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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.

Scattering and absorbingaerosolsin the climate system

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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.

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.

The Aerosol project is rooted deeply into the developments of its predecessor project. Aerosol phase 1 and phase 2 project teams were composed of following partners:

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.

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.

Aerosol spray

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The four AATSR data sets are similar in their quality over land to MODIS / MISR but with weaker coverage and less accuracy for high AOD values. The four ATSR-2 data sets cover a historic period observed by few other satellite aerosol sensors.

Atmospheric aerosol

The processing of long-term records (6-monthly extensions and complete reprocessing every 2-3 years) has been transferred to the Copernicus Climate Change Service since 2018 within the contracts C3S_312a_Lot5 (October 2016 – September 2018) and C3S_312b_Lot2 (October 2018 – June 2021).

Troposphere

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Aerosol Phase 1 ran July 2010 to February 2014; Phase 2 ran May 2014 to October 2019. Aerosol_cci+ Phase 1 extended from March 2019 to July 2022. A new project under the CCI extension for new research on aerosol ECVs is foreseen from December 2022 to run for 24 months.

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.

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

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.

Aerosol particles in the atmosphere have an important influence on the Earth's radiative balance by directly reflecting sunlight back into space, as well as absorbing some sunlight and converting it into heat. Aerosols also have an impact on climate by acting as cloud condensation nuclei, which alters cloud properties and their radiative effects. Aerosol particles at surface level impact human health, and are associated with disruption to transport (desert dust storms and volcanic eruptions) and can reduce the solar irradiance available for solar power plants.

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PARASOL / GRASP provides several consistent aerosol properties within one retrieval: AOD, Fine Mode AOD, Single Scattering Albedo.

aerosols中文

The driving objective of the CCI Aerosol project is to provide independently validated, high quality algorithms for processing long-term records of global aerosol properties from European satellite instruments.

Aerosol can

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In response to the requirements of the Global Climate Observing System (GCOS) and the AEROCOM international modelling community, the two former phases of the Aerosol have focused on:

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

The current Aerosol project, running March 2019 to February 2022, focuses on algorithm improvements for the dual view sensor line, in particular the Sentinel-3 SLSTR instrument together with two user case studies (data assimilation for climate services, and science modelling in radiative forcing) and community support (AEROSAT experiments, GEWEX assessment).

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

aerosol spray中文

The Aerosol project provides independently validated, high quality algorithms for processing long-term records of global aerosol properties from European satellite instruments.

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Since operational continuation of data (re-)processing has been transfer to the Copernicus Climate Change Service, more recent versions of updated / improved data records (also including successor sensors SLSTR and OLCI) are available at the Copernicus Climate Data Store

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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.

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