Publications

2023, Speidel, J., Vogelmann, H., Correct(ed) Klett–Fernald algorithm for elastic aerosol backscatter retrievals: a sensitivity analysis, Applied Physics, 62 (4), 861–868, http://doi.org/10.1364/AO.465944
Tags: Aerosol, Algorithm, Lidar

2023, Farhani, G., Martucci, G., Roberts, T., Haefele, A., Sica, R.J., A Bayesian neural network approach for tropospheric temperature retrievals from a lidar instrument, International Journal of Remote Sensing, 44:5, 1611-1627, http://doi.org/10.1080/01431161.2023.2187723
Tags: Algorithm, Lidar, Temperature

2022, Butz, A., Hanft V., Kleinschek R., Frey M. M., Müller A., Knapp M., Morino I., Agusti-Panareda A., Hase F., Landgraf J., Vardag S., Tanimoto H., Versatile and Targeted Validation of Space-Borne XCO2, XCH4 and XCO Observations by Mobile Ground-Based Direct-Sun Spectrometers, Frontiers in Remote Sensing, 2, 53, https://doi.org/10.3389/frsen.2021.775805
Tags: FTIR, Validation, XCH4, XCO, XCO2

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

2022, Noël, S., M. Reuter, M. Buchwitz, J. Borchardt, M. Hilker, O. Schneising, H. Bovensmann, J.P. Burrows, A. Di Noia, R.J. Parker, H. Suto, Y. Yoshida, M. Buschmann, N.M. Deutscher, D.G. Feist, D.W.T. Griffith, F. Hase, R. Kivi, C. Liu, I. Morino, J. Notholt, Y.-S. Oh, H. Ohyama, C. Petri, D.F. Pollard, M. Rettinger, C. Roehl, C. Rousogenous, M.K. Sha, K. Shiomi, K. Strong, R. Sussmann, Y. Té, V.A. Velazco, M. Vrekoussis, and T. Warneke, Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm, Atmospheric Measurement Techniques, 15, 3401-3437, https://doi.org/10.5194/amt-15-3401-2022
Tags: Algorithm, FTIR, Satellite

2022, Karagkiozidis, D., Friedrich, M. M., Beirle, S., Bais, A., Hendrick, F., Voudouri, K. A., Fountoulakis, I., Karanikolas, A., Tzoumaka, P., Van Roozendael, M., Balis, D., and Wagner, T., Retrieval of tropospheric aerosol, NO2, and HCHO vertical profiles from MAX-DOAS observations over Thessaloniki, Greece: intercomparison and validation of two inversion algorithms, Atmospheric Measurement Techniques, 15, 1269–1301, https://doi.org/10.5194/amt-15-1269-2022
Tags: Aerosol, Algorithm, CalVal, HCHO, NO2, UVVis

2022, Taylor, T.E., C.W. O'Dell, D. Crisp, A. Kuze, H. Lindqvist, P.O. Wennberg, A. Chatterjee, M. Gunson, A. Eldering, B. Fisher, M. Kiel, R.R. Nelson, A. Merrelli, G. Osterman, F. Chevallier, P.I. Palmer, L. Feng, N.M. Deutscher, M.K. Dubey, D.G. Feist, O.E. Garcia, D. Grifith, F. Hase, L. Iraci, R. Kivi, C. Liu, M. De Mazière, I. Morino, J. Notholt, Y.-S. Oh, H. Ohyama, D.F. Pollard, M. Rettinger, C.M. Roehl, M. Schneider, M.K. Sha, K. Shiomi, K. Strong, R.Sussmann, Y. Té, V.A. Velazco, M. Vrekoussis, T. Warneke, and D. Wunch, An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm, Earth System Science Data, 14, 325-360, https://doi.org/10.5194/essd-14-325-2022
Tags: Algorithm, FTIR, Satellite, XCO2

2022, Vandenbussche, S., B. Langerock, C. Vigouroux, M. Buschmann, N. M. Deutscher, D. G. Feist, O. García, J. W. Hannigan, F. Hase, R. Kivi, N. Kumps, M. Makarova, D. B. Millet, I. Morino, T. Nagahama, J. Notholt, H. Ohyama, I. Ortega, C. Petri, M. Rettinger, M. Schneider, C. P. Servais, M. K. Sha, K. Shiomi, D. Smale, K. Strong, R. Sussmann, Y. Té, V. A. Velazco, M. Vrekoussis, T. Warneke, K. C. Wells, D. Wunch, M. Zhou, and M. De Mazière, Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment, Remote Sensing, 14(8), https://doi.org/10.3390/rs14081810
Tags: Algorithm, FTIR, N2O, Satellite

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, 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