Publications
- 210 results
- Tag: CH2O
- Tag: Temperature
- Tag: Trends
- Tag: Weather
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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
2022, Chang, K., Cooper O., Gaudel A., Allaart M., Ancellet G., Clark H., Godin-Beekmann S., Leblanc T., van Malderen R., Nédélec P., Petropavlovskikh I. et al., Impact of the COVID‐19 Economic Downturn on Tropospheric Ozone Trends: An Uncertainty Weighted Data Synthesis for Quantifying Regional Anomalies Above Western North America and Europe, AGU Advances, 3 (2), pp.e2021AV000542, https://dx.doi.org/10.1029/2021av000542
Tags: COVID, Lidar, Ozone, Trends
2022, Hannigan, J.W., I. Ortega, S. B. Shams, T. Blumenstock, J. E. Campbell, S. Conway, V. Flood, O. García, D. Griffith, M. Grutter, F. Hase, P. Jeseck, N. Jones, E. Mahieu, M. Makarova, M. De Mazière, I. Morino, I. Murata, T. Nagahama, H. Nakijima, J. Notholt, M. Palm, A. Poberovskii, M. Rettinger, J. Robinson, A. N. Röhling, M. Schneider, C. Servais, D. Smale, W. Stremme, K. Strong, R. Sussmann, Y. Té, C. Vigouroux, and T. Wizenberg, Global Atmospheric OCS Trend Analysis from 22 NDACC Stations, Journal of Geophysical Research: Atmospheres, 127(4), https://doi.org/10.1029/2021JD035764
Tags: FTIR, OCS, Trends
2022, Whiteman, D.N., Di Girolamo P., Behrendt A., Wulfmeyer V. and Franco N., Statistical Analysis of Simulated Spaceborne Thermodynamics Lidar Measurements in the Planetary Boundary Layer, Frontiers in Earth Science, 3:810032, https://doi.org/10.3389/frsen.2022.810032
Tags: Lidar, Temperature
2021, Rivera Cárdenas, C., Guarín, C., Stremme, W., Friedrich, M. M., Bezanilla, A., Rivera Ramos, D., Mendoza-Rodríguez, C. A., Grutter, M., Blumenstock, T., Hase, F., Formaldehyde total column densities over Mexico City: comparison between multi-axis differential optical absorption spectroscopy and solar-absorption Fourier transform infrared measurements, Atmospheric Measurement Techniques, 14, 595–613, https://doi.org/10.5194/amt-14-595-2021
Tags: CH2O, FTIR
2021, De Smedt, I., Pinardi, G., Vigouroux, C., Compernolle, S., Bais, A., Benavent, N., Boersma, F., Chan, K.-L., Donner, S., Eichmann, K.-U., Hedelt, P., Hendrick, F., Irie, H., Kumar, V., Lambert, J.-C., Langerock, B., Lerot, C., Liu, C., Loyola, D., Piters, A., Richter, A., Rivera Cárdenas, C., Romahn, F., Ryan, R. G., Sinha, V., Theys, N., Vlietinck, J., Wagner, T., Wang, T., Yu, H., and Van Roozendael, M, Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements, Atmospheric Chemistry and Physics, 21, 12561–12593, https://doi.org/10.5194/acp-21-12561-2021
Tags: CH2O, Satellite, UVVis
2021, Brunamonti, S., Martucci, G., Romanens, G., Poltera, Y., Wienhold, F. G., Hervo, M., Haefele, A., and Navas-Guzmán, F., Validation of aerosol backscatter profiles from Raman lidar and ceilometer using balloon-borne measurements, Atmospheric Chemistry and Physics, 21, 2267–2285, https://doi.org/10.5194/acp-21-2267-2021
Tags: Lidar, Sonde, Temperature
2021, Bernet, L, Boyd, I.; Nedoluha, G.; Querel, R.; Swart, D.; Hocke, K., Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New Zealand, Remote Sensing, 13, 109, https://doi.org/10.3390/rs13010109
Tags: Microwave, Ozone, Trends, Validation
2021, Martucci, G., Navas-Guzmán, F., Renaud, L., Romanens, G., Gamage, S. M., Hervo, M., Jeannet, P., and Haefele, A., Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne, Atmospheric Measurement Techniques, 14, 1333–1353, https://doi.org/10.5194/amt-14-1333-2021
Tags: Lidar, 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