Airborne measurements, chamber - ageing)• Small Samples for Analysis • As good as Stepping-ΔT-Mode?• Colder than usually (no heating of aerosol required) – less volatility losses
Lund University / CAST 2010
Why?• Saving time – before it took a while to stabilize the
temperature, with SFCA the flow is changed fast
How?
Results?
• How does the traditional Stepping-ΔT-Mode (CFSTGC) work…?
…compared with how the SFCA works?
• Calibration, Brocken longterm
Lund University / CAST 2010
This is how the CFSTGC works… • Diffusion of heat in air
(N2 O2) is slower than diffusion of water vapor
• The partial pressure of water vapor at center (C) is equal to point B. However, the temperature is equal to point A – hence there is more water vapor than thermodynamically allowed and supersaturation is generated
Lund University / CAST 2010
Higher flow will increase the difference between the partial pressure of water vapor & temperature, and thereby increase the supersaturation
…and the SFCA
Lund University / CAST 2010
Results - Calibration
Lund University / CAST 2010
Results - Calibration
Lund University / CAST 2010
Comparison with data from Rich(similar testruns 6K/120s/20s)
Lund University / CAST 2010
Double charged
FIG. 6c. Zoom-in on double charged particles for 120 s flowscan for laboratory-generated, 70 nm ammoniumsulfate aerosol at P 1010 mb and ∼ ∆Tnom = 6 K.
Lund University / CAST 2010
Results – Brocken 1142 m
Lund University / CAST 2010
Results – Cloud on Brocken 1142 mSteam train time table arrival 12:51 departure 13:14
0 0.1 0.2 0.3 0.4 0.5 0.60
50
100
150
200
250
12:45:59
12:50:40
12:55:20
13:09:20
13:14:00
13:23:19
Supersaturation (%)
CCN
num
ber c
once
ntra
tion
(cm
-3)
Lund University / CAST 2010
Following the aerosol particle through the column (10-20 s)
(using CFTGC vs. SFCA)CFSTGC
Axi
al D
ista
nce
From
Inle
t
SS [%] Temp [oC] Flow [cm3min-1]
0.0
0.5
SFCA
SS [%]Axi
al D
ista
nce
From
Inle
t
Temp [oC] Flow [cm3min-1]0.5
0.0
Lund University / CAST 2010
Problems encountered?
• Down scan – low SS - the drops can be too few and too small for the OPC detection limit
• Water level to low?• Nenes: ”…is some channeling in the ceramic
bisque lining (perhaps some cracking from prolonged use). Also, double-check that the OPC is clean.”
Lund University / CAST 2010
Outlook
• Cooperation with Rich Moore and Nenes? – fast scans article
• Brocken data• Chamber measurements• Vavihill or new ICOS site
Lund University / CAST 2010
Conclusion
• Better time resolution, more appropriate for atmospheric conditions
• Reliable, but maybe more service (pump)?• Not fully understood