Publications

2022, Trieu, T.T.N., I. Morino, O. Uchino, Y. Tsutsumi, T. Sakai, T. Nagai, A. Yamazaki, H. Okumura, K. Arai, K. Shiomi, D.F. Pollard, B. Liley , Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data, International Journal of Remote Sensing, 43:5, 1770-1799, https://doi.org/10.1080/01431161.2022.2038395
Tags: Aerosol, Clouds, FTIR, Lidar, Satellite, UVVis, XCH4, 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, 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

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, Puķīte, J., Borger, C., Dörner, S., Gu, M., Frieß, U., Meier, A. C., Enell, C.-F., Raffalski, U., Richter, A., and Wagner, T., Retrieval algorithm for OClO from TROPOMI (TROPOspheric Monitoring Instrument) by differential optical absorption spectroscopy, Atmospheric Measurement Techniques, 14, 7595–7625, https://doi.org/10.5194/amt-14-7595-2021
Tags: Algorithm, OClO, Satellite, UVVis

2020, Eleftheratos, K., Kapsomenakis, J.; Zerefos, C.S.; Bais, A.F.; Fountoulakis, I.; Dameris, M.; Jöckel, P.; Haslerud, A.S.; GodinBeekmann, S.; Steinbrecht, W.; Petropavlovskikh, I.; Brogniez, C.; Leblanc, T.; Liley, J.B.; Querel, R.; Swart, D.P.J., Possible Effects of Greenhouse Gases to Ozone Profiles and DNA Active UV-B Irradiance at Ground Level, Atmosphere, 11, 228, https://doi.org/10.3390/atmos11030228
Tags: Lidar, Ozone, Spectral UV, UVB

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, Bernhard, G., S. Stierle, Trends of UV Radiation in Antarctica, Atmosphere, 11(8), 795, https://doi.org/10.3390/atmos11080795
Tags: Spectral UV, Trends, 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