Publications

2023, Nedoluha, G.E., Gomez, R. M., Boyd, I., Neal, H., Allen, D. R., Lambert, A., & Livesey, N. J., Measurements of stratospheric water vapor at Mauna Loa and the effect of the Hunga Tonga eruption, Journal of Geophysical Research: Atmospheres, 128, e2022JD038100, https://doi.org/10.1029/2022JD038100
Tags: H2O, Microwave, 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, Ortega, I., B. Gaubert, J.W. Hannigan, G. Brasseur, H.M. Worden, T. Blumenstock, H. Fu, F. Hase, P. Jeseck, N. Jones, C. Liu, E. Mahieu, I. Morino, I. Murata, J. Notholt, M. Palm, A. Röhling, Y. Té, K. Strong, Y. Sun, S. Yamanouchi, Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability, Elementa: Science of the Anthropocene, 11 (1): 00015, https://doi.org/10.1525/elementa.2023.00015
Tags: C2H2, C2H6, CO, COVID, FTIR, H2CO, Ozone

2023, Speidel, J., Vogelmann, H., Correct(ed) Klett–Fernald algorithm for elastic aerosol backscatter retrievals: a sensitivity analysis, Applied Physics, 62 (4), 861–868, http://doi.org/10.1364/AO.465944
Tags: Aerosol, Algorithm, 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, Yang, Z., D. Li, J. Luo, W. Tian, Z. Bai, Q. Li, J. Zhang, H. Wang, X. Zheng, H. Vömel, F.G. Weinhold, T. Peter, D. Hurst and J. Bian, Determination of cirrus occurrence and distribution characteristics over the Tibetan Plateau based on the SWOP campaign, Journal of Geophysical Research: Atmospheres, 128, https://doi.org/10.1029/2022JD037682
Tags: Clouds, H2O, Sonde

2022, Tinney, E.N., C.R. Homeyer, L. Elizalde, D.F. Hurst, A.M. Thompson, R.M. Stauffer, H. Vömel, and H.B. Selkirk, A modern approach to a stability-based definition of the tropopause, Monthly Weather Review, 150, 3151-3174, https://doi.org/10.1175/MWR-D-22-0174.1
Tags: H2O, Ozone, Sonde

2022, Noël, S., M. Reuter, M. Buchwitz, J. Borchardt, M. Hilker, O. Schneising, H. Bovensmann, J.P. Burrows, A. Di Noia, R.J. Parker, H. Suto, Y. Yoshida, M. Buschmann, N.M. Deutscher, D.G. Feist, D.W.T. Griffith, F. Hase, R. Kivi, C. Liu, I. Morino, J. Notholt, Y.-S. Oh, H. Ohyama, C. Petri, D.F. Pollard, M. Rettinger, C. Roehl, C. Rousogenous, M.K. Sha, K. Shiomi, K. Strong, R. Sussmann, Y. Té, V.A. Velazco, M. Vrekoussis, and T. Warneke, Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm, Atmospheric Measurement Techniques, 15, 3401-3437, https://doi.org/10.5194/amt-15-3401-2022
Tags: Algorithm, FTIR, Satellite

2022, Karagkiozidis, D., Friedrich, M. M., Beirle, S., Bais, A., Hendrick, F., Voudouri, K. A., Fountoulakis, I., Karanikolas, A., Tzoumaka, P., Van Roozendael, M., Balis, D., and Wagner, T., Retrieval of tropospheric aerosol, NO2, and HCHO vertical profiles from MAX-DOAS observations over Thessaloniki, Greece: intercomparison and validation of two inversion algorithms, Atmospheric Measurement Techniques, 15, 1269–1301, https://doi.org/10.5194/amt-15-1269-2022
Tags: Aerosol, Algorithm, CalVal, HCHO, NO2, UVVis

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