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Surface-to-mountaintop transport characterised by radon observations at the Jungfraujoch

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TLDR
In this article, the authors quantify the land-surface influence at Jungfraujoch hour by hour and detect the presence of anabatic winds on a daily basis during 2010-2011, but only from April to September.
Abstract
. Atmospheric composition measurements at Jungfraujoch are affected intermittently by boundary-layer air which is brought to the station by processes including thermally driven (anabatic) mountain winds. Using observations of radon-222, and a new objective analysis method, we quantify the land-surface influence at Jungfraujoch hour by hour and detect the presence of anabatic winds on a daily basis. During 2010–2011, anabatic winds occurred on 40% of days, but only from April to September. Anabatic wind days were associated with warmer air temperatures over a large fraction of Europe and with a shift in air-mass properties, even when comparing days with a similar mean radon concentration. Excluding days with anabatic winds, however, did not lead to a better definition of the unperturbed aerosol background than a definition based on radon alone. This implies that a radon threshold reliably excludes local influences from both anabatic and non-anabatic vertical-transport processes.

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Journal ArticleDOI

Increasing the accuracy and temporal resolution of two-filter radon–222 measurements by correcting for the instrument response

TL;DR: In this paper, a Bayesian approach using a Markov chain Monte Carlo sampler is used to correct the detector's slow-time response for near-surface atmospheric radon measurements.
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Impact of Air Mass Conditions and Aerosol Properties on Ice Nucleating Particle Concentrations at the High Altitude Research Station Jungfraujoch

TL;DR: In this article, the authors investigated potential predictor parameters of meteorological conditions and aerosol properties for ice nucleating particles (INP) concentrations at mixed-phase cloud condition at 242 K.
Journal ArticleDOI

Predicting abundance and variability of ice nucleating particles inprecipitation at the high-altitude observatory Jungfraujoch

TL;DR: In this paper, several environmental parameters were scanned for their capability to predict the observed abundance and variability of ice nucleating particles (INPs−8), and the best correlations with observed number of INPs were implemented as potential predictor variables in statistical multiple linear regression models.
References
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