Publications

2023, Ratynski, M., Khaykin, S., Hauchecorne, A., Wing, R., Cammas, J.-P., Hello, Y., Keckhut, P., Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence, Atmospheric Measurement Techniques, 16, 997–1016, https://doi.org/10.5194/amt-16-997-2023,
Tags: Lidar, Validation, Wind

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, 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, 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, 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

2020, Khaykin, S., Hauchecorne A., Wing R., Keckhut P., Godin-Beekmann S., Porteneuve J., Mariscal J.-F., Schmitt J., Doppler lidar at Observatoire de Haute Provence for wind profiling up to 75 km altitude: performance evaluation and observations, Atmospheric Measurement Techniques, 13 (3), 1501-1516, https://doi.org/10.5194/amt-13-1501-2020
Tags: Lidar, Wind

2019, Mendonca, J., K. Strong, D. Wunch, G.C. Toon, D.A. Long, J.T. Hodges, V.T. Sironneau, and J.E. Franklin, Using a speed-dependent Voigt line shape to retrieve O2 from Total Carbon Column Observing Network solar spectra to improve measurements of XCO2, Atmospheric Measurement Techniques, 12, 35-50, https://doi.org/10.5194/amt-12-35-2019
Tags: FTIR, O2, XCO2

2018, Rüfenacht, R., Baumgarten, G.; Hildebrand, J.; Schranz, F.; Matthias, V.; Stober, G.; Lübken, F.-J.; Kämpfer, N., Intercomparison of Middle-Atmospheric Wind in Observations and Models, Atmospheric Measurement Techniques, 11 (4), 1971-1987, https://doi.org/10.5194/amt-11-1971-2018
Tags: Microwave, Model, Wind

2015, Barthlott, S., M. Schneider, F. Hase, A. Wiegele, E. Christner, Y. Gonzalez, T. Blumenstock, S. Dohe, O. E. Garcia, E. Sepulveda, K. Strong, J. Mendonca, D. Weaver, M. Palm, N. M. Deutscher, T. Warneke, J. Notholt, B. Lejeune, E. Mahieu, N. Jones, D. W. T. Griffith, V. A. Velazco, D. Smale, J. Robinson, R. Kivi, P. Heikkinen, and U. Raffalski, Using XCO2 retrievals for assessing the long-term consistency of NDACC/FTIR data sets, Atmospheric Measurement Techniques, 8, 1555-1573, https://doi.org/10.5194/amt-8-1555-2015
Tags: FTIR, XCO2

2014, Rüfenacht, R., Murk, A.; Kämpfer, N.; Eriksson, P.; Buehler, S, Middle-Atmospheric Zonal and Meridional Wind Profiles from Polar, Tropical and Midlatitudes with the Ground-Based Microwave Doppler Wind Radiometer WIRA, Atmospheric Measurement Techniques, 7, 4491-4505, https://doi.org/10.5194/amt-7-4491-2014
Tags: Microwave, Wind