Articles | Volume 17, issue 11
Atmos. Chem. Phys., 17, 7157–7174, 2017
https://doi.org/10.5194/acp-17-7157-2017
Atmos. Chem. Phys., 17, 7157–7174, 2017
https://doi.org/10.5194/acp-17-7157-2017

Research article 16 Jun 2017

Research article | 16 Jun 2017

TEMIS UV product validation using NILU-UV ground-based measurements in Thessaloniki, Greece

Melina-Maria Zempila et al.

Related authors

Variability of NO2 concentrations over China and effect on air quality derived from satellite and ground-based observations
Cheng Fan, Zhengqiang Li, Ying Li, Jiantao Dong, Ronald van der A, and Gerrit de Leeuw
Atmos. Chem. Phys., 21, 7723–7748, https://doi.org/10.5194/acp-21-7723-2021,https://doi.org/10.5194/acp-21-7723-2021, 2021
Short summary
Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations
Wannan Wang, Ronald van der A, Jieying Ding, Michiel van Weele, and Tianhai Cheng
Atmos. Chem. Phys., 21, 7253–7269, https://doi.org/10.5194/acp-21-7253-2021,https://doi.org/10.5194/acp-21-7253-2021, 2021
Short summary
Comparative assessment of TROPOMI and OMI formaldehyde observations against MAX-DOAS network column measurements
Isabelle De Smedt, Gaia Pinardi, Corinne Vigouroux, Steven Compernolle, Alkis Bais, Nuria Benavent, Folkert Boersma, Ka-Lok Chan, Sebastian Donner, Kai-Uwe Eichmann, Pascal Hedelt, François Hendrick, Hitoshi Irie, Vinod Kumar, Jean-Christopher Lambert, Bavo Langerock, Christophe Lerot, Cheng Liu, Diego Loyola, Ankie Piters, Andreas Richter, Claudia Inés Rivera Cárdenas, Fabian Romahn, Robert George Ryan, Vinayak Sinha, Nicolas Theys, Jonas Vlietinck, Thomas Wagner, Ting Wang, Huan Yu, and Michel Van Roozendael
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-378,https://doi.org/10.5194/acp-2021-378, 2021
Revised manuscript accepted for ACP
Short summary
Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece
Ioanna Skoulidou, Maria-Elissavet Koukouli, Astrid Manders, Arjo Segers, Dimitris Karagkiozidis, Myrto Gratsea, Dimitris Balis, Alkiviadis Bais, Evangelos Gerasopoulos, Trisevgeni Stavrakou, Jos van Geffen, Henk Eskes, and Andreas Richter
Atmos. Chem. Phys., 21, 5269–5288, https://doi.org/10.5194/acp-21-5269-2021,https://doi.org/10.5194/acp-21-5269-2021, 2021
Short summary
Application of the Complete Data Fusion algorithm to the ozone profiles measured by geostationary and low-Earth-orbit satellites: a feasibility study
Nicola Zoppetti, Simone Ceccherini, Bruno Carli, Samuele Del Bianco, Marco Gai, Cecilia Tirelli, Flavio Barbara, Rossana Dragani, Antti Arola, Jukka Kujanpää, Jacob C. A. van Peet, Ronald van der A, and Ugo Cortesi
Atmos. Meas. Tech., 14, 2041–2053, https://doi.org/10.5194/amt-14-2041-2021,https://doi.org/10.5194/amt-14-2041-2021, 2021
Short summary

Related subject area

Subject: Radiation | Research Activity: Remote Sensing | Altitude Range: Mesosphere | Science Focus: Physics (physical properties and processes)
Analysis of 24 years of mesopause region OH rotational temperature observations at Davis, Antarctica – Part 1: long-term trends
W. John R. French, Frank J. Mulligan, and Andrew R. Klekociuk
Atmos. Chem. Phys., 20, 6379–6394, https://doi.org/10.5194/acp-20-6379-2020,https://doi.org/10.5194/acp-20-6379-2020, 2020
Short summary
OH level populations and accuracies of Einstein-A coefficients from hundreds of measured lines
Stefan Noll, Holger Winkler, Oleg Goussev, and Bastian Proxauf
Atmos. Chem. Phys., 20, 5269–5292, https://doi.org/10.5194/acp-20-5269-2020,https://doi.org/10.5194/acp-20-5269-2020, 2020
Short summary
Global nighttime atomic oxygen abundances from GOMOS hydroxyl airglow measurements in the mesopause region
Qiuyu Chen, Martin Kaufmann, Yajun Zhu, Jilin Liu, Ralf Koppmann, and Martin Riese
Atmos. Chem. Phys., 19, 13891–13910, https://doi.org/10.5194/acp-19-13891-2019,https://doi.org/10.5194/acp-19-13891-2019, 2019
Short summary
Technical note: Bimodality in mesospheric OH rotational population distributions and implications for temperature measurements
Konstantinos S. Kalogerakis
Atmos. Chem. Phys., 19, 2629–2634, https://doi.org/10.5194/acp-19-2629-2019,https://doi.org/10.5194/acp-19-2629-2019, 2019
Short summary
How long do satellites need to overlap? Evaluation of climate data stability from overlapping satellite records
Elizabeth C. Weatherhead, Jerald Harder, Eduardo A. Araujo-Pradere, Greg Bodeker, Jason M. English, Lawrence E. Flynn, Stacey M. Frith, Jeffrey K. Lazo, Peter Pilewskie, Mark Weber, and Thomas N. Woods
Atmos. Chem. Phys., 17, 15069–15093, https://doi.org/10.5194/acp-17-15069-2017,https://doi.org/10.5194/acp-17-15069-2017, 2017
Short summary

Cited articles

Allaart, M., van Weele, M., Fortuin, P., and Kelder, H.: An empirical model to predict the UV-index based on solar zenith angles and total ozone, Meteorol. Appl., 11, 59–65, 2004.
Arola, A., Kazadzis, S., Lindfors, A., et al.: A new approach to correct for absorbing aerosols in OMI UV, Geophys. Res. Lett., 36, L22805, https://doi.org/10.1029/2009GL041137, 2009.
Badosa, J. and van Weele, M.: Effects of aerosols on UV index, Tech. Rep. WR-2002-07, KNMI, De Bilt, 2002.
Bais, A., Zerefos, C., Ziomas, I., Zoumakis, N., Mantis, H., Hofmann, D., and Fiocco, G.: Decreases in the Ozone and the S02 Columns Following the Appearence of the El Chichon Aerosol Cloud at Midlatitude, in: Atmospheric Ozone, Springer, 353–356, 1985.
Bais, A. F., Kazantzidis, A., Kazadzis, S., Balis, D. S., Zerefos, C. S., and Meleti, C.: Deriving an effective aerosol single scattering albedo from spectral surface UV irradiance measurements, Atmos. Environ., 39, 1093–1102, 2005.
Download
Short summary
NILU irradiances at five UV channels were used to produce CIE, vitamin D, and DNA- damage daily doses via a neural network (NN) model. The NN was trained with collocated weighted Brewer spectra and uncertainty in the NILU-derived UV effective doses was 7.5 %. TEMIS UV products were found to be ~ 12.5 % higher than the NILU estimates. The results improve for cloud-free days with differences of 0.57 % for CIE, 1.22 % for vitamin D, and 1.18 % for DNA damage, with standard deviations of ~ 11–13 %.
Altmetrics
Final-revised paper
Preprint