Publications
- 9 results
- Tag: UVVis
- Year: 2022
- Year: 2017
- Clear all
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
2022, Pinardi, G., Van Roozendael, M., Hendrick, F., Richter, A., Valks, P., Alwarda, R., Bognar, K., Frieß, U., Granville, J., Gu, M., Johnston, P., Prados-Roman, C., Querel, R., Strong, K., Wagner, T., Wittrock, F., and Yela Gonzalez, M., Ground-based validation of the MetOp-A and MetOp-B GOME-2 OClO measurements, Atmospheric Measurement Techniques, 15, 3439–3463, https://doi.org/10.5194/amt-15-3439-2022
Tags: OClO, Satellite, UVVis, Validation
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, Lauster, B., Dörner, S., Enell, C.-F., Frieß, U., Gu, M., Puķīte, J., Raffalski, U., and Wagner, T., Occurrence of polar stratospheric clouds as derived from ground-based zenith DOAS observations using the colour index, Atmospheric Chemistry and Physics, 22, 15925–15942, https://doi.org/10.5194/acp-22-15925-2022
Tags: Clouds, Polar, UVVis
2022, Koukouli, M.-E., Pseftogkas A, Karagkiozidis D, Skoulidou I, Drosoglou T, Balis D, Bais A, Melas D, Hatzianastassiou N., Air Quality in Two Northern Greek Cities Revealed by Their Tropospheric NO2 Levels, Atmosphere, 13(5):840, https://doi.org/10.3390/atmos13050840
Tags: NO2, UVVis
2017, Knepp, T.N., Richard Querel, Paul Johnston, Larry Thomason, David Flittner, and Joseph M. Zawodny, Intercomparison of Pandora stratospheric NO2 slant column product with the NDACC-certified M07 spectrometer in Lauder, New Zealand, Atmospheric Measurement Techniques, 10, 4363–4372, https://doi.org/10.5194/amt-10-4363-2017
Tags: NO2, Satellite, UVVis, Validation
2017, Peters, E., Gaia Pinardi, André Seyler, Andreas Richter, Folkard Wittrock, Tim Bösch, Michel Van Roozendael, François Hendrick, Theano Drosoglou, Alkiviadis F. Bais, Yugo Kanaya, Xiaoyi Zhao, Kimberly Strong, Johannes Lampel, Rainer Volkamer, Theodore Koenig, Ivan Ortega, Olga Puentedura, Mónica NavarroComas, Laura Gómez, Margarita Yela González, Ankie Piters, Julia Remmers, Yang Wang, Thomas Wagner, Shanshan Wang, Alfonso Saiz-Lopez, David García-Nieto, Carlos A. Cuevas, Nuria Benavent, Richard Querel, Paul Johnston, Oleg Postylyakov, Alexander Borovski, Alexander Elokhov, Ilya Bruchkouski, Haoran Liu, Cheng Liu, Qianqian Hong, Claudia Rivera, Michel Grutter, Wolfgang Stremme, M. Fahim Khokhar, Junaid Khayyam, and John P. Burrows, Investigating differences in DOAS retrieval codes using MAD-CAT campaign data, Atmospheric Measurement Techniques, 10, 955–978, https://doi.org/10.5194/amt-10-955-2017
Tags: UVVis, Validation
2017, Yela, M., Gil-Ojeda, M., Navarro-Comas, M., Gonzalez-Bartolomé, D., Puentedura, O., Funke, B., Iglesias, J., Rodríguez, S., García, O., Ochoa, H., and Deferrari, G., Hemispheric asymmetry in stratospheric NO2 trends, Atmospheric Chemistry and Physics, 17, 13373- 13389, https://doi.org/10.5194/acp-17-13373-2017
Tags: NO2, Trends, UVVis