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Global Change Abstracts The Swiss Contribution - SCNAT

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38<br />

predict, minimize and ensure reproducibility of<br />

artifacts caused by gaseous organic compounds<br />

sorbing to fiber filters..<br />

Atmospheric Environment, 2007, V41, N37, DEC,<br />

pp 8241-8252.<br />

08.1-4<br />

Interference of organic signals in highly time<br />

resolved nitrate measurements by low mass<br />

resolution aerosol mass spectrometry<br />

Bae M S, Schwab F J, Zhang Q, Hogrefe O,<br />

Demerjian K L, Weimer A, Rhoads K, Orsini D,<br />

Venkatachari P, Hopke P K<br />

USA, Switzerland<br />

Meteorology & Atmospheric Sciences ,<br />

Urban Studies<br />

Highly time resolved measurements of nitrate in<br />

ambient aerosols were conducted by an Aerodyne<br />

Quadrupole Aerosol Mass Spectrometer (Q-AMS<br />

or simply AMS) and a particle-into-liquid sampler<br />

(PILS) coupled to ion chromatography from field<br />

intensives at two sites: an urban site in New York<br />

City (Queens College; QC) for wintertime (22 January<br />

to 5 February 2004) and a rural site in southwestern<br />

New York state (Pinnacle State Park; PSP)<br />

for summertime (18 July to 6 August 2004). In this<br />

study, we report that in rural atmospheres the<br />

inorganic nitrate signal from Q-AMS may contain<br />

significant interferences from organic signals.<br />

Analysis of the QC data indicates a good agreement<br />

between the PILS-nitrate and AMS-nitrate<br />

measurements (R-2 = 0.94; linear regression slope<br />

= 1.05). In addition, the m/z 30 and m/z 46 (two<br />

dominant ion fragments in nitrate mass spectrum)<br />

signals tightly correlate at QC (R-2 = 0.98)<br />

and have an average ratio similar to that determined<br />

in the laboratory for NH 4NO 3 (m/z 30/m/z<br />

46 = 2.4). In contrast, at the PSP site the correlation<br />

between PILS- and AMS- nitrate was poor<br />

(R-2 = 0.34), the AMS reported nitrate values were<br />

substantially higher, and the m/z 30 to m/z 46 ratios<br />

were generally much larger than 2.4. <strong>The</strong>se<br />

observations, together with evaluations by aerosol<br />

phase ion balance, indicate that the AMS m/z<br />

30 signals at PSP have been strongly influenced<br />

by organic compounds that also produce signals<br />

at m/z 30, e. g., organic nitrates (NO+), oxygenated<br />

organics (CH 2O+), hydrocarbon-like organics<br />

(C2H6+), and nitrogen- containing organic compounds<br />

(CH 4N+).<br />

Journal of Geophysical Research Atmospheres,<br />

2007, V112, ND22, NOV 24 ARTN: D22305.<br />

<strong>Global</strong> <strong>Change</strong> <strong>Abstracts</strong> – <strong>The</strong> <strong>Swiss</strong> <strong>Contribution</strong> | Atmosphere<br />

08.1-5<br />

Small-scale cloud processes and climate<br />

Baker M B, Peter T<br />

USA, Switzerland<br />

Meteorology & Atmospheric Sciences<br />

Clouds constitute the largest single source of<br />

uncertainty in climate prediction. A better understanding<br />

of small- scale cloud processes could<br />

shed light on the role of clouds in the climate system.<br />

Nature, 2008, V451, N7176, JAN 17, pp 299-300.<br />

08.1-6<br />

Chemical analysis of atmospheric aerosols<br />

Baltensperger U, Prevot A S H<br />

Switzerland<br />

Meteorology & Atmospheric Sciences ,<br />

Urban Studies<br />

Analytical and Bioanalytical Chemistry, 2008, V390,<br />

N1, JAN, pp 277-280.<br />

08.1-7<br />

Entering into the “greenhouse century”:<br />

Recent record temperatures in Switzerland are<br />

comparable to the upper temperature quantiles<br />

in a greenhouse climate<br />

Beniston M<br />

Switzerland<br />

Modelling , Meteorology & Atmospheric Sciences<br />

This paper investigates the recent spate of recordbreaking<br />

warm seasons that have affected Switzerland<br />

in less than a decade and compares the<br />

seasonal statistics to those simulated for a ‘’greenhouse-gas’’<br />

climate by the end of the 21st century.<br />

<strong>The</strong> peaks of minimum and maximum temperatures<br />

observed during some the record seasons<br />

enter well into the 25%-75% temperature quantile<br />

range for the scenario climate simulated by a<br />

set of regional climate models. <strong>The</strong> anomalously<br />

warm seasons allow a ‘’preview’’ of conditions<br />

that may occur with greater frequency in the future.<br />

<strong>The</strong> use of current data as a form of proxy<br />

for the future enables an assessment of the possible<br />

impacts on the natural and socio-economic<br />

environments, and can help in considering possible<br />

adaptation strategies to reduce some of the<br />

associated risks of climatic change.<br />

Geophysical Research Letters, 2007, V34, N16,<br />

AUG 30 ARTN: L16710.

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