Publications

2023, Summa, D., Vivone, G., Franco, N., D’Amico, G., De Rosa, B., Di Girolamo, P. , Atmospheric Boundary Layer Height: Inter-Comparison of Different Estimation Approaches Using the Raman Lidar as Benchmark, Remote Sensing, 15, 1381, https://doi.org/10.3390/rs15051381
Tags: Lidar

2023, Garcia, R.D., García, O.E.; Cuevas-Agulló, E.; Barreto, Á.; Cachorro, V.E.; Marrero, C.; Almansa, F.; Ramos, R.; Pó, M., Spectral Aerosol Radiative Forcing and Efficiency of the La Palma Volcanic Plume over the Izaña Observatory, Remote Sensing, 15, 173, https://doi.org/10.3390/rs15010173
Tags: Aerosol, FTIR, Volcano

2023, Wu, P., Shan, C., Liu, C., Xie, Y., Wang, W., Zhu, Q., Zeng, X., and Liang, B., Ground-Based Remote Sensing of Atmospheric Water Vapor Using High-Resolution FTIR Spectrometry, Remote Sensing, 15(14), 3484, https://doi.org/10.3390/rs15143484
Tags: FTIR, H2O

2023, Cordero, R.R., Feron, S., Damiani, A., Sepúlveda, E., Jorquera, J., Redondas, A., Seckmeyer, G., Carrasco, J., Rowe, P., and Ouyang, Z. , Surface Solar Extremes in the Most Irradiated Region on Earth, Altiplano, Bulletin of the American Meteorological Society, 104(6), https://doi.org/10.1175/BAMS-D-22-0215.1
Tags: Brewer

2023, Chane Ming, F., Hauchecorne A., Bellisario C., Simoneau P., Keckhut P., Trémoulu S., Listowski C., Berthet G., Jégou F., Khaykin S., Tidiga M. et al., Case Study of a Mesospheric Temperature Inversion over Maïdo Observatory through a Multi-Instrumental Observation, Remote Sensing, 15, 2045, http://doi.org/10.3390/rs15082045
Tags: Lidar, Temperature

2023, Farhani, G., Martucci, G., Roberts, T., Haefele, A., Sica, R.J., A Bayesian neural network approach for tropospheric temperature retrievals from a lidar instrument, International Journal of Remote Sensing, 44:5, 1611-1627, http://doi.org/10.1080/01431161.2023.2187723
Tags: Algorithm, Lidar, Temperature

2022, Calí Quaglia, F., D. Meloni, G. Muscari, T. Di Iorio, V. Ciardini, G. Pace, S. Becagli, A. Di Bernardino, M. Cacciani, J. W. Hannigan, I. Ortega, and A. G. di Sarra, On the Radiative Impact of Biomass-Burning Aerosols in the Arctic: The August 2017 Case Study, Remote Sensing, 14(2), https://doi.org/10.3390/rs14020313
Tags: Aerosol, FTIR

2022, Perrin, A., L. Manceron, R. Armante, F. Kwabia-Tchana, P. Roy, D. Doizi & G.C. Toon, The 5.8 µm absorption bands for nitric acid (H14N16O3): line positions and intensities for the ν2 band at 1709.567 cm−1 and for its first associated hot bands (ν2+ν9−ν9, ν2+ν7−ν7, ν2+ν6−ν6), Molecular Physics, 120:15-16, https://doi.org/10.1080/00268976.2021.1998931
Tags: FTIR, Nitric Acid

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

2022, Davis, S.M., K.H. Rosenlof, D.F. Hurst, H. Voemel, and R. Stauffer, Stratospheric Water Vapor [in “State of the Climate in 2021”], Bulletin of the American Meteorological Society, 103 (8), S93-S96, https://doi.org/10.1175/BAMS-D-22-0092.1
Tags: H2O, Sonde