Publications

2019, Schiavo, B., et al., Characterization of a UV camera system for SO2 measurements from Popocatépetl Volcano, Journal of Volcanology and Geothermal Research, 370, 82–94, https://doi.org/10.1016/j.jvolgeores.2018.09.001
Tags: FTIR, SO2, Volcano

2019, Taquet, N., Stremme W, Grutter M, Baylón J, Bezanilla A, Schiavo B, Rivera C, Campion R, Boulesteix T, Nieto-Torres A, Espinasa-Pereña R, Blumenstock T and Hase F, Variability in the Gas Composition of the Popocatépetl Volcanic Plume, Frontiers in Earth Science, 8:54, https://doi.org/10.3389/feart.2019.00114
Tags: FTIR, Volcano

2019, Tarasick, D., Galbally, I.E., Cooper, O.R., Schultz, M.G., Ancellet, G., Leblanc, T., Wallington, T.J., Ziemke, J., Liu, X., Steinbacher, M., Staehelin, J., Vigouroux, C., Hannigan, J.W., García, O., Foret, G., Zanis, P., Weatherhead, E., Petropavlovskikh, I., Worden, H., Osman, M., Liu, J., Chang, K.-L., Gaudel, A., Lin, M., Granados-Muñoz, M., Thompson, A.M., Oltmans, S.J., Cuesta, J., Dufour, G., Thouret, V., Hassler, B., Trickl, T. and Neu, J.L., Tropospheric Ozone Assessment Report: Tropospheric ozone from 1877 to 2016, observed levels, trends and uncertainties, Elementa: Science of the Anthropocene, 7(1), 39, https://doi.org/10.1525/elementa.376
Tags: FTIR, Ozone, Sonde, Wind

2018, O'Dell, C.W., Eldering, A., Wennberg, P. O., Crisp, D., Gunson, M. R., Fisher, B., Frankenberg, C., Kiel, M., Lindqvist, H., Mandrake, L., Merrelli, A., Natraj, V., Nelson, R. R., Osterman, G. B., Payne, V. H., Taylor, T. E., Wunch, D., Drouin, B. J., Oyafuso, F., Chang, A., McDuffie, J., Smyth, M., Baker, D. F., Basu, S., Chevallier, F., Crowell, S. M. R., Feng, L., Palmer, P. I., Dubey, M., García, O. E., Griffith, D. W. T., Hase, F., Iraci, L. T., Kivi, R., Morino, I., Notholt, J., Ohyama, H., Petri, C., Roehl, C. M., Sha, M. K., Strong, K., Sussmann, R., Te, Y., Uchino, O., and Velazco, V. A., Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm, Atmospheric Measurement Techniques, 11, 6539-6576, https://doi.org/10.5194/amt-11-6539-2018
Tags: Algorithm, CO2, FTIR

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

2017, Rüfenacht, R., Kämpfer, N., The Importance of Signals in the Doppler Broadening Range for Middle-Atmospheric Microwave Wind and Ozone Radiometry, Journal of Quantitative Spectroscopy and Radiative Transfer, 199, 77-88, https://doi.org/10.1016/j.jqsrt.2017.05.028
Tags: IO, Ozone, Wind

2017, Baylon, J.L., Stremme, W., Grutter, M., Hase, F., and Blumenstock, T, Background CO2 levels and error analysis from ground-based solar absorption IR measurements in central Mexico, Atmospheric Measurement Techniques, 10, 2425-2434, https://doi.org/10.5194/amt-10-2425-2017
Tags: CO2, FTIR, Validation

2016, Rüfenacht, R., Hocke, K.; Kämpfer, N., First Continuous Ground-Based Observations of Long Period Oscillations in the Vertically Resolved Wind Field of the Stratosphere and Mesosphere, Atmospheric Chemistry and Physics, 16 (8), 4915-4925, https://doi.org/10.5194/acp-16-4915-2016
Tags: Microwave, Wind

2016, Wang, Y., et al., Towards understanding the variability in biospheric CO2 fluxes: using FTIR spectrometry and a chemical transport model to investigate the sources and sinks of carbonyl sulfide and its link to CO2, Atmospheric Chemistry and Physics, 16(4), 2123-2138, https://doi.org/10.5194/acp-16-2123-2016
Tags: CO2, FTIR, OCS

2015, le Pichon, A., Assink J. D., Heinrich P., Blanc E., Charlton-Perez A. J., Lee C.-F., Keckhut P., Hauchecorne A., Refenacht R., Kampfer N., Drob D., P.S.M. Smets, L. G. Evers, L. Ceranna, C. Pilger, O. Ross, C. Claud, J., Comparison of co-located independent ground-based middle-atmospheric wind and temperature measurements with Numerical Weather Prediction models, Journal of Geophysical Research: Atmospheres, 120 (16), 8318-8331, https://doi.org/10.1002/2015JD023273
Tags: Lidar, Model, Temperature, Wind