Publications

2021, Keckhut, P., Hauchecorne A., Meftah M., Khaykin S., Claud C., Simoneau P., Middle-Atmosphere Temperature Monitoring Addressed with a Constellation of CubeSats dedicated to Climate issues, Journal of Atmospheric and Oceanic Technology, 38(3), 685–693, https://doi.org/10.1175/JTECH-D-20-0046.1
Tags: Lidar, Satellite, Temperature

2021, Klanner, L., K. Höveler, D. Khordakova, M. Perfahl, C. Rolf, T. Trickl, H. Vogelmann, 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, Atmospheric Measurement Techniques, 14, 531–555, https://doi.org/10.5194/amt-14-531-2021
Tags: Lidar, Temperature, H2O

2021, Loira-Salazar, S., S. Marcela, Andrew M. Sayer, John Barnes, Jingting Huang, Connor Flynn, Neil Lareau, Jaehwa Lee, Alexei Lyapustin, Jens Redemann, Ellsworth J. Welton, Joseph L. Wilkins and Heather A. Holmes, Evaluation of Novel NASA Moderate Resolution Imaging Spectroradiometer and Visible Infrared Imaging Radiometer Suite Aerosol Products and Assessment of Smoke Height Boundary Layer Ratio During Extreme Smoke Events in the Western USA, Journal of Geophysical Research: Atmospheres, 126, 11, https://doi.org/10.1029/2020JD034180
Tags: Lidar, Aerosol, Fire

2021, Madonna, F., Summa, D.; Girolamo, P.D.; Marra, F.; Wang, Y.; Rosoldi, M., Assessment of Trends and Uncertainties in the Atmospheric Boundary Layer Height Estimated using Radiosounding Observations over Europe, Atmosphere, 12, 301, https://doi.org/10.3390/atmos12030301
Tags: Lidar, Sonde, Trends

2021, Verhoelst, T., Compernolle, S., Pinardi, G., Lambert, J.-C., Eskes, H. J., Eichmann, K.-U., Fjæraa, A. M., Granville, J., Niemeijer, S., Cede, A., Tiefengraber, M., Hendrick, F., Pazmiño, A., Bais, A., Bazureau, A., Boersma, K. F., Bo Marais, E. A., Roberts, J. F., Ryan, R. G., Eskes, H., Boersma, K. F., Choi, S., Joiner, J., Abuhassan, N., Redondas, A., Grutter, M., Cede, A., Gomez, L., and Navarro-Comas, M, New observations of NO2 in the upper troposphere from TROPOMI, Atmospheric Measurement Techniques, 14, 2389–2408, https://doi.org/10.5194/amt-14-2389-2021
Tags: UVVis, Satellite, NO2

2021, Marlton, G., et al., Using a network of temperature lidars to identify temperature biases in the upper stratosphere in ECMWF reanalyses, Atmospheric Chemistry and Physics, 21(8), 6079–6092, https://doi.org/10.5194/acp-21-6079-2021
Tags: Lidar, Model, Temperature

2021, Martucci, G., Navas-Guzmán, F., Renaud, L., Romanens, G., Gamage, S. M., Hervo, M., Jeannet, P., and Haefele, A., Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne, Atmospheric Measurement Techniques, 14, 1333–1353, https://doi.org/10.5194/amt-14-1333-2021
Tags: Lidar, Temperature

2021, Pinardi, G., Van Roozendael, M., Hendrick, F., Theys, N., Abuhassan, N., Bais, A., Boersma, F., Cede, A., Chong, J., Donner, S., Drosoglou, T., Dzhola, A., Eskes, H., Frieß, U., Granville, J., Herman, J. R., Holla, R., Hovila, J., Irie, H., Kanaya, Y., Karagkiozidis, D., Kouremeti, N., Lambert, J.-C., Ma, J., Peters, E., Piters, A., Postylyakov, O., Richter, A., Remmers, J., Takashima, H., Tiefengraber, M., Valks, P., Vlemmix, T., Wagner, T., and Wittrock, F, Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations, Atmospheric Measurement Techniques, 13, 6141–6174, https://doi.org/10.5194/amt-13-6141-2020
Tags: UVVis, Satellite, CalVal, NO2

2021, Sepúlveda, E., Cordero, R.R., Damiani, A. et al., Evaluation of Antarctic Ozone Profiles derived from OMPS-LP by using Balloon-borne Ozonesondes, Scientific Reports, 872506, https://doi.org/10.1038/s41598-021-81954-6
Tags: CalVal, Ozone, Satellite, Sonde

2021, Stanevich, I., D.B.A. Jones, K. Strong, M. Keller, D.K. Henze, R.J. Parker, H. Boesch, D. Wunch, J. Notholt, C. Petri, T. Warneke, R. Sussmann, M. Schneider, F. Hase, R. Kivi, N.M. Deutscher, V.A. Velazco, K.A. Walker, and F. Deng, Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation, Atmospheric Chemistry and Physics, 21, 9545–9572, https://doi.org/10.5194/acp-21-9545-2021
Tags: FTIR, Satellite, CH4, XCH4