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

2021, Yombo-Phaka, R., Merlaud, A., Pinardi, G., Mahieu, E., Hendrick, F., Friedrich, M. M., Fayt, C., Van Roozendael, M., Djibi, B. L., Bopili Mbotia Lepiba, R., Phuku Phuati, E. and Mbungu Tsumbu, J.-P, First Ground-Based DOAS Measurements of NO2 at Kinshasa and Comparisons with Satellite Observations, Journal of Atmospheric and Oceanic Technology, (2), 1291–1304, https://doi.org/10.1175/jtech-d-20-0195.1
Tags: Satellite, UVVis, NO2

2021, Smale, D., Strahan SE, Querel R, Frieß U, Nedoluha GE, Nichol SE, Robinson J, Boyd I, Kotkamp M, Gomez RM, Murphy M., Evolution of observed ozone, trace gases, and meteorological variables over Arrival Heights, Antarctica (77.8°S, 166.7°E) during the 2019 Antarctic stratospheric sudden warming, Tellus B: Chemical and Physical Meteorology, 73(1), 1–8, https://doi.org/10.1080/16000889.2021.1933783
Tags: FTIR, Ozone, SSW

2021, Keckhut, P., Hauchecorne A., Meftah M., Khaykin S., Claud C., Simoneau P., Middle-Atmosphere Temperature Monitoring Addressed with a Constellation of CubeSats dedicated to Climate issues, Journal of Atmospheric and Oceanic Technology, 38(3), 685–693, https://doi.org/10.1175/JTECH-D-20-0046.1
Tags: Lidar, Satellite, Temperature

2020, Gamage, S.M., Sica, R. J., Martucci, G., & Haefele, A. , A 1D Var Retrieval of Relative Humidity Using the ERA5 Dataset for the Assimilation of Raman Lidar Measurements, Journal of Atmospheric and Oceanic Technology, 37(11), 2051–2064, https://doi.org/10.1175/JTECH-D-19-0170.1
Tags: Lidar, H2O

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

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