Publications
2021, Di Natale, G., Barucci, M., Belotti, C., Bianchini, G., D'Amato, F., Del Bianco, S., Gai, M., Montori, A., Sussmann, R., Viciani, S., Vogelmann, H., and Palchetti, L., Comparison of mid-latitude single- and mixed-phase cloud optical depth from co-located infrared spectrometer and backscatter lidar measurements, Atmospheric Measurement Techniques, 14, 6749–6758, https://doi.org/10.5194/amt-14-6749-2021
Tags: Clouds, FTIR, Lidar
2021, Tu, Q., F. Hase, T. Blumenstock, M. Schneider, A. Schneider, R. Kivi, P. Heikkinen, B. Ertl, C. Diekmann, F. Khosrawi, M. Sommer, T. Borsdorff, and U. Raffalski, Intercomparison of arctic xh2o observations from three ground-based Fourier transform infrared networks and application for satellite validation, , Atmospheric Measurement Techniques, 14(3), 1993-2011, https://doi.org/10.5194/amt-14-1993-2021
Tags: FTIR, Polar, Satellite, Sonde, XH2O
2021, Jorge, T., S. Brunamonti, Y. Poltera, F. G. Wienhold, B. P. Luo, P. Oelsner, S. Hanumanthu, B. B. Sing, S. Körner, R. Dirksen, M. Naja, S. Fadnavis, and T. Peter, Understanding balloon-borne frost point hygrometer measurements after contamination by mixed-phase clouds, Atmospheric Measurement Techniques, 14(1), 239–268, https://doi.org/10.5194/amt-14-239-2021
Tags: Sonde, H2O, Clouds
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, Blumenstock, T., Hase, F., Keens, A., Czurlok, D., Colebatch, O., Garcia, O., Griffith, D. W. T., Grutter, M., Hannigan, J. W., Heikkinen, P., Jeseck, P., Jones, N., Kivi, R., Lutsch, E., Makarova, M., Imhasin, H. K., Mellqvist, J., Morino, I., Nagahama, T., Notholt, J., Ortega, I., Palm, M., Raffalski, U., Rettinger, M., Robinson, J., Schneider, M., Servais, C., Smale, D., Stremme, W., Strong, K., Sussmann, R., Té, Y., and Velazco, V. A., Characterization and potential for reducing optical resonances in Fourier transform infrared spectrometers of the Network for the Detection of Atmospheric Composition Change (NDACC), Atmospheric Measurement Techniques, 14, 1239–1252, https://doi.org/10.5194/amt-14-1239-2021
Tags: FTIR
2020, Robinson, J., Smale, D., Pollard, D., and Shiona, H, Solar tracker with optical feedback and continuous rotation, Atmospheric Measurement Techniques, 13, 5855–5871, https://doi.org/10.5194/amt-13-5855-2020
Tags: FTIR
2020, Madonna, F., R. Kivi, J.-C. Dupont, B. Ingleby, M. Fujiwara, G. Romanens, M. Hernandez, X. Calbet, M. Rosoldi, A. Giunta, T. Karppinen, M. Iwabuchi, S. Hoshino, C. von Rohden, and P. W. Thorne, Use of automatic radiosonde launchers to measure temperature and humidity profiles from the GRUAN perspective, Atmospheric Measurement Techniques, 13(7), 3621–3649, https://doi.org/10.5194/amt-13-3621-2020
Tags: Sonde, H2O, Temperature
2020, Tu, Q., Hase, F., Blumenstock, T., Kivi, R., Heikkinen, P., Sha, M. K., Raffalski, U., Landgraf, J., Lorente, A., Borsdorff, T., Chen, H., Dietrich, F., and Chen, J., Intercomparison of atmospheric CO2 and CH4 abundances on regional scales in boreal areas using Copernicus Atmosphere Monitoring Service (CAMS) analysis, COllaborative Carbon Column Observing Network (COCCON) spectrometers, and Sentinel-5 Precursor satellite observations, Atmospheric Measurement Techniques, 13, 4751–4771, https://doi.org/10.5194/amt-13-4751-2020
Tags: CH4, CO2, FTIR, Model
2020, von Clarmann, T., Degenstein, D. A., Livesey, N. J., Bender, S., Braverman, A., Butz, A., Compernolle, S., Damadeo, R., Dueck, S., Eriksson, P., Funke, B., Johnson, M. C., Kasai, Y., Keppens, A., Kleinert, A., Kramarova, N. A., Laeng, A., Langerock, B., Payne, V. H., Rozanov, A., Sato, T. O., Schneider, M., Sheese, P., Sofieva, V., Stiller, G. P., von Savigny, C., and Zawada, D., Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature, Atmospheric Measurement Techniques, 13, 4393–4436, https://doi.org/10.5194/amt-13-4393-2020
Tags: FTIR, Satellite, Temperature
2020, Reuter, M., M. Buchwitz, O. Schneising, S. Noël, H. Bovensmann, J.P. Burrows, H. Boesch, A. Di Noia, J. Anand, R.J. Parker, P. Somkuti, L. Wu, O.P. Hasekamp, I. Aben, A. Kuze, H. Suto, K. Shiomi, Y. Yoshida, I. Morino, D. Crisp, C. O'Dell, J. Notholt, C. Petri, T. Warneke, V. Velazco, N.M. Deutscher, D.W.T. Griffith, R. Kivi, D. Pollard, F. Hase, R. Sussmann, Y.V. Té,K. Strong, S. Roche, M.K. Sha, M. De Mazière, D.G. Feist, L.T. Iraki, C. Roehl, C. Retscher, and D. Schepers, Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003–2018) for carbon and climate applications, Atmospheric Measurement Techniques, 13, 789-819, https://doi.org/10.5194/amt-13-789-2020
Tags: CH4, CO2, FTIR, Satellite