Publications

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, Massie, S.T., et al., Analysis of 3D cloud effects in OCO-2 XCO2 retrievals, Atmospheric Measurement Techniques, 14, 1475–1499, https://doi.org/10.5194/amt-14-1475-2021
Tags: FTIR, XCO2

2021, Dogniaux, M., C. Crevoisier, R. Armante, V. Capelle, T. Delahaye, V. Cassé, M. De Mazière, N. M. Deutscher, D.G. Feist, O.E. Garcia, D.W.T. Griffith, F. Hase, L.T. Iraci, R. Kivi, I. Morino, J. Notholt, D.F. Pollard, C.M. Roehl, K. Shiomi, K. Strong, Y. Té, V.A. Velazco, and T. Warneke, The Adaptable 4A Inversion (5AI): description and first XCO2 retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations, Atmospheric Measurement Techniques, 14, 4689–4706, https://doi.org/10.5194/amt-14-4689-2021
Tags: FTIR, Satellite, XCO2

2020, Allen, M.W., et al., Use of electronic UV dosimeters in measuring personal UV exposures and public health education, Atmosphere, 11, 744, https://doi.org/10.3390/atmos11070744
Tags: Health, Spectral UV, UVB

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, Borro, M., Di Girolamo, P.; Gentile, G.; De Luca, O.; Preissner, R.; Marcolongo, A.; Ferracuti, S.; Simmaco, M, Evidence-Based Considerations Exploring Relations between SARS-CoV-2 Pandemic and Air Pollution: Involvement of PM2.5-Mediated Up-Regulation of the Viral Receptor ACE-2, International Journal of Environmental Research and Public Health, 17(15), 5573, https://doi.org/10.3390/ijerph17155573
Tags: Lidar, Aerosol, Health

2020, Di Girolamo, P., Assessment of the potential role of atmospheric particulate pollution and airborne transmission in intensifying the first wave pandemic impact of SARS-CoV-2/COVID-19 in Northern Italy, Bulletin of Atmospheric Science and Technology, 1, 515–550, https://doi.org/10.1007/s42865-020-00024-3
Tags: Lidar, Aerosol, Health

2019, Schneising, O., M. Buchwitz, M. Reuter, H. Bovensmann, J.P. Burrows, T. Borsdorff, N.M. Deutscher, D.G. Feist, D.W.T. Griffith, F. Hase, C. Hermans, L.T. Iraci, R. Kivi, J. Landgraf, I. Morino, J. Notholt, C. Petri, D.F. Pollard, S. Roche, K. Shiomi, K. Strong, R. Sussmann, V.A. Velazco, T. Warneke, and D. Wunch, A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor, Atmospheric Measurement Techniques, 12, 6771–6802, https://doi.org/10.5194/amt-12-6771-2019
Tags: Algorithm, CH4, CO, FTIR, Satellite

2019, Jalali, A., Shannon Hicks-Jalali, Robert Sica, Alexander Haefele, Thomas von Clarmann, A practical information-centered technique to remove a priori information from lidar optimalestimation-method retrievals., Atmospheric Measurement Techniques, 12: 3943–3961
Tags: Algorithm, Lidar

2019, Frieß, U., Beirle, S., Alvarado Bonilla, L., Bösch, T., Friedrich, M. M., Hendrick, F., Piters, A., Richter, A., van Roozendael, M., Rozanov, V. V., Spinei, E., Tirpitz, J.-L., Vlemmix, T., Wagner, T., and Wang, Y., Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data, Atmospheric Measurement Techniques, 12, 2155–2181, https://doi.org/10.5194/amt-12-2155-2019
Tags: Algorithm, UVVis