Publications

2022, Summa, D., F. Madonna, N. Franco, B. De Rosa, and P. Di Girolamo , Inter-comparison of atmospheric boundary layer (ABL) height estimates from different profiling sensors and models in the framework of HyMeX-SOP1, Atmospheric Measurement Techniques, 15, 4153–4170, https://doi.org/10.5194/amt-15-4153-2022
Tags: Lidar, Model

2022, Lutsch, E., D. Wunch, D. B. A. Jones, C. Clerbaux, J. W. Hannigan, T.-L. He, I. Ortega, S. Roche, K. Strong, and H. M. Worden, Can the data assimilation of CO from MOPITT or IASI constrain high-latitude wildfire emissions? A Case Study of the 2017 Canadian Wildfires, Earth and Space Science, p. 44, https://doi.org/10.1002/essoar.10510875.1
Tags: CO, Fire, Model, Satellite

2022, Bahramvash Shams, S., V. P. Walden, J. W. Hannigan, W. J. Randel, I. V. Petropavlovskikh, A. H. Butler, and A. de la Cámara, Analyzing ozone variations and uncertainties at high latitudes during sudden stratospheric warming events using MERRA-2, Atmospheric Chemistry and Physics, 22.8, 5435–5458, https://doi.org/10.5194/acp-22-5435-2022
Tags: Model, Ozone

2022, Mariaccia, A., Keckhut P., Hauchecorne A., Claud C., Le Pichon A., Meftah M., Khaykin S., Assessment of ERA-5 Temperature Variability in the MiddleAtmosphere Using Rayleigh LiDAR Measurements between 2005 and 2020, Atmosphere, 13 (2), 242, http://doi.org/10.3390/atmos13020242
Tags: Lidar, Model, Temperature

2021, Marlton, G., et al., Using a network of temperature lidars to identify temperature biases in the upper stratosphere in ECMWF reanalyses, Atmospheric Chemistry and Physics, 21(8), 6079–6092, https://doi.org/10.5194/acp-21-6079-2021
Tags: Lidar, Model, Temperature

2021, Prignon, M., Chabrillat, S., Friedrich, M., Smale, D., Strahan, S. E., Bernath, P. F., Chipperfield, M. P., Dhomse, S. S., Feng, W., Minganti, D., Servais, C. and Mahieu, E., Stratospheric fluorine as a tracer of circulation changes: comparison between infrared remote‐sensing observations and simulations with five modern reanalyses, Journal of Geophysical Research: Atmospheres, 126(19), https://doi.org/10.1029/2021JD034995
Tags: F, FTIR, Model

2021, Thompson, A.M., R. M. Stauffer, K. Wargan, J. C. Witte, D. E. Kollonige, and J. R. Ziemke, Regional and seasonal trends in tropical ozone from SHADOZ profiles: Reference for models and satellite products, Journal of Geophysical Research: Atmospheres, 126, http://doi.org/10.1029/2021JD034691
Tags: Model, Ozone, Satellite, Sonde

2021, Sun, Y., Yin, H., Liu, C., Zhang, L., Cheng, Y., Palm, M., Notholt, J., Lu, X., Vigouroux, C., Zheng, B., Wang, W., Jones, N., Shan, C., Qin, M., Tian, Y., Hu, Q., Meng, F., and Liu, J., Mapping the drivers of formaldehyde (HCHO) variability from 2015 to 2019 over eastern China: insights from Fourier transform infrared observation and GEOS-Chem model simulation, Atmospheric Chemistry and Physics, 21, 6365–6387, https://doi.org/10.5194/acp-21-6365-2021
Tags: Model, FTIR, HCHO

2021, Lamy, K., Portafaix, T., Brogniez, C., Lakkala, K., Pitkänen, M. R. A., Arola, A., Forestier, J.-B., Amelie, V., Toihir, M. A. & Rakotoniaina, S., UV-Indien network: ground-based measurements dedicated to the monitoring of UV radiation over the western Indian Ocean, Earth System Science Data, 13(9), 4275-4301, https://doi.org/10.5194/essd-13-4275-2021
Tags: Erythemal UV, Spectral UV

2021, Brogniez, C., Doré, J.-F., Auriol, F., Cesarini, P., Minvielle, F., Deroo, C., Catalfamo, M., Metzger, J.-M. & Da Conceicao, P., Erythemal and vitamin D weighted solar UV dose-rates and doses estimated from measurements in mainland France and on Réunion Island, Journal of Photochemistry and Photobiology B: Biology, 225(112330), https://doi.org/10.1016/j.jphotobiol.2021.112330
Tags: Erythemal UV, Spectral UV, Vitamin D