Publications
2020, Nalli, N.R., Tan, C., Warner, J., Divakarla, M., Gambacorta, A., Wilson, M., Zhu, T., Wang, T., Wei, Z., Pryor, K., Kalluri, S., Zhou, L., Sweeney, C., Baier, B.C., McKain, K., Wunch, D., Deutscher, N.M., Hase, F., Iraci, L.T., Kivi, R., Morino, I., Notholt, J., Ohyama, H., Pollard, D.F., Té, Y., Velazco, V.A., Warneke, T., Sussmann, R., Rettinger, M, Validation of Carbon Trace Gas Profile Retrievals from the NOAA-Unique Combined Atmospheric Processing System for the Cross-Track Infrared Sounder, Remote Sensing, 12(19), 3245, https://doi.org/10.3390/rs12193245
Tags: FTIR, Carbon
2020, Hochstaffl, P., Schreier, F., Birk, M., Wagner, G., Feist, D.G., Notholt, J., Sussmann, R., Té, Y., Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from TROPOMI, Remote Sensing, 12(21), 3486, https://doi.org/10.3390/rs12213486
Tags: FTIR, Satellite, CO
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
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, Huang, G., Newchurch, M. J., Kuang, S., & Ouwersloot, H. G., A Case Study of Ozone Diurnal Variation in the Convective Boundary Layer in the Southeastern United States Using Multiple Observations and Large-Eddy Simulation, Climate, 7(4), 53
Tags: Diurnal, Lidar, Ozone
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
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