Publications

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, Flamant, C., P. Chazette, O. Caumont, P. Di Girolamo, A. Behrendt, M. Sicard, J. Totems, D. Lange, N. Fourrié, P. Brousseau, C. Augros, A. Baron, M. Cacciani, A. Comerón, B. De Rosa, V. Ducrocq, P. Genau, L. Labatut, C. Muñoz-Porcar, A. Rodríguez-Gómez, D. Summa, R. Thundathil, and V. Wulfmeyer , A network of water vapor Raman lidars for improving heavy precipitation forecasting in southern France: introducing the WaLiNeAs initiative, Bulletin of Atmospheric Science and Technology, 2, 10 , https://doi.org/10.1007/s42865-021-00037-6
Tags: H2O, Lidar

2021, Garcia, R.D., et al., Water Vapor Retrievals from Spectral Direct Irradiance Measured with an EKO MS-711 Spectroradiometer-Intercomparison with Other Techniques, Remote Sensing, 13, 350, https://doi.org/10.3390/rs13030350
Tags: FTIR, H2O

2020, Di Girolamo, P., B. De Rosa, C. Flamant, D. Summa, O. Bousquet, P. Chazette, J. Totems, M. Cacciani, Water vapour mixing ratio and temperature inter-comparison results in framework of the Hydrological Cycle in the Mediterranean Experiment—Special Observation Period 1, Bulletin of Atmospheric Science and Technology, 1, 113–153, https://doi.org/10.1007/s42865-020-00008-3
Tags: H2O, Lidar, Temperature

2020, Almansa, A.F., et al., Column Integrated Water Vapor and Aerosol Load Characterization with the New ZEN-R52 Radiometer, Remote Sensing, 12, 1424
Tags: Aerosol, FTIR, H2O

2020, Kulla, Ritter, J., Intercomparison of NO2, O4, O3 and HCHO slant column measurements by MAX-DOAS and zenith-sky UV-Visible spectrometers during the CINDI-2 campaign, Remote Sensing, 11 (6), 616, https://doi.org/10.3390/rs11060616
Tags: H2O, Lidar, Sonde