Publications

2022, Pinardi, G., Van Roozendael, M., Hendrick, F., Richter, A., Valks, P., Alwarda, R., Bognar, K., Frieß, U., Granville, J., Gu, M., Johnston, P., Prados-Roman, C., Querel, R., Strong, K., Wagner, T., Wittrock, F., and Yela Gonzalez, M., Ground-based validation of the MetOp-A and MetOp-B GOME-2 OClO measurements, Atmospheric Measurement Techniques, 15, 3439–3463, https://doi.org/10.5194/amt-15-3439-2022
Tags: OClO, Satellite, UVVis, Validation

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, 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, 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, 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, Garcia, O.E., M. Schneider, E. Sepúlveda, F. Hase, T. Blumenstock, E. Cuevas, R. Ramos, et al. , Twenty years of ground-based NDACC FTIR spectrometry at Izaña Observatory–overview and long-term comparison to other techniques, Atmospheric Chemistry and Physics, 21, 15519-54
Tags: FTIR, UVVis, Validation

2021, Yombo-Phaka, R., Merlaud, A., Pinardi, G., Mahieu, E., Hendrick, F., Friedrich, M. M., Fayt, C., Van Roozendael, M., Djibi, B. L., Bopili Mbotia Lepiba, R., Phuku Phuati, E. and Mbungu Tsumbu, J.-P, First Ground-Based DOAS Measurements of NO2 at Kinshasa and Comparisons with Satellite Observations, Journal of Atmospheric and Oceanic Technology, (2), 1291–1304, https://doi.org/10.1175/jtech-d-20-0195.1
Tags: Satellite, UVVis, NO2

2021, Pinardi, G., Van Roozendael, M., Hendrick, F., Theys, N., Abuhassan, N., Bais, A., Boersma, F., Cede, A., Chong, J., Donner, S., Drosoglou, T., Dzhola, A., Eskes, H., Frieß, U., Granville, J., Herman, J. R., Holla, R., Hovila, J., Irie, H., Kanaya, Y., Karagkiozidis, D., Kouremeti, N., Lambert, J.-C., Ma, J., Peters, E., Piters, A., Postylyakov, O., Richter, A., Remmers, J., Takashima, H., Tiefengraber, M., Valks, P., Vlemmix, T., Wagner, T., and Wittrock, F, Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations, Atmospheric Measurement Techniques, 13, 6141–6174, https://doi.org/10.5194/amt-13-6141-2020
Tags: UVVis, Satellite, CalVal, NO2

2021, Gruzdev, A.N., Elokhov A.S. , Changes in the column content and vertical distribution of NO2 according to the results of 30-year measurements at the Zvenigorod Scientific Station of the A. M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Izvestiya, Atmospheric and Oceanic Physics, 57 (1), 91–103, https://doi.org/10.31857/S0002351521010089
Tags: UVVis, NO2