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- Highlight articles
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ACP | Articles | Volume 20, issue 5
Atmos. Chem. Phys., 20, 3209–3230, 2020
https://doi.org/10.5194/acp-20-3209-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-3209-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 20, 3209–3230, 2020
https://doi.org/10.5194/acp-20-3209-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-3209-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Technical note 17 Mar 2020
Technical note | 17 Mar 2020
Technical note: Fundamental aspects of ice nucleation via pore condensation and freezing including Laplace pressure and growth into macroscopic ice
Claudia Marcolli
Related authors
Robert O. David, Jonas Fahrni, Claudia Marcolli, Fabian Mahrt, Dominik Brühwiler, and Zamin A. Kanji
Atmos. Chem. Phys., 20, 9419–9440, https://doi.org/10.5194/acp-20-9419-2020, https://doi.org/10.5194/acp-20-9419-2020, 2020
Short summary
Short summary
Ice crystal formation plays an important role in controlling the Earth's climate. However, the mechanisms responsible for ice formation in the atmosphere are still uncertain. Here we use surrogates for atmospherically relevant porous particles to determine the role of pore diameter and wettability on the ability of porous particles to nucleate ice in the atmosphere. Our results are consistent with the pore condensation and freeing mechanism.
María Cascajo-Castresana, Robert O. David, Maiara A. Iriarte-Alonso, Alexander M. Bittner, and Claudia Marcolli
Atmos. Chem. Phys., 20, 3291–3315, https://doi.org/10.5194/acp-20-3291-2020, https://doi.org/10.5194/acp-20-3291-2020, 2020
Short summary
Short summary
Atmospheric ice-nucleating particles are rare but relevant for cloud glaciation. A source of particles that nucleate ice above −15 °C is biological material including some proteins. Here we show that proteins of very diverse functions and structures can nucleate ice. Among these, the iron storage protein apoferritin stands out, with activity up to −4 °C. We show that its activity does not stem from correctly assembled proteins but from misfolded protein monomers or oligomers and aggregates.
Robert O. David, Maria Cascajo-Castresana, Killian P. Brennan, Michael Rösch, Nora Els, Julia Werz, Vera Weichlinger, Lin S. Boynton, Sophie Bogler, Nadine Borduas-Dedekind, Claudia Marcolli, and Zamin A. Kanji
Atmos. Meas. Tech., 12, 6865–6888, https://doi.org/10.5194/amt-12-6865-2019, https://doi.org/10.5194/amt-12-6865-2019, 2019
Short summary
Short summary
Here we present the development and applicability of the DRoplet Ice Nuclei Counter Zurich (DRINCZ). DRINCZ allows for ice nuclei in the immersion mode to be quantified between 0 and -25 °C with an uncertainty of ±0.9 °C. Furthermore, we present a new method for assessing biases in drop-freezing apparatuses and cumulative ice-nucleating-particle concentrations from snow samples collected in the Austrian Alps at the Sonnblick Observatory.
Anand Kumar, Claudia Marcolli, and Thomas Peter
Atmos. Chem. Phys., 19, 6035–6058, https://doi.org/10.5194/acp-19-6035-2019, https://doi.org/10.5194/acp-19-6035-2019, 2019
Short summary
Short summary
This paper not only interests the atmospheric science community but has a potential to cater to a broader audience. We discuss both long- and
short-term effects of various
atmospherically relevantchemical species on a fairly abundant mineral surface
Quartz. We of course discuss these chemical interactions from the perspective of fate of airborne mineral dust but the same interactions could be interesting for studies on minerals at the ground level.
Anand Kumar, Claudia Marcolli, and Thomas Peter
Atmos. Chem. Phys., 19, 6059–6084, https://doi.org/10.5194/acp-19-6059-2019, https://doi.org/10.5194/acp-19-6059-2019, 2019
Short summary
Short summary
This paper not only interests the Atmospheric Science community but has a potential to cater to a broader audience. We discuss both long- and short-term effects of various
atmospherically relevantchemical species on fairly abundant mineral surfaces like feldspars and clays. We of course discuss these chemical interactions from the perspective of fate of airborne mineral dust but the same interactions could be interesting for studies on minerals at the ground level.
Fabian Mahrt, Claudia Marcolli, Robert O. David, Philippe Grönquist, Eszter J. Barthazy Meier, Ulrike Lohmann, and Zamin A. Kanji
Atmos. Chem. Phys., 18, 13363–13392, https://doi.org/10.5194/acp-18-13363-2018, https://doi.org/10.5194/acp-18-13363-2018, 2018
Short summary
Short summary
The ice nucleation ability of different soot particles in the cirrus and mixed-phase cloud temperature regime is presented. The impact of aerosol particle size, particle morphology, organic matter and hydrophilicity on ice nucleation is examined. We propose ice nucleation proceeds via a pore condensation freezing mechanism for soot particles with the necessary physicochemical properties that nucleated ice well below water saturation.
Anand Kumar, Claudia Marcolli, Beiping Luo, and Thomas Peter
Atmos. Chem. Phys., 18, 7057–7079, https://doi.org/10.5194/acp-18-7057-2018, https://doi.org/10.5194/acp-18-7057-2018, 2018
Short summary
Short summary
We have performed immersion freezing experiments with microcline (most active ice nucleation, IN, K-feldspar polymorph) and investigated the effect of ammonium and non-ammonium solutes on its IN efficiency. We report increased IN efficiency of microcline in dilute ammonia- or ammonium-containing solutions, which opens up a pathway for condensation freezing occurring at a warmer temperature than immersion freezing.
Ulrich K. Krieger, Franziska Siegrist, Claudia Marcolli, Eva U. Emanuelsson, Freya M. Gøbel, Merete Bilde, Aleksandra Marsh, Jonathan P. Reid, Andrew J. Huisman, Ilona Riipinen, Noora Hyttinen, Nanna Myllys, Theo Kurtén, Thomas Bannan, Carl J. Percival, and David Topping
Atmos. Meas. Tech., 11, 49–63, https://doi.org/10.5194/amt-11-49-2018, https://doi.org/10.5194/amt-11-49-2018, 2018
Short summary
Short summary
Vapor pressures of low-volatility organic molecules at atmospheric temperatures reported in the literature often differ by several orders of magnitude between measurement techniques. These discrepancies exceed the stated uncertainty of each technique, which is generally reported to be smaller than a factor of 2. We determined saturation vapor pressures for the homologous series of polyethylene glycols ranging in vapor pressure at 298 K from 1E−7 Pa to 5E−2 Pa as a reference set.
Lisa Stirnweis, Claudia Marcolli, Josef Dommen, Peter Barmet, Carla Frege, Stephen M. Platt, Emily A. Bruns, Manuel Krapf, Jay G. Slowik, Robert Wolf, Andre S. H. Prévôt, Urs Baltensperger, and Imad El-Haddad
Atmos. Chem. Phys., 17, 5035–5061, https://doi.org/10.5194/acp-17-5035-2017, https://doi.org/10.5194/acp-17-5035-2017, 2017
Lukas Kaufmann, Claudia Marcolli, Beiping Luo, and Thomas Peter
Atmos. Chem. Phys., 17, 3525–3552, https://doi.org/10.5194/acp-17-3525-2017, https://doi.org/10.5194/acp-17-3525-2017, 2017
Short summary
Short summary
To improve the understanding of heterogeneous ice nucleation, we have subjected different ice nuclei to repeated freezing cycles and evaluated the freezing temperatures with different parameterizations of classical nucleation theory. It was found that two fit parameters were necessary to describe the temperature dependence of the nucleation rate.
Claudia Marcolli
Atmos. Chem. Phys., 17, 1595–1622, https://doi.org/10.5194/acp-17-1595-2017, https://doi.org/10.5194/acp-17-1595-2017, 2017
Short summary
Short summary
Laboratory studies from the last century have shown that some types of particles are susceptible to pre-activation, i.e. they are able to develop macroscopic ice at warmer temperatures or lower relative humidities after they had been involved in an ice nucleation event before. This review analyses these works under the presumption that pre-activation occurs by ice preserved in pores, and it discusses atmospheric scenarios for which pre-activation might be important.
Lukas Kaufmann, Claudia Marcolli, Julian Hofer, Valeria Pinti, Christopher R. Hoyle, and Thomas Peter
Atmos. Chem. Phys., 16, 11177–11206, https://doi.org/10.5194/acp-16-11177-2016, https://doi.org/10.5194/acp-16-11177-2016, 2016
Short summary
Short summary
We investigated dust samples from dust source regions all over the globe with respect to their ice nucleation activity and their mineralogical composition. Stones of reference minerals were milled and investigated the same way as the natural dust samples. We found that the mineralogical composition is a major determinant of ice nucleation ability. Natural samples consist of mixtures of minerals with remarkably similar ice nucleation ability.
Baban Nagare, Claudia Marcolli, André Welti, Olaf Stetzer, and Ulrike Lohmann
Atmos. Chem. Phys., 16, 8899–8914, https://doi.org/10.5194/acp-16-8899-2016, https://doi.org/10.5194/acp-16-8899-2016, 2016
Short summary
Short summary
The relative importance of contact freezing and immersion freezing at mixed-phase cloud temperatures is the subject of debate. We performed experiments using continuous-flow diffusion chambers to compare the freezing efficiency of ice-nucleating particles for both these nucleation modes. Silver iodide, kaolinite and Arizona Test Dust were used as ice-nucleating particles. We could not confirm the dominance of contact freezing over immersion freezing for our experimental conditions.
Claudia Marcolli, Baban Nagare, André Welti, and Ulrike Lohmann
Atmos. Chem. Phys., 16, 8915–8937, https://doi.org/10.5194/acp-16-8915-2016, https://doi.org/10.5194/acp-16-8915-2016, 2016
Short summary
Short summary
Silver iodide is one of the best-investigated ice nuclei. It has relevance for the atmosphere since it is used for glaciogenic cloud seeding. Nevertheless, many open questions remain. This paper gives an overview of silver iodide as an ice nucleus and tries to identify the factors that influence the ice nucleation ability of silver iodide.
Lindsay Renbaum-Wolff, Mijung Song, Claudia Marcolli, Yue Zhang, Pengfei F. Liu, James W. Grayson, Franz M. Geiger, Scot T. Martin, and Allan K. Bertram
Atmos. Chem. Phys., 16, 7969–7979, https://doi.org/10.5194/acp-16-7969-2016, https://doi.org/10.5194/acp-16-7969-2016, 2016
B. Nagare, C. Marcolli, O. Stetzer, and U. Lohmann
Atmos. Chem. Phys., 15, 13759–13776, https://doi.org/10.5194/acp-15-13759-2015, https://doi.org/10.5194/acp-15-13759-2015, 2015
Short summary
Short summary
We determined collision efficiencies of cloud droplets with aerosol particles experimentally and found that they were around 1 order of magnitude higher than theoretical formulations that include Brownian diffusion, impaction, interception, thermophoretic, diffusiophoretic and electric forces. This is most probably due to uncertainties and inaccuracies in the theoretical formulations of thermophoretic and diffusiophoretic processes.
D. M. Lienhard, A. J. Huisman, U. K. Krieger, Y. Rudich, C. Marcolli, B. P. Luo, D. L. Bones, J. P. Reid, A. T. Lambe, M. R. Canagaratna, P. Davidovits, T. B. Onasch, D. R. Worsnop, S. S. Steimer, T. Koop, and T. Peter
Atmos. Chem. Phys., 15, 13599–13613, https://doi.org/10.5194/acp-15-13599-2015, https://doi.org/10.5194/acp-15-13599-2015, 2015
Short summary
Short summary
New data of water diffusivity in secondary organic aerosol (SOA) material and organic/inorganic model mixtures is presented over an extensive temperature range. Our data suggest that water diffusion in SOA is sufficiently fast so that it is unlikely to have significant consequences on the direct climatic effect under tropospheric conditions. Glass formation in SOA is unlikely to restrict homogeneous ice nucleation.
E. Hammer, N. Bukowiecki, B. P. Luo, U. Lohmann, C. Marcolli, E. Weingartner, U. Baltensperger, and C. R. Hoyle
Atmos. Chem. Phys., 15, 10309–10323, https://doi.org/10.5194/acp-15-10309-2015, https://doi.org/10.5194/acp-15-10309-2015, 2015
Short summary
Short summary
An important quantity which determines aerosol activation and cloud formation is the effective peak supersaturation. The box model ZOMM was used to simulate the effective peak supersaturation experienced by an air parcel approaching a high-alpine research station in Switzerland. With the box model the sensitivity of the effective peak supersaturation to key aerosol and dynamical parameters was investigated.
G. Ganbavale, A. Zuend, C. Marcolli, and T. Peter
Atmos. Chem. Phys., 15, 447–493, https://doi.org/10.5194/acp-15-447-2015, https://doi.org/10.5194/acp-15-447-2015, 2015
Short summary
Short summary
This study presents a new, improved parameterisation of the temperature dependence of activity coefficients implemented in the AIOMFAC group-contribution model. The AIOMFAC model with the improved parameterisation is applicable for a large variety of aqueous organic as well as water-free organic solutions of relevance for atmospheric aerosols. The new model parameters were determined based on published and new thermodynamic equilibrium data covering a temperature range from ~190 to 440 K.
G. Ganbavale, C. Marcolli, U. K. Krieger, A. Zuend, G. Stratmann, and T. Peter
Atmos. Chem. Phys., 14, 9993–10012, https://doi.org/10.5194/acp-14-9993-2014, https://doi.org/10.5194/acp-14-9993-2014, 2014
C. Marcolli
Atmos. Chem. Phys., 14, 2071–2104, https://doi.org/10.5194/acp-14-2071-2014, https://doi.org/10.5194/acp-14-2071-2014, 2014
A. J. Huisman, U. K. Krieger, A. Zuend, C. Marcolli, and T. Peter
Atmos. Chem. Phys., 13, 6647–6662, https://doi.org/10.5194/acp-13-6647-2013, https://doi.org/10.5194/acp-13-6647-2013, 2013
Robert O. David, Jonas Fahrni, Claudia Marcolli, Fabian Mahrt, Dominik Brühwiler, and Zamin A. Kanji
Atmos. Chem. Phys., 20, 9419–9440, https://doi.org/10.5194/acp-20-9419-2020, https://doi.org/10.5194/acp-20-9419-2020, 2020
Short summary
Short summary
Ice crystal formation plays an important role in controlling the Earth's climate. However, the mechanisms responsible for ice formation in the atmosphere are still uncertain. Here we use surrogates for atmospherically relevant porous particles to determine the role of pore diameter and wettability on the ability of porous particles to nucleate ice in the atmosphere. Our results are consistent with the pore condensation and freeing mechanism.
María Cascajo-Castresana, Robert O. David, Maiara A. Iriarte-Alonso, Alexander M. Bittner, and Claudia Marcolli
Atmos. Chem. Phys., 20, 3291–3315, https://doi.org/10.5194/acp-20-3291-2020, https://doi.org/10.5194/acp-20-3291-2020, 2020
Short summary
Short summary
Atmospheric ice-nucleating particles are rare but relevant for cloud glaciation. A source of particles that nucleate ice above −15 °C is biological material including some proteins. Here we show that proteins of very diverse functions and structures can nucleate ice. Among these, the iron storage protein apoferritin stands out, with activity up to −4 °C. We show that its activity does not stem from correctly assembled proteins but from misfolded protein monomers or oligomers and aggregates.
Robert O. David, Maria Cascajo-Castresana, Killian P. Brennan, Michael Rösch, Nora Els, Julia Werz, Vera Weichlinger, Lin S. Boynton, Sophie Bogler, Nadine Borduas-Dedekind, Claudia Marcolli, and Zamin A. Kanji
Atmos. Meas. Tech., 12, 6865–6888, https://doi.org/10.5194/amt-12-6865-2019, https://doi.org/10.5194/amt-12-6865-2019, 2019
Short summary
Short summary
Here we present the development and applicability of the DRoplet Ice Nuclei Counter Zurich (DRINCZ). DRINCZ allows for ice nuclei in the immersion mode to be quantified between 0 and -25 °C with an uncertainty of ±0.9 °C. Furthermore, we present a new method for assessing biases in drop-freezing apparatuses and cumulative ice-nucleating-particle concentrations from snow samples collected in the Austrian Alps at the Sonnblick Observatory.
Anand Kumar, Claudia Marcolli, and Thomas Peter
Atmos. Chem. Phys., 19, 6035–6058, https://doi.org/10.5194/acp-19-6035-2019, https://doi.org/10.5194/acp-19-6035-2019, 2019
Short summary
Short summary
This paper not only interests the atmospheric science community but has a potential to cater to a broader audience. We discuss both long- and
short-term effects of various
atmospherically relevantchemical species on a fairly abundant mineral surface
Quartz. We of course discuss these chemical interactions from the perspective of fate of airborne mineral dust but the same interactions could be interesting for studies on minerals at the ground level.
Anand Kumar, Claudia Marcolli, and Thomas Peter
Atmos. Chem. Phys., 19, 6059–6084, https://doi.org/10.5194/acp-19-6059-2019, https://doi.org/10.5194/acp-19-6059-2019, 2019
Short summary
Short summary
This paper not only interests the Atmospheric Science community but has a potential to cater to a broader audience. We discuss both long- and short-term effects of various
atmospherically relevantchemical species on fairly abundant mineral surfaces like feldspars and clays. We of course discuss these chemical interactions from the perspective of fate of airborne mineral dust but the same interactions could be interesting for studies on minerals at the ground level.
Fabian Mahrt, Claudia Marcolli, Robert O. David, Philippe Grönquist, Eszter J. Barthazy Meier, Ulrike Lohmann, and Zamin A. Kanji
Atmos. Chem. Phys., 18, 13363–13392, https://doi.org/10.5194/acp-18-13363-2018, https://doi.org/10.5194/acp-18-13363-2018, 2018
Short summary
Short summary
The ice nucleation ability of different soot particles in the cirrus and mixed-phase cloud temperature regime is presented. The impact of aerosol particle size, particle morphology, organic matter and hydrophilicity on ice nucleation is examined. We propose ice nucleation proceeds via a pore condensation freezing mechanism for soot particles with the necessary physicochemical properties that nucleated ice well below water saturation.
Anand Kumar, Claudia Marcolli, Beiping Luo, and Thomas Peter
Atmos. Chem. Phys., 18, 7057–7079, https://doi.org/10.5194/acp-18-7057-2018, https://doi.org/10.5194/acp-18-7057-2018, 2018
Short summary
Short summary
We have performed immersion freezing experiments with microcline (most active ice nucleation, IN, K-feldspar polymorph) and investigated the effect of ammonium and non-ammonium solutes on its IN efficiency. We report increased IN efficiency of microcline in dilute ammonia- or ammonium-containing solutions, which opens up a pathway for condensation freezing occurring at a warmer temperature than immersion freezing.
Ulrich K. Krieger, Franziska Siegrist, Claudia Marcolli, Eva U. Emanuelsson, Freya M. Gøbel, Merete Bilde, Aleksandra Marsh, Jonathan P. Reid, Andrew J. Huisman, Ilona Riipinen, Noora Hyttinen, Nanna Myllys, Theo Kurtén, Thomas Bannan, Carl J. Percival, and David Topping
Atmos. Meas. Tech., 11, 49–63, https://doi.org/10.5194/amt-11-49-2018, https://doi.org/10.5194/amt-11-49-2018, 2018
Short summary
Short summary
Vapor pressures of low-volatility organic molecules at atmospheric temperatures reported in the literature often differ by several orders of magnitude between measurement techniques. These discrepancies exceed the stated uncertainty of each technique, which is generally reported to be smaller than a factor of 2. We determined saturation vapor pressures for the homologous series of polyethylene glycols ranging in vapor pressure at 298 K from 1E−7 Pa to 5E−2 Pa as a reference set.
Lisa Stirnweis, Claudia Marcolli, Josef Dommen, Peter Barmet, Carla Frege, Stephen M. Platt, Emily A. Bruns, Manuel Krapf, Jay G. Slowik, Robert Wolf, Andre S. H. Prévôt, Urs Baltensperger, and Imad El-Haddad
Atmos. Chem. Phys., 17, 5035–5061, https://doi.org/10.5194/acp-17-5035-2017, https://doi.org/10.5194/acp-17-5035-2017, 2017
Lukas Kaufmann, Claudia Marcolli, Beiping Luo, and Thomas Peter
Atmos. Chem. Phys., 17, 3525–3552, https://doi.org/10.5194/acp-17-3525-2017, https://doi.org/10.5194/acp-17-3525-2017, 2017
Short summary
Short summary
To improve the understanding of heterogeneous ice nucleation, we have subjected different ice nuclei to repeated freezing cycles and evaluated the freezing temperatures with different parameterizations of classical nucleation theory. It was found that two fit parameters were necessary to describe the temperature dependence of the nucleation rate.
Claudia Marcolli
Atmos. Chem. Phys., 17, 1595–1622, https://doi.org/10.5194/acp-17-1595-2017, https://doi.org/10.5194/acp-17-1595-2017, 2017
Short summary
Short summary
Laboratory studies from the last century have shown that some types of particles are susceptible to pre-activation, i.e. they are able to develop macroscopic ice at warmer temperatures or lower relative humidities after they had been involved in an ice nucleation event before. This review analyses these works under the presumption that pre-activation occurs by ice preserved in pores, and it discusses atmospheric scenarios for which pre-activation might be important.
Lukas Kaufmann, Claudia Marcolli, Julian Hofer, Valeria Pinti, Christopher R. Hoyle, and Thomas Peter
Atmos. Chem. Phys., 16, 11177–11206, https://doi.org/10.5194/acp-16-11177-2016, https://doi.org/10.5194/acp-16-11177-2016, 2016
Short summary
Short summary
We investigated dust samples from dust source regions all over the globe with respect to their ice nucleation activity and their mineralogical composition. Stones of reference minerals were milled and investigated the same way as the natural dust samples. We found that the mineralogical composition is a major determinant of ice nucleation ability. Natural samples consist of mixtures of minerals with remarkably similar ice nucleation ability.
Baban Nagare, Claudia Marcolli, André Welti, Olaf Stetzer, and Ulrike Lohmann
Atmos. Chem. Phys., 16, 8899–8914, https://doi.org/10.5194/acp-16-8899-2016, https://doi.org/10.5194/acp-16-8899-2016, 2016
Short summary
Short summary
The relative importance of contact freezing and immersion freezing at mixed-phase cloud temperatures is the subject of debate. We performed experiments using continuous-flow diffusion chambers to compare the freezing efficiency of ice-nucleating particles for both these nucleation modes. Silver iodide, kaolinite and Arizona Test Dust were used as ice-nucleating particles. We could not confirm the dominance of contact freezing over immersion freezing for our experimental conditions.
Claudia Marcolli, Baban Nagare, André Welti, and Ulrike Lohmann
Atmos. Chem. Phys., 16, 8915–8937, https://doi.org/10.5194/acp-16-8915-2016, https://doi.org/10.5194/acp-16-8915-2016, 2016
Short summary
Short summary
Silver iodide is one of the best-investigated ice nuclei. It has relevance for the atmosphere since it is used for glaciogenic cloud seeding. Nevertheless, many open questions remain. This paper gives an overview of silver iodide as an ice nucleus and tries to identify the factors that influence the ice nucleation ability of silver iodide.
Lindsay Renbaum-Wolff, Mijung Song, Claudia Marcolli, Yue Zhang, Pengfei F. Liu, James W. Grayson, Franz M. Geiger, Scot T. Martin, and Allan K. Bertram
Atmos. Chem. Phys., 16, 7969–7979, https://doi.org/10.5194/acp-16-7969-2016, https://doi.org/10.5194/acp-16-7969-2016, 2016
B. Nagare, C. Marcolli, O. Stetzer, and U. Lohmann
Atmos. Chem. Phys., 15, 13759–13776, https://doi.org/10.5194/acp-15-13759-2015, https://doi.org/10.5194/acp-15-13759-2015, 2015
Short summary
Short summary
We determined collision efficiencies of cloud droplets with aerosol particles experimentally and found that they were around 1 order of magnitude higher than theoretical formulations that include Brownian diffusion, impaction, interception, thermophoretic, diffusiophoretic and electric forces. This is most probably due to uncertainties and inaccuracies in the theoretical formulations of thermophoretic and diffusiophoretic processes.
D. M. Lienhard, A. J. Huisman, U. K. Krieger, Y. Rudich, C. Marcolli, B. P. Luo, D. L. Bones, J. P. Reid, A. T. Lambe, M. R. Canagaratna, P. Davidovits, T. B. Onasch, D. R. Worsnop, S. S. Steimer, T. Koop, and T. Peter
Atmos. Chem. Phys., 15, 13599–13613, https://doi.org/10.5194/acp-15-13599-2015, https://doi.org/10.5194/acp-15-13599-2015, 2015
Short summary
Short summary
New data of water diffusivity in secondary organic aerosol (SOA) material and organic/inorganic model mixtures is presented over an extensive temperature range. Our data suggest that water diffusion in SOA is sufficiently fast so that it is unlikely to have significant consequences on the direct climatic effect under tropospheric conditions. Glass formation in SOA is unlikely to restrict homogeneous ice nucleation.
E. Hammer, N. Bukowiecki, B. P. Luo, U. Lohmann, C. Marcolli, E. Weingartner, U. Baltensperger, and C. R. Hoyle
Atmos. Chem. Phys., 15, 10309–10323, https://doi.org/10.5194/acp-15-10309-2015, https://doi.org/10.5194/acp-15-10309-2015, 2015
Short summary
Short summary
An important quantity which determines aerosol activation and cloud formation is the effective peak supersaturation. The box model ZOMM was used to simulate the effective peak supersaturation experienced by an air parcel approaching a high-alpine research station in Switzerland. With the box model the sensitivity of the effective peak supersaturation to key aerosol and dynamical parameters was investigated.
G. Ganbavale, A. Zuend, C. Marcolli, and T. Peter
Atmos. Chem. Phys., 15, 447–493, https://doi.org/10.5194/acp-15-447-2015, https://doi.org/10.5194/acp-15-447-2015, 2015
Short summary
Short summary
This study presents a new, improved parameterisation of the temperature dependence of activity coefficients implemented in the AIOMFAC group-contribution model. The AIOMFAC model with the improved parameterisation is applicable for a large variety of aqueous organic as well as water-free organic solutions of relevance for atmospheric aerosols. The new model parameters were determined based on published and new thermodynamic equilibrium data covering a temperature range from ~190 to 440 K.
G. Ganbavale, C. Marcolli, U. K. Krieger, A. Zuend, G. Stratmann, and T. Peter
Atmos. Chem. Phys., 14, 9993–10012, https://doi.org/10.5194/acp-14-9993-2014, https://doi.org/10.5194/acp-14-9993-2014, 2014
C. Marcolli
Atmos. Chem. Phys., 14, 2071–2104, https://doi.org/10.5194/acp-14-2071-2014, https://doi.org/10.5194/acp-14-2071-2014, 2014
A. J. Huisman, U. K. Krieger, A. Zuend, C. Marcolli, and T. Peter
Atmos. Chem. Phys., 13, 6647–6662, https://doi.org/10.5194/acp-13-6647-2013, https://doi.org/10.5194/acp-13-6647-2013, 2013
Related subject area
Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Improving the Southern Ocean cloud albedo biases in a general circulation model
Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations
Ensemble daily simulations for elucidating cloud–aerosol interactions under a large spread of realistic environmental conditions
Aerosol indirect effects on the temperature–precipitation scaling
The vertical structure and spatial variability of lower-tropospheric water vapor and clouds in the trades
Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model
To what extents do urbanization and air pollution affect fog?
The effects of cloud–aerosol interaction complexity on simulations of presummer rainfall over southern China
Size-dependence in chord characteristics from simulated and observed continental shallow cumulus
Global response of parameterised convective cloud fields to anthropogenic aerosol forcing
Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems
Untangling causality in midlatitude aerosol–cloud adjustments
The relationship between low-level cloud amount and its proxies over the globe by cloud type
Impact of poleward heat and moisture transports on Arctic clouds and climate simulation
Impact of resolution on large-eddy simulation of midlatitude summertime convection
The diurnal stratocumulus-to-cumulus transition over land in southern West Africa
The impacts of biomass burning activities on convective systems over the Maritime Continent
Technical note: Deep learning for creating surrogate models of precipitation in Earth system models
Comparing the impact of environmental conditions and microphysics on the forecast uncertainty of deep convective clouds and hail
Improving aerosol activation in the double-moment Unified Model with CLARIFY measurements
Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions
The challenge of simulating the sensitivity of the Amazonian cloud microstructure to cloud condensation nuclei number concentrations
Diurnal cycle of the semi-direct effect from a persistent absorbing aerosol layer over marine stratocumulus in large-eddy simulations
The impact of secondary ice production on Arctic stratocumulus
Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA
Ice supersaturated regions: properties and validation of ERA-Interim reanalysis with IAGOS in situ water vapour measurements
Modelling the effect of condensed-phase diffusion on the homogeneous nucleation of ice in ultra-viscous particles
Surprising similarities in model and observational aerosol radiative forcing estimates
Simulation of mixed-phase clouds with the ICON large-eddy model in the complex Arctic environment around Ny-Ålesund
The sub-adiabatic model as a concept for evaluating the representation and radiative effects of low-level clouds in a high-resolution atmospheric model
Contribution of local and remote anthropogenic aerosols to a record-breaking torrential rainfall event in Guangdong Province, China
Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects
Separating radiative forcing by aerosol–cloud interactions and rapid cloud adjustments in the ECHAM–HAMMOZ aerosol–climate model using the method of partial radiative perturbations
Effects of aerosol in simulations of realistic shallow cumulus cloud fields in a large domain
Impact of hygroscopic CCN and turbulence on cloud droplet growth: A parcel-DNS approach
Water vapour adjustments and responses differ between climate drivers
Microphysics of summer clouds in central West Antarctica simulated by the Polar Weather Research and Forecasting Model (WRF) and the Antarctic Mesoscale Prediction System (AMPS)
Relative impact of aerosol, soil moisture, and orography perturbations on deep convection
Core and margin in warm convective clouds – Part 1: Core types and evolution during a cloud's lifetime
Core and margin in warm convective clouds – Part 2: Aerosol effects on core properties
Arctic clouds in ECHAM6 and their sensitivity to cloud microphysics and surface fluxes
An emulator approach to stratocumulus susceptibility
Response of Arctic mixed-phase clouds to aerosol perturbations under different surface forcings
Near East Desertification: impact of Dead Sea drying on convective rainfall
Elucidating ice formation pathways in the aerosol–climate model ECHAM6-HAM2
Arctic cloud annual cycle biases in climate models
Contrail cirrus radiative forcing for future air traffic
Lois Thomas, Wojciech W. Grabowski, and Bipin Kumar
Atmos. Chem. Phys., 20, 9087–9100, https://doi.org/10.5194/acp-20-9087-2020, https://doi.org/10.5194/acp-20-9087-2020, 2020
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This work presents an extension of a classical small-scale modeling approach, direct numerical simulation (DNS), to large computational volumes, tens and hundreds of meters on the side. Diffusional growth of cloud droplets is more significantly affected by large scales of turbulent motions because vertical velocity perturbations associated with those scales result in larger and longer-lasting supersaturation perturbations that affect the spread of the droplet spectrum.
Jonathon S. Wright, Xiaoyi Sun, Paul Konopka, Kirstin Krüger, Bernard Legras, Andrea M. Molod, Susann Tegtmeier, Guang J. Zhang, and Xi Zhao
Atmos. Chem. Phys., 20, 8989–9030, https://doi.org/10.5194/acp-20-8989-2020, https://doi.org/10.5194/acp-20-8989-2020, 2020
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High clouds are influential in tropical climate. Although reanalysis cloud fields are essentially model products, they are indirectly constrained by observations and offer global coverage with direct links to advanced water and energy cycle metrics, giving them many useful applications. We describe how high cloud fields are generated in reanalyses, assess their realism and reliability in the tropics, and evaluate how differences in these fields affect other aspects of the reanalysis state.
Annette K. Miltenberger, Paul R. Field, Adrian H. Hill, and Andrew J. Heymsfield
Atmos. Chem. Phys., 20, 7979–8001, https://doi.org/10.5194/acp-20-7979-2020, https://doi.org/10.5194/acp-20-7979-2020, 2020
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Orographic wave clouds offer a natural laboratory to investigate cloud microphysical processes and their representation in atmospheric models. They impact the larger-scale flow by a vertical redistribution of moisture and aerosol. We use detailed observations from the ICE-L campaign to evaluate the representation of these clouds in a state-of-the-art numerical weather prediction model and explore the impact of environmental conditions on the vertical redistribution of moisture.
Vidya Varma, Olaf Morgenstern, Paul Field, Kalli Furtado, Jonny Williams, and Patrick Hyder
Atmos. Chem. Phys., 20, 7741–7751, https://doi.org/10.5194/acp-20-7741-2020, https://doi.org/10.5194/acp-20-7741-2020, 2020
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The present generation of global climate models has an insufficiently reflected short-wave radiation, especially over the Southern Ocean. This leads to an excessive heating of the ocean surface in the model, creating sea surface temperature biases and subsequent problems with atmospheric dynamics. Misrepresentation of clouds could be attributed to this radiation bias; we try to address this issue by slowing the growth rate of ice crystals and improving the supercooled liquid clouds in the model.
Peter Kuma, Adrian J. McDonald, Olaf Morgenstern, Simon P. Alexander, John J. Cassano, Sally Garrett, Jamie Halla, Sean Hartery, Mike J. Harvey, Simon Parsons, Graeme Plank, Vidya Varma, and Jonny Williams
Atmos. Chem. Phys., 20, 6607–6630, https://doi.org/10.5194/acp-20-6607-2020, https://doi.org/10.5194/acp-20-6607-2020, 2020
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We evaluate clouds over the Southern Ocean in the climate model HadGEM3 and reanalysis MERRA-2 using ship-based ceilometer and radiosonde observations. We find the models underestimate cloud cover by 18–25 %, with clouds below 2 km dominant in reality but lacking in the models. We find a strong link between clouds, atmospheric stability and sea surface temperature in observations but not in the models, implying that sub-grid processes do not generate enough cloud in response to these conditions.
Guy Dagan and Philip Stier
Atmos. Chem. Phys., 20, 6291–6303, https://doi.org/10.5194/acp-20-6291-2020, https://doi.org/10.5194/acp-20-6291-2020, 2020
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Ensemble daily simulations for two separate month-long periods over a region near Barbados were conducted to investigate aerosol effects on cloud properties and the atmospheric energy budget. For each day, two simulations were conducted with low and high cloud droplet number concentrations representing clean and polluted conditions, respectively. These simulations are used to distinguish between properties that are robustly affected by changes in aerosol concentrations and those that are not.
Nicolas Da Silva, Sylvain Mailler, and Philippe Drobinski
Atmos. Chem. Phys., 20, 6207–6223, https://doi.org/10.5194/acp-20-6207-2020, https://doi.org/10.5194/acp-20-6207-2020, 2020
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Microphysical effects of aerosols were found to weaken precipitation in a Euro-Mediterranean area. The present numerical study quantifies the processes that may be involved through the use of the temperature–precipitation relationship. It shows larger aerosol effects at low temperatures. At these temperatures, the process that contributes most is the increase in atmospheric stability through an enhanced aerosol cooling effect in the lower troposphere compared to the upper troposphere.
Ann Kristin Naumann and Christoph Kiemle
Atmos. Chem. Phys., 20, 6129–6145, https://doi.org/10.5194/acp-20-6129-2020, https://doi.org/10.5194/acp-20-6129-2020, 2020
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The interaction of water vapor and cloudiness poses challenges for weather and climate models. In this study we compare airborne lidar measurements from two field campaigns in the tropical Atlantic with high-resolution simulations. We find that at kilometer-scale grid spacing, the simulations show good skill in reproducing the water vapor distribution in the trades but struggle to capture the transition from cloud-free to low cloud fraction with increasing moisture.
Montserrat Costa-Surós, Odran Sourdeval, Claudia Acquistapace, Holger Baars, Cintia Carbajal Henken, Christa Genz, Jonas Hesemann, Cristofer Jimenez, Marcel König, Jan Kretzschmar, Nils Madenach, Catrin I. Meyer, Roland Schrödner, Patric Seifert, Fabian Senf, Matthias Brueck, Guido Cioni, Jan Frederik Engels, Kerstin Fieg, Ksenia Gorges, Rieke Heinze, Pavan Kumar Siligam, Ulrike Burkhardt, Susanne Crewell, Corinna Hoose, Axel Seifert, Ina Tegen, and Johannes Quaas
Atmos. Chem. Phys., 20, 5657–5678, https://doi.org/10.5194/acp-20-5657-2020, https://doi.org/10.5194/acp-20-5657-2020, 2020
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The impact of anthropogenic aerosols on clouds is a key uncertainty in climate change. This study analyses large-domain simulations with a new high-resolution model to investigate the differences in clouds between 1985 and 2013 comparing multiple observational datasets. The differences in aerosol and in cloud droplet concentrations are clearly detectable. For other quantities, the detection and attribution proved difficult, despite a substantial impact on the Earth's energy budget.
Shuqi Yan, Bin Zhu, Yong Huang, Jun Zhu, Hanqing Kang, Chunsong Lu, and Tong Zhu
Atmos. Chem. Phys., 20, 5559–5572, https://doi.org/10.5194/acp-20-5559-2020, https://doi.org/10.5194/acp-20-5559-2020, 2020
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The development of China has caused rapid urbanization and severe air pollution. However, the extent of their individual and combined effects on fog is not well understood. Through numerical experiments, we find that urbanization suppresses low-level fog but probably promotes upper-level fog. Additional aerosols generally promote fog. Urbanization affects fog to a much larger extent than aerosols do.
Kalli Furtado, Paul Field, Yali Luo, Tianjun Zhou, and Adrian Hill
Atmos. Chem. Phys., 20, 5093–5110, https://doi.org/10.5194/acp-20-5093-2020, https://doi.org/10.5194/acp-20-5093-2020, 2020
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By combining observations with simulations from a weather forecasting model, new insights are obtained into extreme rainfall processes. We use a model which includes the effects of aerosols on clouds in a fully consistent way. This greater complexity improves realism but raises the computational cost. We address the cost–benefit relationship of this and show that cloud–aerosol interactions have important, measurable benefits for simulating climate extremes.
Philipp J. Griewank, Thijs Heus, Neil P. Lareau, and Roel A. J. Neggers
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-338, https://doi.org/10.5194/acp-2020-338, 2020
Revised manuscript accepted for ACP
Zak Kipling, Laurent Labbouz, and Philip Stier
Atmos. Chem. Phys., 20, 4445–4460, https://doi.org/10.5194/acp-20-4445-2020, https://doi.org/10.5194/acp-20-4445-2020, 2020
Guy Dagan, Philip Stier, Matthew Christensen, Guido Cioni, Daniel Klocke, and Axel Seifert
Atmos. Chem. Phys., 20, 4523–4544, https://doi.org/10.5194/acp-20-4523-2020, https://doi.org/10.5194/acp-20-4523-2020, 2020
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In order to better understand the physical processes behind aerosol effects on the atmospheric energy budget, we analyse numerical simulations of tropical cloud systems. Two sets of simulations, at different dates during the NARVAL 2 field campaign, are simulated with different dominant cloud modes. Our results demonstrate that under different environmental conditions, the response of the atmospheric energy budget to aerosol perturbation could be different.
Daniel T. McCoy, Paul Field, Hamish Gordon, Gregory S. Elsaesser, and Daniel P. Grosvenor
Atmos. Chem. Phys., 20, 4085–4103, https://doi.org/10.5194/acp-20-4085-2020, https://doi.org/10.5194/acp-20-4085-2020, 2020
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Incomplete understanding of how aerosol affects clouds degrades our ability to predict future climate. In particular, it is unclear how aerosol affects the lifetime of clouds. Does it increase or decrease it? This confusion is partially because causality flows from aerosol to clouds and clouds to aerosol, and it is hard to tell what is happening in observations. Here, we use simulations to tell us about how clouds affect aerosol and use this to interpret observations, showing increased lifetime.
Jihoon Shin and Sungsu Park
Atmos. Chem. Phys., 20, 3041–3060, https://doi.org/10.5194/acp-20-3041-2020, https://doi.org/10.5194/acp-20-3041-2020, 2020
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In this work, we show that the previously identified strong spatiotemporal correlation relationship between the low-level cloud amount (LCA) and its large-scale environmental proxy, the estimated low-level cloud fraction (ELF), holds for various low-level cloud types over the globe rather than for a specific cloud type. However, we also identify several weaknesses of the ELF and suggest a potential pathway to further improve it in the future as a global proxy for LCA.
Eun-Hyuk Baek, Joo-Hong Kim, Sungsu Park, Baek-Min Kim, and Jee-Hoon Jeong
Atmos. Chem. Phys., 20, 2953–2966, https://doi.org/10.5194/acp-20-2953-2020, https://doi.org/10.5194/acp-20-2953-2020, 2020
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Many general circulation models (GCMs) have difficulty simulating Arctic clouds and climate, causing substantial inter-model spread. By analyzing various model simulation results, we found that the association between the enhanced poleward transports of heat and moisture and an increase in liquid clouds over the Arctic is evident in GCMs. Our study demonstrates that enhanced poleward heat and moisture transport in a model can improve simulations of Arctic clouds and climate.
Christopher Moseley, Ieda Pscheidt, Guido Cioni, and Rieke Heinze
Atmos. Chem. Phys., 20, 2891–2910, https://doi.org/10.5194/acp-20-2891-2020, https://doi.org/10.5194/acp-20-2891-2020, 2020
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In this paper, we analyze a climate simulation over Germany of a continuous period in May and June 2016, with resolutions of 600 m, 300 m, and 150 m. This resolution is high enough that strong convective rain events like rain showers and thunderstorms are sufficiently resolved. Our analysis shows that the tendency of convection to organize is improved at higher resolution and that the highest-resolution simulation is closest to weather radar data.
Xabier Pedruzo-Bagazgoitia, Stephan R. de Roode, Bianca Adler, Karmen Babić, Cheikh Dione, Norbert Kalthoff, Fabienne Lohou, Marie Lothon, and Jordi Vilà-Guerau de Arellano
Atmos. Chem. Phys., 20, 2735–2754, https://doi.org/10.5194/acp-20-2735-2020, https://doi.org/10.5194/acp-20-2735-2020, 2020
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Using a high-resolution model we simulate the transition from night to day clouds on southern West Africa using observations from the DACCIWA project. We find that the radiative effects of clouds help mantain a thick cloud layer in the night, while the mixing of cloud air with air above during the day, aided by moisture and heat fluxes at the surface, thins this layer and promotes its transition to other clouds. The effect of changing wind with height accelerates the transition.
Hsiang-He Lee and Chien Wang
Atmos. Chem. Phys., 20, 2533–2548, https://doi.org/10.5194/acp-20-2533-2020, https://doi.org/10.5194/acp-20-2533-2020, 2020
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This study has demonstrated how biomass burning activities could affect convective systems in the Maritime Continent by altering cloud microphysics and dynamics. Because near-surface heating from the absorption of fire aerosols can enhance the prevailing wind from the ocean during the daytime and further weaken land breeze and surface convergence at nighttime, it changes the diurnal rainfall intensity, especially those low-level wind patterns associated with the weak westerly (WW) regime.
Theodore Weber, Austin Corotan, Brian Hutchinson, Ben Kravitz, and Robert Link
Atmos. Chem. Phys., 20, 2303–2317, https://doi.org/10.5194/acp-20-2303-2020, https://doi.org/10.5194/acp-20-2303-2020, 2020
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Climate model emulators can save computer time but are less accurate than full climate models. We use neural networks to build emulators of precipitation, trained on existing climate model runs. By doing so, we can capture nonlinearities and how the past state of a model (to some degree) shapes the future state. Our emulator outperforms a persistence forecast of precipitation.
Constanze Wellmann, Andrew I. Barrett, Jill S. Johnson, Michael Kunz, Bernhard Vogel, Ken S. Carslaw, and Corinna Hoose
Atmos. Chem. Phys., 20, 2201–2219, https://doi.org/10.5194/acp-20-2201-2020, https://doi.org/10.5194/acp-20-2201-2020, 2020
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Severe hailstorms may cause damage to buildings and crops. Thus, the forecast of numerical weather prediction (NWP) models should be as reliable as possible.
Using statistical emulation, we identify those model input parameters describing environmental conditions and cloud microphysics which lead to large uncertainties in the prediction of deep convection. We find that the impact of the input parameters on the uncertainty depends on the considered output variable.
Hamish Gordon, Paul R. Field, Steven J. Abel, Paul Barrett, Keith Bower, Ian Crawford, Zhiqiang Cui, Daniel P. Grosvenor, Adrian A. Hill, Jonathan Taylor, Jonathan Wilkinson, Huihui Wu, and Ken S. Carslaw
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-68, https://doi.org/10.5194/acp-2020-68, 2020
Revised manuscript accepted for ACP
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The Met Office's Unified Model is widely used both for weather forecasting and climate prediction. We present the first version of the model in which both aerosol and cloud particle mass and number concentrations are allowed to evolve separately and independently, which is important for studying how aerosols affect weather and climate. We test the model against aircraft observations near Ascension Island in the Atlantic, focusing on how aerosols can
activateto become cloud droplets.
Giulia Saponaro, Moa K. Sporre, David Neubauer, Harri Kokkola, Pekka Kolmonen, Larisa Sogacheva, Antti Arola, Gerrit de Leeuw, Inger H. H. Karset, Ari Laaksonen, and Ulrike Lohmann
Atmos. Chem. Phys., 20, 1607–1626, https://doi.org/10.5194/acp-20-1607-2020, https://doi.org/10.5194/acp-20-1607-2020, 2020
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The understanding of cloud processes is based on the quality of the representation of cloud properties. We compared cloud parameters from three models with satellite observations. We report on the performance of each data source, highlighting strengths and deficiencies, which should be considered when deriving the effect of aerosols on cloud properties.
Pascal Polonik, Christoph Knote, Tobias Zinner, Florian Ewald, Tobias Kölling, Bernhard Mayer, Meinrat O. Andreae, Tina Jurkat-Witschas, Thomas Klimach, Christoph Mahnke, Sergej Molleker, Christopher Pöhlker, Mira L. Pöhlker, Ulrich Pöschl, Daniel Rosenfeld, Christiane Voigt, Ralf Weigel, and Manfred Wendisch
Atmos. Chem. Phys., 20, 1591–1605, https://doi.org/10.5194/acp-20-1591-2020, https://doi.org/10.5194/acp-20-1591-2020, 2020
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A realistic representation of cloud–aerosol interactions is central to accurate climate projections. Here we combine observations collected during the ACRIDICON-CHUVA campaign with chemistry-transport simulations to evaluate the model’s ability to represent the indirect effects of biomass burning aerosol on cloud microphysics. We find an upper limit for the model sensitivity on cloud condensation nuclei concentrations well below the levels reached during the burning season in the Amazon Basin.
Ross J. Herbert, Nicolas Bellouin, Ellie J. Highwood, and Adrian A. Hill
Atmos. Chem. Phys., 20, 1317–1340, https://doi.org/10.5194/acp-20-1317-2020, https://doi.org/10.5194/acp-20-1317-2020, 2020
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Marine stratocumulus clouds cover large regions of the ocean and act to cool the climate. We use high-resolution simulations to understand how observed layers of elevated smoke impact stratocumulus via the solar heating that occurs within the smoke layer. We find that the cloud response is strongest for thin, dense layers of smoke close to the cloud. The response rapidly weakens as the cloud-to-smoke gap increases. Generally, the smoke acts to thicken clouds and enhance their cooling effect.
Georgia Sotiropoulou, Sylvia Sullivan, Julien Savre, Gary Lloyd, Thomas Lachlan-Cope, Annica M. L. Ekman, and Athanasios Nenes
Atmos. Chem. Phys., 20, 1301–1316, https://doi.org/10.5194/acp-20-1301-2020, https://doi.org/10.5194/acp-20-1301-2020, 2020
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Arctic clouds constitute a large source of uncertainty in predictions of future climate. Observations indicate that the number concentration of cloud ice crystals exceeds the concentration of aerosols that can act as ice-nucleating particles (INPs). We show that ice multiplication due to mechanical break-up upon collisions between the few primary ice crystals (formed from INPs) can explain the discrepancy. Including a description of the process in climate models can improve cloud representation.
Jaakko Ahola, Hannele Korhonen, Juha Tonttila, Sami Romakkaniemi, Harri Kokkola, and Tomi Raatikainen
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-1182, https://doi.org/10.5194/acp-2019-1182, 2020
Revised manuscript accepted for ACP
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In this study, we present an improved cloud model that reproduces the behaviour of mixed-phase clouds containing liquid droplets and ice crystals in more detail than before. This model is a convenient computational tool that enables studying phenomena that cannot be fitted into a laboratory. These clouds have a significant role in climate but they are not yet properly understood. Here, we show the advantages of the new model in a case study focusing on Arctic mixed-phase clouds.
Philipp Reutter, Patrick Neis, Susanne Rohs, and Bastien Sauvage
Atmos. Chem. Phys., 20, 787–804, https://doi.org/10.5194/acp-20-787-2020, https://doi.org/10.5194/acp-20-787-2020, 2020
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This study compares in situ measurements of temperature and humidity in the upper troposphere and lower stratosphere with reanalysis data from the ECMWF ERA-Interim data set. It is shown that temperature compares well between both data sets. However, extreme values of relative humidity with respect to ice (RHi) are missing in ERA-Interim, and hence the number and size of ice supersaturated regions differ strongly between both data sets.
Kathryn Fowler, Paul Connolly, and David Topping
Atmos. Chem. Phys., 20, 683–698, https://doi.org/10.5194/acp-20-683-2020, https://doi.org/10.5194/acp-20-683-2020, 2020
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Observations of low–temperature cirrus clouds have found unexpectedly low ice crystal numbers and high supersaturations, suggesting an incomplete understanding of the freezing mechanisms under these conditions. The existence of viscous organic aerosol has offered alternative ice nucleation pathways, which have been observed in laboratory studies. We have developed the first cloud parcel model to investigate the effect of viscosity on ice nucleation.
Edward Gryspeerdt, Johannes Mülmenstädt, Andrew Gettelman, Florent F. Malavelle, Hugh Morrison, David Neubauer, Daniel G. Partridge, Philip Stier, Toshihiko Takemura, Hailong Wang, Minghuai Wang, and Kai Zhang
Atmos. Chem. Phys., 20, 613–623, https://doi.org/10.5194/acp-20-613-2020, https://doi.org/10.5194/acp-20-613-2020, 2020
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Aerosol radiative forcing is a key uncertainty in our understanding of the human forcing of the climate, with much of this uncertainty coming from aerosol impacts on clouds. Observation-based estimates of the radiative forcing are typically smaller than those from global models, but it is not clear if they are more reliable. This work shows how the forcing components in global climate models can be identified, highlighting similarities between the two methods and areas for future investigation.
Vera Schemann and Kerstin Ebell
Atmos. Chem. Phys., 20, 475–485, https://doi.org/10.5194/acp-20-475-2020, https://doi.org/10.5194/acp-20-475-2020, 2020
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In this study, we apply a high-resolution model at the observation supersite Ny-Ålesund (Svalbard) to evaluate mixed-phase clouds. These clouds are a potential driver for the stronger warming in the Arctic compared to the global mean, but their representation in climate models is typically rather poor due to complex microphysical processes. The presented combination of high-resolution modeling and long-term state-of-the-art observations can lead to improved process understanding.
Vasileios Barlakas, Hartwig Deneke, and Andreas Macke
Atmos. Chem. Phys., 20, 303–322, https://doi.org/10.5194/acp-20-303-2020, https://doi.org/10.5194/acp-20-303-2020, 2020
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By means of a high-resolution model, we demonstrated the suitability of the sub-adiabatic cloud model to serve as a conceptual tool for the evaluation of the representation of low-level clouds and to capture the relevant properties that determine the shortwave cloud radiative effect. We also highlighted the differences in cloud radiative effect resulting from different cloud microphysics schemes used in models and pointed to the need to better account for prognostic droplet number concentration.
Zhen Liu, Yi Ming, Chun Zhao, Ngar Cheung Lau, Jianping Guo, Massimo Bollasina, and Steve Hung Lam Yim
Atmos. Chem. Phys., 20, 223–241, https://doi.org/10.5194/acp-20-223-2020, https://doi.org/10.5194/acp-20-223-2020, 2020
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OH and HO2 radicals are important trace constituents of the atmosphere that are closely coupled via several types of reaction. This paper describes a new laboratory method to simultaneously determine OH kinetics and HO2 yields from chemical processes. The instrument also provides some time resolution on HO2 detection allowing one to separate HO2 produced from the target reaction from HO2 arising from secondary chemistry. Examples of applications are presented.
Joelle Dionne, Knut von Salzen, Jason Cole, Rashed Mahmood, W. Richard Leaitch, Glen Lesins, Ian Folkins, and Rachel Y.-W. Chang
Atmos. Chem. Phys., 20, 29–43, https://doi.org/10.5194/acp-20-29-2020, https://doi.org/10.5194/acp-20-29-2020, 2020
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Low clouds persist in the summer Arctic, with important consequences for the radiation budget. We found that the ability of precipitation parameterizations to reproduce observed cloud properties was more variable than their ability to represent radiative effects. Our results show that cloud properties and their parameterizations affect the radiative effects of clouds.
Johannes Mülmenstädt, Edward Gryspeerdt, Marc Salzmann, Po-Lun Ma, Sudhakar Dipu, and Johannes Quaas
Atmos. Chem. Phys., 19, 15415–15429, https://doi.org/10.5194/acp-19-15415-2019, https://doi.org/10.5194/acp-19-15415-2019, 2019
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The effect of aerosol–cloud interactions (ACIs) on Earth's energy budget continues to be highly uncertain. We decompose the effective radiative forcing by ACIs (ERFaci) into the instantaneous forcing due to anthropogenic increases in the number of cloud droplets and fast responses of cloud properties to the droplet number perturbation in the ECHAM–HAMMOZ aerosol–climate model. This decomposition maps onto the IPCC's Fifth Assessment Report analysis of ERFaci more directly than previous work.
George Spill, Philip Stier, Paul R. Field, and Guy Dagan
Atmos. Chem. Phys., 19, 13507–13517, https://doi.org/10.5194/acp-19-13507-2019, https://doi.org/10.5194/acp-19-13507-2019, 2019
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Shallow convective clouds are among the most common and least understood clouds in the atmosphere. Here we present simulations of realistic, shallow cloud fields in a large domain, in contrast to typical idealised simulations, and find that in these simulations the response to aerosol perturbations is different.
Sisi Chen, Lulin Xue, and Man-Kong Yau
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-886, https://doi.org/10.5194/acp-2019-886, 2019
Revised manuscript accepted for ACP
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A novel approach is used to study cloud-aerosol-turbulence interactions in early cloud development. A parcel model and a direct numerical simulation are combined to seamlessly model the evolution of a rising air parcel. Aerosol activation, droplet condensation and collision, and droplet-turbulence interactions are accurately resolved.
Compared to pure water droplets, aerosol-embedded droplets quickly form large particles and initiate efficient collisional growth with the help of turbulence.
Øivind Hodnebrog, Gunnar Myhre, Bjørn H. Samset, Kari Alterskjær, Timothy Andrews, Olivier Boucher, Gregory Faluvegi, Dagmar Fläschner, Piers M. Forster, Matthew Kasoar, Alf Kirkevåg, Jean-Francois Lamarque, Dirk Olivié, Thomas B. Richardson, Dilshad Shawki, Drew Shindell, Keith P. Shine, Philip Stier, Toshihiko Takemura, Apostolos Voulgarakis, and Duncan Watson-Parris
Atmos. Chem. Phys., 19, 12887–12899, https://doi.org/10.5194/acp-19-12887-2019, https://doi.org/10.5194/acp-19-12887-2019, 2019
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Different greenhouse gases (e.g. CO2) and aerosols (e.g. black carbon) impact the Earth’s water cycle differently. Here we investigate how various gases and particles impact atmospheric water vapour and its lifetime, i.e., the average number of days that water vapour stays in the atmosphere after evaporation and before precipitation. We find that this lifetime could increase substantially by the end of this century, indicating that important changes in precipitation patterns are excepted.
Keith M. Hines, David H. Bromwich, Sheng-Hung Wang, Israel Silber, Johannes Verlinde, and Dan Lubin
Atmos. Chem. Phys., 19, 12431–12454, https://doi.org/10.5194/acp-19-12431-2019, https://doi.org/10.5194/acp-19-12431-2019, 2019
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We explore how well clouds are represented in numerical weather prediction over Antarctica, a very difficult environment for field programs where few studies have been conducted. Fortunately, a 2015–2017 field program for West Antarctica supplied observations. We achieve promising results with newer, more advanced cloud schemes. We need to understand the role of clouds and precipitation in the maintenance of the Antarctic ice mass to understand and predict sea level change over the 21st century.
Linda Schneider, Christian Barthlott, Corinna Hoose, and Andrew I. Barrett
Atmos. Chem. Phys., 19, 12343–12359, https://doi.org/10.5194/acp-19-12343-2019, https://doi.org/10.5194/acp-19-12343-2019, 2019
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This study addresses the relative impact of orography, soil moisture, and aerosols on precipitation over Germany in different weather regimes. We find that the impact of these perturbations is higher for weak than for strong large-scale forcing. Furthermore, aerosols and soil moisture are both of similar importance for precipitation forecasting, which indicates that their inclusion in operational ensemble forecasting should be assessed in the future.
Reuven H. Heiblum, Lital Pinto, Orit Altaratz, Guy Dagan, and Ilan Koren
Atmos. Chem. Phys., 19, 10717–10738, https://doi.org/10.5194/acp-19-10717-2019, https://doi.org/10.5194/acp-19-10717-2019, 2019
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It is useful to divide a cloud into two regions: core and margin. Three parameters used to define a core are compared: buoyancy (B), relative humidity (RH), and vertical velocity (W). Using theoretical arguments and simulations, we show that during most of a cloud's lifetime, the cores are subsets of one another: Bcore ⊆ RHcore ⊆ Wcore. Moreover, the core–shell cloud model applies to all core definitions. Our findings can serve as a benchmark in the partition the core and margin.
Reuven H. Heiblum, Lital Pinto, Orit Altaratz, Guy Dagan, and Ilan Koren
Atmos. Chem. Phys., 19, 10739–10755, https://doi.org/10.5194/acp-19-10739-2019, https://doi.org/10.5194/acp-19-10739-2019, 2019
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The effects of aerosol concentration on a cloud's partition to core and margin are examined. The main finding from Part I (i.e. Bcore ⊆ RHcore ⊆ Wcore) is seen for all aerosol concentrations. Clouds can produce positive buoyancy due to both saturated updrafts or unsaturated downdrafts; the latter are dependent on low aerosol concentrations. We show that a cloud's mass is mainly dependent on core processes (condensation), while its volume is mainly dependent on margin processes (evaporation).
Jan Kretzschmar, Marc Salzmann, Johannes Mülmenstädt, and Johannes Quaas
Atmos. Chem. Phys., 19, 10571–10589, https://doi.org/10.5194/acp-19-10571-2019, https://doi.org/10.5194/acp-19-10571-2019, 2019
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This study aims to explore Arctic cloud properties in the atmospheric circulation model ECHAM6. We compare cloud properties in the model to satellite observations using a satellite simulator and show that ECHAM6 overestimates low-level liquid-containing clouds. In sensitivity studies, we show that this bias can be related to cloud microphysics and surface fluxes.
Franziska Glassmeier, Fabian Hoffmann, Jill S. Johnson, Takanobu Yamaguchi, Ken S. Carslaw, and Graham Feingold
Atmos. Chem. Phys., 19, 10191–10203, https://doi.org/10.5194/acp-19-10191-2019, https://doi.org/10.5194/acp-19-10191-2019, 2019
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The climatic relevance of aerosol–cloud interactions depends on the sensitivity of the radiative effect of clouds to certain cloud properties. We derive the dependence of cloud fraction, cloud albedo, and the relative cloud radiative effect on the number of cloud droplets and on liquid water path from a large set of detailed simulations of stratocumulus clouds.
Gesa K. Eirund, Anna Possner, and Ulrike Lohmann
Atmos. Chem. Phys., 19, 9847–9864, https://doi.org/10.5194/acp-19-9847-2019, https://doi.org/10.5194/acp-19-9847-2019, 2019
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Low-level mixed-phase cloud (MPC) properties can be highly affected by the ambient aerosol concentration, especially in pristine environments like the Arctic. By employing high-resolution model simulations we investigate the response of a MPC over an open ocean and a sea ice surface to aerosol perturbations. While we find a strong initial sensitivity to changes in aerosol concentration in both cloud regimes, the magnitude as well as the long-term cloud response depends on the surface condition.
Samiro Khodayar and Johannes Hoerner
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-544, https://doi.org/10.5194/acp-2019-544, 2019
Revised manuscript accepted for ACP
Remo Dietlicher, David Neubauer, and Ulrike Lohmann
Atmos. Chem. Phys., 19, 9061–9080, https://doi.org/10.5194/acp-19-9061-2019, https://doi.org/10.5194/acp-19-9061-2019, 2019
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Ice crystals in clouds cover a spectrum of shapes and sizes. We show the first results of a consistent representation of the cloud ice spectrum in the climate model ECHAM6-HAM2. The simulated cloud fields are linked to their sources by new diagnostics. We find that only a small fraction of ice clouds is initiated by freezing of cloud droplets in the mixed-phase temperature regime while most ice forms at temperatures colder than −35 °C.
Patrick C. Taylor, Robyn C. Boeke, Ying Li, and David W. J. Thompson
Atmos. Chem. Phys., 19, 8759–8782, https://doi.org/10.5194/acp-19-8759-2019, https://doi.org/10.5194/acp-19-8759-2019, 2019
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Climate projections disagree more in the rapidly changing Arctic than anywhere else. The impact of a changing Arctic spans food and water security, economics, national security, etc. The representation of Arctic clouds within climate models is a critical roadblock towards improving Arctic climate projections. We explore the potential drivers of the diverse representation of the Arctic cloud annual cycle within climate models providing evidence that microphysical processes are a key driver.
Lisa Bock and Ulrike Burkhardt
Atmos. Chem. Phys., 19, 8163–8174, https://doi.org/10.5194/acp-19-8163-2019, https://doi.org/10.5194/acp-19-8163-2019, 2019
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The climate impact of air traffic is to a large degree caused by changes in cirrus cloudiness resulting from the formation of contrails. We use an atmospheric climate model with a contrail cirrus parameterization to investigate the climate impact of contrail cirrus for the year 2050. The strong increase in contrail cirrus radiative forcing due to the projected increase in air traffic volume cannot be compensated for by the reduction of soot emissions and by improvements in propulsion efficiency.
Cited articles
Adler, G., Koop, T., Haspel, C., Taraniuk, I., Moise, T., Koren, I.,
Heiblum, R. H., and Rudich, Y.: Formation of highly porous aerosol particles
by atmospheric freeze-drying in ice clouds, P. Natl. Acad. Sci. USA, 110,
20414–20419, https://doi.org/10.1073/pnas.1317209110, 2013.
Amaya, A. J. and Wyslouzil, B. E.: Ice nucleation rates near ∼225 K,
J. Chem. Phys., 148, 084501, https://doi.org/10.1063/1.5019362, 2018.
Amaya, A. J., Pathak, H., Modak, V. P., Laksmono, H., Loh, N. D., Sellberg,
J. A., Sierra, R. G., McQueen, T. A., Hayes, M. J., Williams, G. J.,
Messerschmidt M., Boutet, S., Bogan, M. J., Nilsson, A., Stan, C. A., and
Wyslouzil, B. E.: How cubic can ice be?, J. Phys. Chem. Lett., 8,
3216–3222, https://doi.org/10.1021/acs.jpclett.7b01142, 2017.
Angell, C. A.: Formation of glasses from liquids and biopolymers, Science,
267, 1924–1935, https://doi.org/10.1126/science.267.5206.1924, 1995.
Bartell, L. S. and Chushak, Y. G.: Water in Confining Geometries, edited by:
Buch, V. and Devlin, J. P., Spinger-Verlag, Berlin, 399–424, 2003.
Blander, M. and Katz, J. L.: Bubble nucleation in liquids, AIChe J., 21,
833–848, https://doi.org/10.1002/aic.690210502, 1975.
Campbell, J. M. and Christenson, H. K.: Nucleation- and emergence-limited
growth of ice from pores, Phys. Rev. Lett., 120, 165701,
https://doi.org/10.1103/PhysRevLett.120.165701, 2018.
Campbell, J. M., Meldrum, F. C., and Christenson, H. K.: Observing the
formation of ice and organic crystals in active sites, P. Natl. Acad. Sci.
USA, 114, 810–815, https://doi.org/10.1073/pnas.1617717114, 2017.
Christenson, H. K.: Confinement effects on freezing and melting, J.
Phys.-Condens. Mat., 13, R95–R133, https://doi.org/10.1088/0953-8984/13/11/201, 2001.
Christenson, H. K.: Two-step crystal nucleation via capillary condensation,
Crystengcomm, 15, 2030–2039, https://doi.org/10.1039/c3ce26887j, 2013.
David, R. O., Marcolli, C., Fahrni, J., Qiu, Y., Sirkin, Y. A. P., Molinero,
V., Mahrt, F., Brühwiler, D., Lohmann, U., and Kanji, Z. A.: Pore
condensation and freezing is responsible for ice formation below water
saturation for porous particles, P. Natl. Acad. Sci. USA, 116, 8184–8189,
https://doi.org/10.1073/PNAS.1813647116, 2019a.
David, R. O., Fahrni, J., Marcolli, C., Mahrt, F., Brühwiler, D., and Kanji, Z. A.: The Role of Contact Angle and Pore Width on Pore Condensation and Freezing, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-1019, in review, 2019b.
Dowell, L. G. and Rinfret, A. P.: Low-temperature forms of ice as studied by
X-ray diffraction, Nature, 188, 1144–1148, https://doi.org/10.1038/1881144a0, 1960.
Först, P., Werner, F, and Delgado, A.: The viscosity of water at high
pressures – especially at subzero degrees centigrade, Rheol. Acta, 39,
566–573, https://doi.org/10.1007/s003970000114, 2000.
Fukuta, N.: Activation of atmospheric particles as ice nuclei in cold and
dry air, J. Atmos. Sci., 23, 741–750,
https://doi.org/10.1175/1520-0469(1966)023<0741:AOAPAI>2.0.CO;2,
1966.
Hare, D. E. and Sorensen, C. M.: The density of supercooled water. II. Bulk
samples cooled to the homogeneous nucleation limit, J. Chem. Phys., 87,
4840, https://doi.org/10.1063/1.453710, 1987.
Hartmann, D. L., Gasparini, B., Berry, S. E., and Brossey, P. N.: The life
cycle and net radiative effect of tropical anvil clouds, J. Adv. Model.
Earth Sy., 10, 3012–3029, https://doi.org/10.1029/2018MS001484, 2018.
Henderson, S. J. and Speedy, R. J.: Melting temperature of ice at positive
and negative pressures, J. Phys. Chem., 91, 3069–3072,
https://doi.org/10.1021/j100295a085, 1987.
Holten, V. and Anisimov, M. A.: Entropy-driven liquid-liquid separation in
supercooled water, Sci. Rep., 2, 713, https://doi.org/10.1038/srep00713, 2012.
Hrubý, J., Vinš, V., Mareš, R., Hykl, J., and Kalovaì, J.:
Surface tension of supercooled water: no inflection point down to −25∘ C, J. Phys. Chem. Lett., 5, 425–428, https://doi.org/10.1021/jz402571a,
2014.
Huang, J. and Bartell, L. S.: Kinetics of homogeneous nucleation in the
freezing of large water clusters, J. Phys. Chem., 99, 3924–3931,
https://doi.org/10.1021/j100012a010, 1995.
Hudait, A. and Molinero, V.: What determines the ice polymorph in clouds?,
J. Am. Chem. Soc., 138, 8958–8967, https://doi.org/10.1021/jacs.6b05227, 2016.
Ickes, L., Welti, A., Hoose, C., and Lohmann, U.: Classical nucleation
theory of homogeneous freezing of water: thermodynamic and kinetic
parameters, Phys. Chem. Chem. Phys., 17, 5514–5537, https://doi.org/10.1039/c4cp04184d,
2015.
Jähnert, S., Chávez, F. V., Schaumann, G. E., Schreiber, A.,
Schönhoff, M., and Findenegg, G. H.: Melting and freezing of water in
cylindrical silica nanopores, Phys. Chem. Chem. Phys., 10, 6039–6051,
https://doi.org/10.1039/b809438c, 2008.
Jenniskens, P. and Blake, D. F.: Crystallization of amorphous water ice in
the solar system, Astrophys. J., 473, 1104–1113, https://doi.org/10.1086/178220, 1996.
Kalová, J. and Mareš, R.: Size dependences of surface tension, Int.
J. Thermophys., 36, 2862–2868, https://doi.org/10.1007/s10765-015-1851-1, 2015.
Kanno, H., Speedy, R. J., and Angell, C. A.: Supercooling of water to
−92∘ C under pressure, Science, 189, 880–881,
https://doi.org/10.1126/science.189.4206.880, 1975.
Kärcher, B.: Cirrus clouds and their response to anthropogenic
activities, Curr. Clim. Change Rep., 3, 45–57,
https://doi.org/10.1007/s40641-017-0060-3, 2017.
Kärcher, B. and Lohmann, U.: A parameterization of cirrus cloud
formation: Heterogeneous freezing, J. Geophys. Res.-Atmos., 108, 4402,
https://doi.org/10.1029/2002JD003220, 2003.
Kastelowitz, N. and Molinero, V.: Ice-liquid oscillations in nanoconfined
water, ACS Nano, 12, 8234–8239, https://doi.org/10.1021/acsnano.8b03403, 2018.
Kaufmann, L., Marcolli, C., Luo, B., and Peter, T.: Refreeze experiments with water droplets containing different types of ice nuclei interpreted by classical nucleation theory, Atmos. Chem. Phys., 17, 3525–3552, https://doi.org/10.5194/acp-17-3525-2017, 2017.
Kienast-Sjögren, E., Rolf, C., Seifert, P., Krieger, U. K., Luo, B. P., Krämer, M., and Peter, T.: Climatological and radiative properties of midlatitude cirrus clouds derived by automatic evaluation of lidar measurements, Atmos. Chem. Phys., 16, 7605–7621, https://doi.org/10.5194/acp-16-7605-2016, 2016.
Kim, S., Kim, D., Kim, J., An., S., and Jhe, W.: Direct evidence for
curvature-dependent surface tension in capillary condensation: Kelvin
equation at molecular scale, Phys. Rev., 8, 041046,
https://doi.org/10.1103/PhysRevX.8.041046, 2018.
Kimmel, G. A., Xu, Y., Brumberg, A., Petrik, N. G., Smith, R. S., and Kay,
B. D.: Homogeneous ice nucleation rates and crystallization kinetics in
transiently-heated, supercooled water films from 188 K to 230 K, J. Chem.
Phys., 150, 204509, https://doi.org/10.1063/1.5100147, 2019.
Kiselev, A., Bachmann, F., Pedevilla, P., Cox, S. J., Michaelides, A.,
Gerthsen, D., and Leisner, T.: Active sites in heterogeneous ice nucleation
– the example of K-rich feldspars, Science, 80, 367–371,
https://doi.org/10.1126/science.aai8034, 2016.
Koop, T.: Crystals creeping out of cracks, P. Natl. Acad. Sci. USA, 114,
797–799, https://doi.org/10.1073/pnas.1620084114, 2017.
Koop, T. and Murray, B. J.: A physically constrained classical description
of the homogeneous nucleation of ice in water, J. Chem. Phys., 145, 211915,
https://doi.org/10.1063/1.4962355, 2016.
Koop, T., Luo, B. P., Tsias, A., and Peter, T.: Water activity as the
determinant for homogeneous ice nucleation in aqueous solutions, Nature,
406, 611–614, https://doi.org/10.1038/35020537, 2000.
Kovács, T. and Christenson, H. K.: A two-step mechanism for crystal
nucleation without supersaturation, Faraday Discuss., 159, 123–138,
https://doi.org/10.1039/c2fd20053h, 2012.
Kovács, T., Meldrum, F. C., and Christenson, H. K.: Crystal nucleation
without supersaturation, J. Phys. Chem. Lett., 3, 1602–1606,
https://doi.org/10.1021/jz300450g, 2012.
Krämer, M., Rolf, C., Luebke, A., Afchine, A., Spelten, N., Costa, A., Meyer, J., Zöger, M., Smith, J., Herman, R. L., Buchholz, B., Ebert, V., Baumgardner, D., Borrmann, S., Klingebiel, M., and Avallone, L.: A microphysics guide to cirrus clouds – Part 1: Cirrus types, Atmos. Chem. Phys., 16, 3463–3483, https://doi.org/10.5194/acp-16-3463-2016, 2016.
Kuebbeler, M., Lohmann, U., Hendricks, J., and Kärcher, B.: Dust ice nuclei effects on cirrus clouds, Atmos. Chem. Phys., 14, 3027–3046, https://doi.org/10.5194/acp-14-3027-2014, 2014.
Kuhs, W. F., Sippel, C., Falenty, A., and Hansen, T. C.: Extent and
relevance of stacking disorder in “ice Ic”, P. Natl. Acad. Sci. USA,
109, 21259, https://doi.org/10.1073/pnas.1210331110, 2012.
Laksmono, H., McQueen, T. A., Sellberg, J. A., Loh, N. D., Huang, C.,
Schlesinger, D., Sierra, R. G., Hampton, C. Y., Nordlund, D., Beye, M.,
Martin, A. V., Barty, A., Seibert, M. M., Messerschmidt, M., Williams, G.
J., Boutet, S., Amann-Winkel, K., Loerting, T., Pettersson, L. G. M., Bogan,
M. J., and Nilsson, A.: Anomalous behavior of the homogeneous ice nucleation
rate in no-man's land, J. Phys. Chem. Lett., 6, 2826–2832,
https://doi.org/10.1021/acs.jpclett.5b01164, 2015.
Lohmann, U., Spichtinger, P., Jess, S., Peter, T., and Smit, H. G. J.:
Cirrus cloud formation and ice supersaturated regions in a global climate
model, Environ. Res. Lett., 3, 045022, https://doi.org/10.1088/1748-9326/3/4/045022,
2008.
Lohmann, U., Lüönd, F., and Mahrt, F.: An introduction to clouds:
From the microscale to climate, Cambridge University Press, Cambridge,
https://doi.org/10.1017/CBO9781139087513, 2016.
Mahrt, F., Marcolli, C., David, R. O., Grönquist, P., Barthazy Meier, E. J., Lohmann, U., and Kanji, Z. A.: Ice nucleation abilities of soot particles determined with the Horizontal Ice Nucleation Chamber, Atmos. Chem. Phys., 18, 13363–13392, https://doi.org/10.5194/acp-18-13363-2018, 2018.
Mahrt, F., Kilchhofer, K., Marcolli, C., Grönquist, P., David, R. O.,
Rösch, M., Lohmann, U., and Kanji, Z. A.: The impact of cloud processing
on the ice nucleation abilities of soot particles at cirrus temperatures, J.
Geophys. Res.-Atmos., 125, e2019JD030922, https://doi.org/10.1029/2019JD030922, 2020.
Malek, S. M. A., Poole, P. H., and Saika-Voivod, I.: Surface tension of
supercooled water nanodroplets from computer simulations, J. Chem. Phys.,
150, 234507, https://doi.org/10.1063/1.5096990, 2019.
Manka, A., Pathak, H., Tanimura, S., Wölk, J., Strey, R., and Wyslouzil,
B. E.: Freezing water in no-man's land, Phys. Chem. Chem. Phys., 14,
4505–4516, https://doi.org/10.1039/c2cp23116f, 2012.
Marcolli, C.: Deposition nucleation viewed as homogeneous or immersion freezing in pores and cavities, Atmos. Chem. Phys., 14, 2071–2104, https://doi.org/10.5194/acp-14-2071-2014, 2014.
Marcolli, C.: Pre-activation of aerosol particles by ice preserved in pores, Atmos. Chem. Phys., 17, 1595–1622, https://doi.org/10.5194/acp-17-1595-2017, 2017a.
Marcolli, C.: Ice nucleation triggered by negative pressure, Sci. Rep., 7,
16634, https://doi.org/10.1038/s41598-017-16787-3, 2017b.
Matus, A. V. and l'Ecuyer, T. S.: The role of cloud phase in Earth's
radiation budget, J. Geophys. Res.-Atmos., 122, 2559–2578,
https://doi.org/10.1002/2016JD025951, 2017.
Mishima, O.: Relationship between melting and amorphization of ice, Nature,
384, 546–549, https://doi.org/10.1038/384546a0, 1996.
Mishima, O.: Volume of supercooled water under pressure and the
liquid-liquid critical point, J. Chem. Phys., 133, 144503,
https://doi.org/10.1063/1.3487999, 2010.
Morishige, K: Influence of pore wall hydrophobicity on freezing and melting
of confined water, J. Phys. Chem. C, 122, 5013–5019,
https://doi.org/10.1021/acs.jpcc.8b00538, 2018.
Murphy, D. M. and Koop, T.: Review of the vapour pressures of ice and
supercooled water for atmospheric applications, Q. J. Roy. Meteor. Soc.,
131, 1539–1565, https://doi.org/10.1256/qj.04.94, 2005.
Murray, B. J., Broadley, S. L., Wilson, T. W., Bull, S. J., Wills, R. H.,
Christenson, H. K., and Murray, E. J.: Kinetics of the homogeneous freezing
of water, Phys. Chem. Chem. Phys., 12, 10380–10387, https://doi.org/10.1039/c003297b,
2010.
Nĕmec, T.: Estimation of ice-water interfacial energy based on
pressure-dependent formulation of classical nucleation theory, Chem. Phys.
Lett., 583, 64–68, https://doi.org/10.1016/j.cplett.2013.07.085, 2013.
Nichman, L., Wolf, M., Davidovits, P., Onasch, T. B., Zhang, Y., Worsnop, D. R., Bhandari, J., Mazzoleni, C., and Cziczo, D. J.: Laboratory study of the heterogeneous ice nucleation on black-carbon-containing aerosol, Atmos. Chem. Phys., 19, 12175–12194, https://doi.org/10.5194/acp-19-12175-2019, 2019.
Pach, E. and Verdaguer, A.: Pores dominate ice nucleation on feldspars, J.
Phys. Chem., 123, 20998–21004, https://doi.org/10.1021/acs.jpcc.9b05845, 2019.
Page, A. J. and Sear, R. P.: Heterogeneous nucleation in and out of pores,
Phys. Rev. Lett., 97, 065701, https://doi.org/10.1103/PhysRevLett.97.065701, 2006.
Pallares, G., Gonzalez, M. A., Abascal, J. L. F., Valeriani, C., and Caupin,
F.: Equation of state for water and its line of density maxima down to
−120 MPa, Phys. Chem. Chem. Phys. 18, 5896–5900, https://doi.org/10.1039/c5cp07580g,
2016.
Prielmeier, F. X., Lang, E. W., Speedy, R. J., and Lüdemann, H.-D.: The
pressure dependence of self diffusion in supercooled light and heavy water,
Ber. Bunsenges. Phys. Chem., 92, 1111–1117, https://doi.org/10.1002/bbpc.198800282,
1988.
Pruppacher, H. R. and Klett, J. D.: Microphysics of clouds and
precipitation, Kluwer, Dordrecht, the Netherlands, 1997.
Riechers, B., Wittbracht, F., Hütten, A., and Koop, T.: The homogeneous
ice nucleation rate of water droplets produced in a microfluidic device and
the role of temperature uncertainty, Phys. Chem. Chem. Phys., 15,
5873–5887, https://doi.org/10.1039/c3cp42437e, 2013.
Roedder, E.: Metastable superheated ice in liquid-water inclusions under
high negative pressure, Science, 155, 1413–1417,
https://doi.org/10.1126/science.155.3768.1413, 1967.
Schmelzer, J. W. P., Gutzow, I., and Schmelzer Jr., J.: Curvature-dependent
surface tension and nucleation theory, J. Colloid. Interf. Sci., 178,
657–665, https://doi.org/10.1006/jcis.1996.0163, 1996.
Schreiber, A., Ketelsen, I., and Findenegg, G. H.: Melting and freezing of
water in ordered mesoporous silica materials, Phys. Chem. Chem. Phys., 3,
1185–1195, https://doi.org/10.1039/b010086m, 2001.
Shilling, J. E., Tolbert, M. A., Toon, O. B., Jensen, E. J., Murray, B. J.,
and Bertram, A. K.: Measurements of the vapour pressure of cubic ice and
their implications for atmospheric ice clouds, Geophys. Res. Lett., 33,
L17801, https://doi.org/10.1029/2006GL026671, 2006.
Smith, R. S. and Kay, B. D.: The existence of supercooled liquid water at
150 K, Nature, 398, 788–791, 1999.
Stephens, G. L., Tsay, S.-C., Stackhouse Jr., P. W., and Flatau, P. J.: The
relevance of the microphysical and radiative properties of cirrus clouds to
climate and climatic feedback, J. Atmos. Sci., 47, 1742–1753,
https://doi.org/10.1175/1520-0469(1990)047<1742:trotma>2.0.co;2,
1990.
Umo, N. S., Wagner, R., Ullrich, R., Kiselev, A., Saathoff, H., Weidler, P. G., Cziczo, D. J., Leisner, T., and Möhler, O.: Enhanced ice nucleation activity of coal fly ash aerosol particles initiated by ice-filled pores, Atmos. Chem. Phys., 19, 8783–8800, https://doi.org/10.5194/acp-19-8783-2019, 2019.
Vinš, V., Fransen, M., Hykl, J., and Hrubý, J.: Surface tension of
supercooled water determined by using a counterpressure capillary rise
method, J. Phys. Chem. B, 119, 5567–5575, https://doi.org/10.1021/acs.jpcb.5b00545,
2015.
Wagner, R., Möhler, O., Saathoff, H., Schnaiter, M., Skrotzki, J., Leisner, T., Wilson, T. W., Malkin, T. L., and Murray, B. J.: Ice cloud processing of ultra-viscous/glassy aerosol particles leads to enhanced ice nucleation ability, Atmos. Chem. Phys., 12, 8589–8610, https://doi.org/10.5194/acp-12-8589-2012, 2012.
Wagner, R., Möhler, O., Saathoff, H., and Schnaiter, M.: Enhanced
high-temperature ice nucleation ability of crystallized aerosol particles
after preactivation at low temperature, J. Geophys. Res.-Atmos., 119,
8212–8230, https://doi.org/10.1002/2014JD021741, 2014.
Wagner, R., Kiselev, A., Möhler, O., Saathoff, H., and Steinke, I.: Pre-activation of ice-nucleating particles by the pore condensation and freezing mechanism, Atmos. Chem. Phys., 16, 2025–2042, https://doi.org/10.5194/acp-16-2025-2016, 2016.
Wang, B., Knopf, D. A., China, S., Arey, B. W., Harder, T. H., Gilles, M.
K., and Laskin, A.: Direct observation of ice nucleation events on
individual atmospheric particles, Phys. Chem. Chem. Phys., 18, 29721–29731,
https://doi.org/10.1039/C6CP05253C, 2016.
Webber, B. and Dore, J.: Structural and dynamic studies of water in
mesoporous silicas using neutron scattering and nuclear magnetic resonance,
J. Phys.-Condens. Mat., 16, S5449–S5470, https://doi.org/10.1088/0953-8984/16/45/009,
2004.
Webber, J. B. W., Dore, J. C., Strange, J. H., Anderson, R., and Tohidi, B.:
Plastic ice in confined geometry: the evidence from neutron diffraction and
NMR relaxation, J. Phys.-Condens. Mat., 19, 415117,
https://doi.org/10.1088/0953-8984/19/41/415117, 2007.
Welti, A., Kanji, Z. A., Lüönd, F., Stetzer, O., and Lohmann U.:
Exploring the mechanisms of ice nucleation: From deposition nucleation to
condensation freezing, J. Atmos. Sci., 71, 16–36,
https://doi.org/10.1175/JAS-D-12-0252.1, 2014.
Zaragoza, A., Conde, M. M., Espinosa, J. R., Valeriani, C., Vega, C., and
Sanz, E.: Competition between ices Ih and Ic in homogeneous water freezing,
J. Chem. Phys., 143, 134504, https://doi.org/10.1063/1.4931987, 2015.
Zettlemoyer, A. C., Tcheurekdjian, N., and Chessick, J. J.: Surface
properties of silver iodide, Nature, 192, 653, https://doi.org/10.1038/192653a0, 1961.
Zobrist, B., Koop, T., Luo, B. P., Marcolli, C., and Peter, T.:
Heterogeneous ice nucleation rate coefficient of water droplets coated by a
nonadecanol monolayer, J. Phys. Chem. C, 111, 2149–2155,
https://doi.org/10.1021/jp066080w, 2007.
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Short summary
Pore condensation and freezing (PCF) is an ice nucleation mechanism explaining ice formation at low ice supersaturation. It is assumed that liquid water condenses in pores of solid aerosol particles below water saturation followed by ice nucleation within the pores. This study discusses conditions of pore filling, homogeneous ice nucleation within the volume of porewater, and growth of ice out of the pores, taking the effect of negative pressure within pores below water saturation into account.
Pore condensation and freezing (PCF) is an ice nucleation mechanism explaining ice formation at...
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