Understanding cryogenic frost point hygrometer measurements after contamination by mixed-phase clouds
Teresa Jorge, Simone Brunamonti, Yann Poltera, Frank G. Wienhold, Bei P. Luo, Peter Oelsner, Sreeharsha Hanumanthu, Bhupendra B. Sing, Susanne Körner, Ruud Dirksen, Manish Naja, Suvarna Fadnavis, and Thomas Peter
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-176,2020
Preprint under review for AMT (discussion: open, 0 comments)
Balloon-borne frost point hygrometers are crucial for the monitoring of water vapour in the upper troposphere and lower stratosphere. We found that when traversing a mixed-phase cloud with big supercooled droplets, the intake tube of the instrument collects on its inner surface a high percentage of these droplets. The newly formed ice layer will sublimate at higher levels and contaminate the measurement. The balloon and instrument package are also investigated as source of the contamination.
Total column water vapour retrieval from S-5P/TROPOMI in the visible blue spectral range
Christian Borger, Steffen Beirle, Steffen Dörner, Holger Sihler, and Thomas Wagner
Atmos. Meas. Tech., 13, 2751–2783, https://doi.org/10.5194/amt-13-2751-2020, 2020
We present a total column water vapour (TCWV) retrieval analysing measurements from S-5P/TROPOMI in the visible blue spectral range. The retrieval can well capture the global water vapour distribution with similar sensitivity over the land and ocean and agrees well with various reference data sets within the estimated TCWV uncertainties of typically around 10 %–20 %.
A pyroelectric thermal sensor for automated ice nucleation detection
Fred Cook, Rachel Lord, Gary Sitbon, Adam Stephens, Alison Rust, and Walther Schwarzacher
Atmos. Meas. Tech., 13, 2785–2795, https://doi.org/10.5194/amt-13-2785-2020, 2020
We present a cheap, adaptable, and easily assembled thermal sensor for detecting microlitre droplets of water freezing. The sensor was developed to increase the level of automation in droplet array ice nucleation experiments, reducing the total amount of time required for each experiment. As a proof of concept, we compare the ice-nucleating efficiency of a crystalline and glassy sample of K-feldpsar. The glassy sample was found to be a less efficient ice nucleator at higher temperatures.
A powerful lidar system capable of one-hour measurements of water vapour in the troposphere and the lower stratosphere as well as the temperature in the upper stratosphere and mesosphere
Lisa Klanner, Katharina Höveler, Dina Khordakova, Matthias Perfahl, Christian Rolf, Thomas Trickl, and Hannes Vogelmann
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-90,2020
Preprint under review for AMT (discussion: open, 0 comments)
The importance of water vapour as the most influential greenhouse gas and for the air composition calls for detailed investigations. The details of the highly inhomogeneous distribution of water vapour can be determined with lidar, the very low concentrations at high altitudes imposing a major challenge. An existing water-vapour lidar in the Bavarian Alps was recently complemented by a powerful Raman lidar that provides water vapour up to 20 km and temperature up to 90 km with just one hour.
Total column water vapour retrieval from S-5P/TROPOMI in the visible blue spectral range
Christian Borger, Steffen Beirle, Steffen Dörner, Holger Sihler, and Thomas Wagner
Atmos. Meas. Tech., 13, 2751–2783, https://doi.org/10.5194/amt-13-2751-2020, 2020
We present a total column water vapour (TCWV) retrieval analysing measurements from S-5P/TROPOMI in the visible blue spectral range. The retrieval can well capture the global water vapour distribution with similar sensitivity over the land and ocean and agrees well with various reference data sets within the estimated TCWV uncertainties of typically around 10 %–20 %.
A pyroelectric thermal sensor for automated ice nucleation detection
Fred Cook, Rachel Lord, Gary Sitbon, Adam Stephens, Alison Rust, and Walther Schwarzacher
Atmos. Meas. Tech., 13, 2785–2795, https://doi.org/10.5194/amt-13-2785-2020, 2020
We present a cheap, adaptable, and easily assembled thermal sensor for detecting microlitre droplets of water freezing. The sensor was developed to increase the level of automation in droplet array ice nucleation experiments, reducing the total amount of time required for each experiment. As a proof of concept, we compare the ice-nucleating efficiency of a crystalline and glassy sample of K-feldpsar. The glassy sample was found to be a less efficient ice nucleator at higher temperatures.
A powerful lidar system capable of one-hour measurements of water vapour in the troposphere and the lower stratosphere as well as the temperature in the upper stratosphere and mesosphere
Lisa Klanner, Katharina Höveler, Dina Khordakova, Matthias Perfahl, Christian Rolf, Thomas Trickl, and Hannes Vogelmann
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-90,2020
Preprint under review for AMT (discussion: open, 0 comments)
The importance of water vapour as the most influential greenhouse gas and for the air composition calls for detailed investigations. The details of the highly inhomogeneous distribution of water vapour can be determined with lidar, the very low concentrations at high altitudes imposing a major challenge. An existing water-vapour lidar in the Bavarian Alps was recently complemented by a powerful Raman lidar that provides water vapour up to 20 km and temperature up to 90 km with just one hour.
Model-based climatology of diurnal variability in stratospheric ozone as a data analysis tool
Stacey M. Frith, Pawan K. Bhartia, Luke D. Oman, Natalya A. Kramarova, Richard D. McPeters, and Gordon J. Labow
Atmos. Meas. Tech., 13, 2733–2749, https://doi.org/10.5194/amt-13-2733-2020, 2020
We use the NASA GEOS-GMI chemistry climate model to construct a climatology of stratospheric ozone diurnal variations as a function of latitude, pressure and month, which can be used in a variety of data analysis tasks involving ozone observations made at different times of the day. The climatology compares well with previous modeling simulations and available observations, and to the authors' knowledge is the first characterization of the diurnal cycle available for general ozone data analyses.
Model-based climatology of diurnal variability in stratospheric ozone as a data analysis tool
Stacey M. Frith, Pawan K. Bhartia, Luke D. Oman, Natalya A. Kramarova, Richard D. McPeters, and Gordon J. Labow
Atmos. Meas. Tech., 13, 2733–2749, https://doi.org/10.5194/amt-13-2733-2020, 2020
We use the NASA GEOS-GMI chemistry climate model to construct a climatology of stratospheric ozone diurnal variations as a function of latitude, pressure and month, which can be used in a variety of data analysis tasks involving ozone observations made at different times of the day. The climatology compares well with previous modeling simulations and available observations, and to the authors' knowledge is the first characterization of the diurnal cycle available for general ozone data analyses.
Calibration of an airborne HO
Calibration of an airborne HO
Measurements of Ozone Deposition to a Coastal Sea by Eddy
Covariance
David C. Loades, Mingxi Yang, Thomas G. Bell, Adam R. Vaughan, Ryan J. Pound, Stefan Metzger, James D. Lee, and Lucy J. Carpenter
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-65,2020
Preprint under review for AMT (discussion: open, 0 comments)
The loss of ozone to the sea surface was measured from the south coast of the UK, and was found to be more rapid than previous observations over the open ocean. This is likely a consequence of different chemistry and biology in coastal environments. Strong winds appeared to speed up the loss of ozone. A better understanding of what influences ozone loss over the sea will lead to better model estimates of total ozone in the troposphere.
Long-term reliability of the Figaro TGS 2600 solid-state methane sensor under low-Arctic conditions at Toolik Lake, Alaska
Werner Eugster, James Laundre, Jon Eugster, and George W. Kling
Atmos. Meas. Tech., 13, 2681–2695, https://doi.org/10.5194/amt-13-2681-2020, 2020
Measuring ambient methane concentrations requires expensive optical sensors. The first electrochemical analyzer that shows a response to ambient levels of methane is now available. We present the first long-term deployment of such sensors in an arctic environment (temperatures from −41 to 27 °C). We present a method based on these measurements to convert the signal to methane concentrations (corrected for the effects of air temperature and relative humidity) and ensure long-term stability.
Measurements of Ozone Deposition to a Coastal Sea by Eddy
Covariance
David C. Loades, Mingxi Yang, Thomas G. Bell, Adam R. Vaughan, Ryan J. Pound, Stefan Metzger, James D. Lee, and Lucy J. Carpenter
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-65,2020
Preprint under review for AMT (discussion: open, 0 comments)
The loss of ozone to the sea surface was measured from the south coast of the UK, and was found to be more rapid than previous observations over the open ocean. This is likely a consequence of different chemistry and biology in coastal environments. Strong winds appeared to speed up the loss of ozone. A better understanding of what influences ozone loss over the sea will lead to better model estimates of total ozone in the troposphere.
Long-term reliability of the Figaro TGS 2600 solid-state methane sensor under low-Arctic conditions at Toolik Lake, Alaska
Werner Eugster, James Laundre, Jon Eugster, and George W. Kling
Atmos. Meas. Tech., 13, 2681–2695, https://doi.org/10.5194/amt-13-2681-2020, 2020
Measuring ambient methane concentrations requires expensive optical sensors. The first electrochemical analyzer that shows a response to ambient levels of methane is now available. We present the first long-term deployment of such sensors in an arctic environment (temperatures from −41 to 27 °C). We present a method based on these measurements to convert the signal to methane concentrations (corrected for the effects of air temperature and relative humidity) and ensure long-term stability.
Spectral correction of turbulent energy damping on wind LiDAR measurements due to range-gate averaging
Matteo Puccioni and Giacomo Valerio Iungo
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-27,2020
Preprint under review for AMT (discussion: open, 0 comments)
A procedure for correcting the turbulent-energy damping connected with the range-gate averaging of wind LiDARs is proposed. This effect of the LiDAR measuring process is modeled through a low-pass filter, whose order and cut-off frequency are estimated directly from the LiDAR data. The proposed procedure is first assessed through simultaneous and co-located LiDAR and sonic-anemometer measurements, then it is applied to several datasets collected at sites with different terrain roughness.
