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[JGR - Atmospheres] Supporting Information for Analysis of long-term aerosol size distribution data from Jungfraujoch with emphasis on free tropospheric conditions, cloud influence, and air mass transport

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[JGR - Atmospheres]

Supporting Information for

Analysis of long-term aerosol size distribution data from Jungfraujoch with emphasis on free tropospheric conditions, cloud influence, and air mass transport

Erik Herrmann1, Ernest Weingartner2, Stephan Henne3, Laurent Vuilleumier4, Nicolas Bukowiecki1, Martin Steinbacher3, Franz Conen5, Martine Collaud Coen4, Emanuel

Hammer1,*, Zsofia Jurányi2, Urs Baltensperger1, and Martin Gysel1

1Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland.

2Institute for Aerosol and Sensor Technology, University of Applied Sciences Northwestern Switzerland (FHNW), Windisch, Switzerland.

3Laboratory for Air Pollution / Environmental Technology, Swiss Federal Laboratories for Materials Science and Technology (Empa), Dübendorf, Switzerland.

4Federal Office of Meteorology and Climatology (MeteoSwiss), Payerne, Switzerland.

5Department of Environmental Sciences, University of Basel, Basel, Switzerland.

*now at Grolimund + Partner AG – environmental engineering, Bern, Switzerland

Contents of this file

Figures S1 to S4

Introduction

This file contains some non-essential but helpful figures that have been omitted from the manuscript proper to avoid unnecessary “sprawl”.

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Figure S1. Mean, median, and quartiles of the size distribution for each season.

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Figure S2. N90 as a function of 1/[222Rn] with fit and quartiles as in Figures 6a and 6b.

For the tropospheric N90 background, this approach yields a value of 36.5 cm-3.

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Figure S3. Annual cycles of footprint cluster occurrence. Sum for each cluster is 100%.

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Figure S4. An example of particle growth arrested in the Aitken mode. Note that the figure shows two consecutive days.

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