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, 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

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, 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, 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

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

2022, Bedoya-Velásquez, A.E., Hoyos-Restrepo, M.; Barreto, A.; García, R.D.; Romero-Campos, P.M.; García, O.; Ramos, R.; Roininen, R.; Toledano, C.; Sicard, M.; Ceolato, R., Estimation of the Mass Concentration of Volcanic Ash Using Ceilometers: Study of Fresh and Transported Plumes from La Palma Volcano, Remote Sensing, 14, 5680, https://doi.org/10.3390/rs14225680
Tags: FTIR, Volcano

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