Publications

Following key publications have come out of Aerosol_cci in the last few years

Brühl, C., Schallock, J., Klingmüller, K., Robert, C., Bingen, C., Clarisse, L., Heckel, A., North, P., and Rieger, L.: Stratospheric aerosol radiative forcing simulated by the chemistry climate model EMAC using Aerosol CCI satellite data, Atmos. Chem. Phys., 18, 12845–12857, https://doi.org/10.5194/acp-18-12845-2018, 2018

de Leeuw, G., Sogacheva, L., Rodriguez, E., Kourtidis, K., Georgoulias, A. K., Alexandri, G., Amiridis, V., Proestakis, E., Marinou, E., Xue, Y., and van der A, R.: Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns, Atmos. Chem. Phys., 18, 1573–1592, https://doi.org/10.5194/acp-18-1573-2018, 2018.

Sogacheva, L., de Leeuw, G., Rodriguez, E., Kolmonen, P., Georgoulias, A. K., Alexandri, G., Kourtidis, K., Proestakis, E., Marinou, E., Amiridis, V., Xue, Y., and van der A, R. J.: Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017), Atmos. Chem. Phys., 18, 11389–11407, https://doi.org/10.5194/acp-18-11389-2018, 2018.

Sogacheva, L., Rodriguez, E., Kolmonen, P., Virtanen, T. H., Saponaro, G., de Leeuw, G., Georgoulias, A. K., Alexandri, G., Kourtidis, K., and van der A, R. J.: Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations, Atmos. Chem. Phys., 18, 16631–16652, https://doi.org/10.5194/acp-18-16631-2018, 2018.

Kylling, A., Vandenbussche, S., Capelle, V., Cuesta, J., Klüser, L., Lelli, L., Popp, T., Stebel, K., and Veefkind, P.: Comparison of dust layer heights from active and passive satellite sensors, Atmos. Meas. Tech., 11, 2911-2936, 2018, https://doi.org/10.5194/amt-11-2911-2018, 2018.

C. E. Bulgin, C. J. Merchant, D. Ghent, L. Klüser, T. Popp, C. Poulsen, L. Sogacheva, Quantifying Uncertainty in Satellite-Retrieved Land Surface Temperature from Cloud Detection Errors, Remote Sensing, 10(4), 616; https://doi.org/10.3390/rs10040616, 2018.

J. Christopher Kaiser, Johannes Hendricks, Mattia Righi, Patrick Jöckel, Holger Tost, Konrad Kandler, Bernadett Weinzierl, Daniel Sauer, Katharina Heimerl, Joshua P. Schwarz, Anne E. Perring, and Thomas Popp, Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation, Geoscientific Model Development, 12, 541–579, https://doi.org/10.5194/gmd-12-541-2019, 2019.

Sogacheva, L., Popp, T., Sayer, A. M., Dubovik, O., Garay, M. J., Heckel, A., Hsu, N. C., Jethva, H., Kahn, R. A., Kolmonen, P., Kosmale, M., de Leeuw, G., Levy, R. C., Litvinov, P., Lyapustin, A., North, P., Torres, O., and Arola, A.: Merging regional and global aerosol optical depth records from major available satellite products, Atmos. Chem. Phys., 20, 2031–2056, https://doi.org/10.5194/acp-20-2031-2020, 2020.

Sayer, A. M., Govaerts, Y., Kolmonen, P., Lipponen, A., Luffarelli, M., Mielonen, T., Patadia, F., Popp, T., Povey, A. C., Stebel, K., and Witek, M. L.: A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing, Atmospheric Measurements and Techniques, 13, 373–404, https://doi.org/10.5194/amt-13-373-2020, 2020.

Popp Thomas, Michaela I. Hegglin, Rainer Hollmann, Fabrice Ardhuin, Annett Bartsch, Ana Bastos, Victoria Bennett, Jacqueline Boutin, Michael Buchwitz, Emilio Chuvieco, Philippe Ciais, Wouter Dorigo, Darren Ghent, Richard Jones, Thomas Lavergne, Christopher Merchant, Benoit Meyssignac, Frank Paul, Shaun Quegan, Tracy Scanlon, Marc Schröder, Stefan Simis, Ulrika Willén, Consistency of satellite climate data records for Earth system monitoring, Bulletin of the American Meteorological Society, 101 E1948–E1971., DOI10.1175/BAMS-D-19-0127.1, 2020

Luffarelli, Marta, Yves Govaerts, and Lucio Franceschini. 2022. “Aerosol Optical Thickness Retrieval in Presence of Cloud: Application to S3A/SLSTR Observations.” Atmosphere 13 (5): 691. https://doi.org/10.3390/atmos13050691

Thomas Popp, Johnathan Mittaz, Systematic propagation of AVHRR AOD uncertainties - a case study to demonstrate the FIDUCEO approach, Remote Sensing, 14, 875, https://doi.org/10.3390/rs14040875, 2022

Selected papers in the last few years which acknowledge Aerosol_cci and / or use Aerosol_cci data

Inness, A. et al., 2019: The CAMS reanalysis of atmospheric composition. Atmospheric Chemistry and Physics, 19(6), 3515–3556, doi:10.5194/acp-19-3515-2019

Kinne, S., 2019: Aerosol radiative effects with MACv2. Atmospheric Chemistry and Physics, 19(16), 10919–10959, doi:10.5194/acp-19-10919-2019

Gliß, J. et al., 2020: Multi-model evaluation of aerosol optical properties in the AeroCom phase III Control experiment, using ground and space based columnar observations from AERONET, MODIS, AATSR and a merged satellite product as well as surface in-situ observations from GAW. Atmos. Chem. Phys. Discuss., 2020, 1–62, doi:10.5194/acp-2019-1214

Gliß, J. et al., 2021: AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations. Atmospheric Chemistry and Physics, 21(1), 87–128, doi:10.5194/acp-21-87-2021

Brühl, C., 2018: Volcanic SO2 data derived from limb viewing satellites for the lower stratosphere from 1998 to 2012, and from nadir viewing satellites for the troposphere. World Data Center for Climate (WDCC) at DKRZ, https://doi.org/10.1594/WDCC/SSIRC_1