Aqueous particle generation with a 3D printed nebulizer
Michael Rösch and Daniel J. Cziczo
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-155,2020
Preprint under review for AMT (discussion: open, 0 comments)
The need for a simple atomizer with a high output stability combined with the capabilities of CAD software and high resolution 3D printing has allowed for the design, production and testing of the PRinted drOpleT Generator (PROTeGE) to generate liquid particles from solutions. The size and number concentrations of the generated particles has been characterized with different ammonium sulfate and PSL solutions. PROTeGE is easy to operate, requires minimal maintenance and is cost-effective.
New technique for high-precision, simultaneous measurements of
CH
Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements
Ilona Ylivinkka, Santeri Kaupinmäki, Meri Virman, Maija Peltola, Ditte Taipale, Tuukka Petäjä, Veli-Matti Kerminen, Markku Kulmala, and Ekaterina Ezhova
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-130,2020
Preprint under review for AMT (discussion: open, 1 comment)
In this study, we developed a new algorithm for cloud classification using solar radiation and cloud base height measurements. Our objective was to develop a simple and inexpensive but effective algorithm for the needs of studies related ecosystem and atmosphere interactions. In the present study, we used the algorithm for obtaining cloud statistics at a measurement station in southern Finland and we discuss on the advantages and shortcomings of the algorithm.
Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements
Ilona Ylivinkka, Santeri Kaupinmäki, Meri Virman, Maija Peltola, Ditte Taipale, Tuukka Petäjä, Veli-Matti Kerminen, Markku Kulmala, and Ekaterina Ezhova
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-130,2020
Preprint under review for AMT (discussion: open, 1 comment)
In this study, we developed a new algorithm for cloud classification using solar radiation and cloud base height measurements. Our objective was to develop a simple and inexpensive but effective algorithm for the needs of studies related ecosystem and atmosphere interactions. In the present study, we used the algorithm for obtaining cloud statistics at a measurement station in southern Finland and we discuss on the advantages and shortcomings of the algorithm.
An improved post-processing technique for automatic precipitation gauge time series
Amber Ross, Craig D. Smith, and Alan Barr
Atmos. Meas. Tech., 13, 2979–2994, https://doi.org/10.5194/amt-13-2979-2020, 2020
The raw data derived from most automated accumulating precipitation gauges often suffer from non-precipitation-related fluctuations in the measurement of the gauge bucket weights from which the precipitation amount is determined. This noise can be caused by electrical interference, mechanical noise, and evaporation. This paper presents an automated filtering technique that builds on the principle of iteratively balancing noise to produce a clean precipitation time series.
Comparing lightning observations of the ground-based European lightning location system EUCLID and the space-based Lightning Imaging Sensor (LIS) on the International Space Station (ISS)
Dieter R. Poelman and Wolfgang Schulz
Atmos. Meas. Tech., 13, 2965–2977, https://doi.org/10.5194/amt-13-2965-2020, 2020
The objective of this work is to quantify the similarities and contrasts between the lightning observations from the Lightning Imaging Sensor (LIS) on the International Space Station (ISS) and the ground-based European Cooperation for Lightning Detection (EUCLID) network. This work is timely, given that the Meteosat Third Generation (MTG), which has a lightning imager (LI) on board, is going to be launched in 2 years.
An improved post-processing technique for automatic precipitation gauge time series
Amber Ross, Craig D. Smith, and Alan Barr
Atmos. Meas. Tech., 13, 2979–2994, https://doi.org/10.5194/amt-13-2979-2020, 2020
The raw data derived from most automated accumulating precipitation gauges often suffer from non-precipitation-related fluctuations in the measurement of the gauge bucket weights from which the precipitation amount is determined. This noise can be caused by electrical interference, mechanical noise, and evaporation. This paper presents an automated filtering technique that builds on the principle of iteratively balancing noise to produce a clean precipitation time series.
Comparing lightning observations of the ground-based European lightning location system EUCLID and the space-based Lightning Imaging Sensor (LIS) on the International Space Station (ISS)
Dieter R. Poelman and Wolfgang Schulz
Atmos. Meas. Tech., 13, 2965–2977, https://doi.org/10.5194/amt-13-2965-2020, 2020
The objective of this work is to quantify the similarities and contrasts between the lightning observations from the Lightning Imaging Sensor (LIS) on the International Space Station (ISS) and the ground-based European Cooperation for Lightning Detection (EUCLID) network. This work is timely, given that the Meteosat Third Generation (MTG), which has a lightning imager (LI) on board, is going to be launched in 2 years.
Unsupervised classification of snowflake images using a generative adversarial network and
Unsupervised classification of snowflake images using a generative adversarial network and
Correcting high-frequency losses of reactive nitrogen flux measurements
Pascal Wintjen, Christof Ammann, Frederik Schrader, and Christian Brümmer
Atmos. Meas. Tech., 13, 2923–2948, https://doi.org/10.5194/amt-13-2923-2020, 2020
With recent technological advances it is now possible to measure the exchange of trace gases between the land surface and the atmosphere. When using the so-called eddy-covariance method, certain corrections need to be applied to account for attenuation in the flux signal. These losses were found to be setup- and site-specific and can be up to 38 % for reactive nitrogen fluxes. We evaluated five different methods and recommend using an empirical version with locally measured cospectra.
Correcting high-frequency losses of reactive nitrogen flux measurements
Pascal Wintjen, Christof Ammann, Frederik Schrader, and Christian Brümmer
Atmos. Meas. Tech., 13, 2923–2948, https://doi.org/10.5194/amt-13-2923-2020, 2020
With recent technological advances it is now possible to measure the exchange of trace gases between the land surface and the atmosphere. When using the so-called eddy-covariance method, certain corrections need to be applied to account for attenuation in the flux signal. These losses were found to be setup- and site-specific and can be up to 38 % for reactive nitrogen fluxes. We evaluated five different methods and recommend using an empirical version with locally measured cospectra.
A novel injection technique: using a field-based quantum cascade laser for the analysis of gas samples derived from static chambers
Anne R. Wecking, Vanessa M. Cave, Lìyĭn L. Liáng, Aaron M. Wall, Jiafa Luo, David I. Campbell, and Louis A. Schipper
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-197,2020
Preprint under review for AMT (discussion: open, 0 comments)
Nitrous oxide (N
A novel injection technique: using a field-based quantum cascade laser for the analysis of gas samples derived from static chambers
Anne R. Wecking, Vanessa M. Cave, Lìyĭn L. Liáng, Aaron M. Wall, Jiafa Luo, David I. Campbell, and Louis A. Schipper
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-197,2020
Preprint under review for AMT (discussion: open, 0 comments)
Nitrous oxide (N
Resolving the size of ice-nucleating particles with a balloon deployable aerosol sampler: the SHARK
Grace C. E. Porter, Sebastien N. F. Sikora, Michael P. Adams, Ulrike Proske, Alexander D. Harrison, Mark D. Tarn, Ian M. Brooks, and Benjamin J. Murray
Atmos. Meas. Tech., 13, 2905–2921, https://doi.org/10.5194/amt-13-2905-2020, 2020
Ice-nucleating particles affect cloud development, lifetime, and radiative properties. Hence it is important to know the abundance of INPs throughout the atmosphere. Here we present the development and application of a radio-controlled payload capable of collecting size-resolved aerosol from a tethered balloon for the primary purpose of offline INP analysis. Test data are presented from four locations: southern Finland, northern England, Svalbard, and southern England.
Towards spaceborne monitoring of localized CO
Resolving the size of ice-nucleating particles with a balloon deployable aerosol sampler: the SHARK
Grace C. E. Porter, Sebastien N. F. Sikora, Michael P. Adams, Ulrike Proske, Alexander D. Harrison, Mark D. Tarn, Ian M. Brooks, and Benjamin J. Murray
Atmos. Meas. Tech., 13, 2905–2921, https://doi.org/10.5194/amt-13-2905-2020, 2020
Ice-nucleating particles affect cloud development, lifetime, and radiative properties. Hence it is important to know the abundance of INPs throughout the atmosphere. Here we present the development and application of a radio-controlled payload capable of collecting size-resolved aerosol from a tethered balloon for the primary purpose of offline INP analysis. Test data are presented from four locations: southern Finland, northern England, Svalbard, and southern England.
Towards spaceborne monitoring of localized CO
XCO2 estimates from the OCO-2 measurements using a neural network approach
Leslie David, Francois-Marie Bréon, and Frédéric Chevallier
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-177,2020
Preprint under review for AMT (discussion: open, 0 comments)
This paper shows that a Neural Network approach can be used to process spaceborne observations from the OCO-2 satellite and retrieve both the surface pressure and the atmospheric CO
XCO2 estimates from the OCO-2 measurements using a neural network approach
Leslie David, Francois-Marie Bréon, and Frédéric Chevallier
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-177,2020
Preprint under review for AMT (discussion: open, 0 comments)
This paper shows that a Neural Network approach can be used to process spaceborne observations from the OCO-2 satellite and retrieve both the surface pressure and the atmospheric CO
