Publications
2020, Kulla, Ritter, J., Intercomparison of NO2, O4, O3 and HCHO slant column measurements by MAX-DOAS and zenith-sky UV-Visible spectrometers during the CINDI-2 campaign, Remote Sensing, 11 (6), 616, https://doi.org/10.3390/rs11060616
Tags: H2O, Lidar, Sonde
2020, Barreto, et al., Spectral Aerosol Optical Depth Retrievals by Ground-Based Fourier Transform Infrared Spectrometry, Remote Sensing, 12, 3148
Tags: Aerosol, FTIR
2019, Kivimäki, E., et al., Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals, Remote Sensing, 11, 882, 2019
Tags: CH4, FTIR, Trends
2019, Wei, Z., et al., A global database of water vapor isotopes measured with high temporal resolution infrared laser spectroscopy, Scientific Data, 6, 180302
Tags: FTIR
2018, Trieu, T.T.N., Morino, I.; Ohyama, H.; Uchino, O.; Sussmann, R.; Warneke, T.; Petri, C.; Kivi, R.; Hase, F.; Pollard, D.F.; Deutscher, N.M.; Velazco, V.A.; Iraci, L.T.; Podolske, J.R.; Dubey, M.K., Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data, Remote Sensing, 11, 290
Tags: FTIR, Satellite, Validation
2018, Schaefer, H., Smale, D., Nichol, S. E., Bromley, T. M., Brailsford, G. W., Martin, R. J., Moss, R., Englund Michel, S., and White, J. W. C., Limited impact of El Niño–Southern Oscillation on variability and growth rate of atmospheric methane, Biogeosciences, 15, 6371-6386, https://doi.org/10.5194/bg-15-6371-2018
Tags: CH, ENSO, FTIR
2016, Aculinin, A., C. Brogniez, M. Bengulescu, D. Gillotay, F. Auriol, and L. Wald, Assessment of Several Empirical Relationships for Deriving Daily Means of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance, Remote Sensing, 8, 537, https://doi.org/10.3390/rs8070537
Tags: Satellite, Spectral UV, UV Irradiance
2005, Gruzdev, A.N., Elokhov A.S., Ground-based spectrometric measurements of vertical distribution and column abundance of NO2 at Zvenigorod, Russia, SPIE, 5832, 292-299, https://doi.org/10.1117/12.619837
Tags: NO2, UVVis