Publications

2021, Mahieu, E., E. V. Fischer, B. Franco, M. Palm, T. Wizenberg, D. Smale, L. Clarisse, C. Clerbaux, P.-F. Coheur, J. W. Hannigan, E. Lutsch, J. Notholt, I. P. Cantos, M. Prignon, C. Servais, and K. Strong, First retrievals of peroxyacetyl nitrate (PAN) from ground-based FTIR solar spectra recorded at remote sites, comparison with model and satellite data, Elementa: Science of the Anthropocene, 9(1), https://doi.org/10.1525/elementa.2021.00027
Tags: FTIR, Model, Satellite

2021, Wizenberg, T., K. Strong, K. Walker, E. Lutsch, T. Borsdorff, and J. Landgraf, Intercomparison of CO measurements from TROPOMI, ACE-FTS, and a high-Arctic ground-based Fourier transform spectrometer, Atmospheric Measurement Techniques, 14, 7707-7728, https://doi.org/10.5194/amt-14-7707-2021
Tags: CO, FTIR, Satellite

2021, John, S.S., N. M. Deutscher, C. Paton-Walsh, V. A. Velazco, N. B. Jones and D. W. T. Griffith, 2019–20 Australian Bushfires and Anomalies in Carbon Monoxide Surface and Column Measurements, Atmosphere, 12(6), 755, https://doi.org/10.3390/atmos12060755
Tags: FTIR, Fire, CO

2021, Adame, J.A., O. Puentedura, L. Gómez, L. Condorí, G. Carbajal, M.E. Barlasina, M. Yela, Patterns and trends of ozone and carbon monoxide at Ushuaia (Argentina) observatory, Atmospheric Research, 255, 105551, https://doi.org/10.1016/j.atmosres.2021.105551
Tags: CO, Ozone, UVVis

2021, Rivera Cárdenas, C., Guarín, C., Stremme, W., Friedrich, M. M., Bezanilla, A., Rivera Ramos, D., Mendoza-Rodríguez, C. A., Grutter, M., Blumenstock, T., Hase, F., Formaldehyde total column densities over Mexico City: comparison between multi-axis differential optical absorption spectroscopy and solar-absorption Fourier transform infrared measurements, Atmospheric Measurement Techniques, 14, 595–613, https://doi.org/10.5194/amt-14-595-2021
Tags: CH2O, FTIR

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

2021, Schanz, A., Hocke, K.; Kämpfer, N.; Chabrillat, S.; Inness, A.; Palm, M.; Notholt, J.; Boyd, I.; Parrish, A.; Kasai, Y., The Diurnal Variation in Stratospheric Ozone from MACC Reanalysis, ERA-Interim, WACCM, and Earth Observation Data: Characteristics and Intercomparison, Atmosphere, 12, 625, https://doi.org/10.3390/atmos12050625
Tags: Microwave, Diurnal, Ozone, Model

2021, Sun, Y., Yin, H., Liu, C., Zhang, L., Cheng, Y., Palm, M., Notholt, J., Lu, X., Vigouroux, C., Zheng, B., Wang, W., Jones, N., Shan, C., Qin, M., Tian, Y., Hu, Q., Meng, F., and Liu, J., Mapping the drivers of formaldehyde (HCHO) variability from 2015 to 2019 over eastern China: insights from Fourier transform infrared observation and GEOS-Chem model simulation, Atmospheric Chemistry and Physics, 21, 6365–6387, https://doi.org/10.5194/acp-21-6365-2021
Tags: Model, FTIR, HCHO

2021, Thompson, A.M., R. M. Stauffer, K. Wargan, J. C. Witte, D. E. Kollonige, and J. R. Ziemke, Regional and seasonal trends in tropical ozone from SHADOZ profiles: Reference for models and satellite products, Journal of Geophysical Research: Atmospheres, 126, http://doi.org/10.1029/2021JD034691
Tags: Model, Ozone, Satellite, Sonde

2021, Marlton, G., et al., Using a network of temperature lidars to identify temperature biases in the upper stratosphere in ECMWF reanalyses, Atmospheric Chemistry and Physics, 21(8), 6079–6092, https://doi.org/10.5194/acp-21-6079-2021
Tags: Lidar, Model, Temperature