Publications

2021, David, L., et al., XCO2 estimates from the OCO-2 measurements using a neural network approach, Atmospheric Measurement Techniques, 14, 117–132, https://doi.org/10.5194/amt-14-117-2021
Tags: FTIR, XCO2

2021, Noel, S., et al., XCO2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm, Atmospheric Measurement Techniques, 14, 3837–3869, https://doi.org/10.5194/amt-14-3837-2021
Tags: FTIR, XCO2

2021, Wing, R., S. Godin-Beekmann, W. Steinbrecht, T.J. Mcgee, J.T. Sullivan, S. Khaykin, G. Sumnicht, and L. Twigg, Evaluation of the new DWD ozone and temperature lidar during the Hohenpeißenberg Ozone Profiling Study (HOPS) and comparison of results with previous NDACC campaigns, Atmospheric Measurement Techniques, 14(5), 3773-3794, https://doi.org/10.5194/amt-14-3773-2021
Tags: Lidar, Ozone, Temperature, Validation

2021, Brunamonti, S., Martucci, G., Romanens, G., Poltera, Y., Wienhold, F. G., Hervo, M., Haefele, A., and Navas-Guzmán, F., Validation of aerosol backscatter profiles from Raman lidar and ceilometer using balloon-borne measurements, Atmospheric Chemistry and Physics, 21, 2267–2285, https://doi.org/10.5194/acp-21-2267-2021
Tags: Lidar, Sonde, Temperature

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

2020, Di Girolamo, P., B. De Rosa, C. Flamant, D. Summa, O. Bousquet, P. Chazette, J. Totems, M. Cacciani, Water vapour mixing ratio and temperature inter-comparison results in framework of the Hydrological Cycle in the Mediterranean Experiment—Special Observation Period 1, Bulletin of Atmospheric Science and Technology, 1, 113–153, https://doi.org/10.1007/s42865-020-00008-3
Tags: H2O, Lidar, Temperature

2020, Steiner, A.K., et al., Observed Temperature Changes in the Troposphere and Stratosphere from 1979 to 2018, Journal of Climate, 33(19), 8165–8194, https://doi.org/10.1175/JCLI-D-19-0998.1
Tags: Lidar, Temperature

2020, Yang, D., et al., Toward high precision XCO2 retrievals from TanSat observations: Retrieval improvement and validation against TCCON measurements, Journal of Geophysical Research: Atmospheres, 125, e2020JD032794, https://doi.org/10.1029/2020JD032794
Tags: FTIR, XCO2

2020, von Clarmann, T., Degenstein, D. A., Livesey, N. J., Bender, S., Braverman, A., Butz, A., Compernolle, S., Damadeo, R., Dueck, S., Eriksson, P., Funke, B., Johnson, M. C., Kasai, Y., Keppens, A., Kleinert, A., Kramarova, N. A., Laeng, A., Langerock, B., Payne, V. H., Rozanov, A., Sato, T. O., Schneider, M., Sheese, P., Sofieva, V., Stiller, G. P., von Savigny, C., and Zawada, D., Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature, Atmospheric Measurement Techniques, 13, 4393–4436, https://doi.org/10.5194/amt-13-4393-2020
Tags: FTIR, Satellite, Temperature

2020, Fassò, A., M. Sommer, and C. von Rohden, Interpolation uncertainty of atmospheric temperature radiosoundings, Atmospheric Measurement Techniques, 13(12), 6445–6458, https://doi.org/10.5194/amt-13-6445-2020
Tags: Sonde, Temperature