Publication
Cloud Condensation Nuclei (CCN) concentrations measured in the Swiss container during MOSAiC 2019/2020
Related publications (32)
Bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols measured in the Swiss container during MOSAiC 2019/2020
Julia Schmale, Ivo Fabio Beck, Benjamin Jérémy Laurent Heutte, Imad El Haddad, Hélène Paule Angot, Lubna Dada
This dataset contains the bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols (NR-PM1) measured during the MOSAiC expedition from October 2019 to July 2020. These include the mass concentrations of sulfate (S ...
EPFL Infoscience2023Aerosol optical absorption coefficients at seven wavelengths in 10 min resolution measured in the Swiss container during MOSAiC 2019/2020
Julia Schmale, Ivo Fabio Beck, Benjamin Jérémy Laurent Heutte, Lubna Dada
This dataset contains aerosol optical absorption coefficients at seven different wavelengths (babs(λ)), averaged to 10 min time resolution, measured during the year-long MOSAiC expedition from October 2019 to September 2020. The measurements were performed ...
EPFL Infoscience2023Equivalent black carbon concentration in 10 minutes time resolution, measured in the Swiss container during MOSAiC 2019/2020
Julia Schmale, Ivo Fabio Beck, Benjamin Jérémy Laurent Heutte, Lubna Dada
This dataset contains equivalent black carbon (eBC) concentrations, averaged to 10 min time resolution, measured during the year-long MOSAiC expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-dec ...
Pangaea2022On the drivers of droplet variability in Alpine mixed-phase clouds
Athanasios Nenes, Alexis Berne, Paraskevi Georgakaki, Maxime Hervo, Jörg Wieder
Droplet formation provides a direct microphysical link between aerosols and clouds (liquid or mixed-phase), and its adequate description poses a major challenge for any atmospheric model. Observations are critical for evaluating and constraining the proces ...
2021Study of B -> ppi pi
Olivier Schneider, Mingkui Wang, Chao Wang, Tagir Aushev, Sun Hee Kim, Donghyun Kim, Xiao Wang, Lei Li
Using a data sample of 772 x 10(6) B (B) over bar pairs collected on the Upsilon(4S) resonance with the Belle detector at the KEKB asymmetric energy e(+)e(-) collider, we report the observation of B-0 -> p (p) over bar pi(+)pi(-) and the first observation ...
AMER PHYSICAL SOC2020Continuous in situ measurement of dissolved methane in Lake Kivu using a membrane inlet laser spectrometer
We report the first high-resolution continuous profile of dissolved methane in the shallow water of Lake Kivu, Rwanda. The measurements were performed using an in situ dissolved gas sensor, called Sub-Ocean, based on a patented membrane-based extraction te ...
Copernicus GmbH2020Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation
Athanasios Nenes, Julia Schmale, Yang Yang
A total of 16 global chemistry transport models and general circulation models have participated in this study; 14 models have been evaluated with regard to their ability to reproduce the near-surface observed number concentration of aerosol particles and ...
2019Occupant- detection strategy using footstep-induced floor vibrations
Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira
Identification of occupant presence and location inside buildings is essential to functional goals such as security, healthcare, and energy management. Floor-vibration measurements, induced by footstep impacts, provide a non-intrusive sensing method for oc ...
ACM2019Occupant-detection strategy using footstep-induced floor vibrations
Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira
Identification of occupant presence and location inside buildings is essential to functional goals such as security, healthcare, and energy management. Floor-vibration measurements, induced by footstep impacts, provide a non-intrusive sensing method for oc ...
ASSOC COMPUTING MACHINERY2019Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation
Mohsen Talebkeikhah, Farzaneh Talebkeikhah
This study evaluates and compares several machine learning methods on the effects of different parameters in the hydrothermal carbonisation (HTC) process of macroalgae Sargassum horneri. Reaction temperature, residence time, biomass particle size, the amou ...
TAYLOR & FRANCIS LTD2019