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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.

Ground-based validation of the Copernicus Sentinel-5p TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks
Tijl Verhoelst, Steven Compernolle, Gaia Pinardi, Jean-Christopher Lambert, Henk J. Eskes, Kai-Uwe Eichmann, Ann Mari Fjæraa, José Granville, Sander Niemeijer, Alexander Cede, Martin Tiefengraber, François Hendrick, Andrea Pazmiño, Alkiviadis Bais, Ariane Bazureau, K. Folkert Boersma, Kristof Bognar, Angelika Dehn, Sebastian Donner, Aleksandr Elokhov, Manuel Gebetsberger, Florence Goutail, Michel Grutter de la Mora, Aleksandr Gruzdev, Myrto Gratsea, Georg H. Hansen, Hitoshi Irie, Nis Jepsen, Yugo Kanaya, Dimitris Karagkiozidis, Rigel Kivi, Karin Kreher, Pieternel F. Levelt, Cheng Liu, Moritz Müller, Monica Navarro Comas, Ankie J. M. Piters, Jean-Pierre Pommereau, Thierry Portafaix, Olga Puentedura, Richard Querel, Julia Remmers, Andreas Richter, John Rimmer, Claudia Rivera Cárdenas, Lidia Saavedra de Miguel, Valery P. Sinyakov, Kimberley Strong, Michel Van Roozendael, J. Pepijn Veefkind, Thomas Wagner, Folkard Wittrock, Margarita Yela González, and Claus Zehner
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-119,2020
Preprint under review for AMT (discussion: open, 0 comments)
This paper reports on the ground-based validation of the NO2 data produced operationally by the TROPOMI instrument on board the Sentinel-5 Precursor satellite. Tropospheric, stratospheric, and total NO2 columns are compared to measurements collected from MAX-DOAS, ZSL-DOAS, and PGN/Pandora instruments respectively. The products are found to satisfy mission requirements in general, though negative mean differences are found at sites with high pollution levels. Potential causes are discussed.

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.

Ground-based validation of the Copernicus Sentinel-5p TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks
Tijl Verhoelst, Steven Compernolle, Gaia Pinardi, Jean-Christopher Lambert, Henk J. Eskes, Kai-Uwe Eichmann, Ann Mari Fjæraa, José Granville, Sander Niemeijer, Alexander Cede, Martin Tiefengraber, François Hendrick, Andrea Pazmiño, Alkiviadis Bais, Ariane Bazureau, K. Folkert Boersma, Kristof Bognar, Angelika Dehn, Sebastian Donner, Aleksandr Elokhov, Manuel Gebetsberger, Florence Goutail, Michel Grutter de la Mora, Aleksandr Gruzdev, Myrto Gratsea, Georg H. Hansen, Hitoshi Irie, Nis Jepsen, Yugo Kanaya, Dimitris Karagkiozidis, Rigel Kivi, Karin Kreher, Pieternel F. Levelt, Cheng Liu, Moritz Müller, Monica Navarro Comas, Ankie J. M. Piters, Jean-Pierre Pommereau, Thierry Portafaix, Olga Puentedura, Richard Querel, Julia Remmers, Andreas Richter, John Rimmer, Claudia Rivera Cárdenas, Lidia Saavedra de Miguel, Valery P. Sinyakov, Kimberley Strong, Michel Van Roozendael, J. Pepijn Veefkind, Thomas Wagner, Folkard Wittrock, Margarita Yela González, and Claus Zehner
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-119,2020
Preprint under review for AMT (discussion: open, 0 comments)
This paper reports on the ground-based validation of the NO2 data produced operationally by the TROPOMI instrument on board the Sentinel-5 Precursor satellite. Tropospheric, stratospheric, and total NO2 columns are compared to measurements collected from MAX-DOAS, ZSL-DOAS, and PGN/Pandora instruments respectively. The products are found to satisfy mission requirements in general, though negative mean differences are found at sites with high pollution levels. Potential causes are discussed.

Update of Infrared Atmospheric Sounding Interferometer (IASI) channel selection with correlated observation errors for numerical weather prediction (NWP)
Olivier Coopmann, Vincent Guidard, Nadia Fourrié, Béatrice Josse, and Virginie Marécal
Atmos. Meas. Tech., 13, 2659–2680, https://doi.org/10.5194/amt-13-2659-2020, 2020
The objective of this paper is to make a new selection of IASI channels by taking into account inter-channel observation-error correlations. Our selection further reduces the analysis error by 3 % in temperature, 1.8 % in humidity and 0.9 % in ozone compared to Collard’s selection, when using the same number of channels. A selection of 400 IASI channels is proposed at the end of the paper which is able to further reduce analysis errors.

Methane emissions from an oil sands tailings pond: A quantitative comparison of fluxes derived by different methods
Yuan You, Ralf M. Staebler, Samar G. Moussa, James Beck, and Richard L. Mittermeier
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-116,2020
Preprint under review for AMT (discussion: open, 0 comments)
Tailings ponds in the Alberta Oil Sands can be significant sources of methane, an important greenhouse gas. This paper describes a one-month study conducted in 2017 to measure methane emissions from a pond using a variety of sophisticated micrometeorological flux methods, and demonstrates the advantages of these methods over flux chambers.

A local to national-scale inverse modeling system to assess the potential of spaceborne CO