Publications
- 527 results
- Tag: Arctic
- Tag: UVVis
- Tag: Validation
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2024, Pardo Cantos, I., Mahieu, E., Chipperfield, M.P., Servais, C., Reimann, S., Vollmer, M.K., First HFC-134a retrievals from ground-based FTIR solar absorption spectra, comparison with TOMCAT model simulations, in-situ AGAGE observations, and ACE-FTS satellite data for the Jungfraujoch station, Journal of Quantitative Spectroscopy and Radiative Transfer, 318, 108938, https://doi.org/10.1016/j.jqsrt.2024.108938
Tags: CFC, FTIR, Model, Satellite, Validation
2023, Zilker, B., Richter, A., Blechschmidt, A.-M., von der Gathen, P., Bougoudis, I., Seo, S., Bösch, T., and Burrows, J. P., Investigation of meteorological conditions and BrO during Ozone Depletion Events in Ny-Ålesund between 2010 and 2021, Atmospheric Chemistry and Physics, 23, 9787–9814, https://doi.org/10.5194/acp-23-9787-2023
Tags: BrO, Ozone, Polar, UVVis
2023, Friess, U., et al., Source mechanisms and transport patterns of tropospheric bromine monoxide: findings from long-term multi-axis differential optical absorption spectroscopy measurements at two Antarctic stations, Atmospheric Chemistry and Physics, 23, (5), 3207–3232, https://doi.org/10.5194/acp-23-3207-2023.
Tags: BrO, Polar, UVVis
2023, Ratynski, M., Khaykin, S., Hauchecorne, A., Wing, R., Cammas, J.-P., Hello, Y., Keckhut, P., Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence, Atmospheric Measurement Techniques, 16, 997–1016, https://doi.org/10.5194/amt-16-997-2023,
Tags: Lidar, Validation, Wind
2023, Barten, J.G.M., et al., Low ozone dry deposition rates to sea ice during the MOSAiC field campaign: Implications for the Arctic boundary layer ozone budget, Elementa: Science of the Anthropocene, 11 (1): 00086, https://doi.org/10.1525/elementa.2022.00086
Tags: Arctic, Ozone, Sonde
2023, Whaley, C.H., Law, K. S., Hjorth, J. L., Skov, H., Arnold, S. R., Langner, J., Pernov, J. B., Bergeron, G., Bourgeois, I., Christensen, J. H., Chien, R.-Y., Deushi, M., Dong, X., Effertz, P., Faluvegi, G., Flanner, M., Fu, J. S., Gauss, M., Huey, G., Im, U., Kivi, R., Marelle, L., Onishi, T., Oshima, N., Petropavlovskikh, I., Peischl, J., Plummer, D. A., Pozzoli, L., Raut, J.-C., Ryerson, T., Skeie, R., Solberg, S., Thomas, M. A., Thompson, C., Tsigaridis, K., Tsyro, S., Turnock, S. T., von Salzen, K., and Tarasick, D. W., Paper 1: Arctic tropospheric ozone: assessment of current knowledge and model performance, Atmospheric Chemistry and Physics, 23, 637–661, https://doi.org/10.5194/acp-23-637-2023
Tags: Arctic, Ozone, Sonde, Tropospheric Ozone
2023, Karagkiozidis, D., Koukouli M-E, Bais A, Balis D, Tzoumaka P., Assessment of the NO2 Spatio-Temporal Variability over Thessaloniki, Greece, Using MAX-DOAS Measurements and Comparison with S5P/TROPOMI Observations, Applied Sciences, 13(4):2641, https://doi.org/10.3390/app13042641
Tags: NO2, Satellite, UVVis
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, Sullivan, J., Apituley, A., Mettig, N., Kreher, K., Knowland, K.E., Allaart, M., Piters, A., Van Roozendael, M.,Veefkind, P.. Ziemke, J.R. Kramarova, N., Weber, M., Rozanov, A., Twigg, L., Sumnicht, G., McGee, T.J., 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, Satellite, Sonde, UVVis
2022, Trieu, T.T.N., I. Morino, O. Uchino, Y. Tsutsumi, T. Sakai, T. Nagai, A. Yamazaki, H. Okumura, K. Arai, K. Shiomi, D.F. Pollard, B. Liley , Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data, International Journal of Remote Sensing, 43:5, 1770-1799, https://doi.org/10.1080/01431161.2022.2038395
Tags: Aerosol, Clouds, FTIR, Lidar, Satellite, UVVis, XCH4, XCO2