Publications

2022, Zuber, A., et al, Variability of water vapor in Central Mexico from two remote sensing techniques: FTIR spectroscopy and GPS, Journal of Atmospheric and Oceanic Technology, 39(8), https://doi.org/10.1175/JTECH-D-20-0192.1
Tags: FTIR, H2O

2022, Vandenbussche, S., B. Langerock, C. Vigouroux, M. Buschmann, N. M. Deutscher, D. G. Feist, O. García, J. W. Hannigan, F. Hase, R. Kivi, N. Kumps, M. Makarova, D. B. Millet, I. Morino, T. Nagahama, J. Notholt, H. Ohyama, I. Ortega, C. Petri, M. Rettinger, M. Schneider, C. P. Servais, M. K. Sha, K. Shiomi, D. Smale, K. Strong, R. Sussmann, Y. Té, V. A. Velazco, M. Vrekoussis, T. Warneke, K. C. Wells, D. Wunch, M. Zhou, and M. De Mazière, Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment, Remote Sensing, 14(8), https://doi.org/10.3390/rs14081810
Tags: Algorithm, FTIR, N2O, Satellite

2022, Zeng, X., Wang, W., Liu, C., Shan, C., Xie, Y., Wu, P., Zhu, Q., Zhou, M., De Mazière, M., Mahieu, E., Pardo Cantos, I., Makkor, J., and Polyakov, A., Retrieval of atmospheric CFC-11 and CFC-12 from high-resolution FTIR observations at Hefei and comparisons with other independent datasets, Atmospheric Measurement Techniques, 15, 6739–6754, https://doi.org/10.5194/amt-15-6739-2022
Tags: CFC, FTIR, Validation

2022, Kille, N., K. J. Zarzana, J. Romero Alvarez, C. F. Lee, J. P. Rowe, B. Howard, T. Campos, A. Hills, R. S. Hornbrook, I. Ortega, W. Permar, I. T. Ku, J. Lindaas, I. B. Pollack, A. P. Sullivan, Y. Zhou, C. D. Fredrickson, B. B. Palm, Q. Peng, E. C. Apel, L. Hu, J. L. Collett, E. V. Fischer, F. Flocke, J. W. Hannigan, J. Thornton, and R. Volkamer, The CU Airborne Solar Occultation Flux Instrument: Performance Evaluation during BB-FLUX, ACR - Earth and Space Chemistry, 6(3), 582–596, https://doi.org/10.1021/acsearthspacechem.1c00281
Tags: FTIR

2022, Taylor, T.E., C.W. O'Dell, D. Crisp, A. Kuze, H. Lindqvist, P.O. Wennberg, A. Chatterjee, M. Gunson, A. Eldering, B. Fisher, M. Kiel, R.R. Nelson, A. Merrelli, G. Osterman, F. Chevallier, P.I. Palmer, L. Feng, N.M. Deutscher, M.K. Dubey, D.G. Feist, O.E. Garcia, D. Grifith, F. Hase, L. Iraci, R. Kivi, C. Liu, M. De Mazière, I. Morino, J. Notholt, Y.-S. Oh, H. Ohyama, D.F. Pollard, M. Rettinger, C.M. Roehl, M. Schneider, M.K. Sha, K. Shiomi, K. Strong, R.Sussmann, Y. Té, V.A. Velazco, M. Vrekoussis, T. Warneke, and D. Wunch, An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm, Earth System Science Data, 14, 325-360, https://doi.org/10.5194/essd-14-325-2022
Tags: Algorithm, FTIR, Satellite, XCO2

2022, Shan, C., Wang, W., Xie, Y., Wu, P., Xu, J., Zeng, X., Zha, L., Zhu, Q., Sun, Y., Hu, Q., Liu, C., and Jones, N., Observations of atmospheric CO2 and CO based on in-situ and ground-based remote sensing measurements at Hefei site, Science of the Total Environment, 851, 158188, https://doi.org/10.1016/j.scitotenv.2022.158188
Tags: CO, CO2, FTIR

2022, Herrera, B., A. Bezanilla, T. Blumenstock, E. Dammers, F. Hase, L. Clarisse, A. Magaldi, C. Rivera, W. Stremme, K. Strong, C. Viatte, M. Van Damme, and M. Grutter, Measurement report: Evolution and distribution of NH3 over Mexico City from ground-based and satellite infrared spectroscopic measurements, Atmospheric Chemistry and Physics, 22, 14119–14132, https://doi.org/10.5194/acp-22-14119- 2022
Tags: FTIR, NH3, Satellite

2022, Gordon, I.E., L.S. Rothman, et al., The HITRAN2020 molecular spectroscopic database, Journal of Quantitative Spectroscopy and Radiative Transfer, 277, 107949, https://doi.org/10.1016/j.jqsrt.2021.107949
Tags: Database, FTIR

2022, Garcia, O.E., Sanromá, E., Schneider, M., Hase, F., León-Luis, S. F., Blumenstock, T., Sepúlveda, E., Redondas, A., Carreño, V., Torres, C., and Prats, N., Improved ozone monitoring by ground-based FTIR spectrometry, Atmospheric Measurement Techniques, 15, 2557–2577, https://doi.org/10.5194/amt-15-2557-2022
Tags: FTIR, Ozone

2022, Trieu, T.T.N., I. Morino, O. Uchino, Y. Tsutsumi, T. Sakai, T. Nagai, A. Yamazaki, H. Okumura, K. Arai, K. Shiomi, D.F. Pollard, B. Liley , Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data, International Journal of Remote Sensing, 43:5, 1770-1799, https://doi.org/10.1080/01431161.2022.2038395
Tags: Aerosol, Clouds, FTIR, Lidar, Satellite, UVVis, XCH4, XCO2