Publications
- 506 results
- Tag: C2H6
- Tag: CH2O
- Tag: IO
- Tag: Lidar
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2022, Sullivan, J., A. Apituley, N. Mettig, K. Kreher, K.E. Knowland, M. Allart, A. Piters et al., Tropospheric and Stratospheric Ozone Profiles during the 2019 TROpomi vaLIdation eXperiment (TROLIX-19), Atmospheric Chemistry and Physics, 22, 11137–11153, https://doi.org/10.5194/acp-22-11137-2022
Tags: Lidar, Ozone, Satellite, Validation
2022, Mettig, N., Weber, M., Rozanov, A., Burrows, J. P., Veefkind, P., Thompson, A. M., ... & Skrivankova, P., Combined UV and IR ozone profile retrieval from TROPOMI and CrIS measurements, Atmospheric Measurement Techniques, 15(9), 2955-2978, https://doi.org/10.5194/amt-15-2955-2022
Tags: Lidar, Ozone, Satellite
2022, Knowland, K.E., C. A. Keller, P. A. Wales, K. Wargan, L. Coy, M. S. Johnson, J. Liu, R. A. Lucchesi, S. D. Eastham, E. Fleming, Q. Liang, T. Leblanc, N. J. Livesey, K. A. Walker, L. E. Ott, S. Pawson, NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric Composition, Journal of Advances in Modeling Earth Systems, 14(6), e2021MS002852, https://doi.org/10.1029/2021MS002852
Tags: Aerosol, Lidar, Model
2022, Chouza, F., Leblanc, T., Brewer, M., Wang, P., Martucci, G., Haefele, A., Vérèmes, H., Duflot,
V., Payen, G., and Keckhut, P., The impact of aerosol fluorescence on long-term water vapor monitoring by Raman lidar and evaluation of a potential correction method, Atmospheric Measurement Techniques, 15, 4241–4256, https://doi.org/10.5194/amt-15-4241-2022
Tags: Aerosol, H2O, Lidar
2022, Ancellet, G., Godin-Beekmann S., Smit H., Stauffer R., van Malderen R., Bodichon R., Pazmino A., Homogenization of the Observatoire de Haute Provence electrochemical concentration cell (ECC) ozonesonde data record: comparison with lidar and satellite observations, Atmospheric Measurement Techniques, 15 (10), pp.3105-3120, https://doi.org/10.5194/amt-15-3105-2022
Tags: Lidar, Ozone, Satellite, Sonde
2022, Steinbrecht, W. , Leblanc, T, Lidars in the Network for Detection of Atmospheric Composition Change (NDACC) and the Tropospheric Ozone Lidar Network (TOLNet), Handbook of Air Quality and Climate Change, pp. 1-24, Ed. Springer Nature, https://doi.org/10.1007/978-981-15-2527-8_55-1
Tags: Lidar, Ozone
2021, Khodayar, S., Davolio, S., Di Girolamo, P., Lebeaupin Brossier, C., Flaounas, E., Fourrie, N., Lee, K.-O., Ricard, D., Vie, B., Bouttier, F., Caldas-Alvarez, A., and Ducrocq, V, Overview towards improved understanding of the mechanisms leading to heavy precipitation in the Western Mediterranean: lessons learned from HyMeX, Atmospheric Chemistry and Physics, 21, 17051–17078, https://doi.org/10.5194/acp-21-17051-2021
Tags: H2O, Lidar
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, Landi, T.C., Bonasoni, P.; Brunetti, M.; Campbell, J.R.; Marquis, J.W.; Di Girolamo, P.; Lolli, S. , Aerosol Direct Radiative Effects under Cloud-Free Conditions over Highly-Polluted Areas in Europe and Mediterranean: A Ten-Years Analysis (2007–2016). , Remote Sensing, 13, 2933, https://doi.org/10.3390/rs13152933
Tags: Aerosol, Lidar