Articles | Volume 18, issue 1
https://doi.org/10.5194/amt-18-73-2025
https://doi.org/10.5194/amt-18-73-2025
Research article
 | 
08 Jan 2025
Research article |  | 08 Jan 2025

Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI

Victor J. H. Trees, Ping Wang, Piet Stammes, Lieuwe G. Tilstra, David P. Donovan, and A. Pier Siebesma

Related authors

MONKI: a three-dimensional Monte Carlo simulator of total and polarised radiation reflected by planetary atmospheres
Victor J. H. Trees, Ping Wang, Job I. Wiltink, Piet Stammes, Daphne M. Stam, David P. Donovan, and A. Pier Siebesma
EGUsphere, https://doi.org/10.5194/egusphere-2025-2197,https://doi.org/10.5194/egusphere-2025-2197, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
A directional surface reflectance climatology determined from TROPOMI observations
Lieuwe G. Tilstra, Martin de Graaf, Victor J. H. Trees, Pavel Litvinov, Oleg Dubovik, and Piet Stammes
Atmos. Meas. Tech., 17, 2235–2256, https://doi.org/10.5194/amt-17-2235-2024,https://doi.org/10.5194/amt-17-2235-2024, 2024
Short summary
DARCLOS: a cloud shadow detection algorithm for TROPOMI
Victor J. H. Trees, Ping Wang, Piet Stammes, Lieuwe G. Tilstra, David P. Donovan, and A. Pier Siebesma
Atmos. Meas. Tech., 15, 3121–3140, https://doi.org/10.5194/amt-15-3121-2022,https://doi.org/10.5194/amt-15-3121-2022, 2022
Short summary
Restoring the top-of-atmosphere reflectance during solar eclipses: a proof of concept with the UV absorbing aerosol index measured by TROPOMI
Victor Trees, Ping Wang, and Piet Stammes
Atmos. Chem. Phys., 21, 8593–8614, https://doi.org/10.5194/acp-21-8593-2021,https://doi.org/10.5194/acp-21-8593-2021, 2021
Short summary
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
Atmos. Meas. Tech., 13, 6407–6426, https://doi.org/10.5194/amt-13-6407-2020,https://doi.org/10.5194/amt-13-6407-2020, 2020
Short summary

Cited articles

Anderson, G. P.: AFGL Atmospheric Constituent Profiles (0-120km), Tech. Rep. AFGL-TR-86-0110, Air Force Geophys. Lab., Hanscom AFB, MA, 48 pp., 1986. a
Bass, A. M. and Paur, R. J.: The ultraviolet cross-sections of ozone. II. Results and temperature dependence, in: Atmospheric ozone, Proceedings of the Quadrennial, edited by: Zerefos, C. S. and Ghazi, A., 611–616, 1985. a
Beirle, S., Borger, C., Dörner, S., Li, A., Hu, Z., Liu, F., Wang, Y., and Wagner, T.: Pinpointing nitrogen oxide emissions from space, Science Advances, 5, eaax9800, https://doi.org/10.1126/sciadv.aax9800, 2019. a
Bovensmann, H., Burrows, J. P., Buchwitz, M., Frerick, J., Noël, S., Rozanov, V. V., Chance, K. V., and Goede, A. P. H.: SCIAMACHY: Mission Objectives and Measurement Modes, J. Atmos. Sci., 56, 127–150, https://doi.org/10.1175/1520-0469(1999)056<0127:SMOAMM>2.0.CO;2, 1999. a
Chandrasekhar, S.: Radiative transfer, Dover Publications, New York, ISBN 10: 0486605906 1960. a
Download
Short summary
Our study investigates the impact of cloud shadows on satellite-based aerosol index measurements over Europe by TROPOMI. Using a cloud shadow detection algorithm and simulations, we found that the overall effect on the aerosol index is minimal. Interestingly, we found that cloud shadows are significantly bluer than their shadow-free surroundings, but the traditional algorithm already (partly) automatically corrects for this increased blueness.
Share