Sensitivities of Amazonian clouds to aerosols and updraft speed
Micael A. Cecchini1,4,Luiz A. T. Machado1,Meinrat O. Andreae2,12,Scot T. Martin3,Rachel I. Albrecht4,Paulo Artaxo5,Henrique M. J. Barbosa5,Stephan Borrmann2,6,Daniel Fütterer7,Tina Jurkat7,Christoph Mahnke2,6,Andreas Minikin8,Sergej Molleker6,Mira L. Pöhlker2,Ulrich Pöschl2,Daniel Rosenfeld9,Christiane Voigt6,7,Bernadett Weinzierl7,10,and Manfred Wendisch11Micael A. Cecchini et al.Micael A. Cecchini1,4,Luiz A. T. Machado1,Meinrat O. Andreae2,12,Scot T. Martin3,Rachel I. Albrecht4,Paulo Artaxo5,Henrique M. J. Barbosa5,Stephan Borrmann2,6,Daniel Fütterer7,Tina Jurkat7,Christoph Mahnke2,6,Andreas Minikin8,Sergej Molleker6,Mira L. Pöhlker2,Ulrich Pöschl2,Daniel Rosenfeld9,Christiane Voigt6,7,Bernadett Weinzierl7,10,and Manfred Wendisch11
Received: 31 Jan 2017 – Discussion started: 01 Mar 2017 – Revised: 21 Jun 2017 – Accepted: 13 Jul 2017 – Published: 28 Aug 2017
Abstract. The effects of aerosol particles and updraft speed on warm-phase cloud microphysical properties are studied in the Amazon region as part of the ACRIDICON-CHUVA experiment. Here we expand the sensitivity analysis usually found in the literature by concomitantly considering cloud evolution, putting the sensitivity quantifications into perspective in relation to in-cloud processing, and by considering the effects on droplet size distribution (DSD) shape. Our in situ aircraft measurements over the Amazon Basin cover a wide range of particle concentration and thermodynamic conditions, from the pristine regions over coastal and forested areas to the southern Amazon, which is highly polluted from biomass burning. The quantitative results show that particle concentration is the primary driver for the vertical profiles of effective diameter and droplet concentration in the warm phase of Amazonian convective clouds, while updraft speeds have a modulating role in the latter and in total condensed water. The cloud microphysical properties were found to be highly variable with altitude above cloud base, which we used as a proxy for cloud evolution since it is a measure of the time droplets that were subject to cloud processing. We show that DSD shape is crucial in understanding cloud sensitivities. The aerosol effect on DSD shape was found to vary with altitude, which can help models to better constrain the indirect aerosol effect on climate.
We study the effects of aerosol particles and updraft speed on the warm phase of Amazonian clouds. We expand the sensitivity analysis usually found in the literature by concomitantly considering cloud evolution and the effects on droplet size distribution (DSD) shape. The quantitative results show that particle concentration is the primary driver for the vertical profiles of effective diameter and droplet concentration in the warm phase of Amazonian convective clouds.
We study the effects of aerosol particles and updraft speed on the warm phase of Amazonian...