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Global Change Abstracts The Swiss Contribution - SCNAT

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56<br />

08.1-52<br />

Counterflow virtual impact or based collection<br />

of small ice particles in mixed-phase clouds<br />

for the physico-chemical characterization of<br />

tropospheric ice nuclei : Sampler description<br />

and first case study<br />

Mertes S, Verheggen B, Walter S, Connolly P, Ebert<br />

M, Schneider J, Bower K N, Cozic J, Weinbruch S,<br />

Baltensperger U, Weingartner E<br />

Germany, Switzerland, England<br />

Meteorology & Atmospheric Sciences<br />

A ground-based sampling system named Ice-CVI<br />

is introduced that is able to extract small ice<br />

particles with sizes between 5 and 20 µm out of<br />

mixed-phase clouds. <strong>The</strong> instrument is based on<br />

a counterflow virtual impactor (CVI) removing interstitial<br />

particles and is supplemented by additional<br />

modules that pre-segregate other constituents<br />

of mixed-phase clouds. Ice particles of 20 µm<br />

and smaller are expected to grow only by water<br />

vapor diffusion and there is a negligible probability<br />

that they scavenge aerosol particles by impaction<br />

and riming. Thus, their residuals which are<br />

released by the Ice-CVI can be interpreted as the<br />

original ice nuclei (IN). In a first field test within<br />

the Cloud and Aerosol Characterization Experiment<br />

(CLACE-3) at the high alpine research station<br />

Jungfraujoch, the collection behavior of the<br />

single components and the complete system was<br />

evaluated under atmospheric sampling conditions.<br />

By comparing parameters measured by the<br />

Ice-CVI with corresponding results obtained from<br />

other inlets or with in-situ instrumentation it is<br />

verified that the small ice particles are representatively<br />

collected whereas all other mixed phase<br />

cloud constituents are effectively suppressed. In<br />

a case study it is observed that supermicrometer<br />

particles preferentially serve as IN although in absolute<br />

terms the IN concentration is dominated by<br />

sub- micrometer particles. Mineral dust (Si), nonvolatile<br />

organic matter and black carbon could be<br />

identified as IN components by means of different<br />

chemical analyses. <strong>The</strong> latter suggests an anthropogenic<br />

influence on the heterogeneous ice nucleation<br />

in supercooled, tropospheric clouds.<br />

Aerosol Science and Technology, 2007, V41, N9, pp<br />

848-864.<br />

08.1-53<br />

A one-dimensional ensemble forecast and assimilation<br />

system for fog prediction<br />

Müller M D, Schmutz C, Parlow E<br />

Switzerland<br />

Modelling , Meteorology & Atmospheric Sciences<br />

A probabilistic fog forecast system was designed<br />

based on two high resolution numerical 1-D mod-<br />

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

els called COBEL and PAFOG. <strong>The</strong> 1-D models are<br />

coupled to several 3-D numerical weather prediction<br />

models and thus are able to consider the effects<br />

of advection. To deal with the large uncertainty<br />

inherent to fog forecasts, a whole ensemble<br />

of 1-D runs is computed using the two different<br />

numerical models and a set of different initial<br />

conditions in combination with distinct boundary<br />

conditions. Initial conditions are obtained<br />

from variational data assimilation, which optimally<br />

combines observations with a first guess<br />

taken from operational 3-D models. <strong>The</strong> design<br />

of the ensemble scheme computes members that<br />

should fairly well represent the uncertainty of<br />

the current meteorological regime. Verification<br />

for an entire fog season reveals the importance of<br />

advection in complex terrain. <strong>The</strong> skill of 1-D fog<br />

forecasts is significantly improved if advection is<br />

considered. Thus the probabilistic forecast system<br />

has the potential to support the forecaster and<br />

therefore to provide more accurate fog forecasts.<br />

Pure and Applied Geophysics, 2007, V164, N6-7,<br />

JUN, pp 1241-1264.<br />

08.1-54<br />

Ozone air pollution effects on tree-ring<br />

growth, delta C-13, visible foliar injury and<br />

leaf gas exchange in three ozone-sensitive<br />

woody plant species<br />

Novak K, Cherubini P, Saurer M, Fuhrer J, Skelly J<br />

M, Kräuchi N, Schaub M<br />

Switzerland, USA<br />

Meteorology & Atmospheric Sciences , Plant<br />

Sciences , Forestry<br />

We assessed the effects of ambient tropospheric<br />

ozone on annual tree- ring growth, delta C-13 in<br />

the rings, leaf gas exchange and visible injury<br />

in three ozone-sensitive woody plant species in<br />

southern Switzerland. Seedlings of Populus nigra<br />

L., Viburnum lantana L. and Fraxinus excelsior L.<br />

were exposed to charcoal-filtered air (CF) and nonfiltered<br />

air (NF) in open-top chambers, and to ambient<br />

air (AA) in open plots during the 2001 and<br />

2002 growing seasons. Ambient ozone exposures<br />

in the region were sufficient to cause visible foliar<br />

injury, early leaf senescence and premature leaf<br />

loss in all species. Ozone had significant negative<br />

effects on net photosynthesis and stomatal conductance<br />

in all species in 2002 and in V. lantana<br />

and F. excelsior in 2001. Water-use efficiency decreased<br />

and intercellular CO 2 concentrations increased<br />

in all species in response to ozone in 2002<br />

only. <strong>The</strong> width and delta C-13 of the 2001 and<br />

2002 growth rings were measured for all species<br />

at the end of the 2002 growing season. Compared<br />

with CF seedlings, mean ring width in the AA and

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