Publications

2023, Virolainen, Y.A., Timofeyev, Y.M., Polyakov, A.V. et al., Ground-Based FTIR Measurements of Atmospheric Nitric Acid at the NDACC, Izvestiya, Atmospheric and Oceanic Physics, 59, 167–173, https://doi.org/10.1134/S000143382302007X
Tags: FTIR, HNO3, Nitric Acid

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, 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, Di Girolamo, P., De Rosa, B., Summa, D., Franco, N., & Veselovskii, I. , Measurements of aerosol size and microphysical properties: A comparison between Raman lidar and airborne sensors, Journal of Geophysical Research: Atmospheres, 127, e2021JD036086, https://doi.org/10.1029/2021JD036086
Tags: Aerosol, CalVal, Lidar

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, 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, 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, Zuber, R., Köhler, U., Egli, L., Ribnitzky, M., Steinbrecht, W., and Gröbner, J., Total ozone column intercomparison of Brewers, Dobsons, and BTS-Solar at Hohenpeißenberg and Davos in 2019/2020, Atmospheric Measurement Techniques, 14, 4915–4928, https://doi.org/10.5194/acp-21-12385-2021
Tags: Brewer, Dobson, Ozone, CalVal

2021, Sepúlveda, E., Cordero, R.R., Damiani, A. et al., Evaluation of Antarctic Ozone Profiles derived from OMPS-LP by using Balloon-borne Ozonesondes, Scientific Reports, 872506, https://doi.org/10.1038/s41598-021-81954-6
Tags: CalVal, Ozone, Satellite, Sonde

2021, Sha, M., B. Langerock, J.-F. L. Blavier, T. Blumenstock, T. Borsdorff, M. Buschmann, A. Dehn, M. De Mazière, N. M. Deutscher, D. G. Feist, O. E. García, D. W. T. Griffith, M. Grutter, J. W. Hannigan, F. Hase, P. Heikkinen, C. Hermans, L. T. Iraci, P. Jeseck, N. Jones, R. Kivi, N. Kumps, J. Landgraf, A. Lorente, E. Mahieu, M. V. Makarova, J. Mellqvist, J.-M. Metzger, I. Morino, T. Nagahama, J. Notholt, H. Ohyama, I. Ortega, M. Palm, C. Petri, D. F. Pollard, M. Rettinger, J. Robinson, S. Roche, C. M. Roehl, A. N. Röhling, C. Rousogenous, M. Schneider, K. Shiomi, D. Smale, W. Stremme, K. Strong, R. Sussmann, Y. Té, O. Uchino, V. A. Velazco, C. Vigouroux, M. Vrekoussis, P. Wang, T. Warneke, T. Wizenberg, D. Wunch, S. Yamanouchi, Y. Yang, and M. Zhou, Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations, Atmospheric Measurement Techniques, 14, 6249–6304, https://doi.org/10.5194/amt-14-6249-2021
Tags: CalVal, CH4, CO, FTIR