Publications
2018, Geddes, A., et al., Python-based dynamic scheduling assistant for atmospheric measurements by Bruker instruments using OPUS, Applied Optics, 57(4), 689-691
Tags: Algorithm, FTIR
2018, Gaudel, A., Cooper, O.R., Ancellet, G., Barret, B., Boynard, A., Burrows, J.P., Clerbaux, C., Coheur, P. -F., Cuesta, J., Cuevas, E., Doniki, S., Dufour, G., Ebojie, F., Foret, G., Garcia, O., Granados Muños, M. J., Hannigan, J. W., Hase, F., Huang, G., Hassler, B., Hurtmans, D., Jaffe, D., Jones, N., Kalabokas, P., Kerridge, B., Kulawik, S. S., Latter, B., Leblanc, T., Le Flochmoën, E., Lin, W., Liu, J., Liu, X., Mahieu, E., McClure-Begley, A., Neu, J. L., Osman, M., Palm, M., Petetin, H., Petropavlovskikh, I., Querel, R., Rahpoe, N., Rozanov, A., Schultz, M. G., Schwab, J., Siddans, R., Smale, D., Steinbacher, M., Tanimoto, H., Tarasick, D. W., Thouret, V., Thompson, A. M., Trickl, T., Weatherhead, E., Wespes, C., Worden, H. M., Vigouroux, C., Xu, X., Zeng, G., and Ziemke J, Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation, Elementa: Science of the Anthropocene, 6(1), 39, https://doi.org/10.1525/elementa.291
Tags: FTIR, Model, Ozone, Sonde, Trends
2016, Sica, R.J., A. Haefele, Retrieval of water vapor mixing ratio from a multiple channel Raman-scatter lidar using an optimal estimation method, Applied Optics, 55, 763-777
Tags: H2O, Lidar
2015, Sica, R., Haefele, A., Retrieval of temperature from a multiple-channel Rayleigh-scatter lidar using an optimal estimation method, Applied Optics, 54, 1872–1889
Tags: Lidar, Temperature
2013, Kuang, S., M. J. Newchurch, J. Burris, and X. Liu, Ground-based lidar for atmospheric boundary layer ozone measurements, Applied Optics, 52, 3557-3566
Tags: Lidar, Ozone
2010, Dionisi, D., Congeduti F., Liberti G.L., Cardillo F., Calibration of a Multichannel Water Vapor Raman Lidar through Noncollocated Operational Soundings: Optimization and Characterization of Accuracy and Variability, Journal of Atmospheric and Oceanic Technology, 27, 108-121
Tags: CalVal, H2O, Lidar
2009, Hannigan, J.W., M. T. Coffey, and A. Goldman, Semiautonomous FTS Observation System for Remote Sensing of Stratospheric and Tropospheric Gases, Journal of Atmospheric and Oceanic Technology, 26:1814–1828, https://doi.org/10.1175/2009JTECHA1230.1
Tags: FTIR
2009, di Girolamo, P., Donato Summa, Rossella Ferretti, Multiparameter Raman Lidar Measurements for the Characterization of a Dry Stratospheric Intrusion Event, Journal of Atmospheric and Oceanic Technology, 26, 1742-1762, https://doi.org/10.1175/2009JTECHA1253.1
Tags: H2O, Lidar
2009, Batchelor, R.L., K. Strong, R. Lindenmaier, R.L. Mittermeier, H. Fast, J.R. Drummond, and P.F. Fogal, A new Bruker IFS 125HR FTIR spectrometer for the Polar Environment Atmospheric Research Laboratory at Eureka, Canada - measurements and comparison with the existing Bomem DA8 spectrometer, Journal of Atmospheric and Oceanic Technology, 26 (7), 1328-1340, https://doi.org/10.1175/2009JTECHA1215.1
Tags: FTIR, Validation