Model analysis of biases in the satellite-diagnosed aerosol effect on the cloud liquid water path DOI Creative Commons
Harri Kokkola, Juha Tonttila, Silvia M. Calderón

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(3), P. 1533 - 1543

Published: Feb. 4, 2025

Abstract. The response in cloud water content to changes condensation nuclei remains one of the major uncertainties determining how aerosols can perturb properties. In this study, we used an ensemble large eddy simulations marine stratocumulus clouds investigate correlation between liquid path (LWP) and amount nuclei. We compare directly from model derived using equations which are retrieve satellite observations. Our comparison shows that spatial variability properties instrumental noise retrievals optical depth effective radii results bias satellite-derived path. In-depth investigation high-resolution data part a cloud, assumption adiabaticity does not hold, similar LWP–CDNC (cloud droplet number concentration) relationship as seen data. addition, our analysis significant positive 18 % 40 concentration. However, for individual members, mean was very methods. This suggests if cases carefully chosen meteorological conditions it is ensured concentrations well-defined, be confidently determined

Language: Английский

Model analysis of biases in the satellite-diagnosed aerosol effect on the cloud liquid water path DOI Creative Commons
Harri Kokkola, Juha Tonttila, Silvia M. Calderón

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(3), P. 1533 - 1543

Published: Feb. 4, 2025

Abstract. The response in cloud water content to changes condensation nuclei remains one of the major uncertainties determining how aerosols can perturb properties. In this study, we used an ensemble large eddy simulations marine stratocumulus clouds investigate correlation between liquid path (LWP) and amount nuclei. We compare directly from model derived using equations which are retrieve satellite observations. Our comparison shows that spatial variability properties instrumental noise retrievals optical depth effective radii results bias satellite-derived path. In-depth investigation high-resolution data part a cloud, assumption adiabaticity does not hold, similar LWP–CDNC (cloud droplet number concentration) relationship as seen data. addition, our analysis significant positive 18 % 40 concentration. However, for individual members, mean was very methods. This suggests if cases carefully chosen meteorological conditions it is ensured concentrations well-defined, be confidently determined

Language: Английский

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