Articles | Volume 13, issue 12
https://doi.org/10.5194/amt-13-6407-2020
https://doi.org/10.5194/amt-13-6407-2020
Research article
 | 
30 Nov 2020
Research article |  | 30 Nov 2020

Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI

Maurits L. Kooreman, Piet Stammes, Victor Trees, Maarten Sneep, L. Gijsbert Tilstra, Martin de Graaf, Deborah C. Stein Zweers, Ping Wang, Olaf N. E. Tuinder, and J. Pepijn Veefkind

Related authors

Sun-induced fluorescence and near-infrared reflectance of vegetation track the seasonal dynamics of gross primary production over Africa
Anteneh Getachew Mengistu, Gizaw Mengistu Tsidu, Gerbrand Koren, Maurits L. Kooreman, K. Folkert Boersma, Torbern Tagesson, Jonas Ardö, Yann Nouvellon, and Wouter Peters
Biogeosciences, 18, 2843–2857, https://doi.org/10.5194/bg-18-2843-2021,https://doi.org/10.5194/bg-18-2843-2021, 2021
Short summary
Improved SIFTER v2 algorithm for long-term GOME-2A satellite retrievals of fluorescence with a correction for instrument degradation
Erik van Schaik, Maurits L. Kooreman, Piet Stammes, L. Gijsbert Tilstra, Olaf N. E. Tuinder, Abram F. J. Sanders, Willem W. Verstraeten, Rüdiger Lang, Alessandra Cacciari, Joanna Joiner, Wouter Peters, and K. Folkert Boersma
Atmos. Meas. Tech., 13, 4295–4315, https://doi.org/10.5194/amt-13-4295-2020,https://doi.org/10.5194/amt-13-4295-2020, 2020
Short summary

Related subject area

Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Characterization of stratospheric particle size distribution uncertainties using SAGE II and SAGE III/ISS extinction spectra
Travis N. Knepp, Mahesh Kovilakam, Larry Thomason, and Stephen J. Miller
Atmos. Meas. Tech., 17, 2025–2054, https://doi.org/10.5194/amt-17-2025-2024,https://doi.org/10.5194/amt-17-2025-2024, 2024
Short summary
Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager
Mijin Kim, Robert C. Levy, Lorraine A. Remer, Shana Mattoo, and Pawan Gupta
Atmos. Meas. Tech., 17, 1913–1939, https://doi.org/10.5194/amt-17-1913-2024,https://doi.org/10.5194/amt-17-1913-2024, 2024
Short summary
Aerosol and cloud data processing and optical property retrieval algorithms for the spaceborne ACDL/DQ-1
Guangyao Dai, Songhua Wu, Wenrui Long, Jiqiao Liu, Yuan Xie, Kangwen Sun, Fanqian Meng, Xiaoquan Song, Zhongwei Huang, and Weibiao Chen
Atmos. Meas. Tech., 17, 1879–1890, https://doi.org/10.5194/amt-17-1879-2024,https://doi.org/10.5194/amt-17-1879-2024, 2024
Short summary
Derivation of depolarization ratios of aerosol fluorescence and water vapor Raman backscatters from lidar measurements
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, William Boissiere, Mikhail Korenskiy, Nikita Kasianik, Sergey Khaykyn, and Robin Miri
Atmos. Meas. Tech., 17, 1023–1036, https://doi.org/10.5194/amt-17-1023-2024,https://doi.org/10.5194/amt-17-1023-2024, 2024
Short summary
Long-term aerosol particle depolarization ratio measurements with HALO Photonics Doppler lidar
Viet Le, Hannah Lobo, Ewan J. O'Connor, and Ville Vakkari
Atmos. Meas. Tech., 17, 921–941, https://doi.org/10.5194/amt-17-921-2024,https://doi.org/10.5194/amt-17-921-2024, 2024
Short summary

Cited articles

Anderson, G. P., Clough, S. A., Kneizys, F. X., Chetwynd, J. H., and Shettle, E. P.: AFGL Atmospheric Constituent Profiles (0–120 km), AFGL-TR-86-0110, Air Force Geophysics Lab., Hanscom AFB, MA, USA, 1986. a
Apituley, A., Pedergnana, M., Sneep, M., Veefkind, J., Loyola, D., and Stein Zweers, D. C.: TROPOMI PUM of the UV aerosol index document number – S5P-KNMI-L2-0026-MA, KNMI, de Bilt, the Netherlands, CI-7570-PUM, p. 116, available at: http://www.tropomi.eu/documents/pum (last access: 25 November 2020), 2018. a
Arévalo, V., González, J., and Ambrioso, G.: Detecting Shadow QuickBird satellite images, Commission VII Mid-term Symposium “Remote Sensing: From Pixels to Processes”, 8–11 May 2006, Enschede, the Netherlands, available at: https://www.isprs.org/PROCEEDINGS/XXXVI/part7/ (last access: 25 November 2020), 2006. a
Boucher, O.: Atmospheric Aerosols. Properties and Climate Impacts, Springer, Dordrecht, the Netherlands, 2015. a
Chandrasekhar, S.: Radiative Transfer, Mineola, Dover, UK, 1960. a
Download
Short summary
We investigated the influence of clouds on the Absorbing Aerosol Index (AAI), an indicator of the presence of small particles in the atmosphere. Clouds produce artifacts in AAI calculations on the individual measurement (7 km) scale, which was not seen with previous instruments, as well as on large (1000+ km) scales. To reduce these artefacts, we used three different AAI calculation techniques of varying complexity. We find that the AAI artifacts are reduced when using more complex techniques.