Atmos. Meas. techniques

Multi-section reference value for the analysis of horizontally scanning aerosol lidar observations
Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh
Atmos. Meas. Tech., 17, 397–406, https://doi.org/10.5194/amt-17-397-2024, 2024
We introduce the multi-section method, a novel approach for stable extinction coefficient retrievals in horizontally scanning aerosol lidar measurements, in this study. Our method effectively removes signal–noise-induced irregular peaks and derives a reference extinction coefficient, αref, from multiple scans, resulting in a strong correlation (>0.74) with PM2.5 mass concentrations. Case studies demonstrate its utility in retrieving spatio-temporal aerosol distributions and PM2.5 concentrations.

Measurements of atmospheric C10–C15 biogenic volatile organic compounds (BVOCs) with sorbent tubes
Heidi Hellén, Toni Tykkä, Simon Schallhart, Evdokia Stratigou, Thérèse Salameh, and Maitane Iturrate-Garcia
Atmos. Meas. Tech., 17, 315–333, https://doi.org/10.5194/amt-17-315-2024, 2024
Even though online measurements of biogenic volatile organic compounds (BVOCs) are becoming more common, the use of sorbent tubes is expected to continue because they offer greater spatial coverage and no infrastructure is required for sampling. In this study the sorbent tube sampling method was optimized and evaluated for the determination of BVOCs in gas-phase samples. Tenax TA sorbent tubes were found to be suitable for the quantitative measurements of C10–C15 BVOCs.

Measuring diameters and velocities of artificial raindrops with a neuromorphic event camera
Kire Micev, Jan Steiner, Asude Aydin, Jörg Rieckermann, and Tobi Delbruck
Atmos. Meas. Tech., 17, 335–357, https://doi.org/10.5194/amt-17-335-2024, 2024
This paper reports a novel rain droplet measurement method that uses a neuromorphic event camera to measure droplet sizes and speeds as they fall through a shallow plane of focus. Experimental results report accuracy similar to a commercial laser sheet disdrometer. Because these measurements are driven by event camera activity, this approach could enable the economical deployment of ubiquitous networks of solar-powered disdrometers.

Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations
Basudev Swain, Marco Vountas, Adrien Deroubaix, Luca Lelli, Yanick Ziegler, Soheila Jafariserajehlou, Sachin S. Gunthe, Andreas Herber, Christoph Ritter, Hartmut Bösch, and John P. Burrows
Atmos. Meas. Tech., 17, 359–375, https://doi.org/10.5194/amt-17-359-2024, 2024
Aerosols are suspensions of particles dispersed in the air. In this study, we use a novel retrieval of satellite data to investigate an optical property of aerosols, the aerosol optical depth, in the high Arctic to assess their direct and indirect roles in climate change. This study demonstrates that the presented approach shows good quality and very promising potential.

Regional validation of the solar irradiance tool SolaRes in clear-sky conditions, with a focus on the aerosol module
Thierry Elias, Nicolas Ferlay, Gabriel Chesnoiu, Isabelle Chiapello, and Mustapha Moulana
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-236,2024
Preprint under review for AMT (discussion: open, 0 comments)
In the solar energy application field, it is important to simulate solar resource anywhere on the globe. We conceived the SolaRes tool to provide precise and accurate estimates of solar resource estimates for any solar plant technology. The paper presents the validation of SolaRes, by comparing estimates with measurements made on two ground-based platforms. Little differences are found, validating SolaRes. Validation is performed in clear-sky conditions when aerosols are main factors.

Atmospheric H2 observations from the NOAA Global Cooperative Air Sampling Network
Gabrielle B. Petron, Andrew M. Crotwell, John Mund, Molly Crotwell, Thomas Mefford, Kirk Thoning, Bradley D. Hall, Duane R. Kitzis, Monica Madronich, Eric Moglia, Don Neff, Sonja Wolter, Armin Jordan, Paul Krummel, Ray Langenfelds, and John D. Patterson
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-4,2024
Preprint under review for AMT (discussion: open, 0 comments)
Hydrogen, (H2) is a gas in trace amounts in the Earth’s atmosphere with indirect impacts on climate and air quality. Renewed interest in H2 as a low or zero carbon source of energy may lead to increased production, uses and supply chain emissions. NOAA measurements starting in 2009 were reprocessed to be on an internationally recognized H2 calibration scale. Time records from 70 sites in mostly remote locations complement other datasets to study H2 sources and sinks and their variability.

Cloud optical and physical properties retrieval from EarthCARE multi-spectral imager: the M-COP products
Anja Hünerbein, Sebastian Bley, Hartwig Deneke, Jan Fokke Meirink, Gerd-Jan van Zadelhoff, and Andi Walther
Atmos. Meas. Tech., 17, 261–276, https://doi.org/10.5194/amt-17-261-2024, 2024
The ESA cloud, aerosol and radiation mission EarthCARE will provide active profiling and passive imaging measurements from a single satellite platform. The passive multi-spectral imager (MSI) will add information in the across-track direction. We present the cloud optical and physical properties algorithm, which combines the visible to infrared MSI channels to determine the cloud top pressure, optical thickness, particle size and water path.

Machine learning approaches for automatic classification of single-particle mass spectrometry data
Guanzhong Wang, Heinrich Ruser, Julian Schade, Johannes Passig, Thomas Adam, Günther Dollinger, and Ralf Zimmermann
Atmos. Meas. Tech., 17, 299–313, https://doi.org/10.5194/amt-17-299-2024, 2024
This research aims to develop a novel warning system for the real-time monitoring of pollutants in the atmosphere. The system is capable of sampling and investigating airborne aerosol particles on-site, utilizing artificial intelligence to learn their chemical signatures and to classify them in real time. We applied single-particle mass spectrometry for analyzing the chemical composition of aerosol particles and suggest several supervised algorithms for highly reliable automatic classification.

Absolute radiance calibration in the UV and visible spectral range using atmospheric observations during twilight
Thomas Wagner and Jānis Puķīte
Atmos. Meas. Tech., 17, 277–297, https://doi.org/10.5194/amt-17-277-2024, 2024
We present a radiance calibration method based on the comparison of measurements and radiative transfer simulations of the zenith-scattered sun radiance during twilight. Cloud-free conditions are required. The method can be applied to measurements in the filed, and no laboratory measurements are required. The accuracy is estimated to range from about 4 % at 340 nm to about 10 % at 700 nm.