Articles | Volume 19, issue 3
https://doi.org/10.5194/acp-19-1413-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-1413-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Understanding aerosol–cloud interactions through modeling the development of orographic cumulus congestus during IPHEx
Yajuan Duan
Department of Civil and Environmental Engineering, Duke University, Durham, NC, USA
Markus D. Petters
Department of Marine Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA
Department of Civil and Environmental Engineering, Duke University, Durham, NC, USA
Related authors
Y. Duan, A. M. Wilson, and A. P. Barros
Hydrol. Earth Syst. Sci., 19, 1501–1520, https://doi.org/10.5194/hess-19-1501-2015, https://doi.org/10.5194/hess-19-1501-2015, 2015
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A diagnostic analysis of the space-time structure of error in quantitative precipitation estimates (QPEs) from the precipitation radar on the Tropical Rainfall Measurement Mission satellite is presented here in preparation for the Integrated Precipitation and Hydrology Experiment (IPHEx) in 2014. A high-density raingauge network over the southern Appalachians allows for direct comparison between ground-based measurements and satellite-based QPE (PR 2A25 Version 7 with 5 years of data 2008-2013).
Paul DeMott, Jessica Mirrielees, Sarah Petters, Daniel Cziczo, Markus Petters, Heinz Bingemer, Thomas Hill, Karl Froyd, Sarvesh Garimella, Gannet Hallar, Ezra Levin, Ian McCubbin, Anne Perring, Christopher Rapp, Thea Schiebel, Jann Schrod, Kaitlyn Suski, Daniel Weber, Martin Wolf, Maria Zawadowicz, Jake Zenker, Ottmar Möhler, and Sarah Brooks
EGUsphere, https://doi.org/10.5194/egusphere-2024-1744, https://doi.org/10.5194/egusphere-2024-1744, 2024
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The Fifth International Ice Nucleation Workshop 3rd Phase (FIN-03) compared the ambient atmospheric performance of ice nucleating particle (INP) measuring systems and explored general methods for discerning atmospheric INP compositions. Mirroring laboratory results, most measurements agreed within one order of magnitude. Measurements of total aerosol properties and investigations of INP compositions supported a dominant role of soil and plant organic aerosol elements as INPs during the study.
Markus D. Petters, Tyas Pujiastuti, Ajmal Rasheeda Satheesh, Sabin Kasparoglu, Bethany Sutherland, and Nicholas Meskhidze
Atmos. Chem. Phys., 24, 745–762, https://doi.org/10.5194/acp-24-745-2024, https://doi.org/10.5194/acp-24-745-2024, 2024
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This work introduces a new method that uses remote sensing techniques to obtain surface number emissions of particles with a diameter greater than 500 nm. The technique was applied to study particle emissions at an urban site near Houston, TX, USA. The emissions followed a diurnal pattern and peaked near noon local time. The daily averaged emissions correlated with wind speed. The source is likely due to wind-driven erosion of material situated on asphalted and other hard surfaces.
Sabin Kasparoglu, Mohammad Maksimul Islam, Nicholas Meskhidze, and Markus D. Petters
Atmos. Meas. Tech., 15, 5007–5018, https://doi.org/10.5194/amt-15-5007-2022, https://doi.org/10.5194/amt-15-5007-2022, 2022
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A modified version of a Handix Scientific printed optical particle spectrometer is introduced. The paper presents characterization experiments, including concentration, size, and time responses. Integration of an external multichannel analyzer card removes counting limitations of the original instrument. It is shown that the high-resolution light-scattering amplitude data can be used to sense particle-phase transitions.
Markus D. Petters
Atmos. Meas. Tech., 14, 7909–7928, https://doi.org/10.5194/amt-14-7909-2021, https://doi.org/10.5194/amt-14-7909-2021, 2021
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Inverse methods infer physical properties from a measured instrument response. Measurement noise often interferes with the inversion. This work presents a general, domain-independent, accessible, and computationally efficient software implementation of a common class of statistical inversion methods. In addition, a new method to invert data from humidified tandem differential mobility analyzers is introduced. Results show that the approach is suitable for inversion of large-scale datasets.
Rhae Sung Kim, Sujay Kumar, Carrie Vuyovich, Paul Houser, Jessica Lundquist, Lawrence Mudryk, Michael Durand, Ana Barros, Edward J. Kim, Barton A. Forman, Ethan D. Gutmann, Melissa L. Wrzesien, Camille Garnaud, Melody Sandells, Hans-Peter Marshall, Nicoleta Cristea, Justin M. Pflug, Jeremy Johnston, Yueqian Cao, David Mocko, and Shugong Wang
The Cryosphere, 15, 771–791, https://doi.org/10.5194/tc-15-771-2021, https://doi.org/10.5194/tc-15-771-2021, 2021
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High SWE uncertainty is observed in mountainous and forested regions, highlighting the need for high-resolution snow observations in these regions. Substantial uncertainty in snow water storage in Tundra regions and the dominance of water storage in these regions points to the need for high-accuracy snow estimation. Finally, snow measurements during the melt season are most needed at high latitudes, whereas observations at near peak snow accumulations are most beneficial over the midlatitudes.
Sabin Kasparoglu, Ying Li, Manabu Shiraiwa, and Markus D. Petters
Atmos. Chem. Phys., 21, 1127–1141, https://doi.org/10.5194/acp-21-1127-2021, https://doi.org/10.5194/acp-21-1127-2021, 2021
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Viscosity is important because it determines the lifetime, impact, and fate of particulate matter. We collected new data to rigorously test a framework that is used to constrain the phase state in global simulations. We find that the framework is accurate as long as appropriate compound specific inputs are available.
Samuel A. Atwood, Sonia M. Kreidenweis, Paul J. DeMott, Markus D. Petters, Gavin C. Cornwell, Andrew C. Martin, and Kathryn A. Moore
Atmos. Chem. Phys., 19, 6931–6947, https://doi.org/10.5194/acp-19-6931-2019, https://doi.org/10.5194/acp-19-6931-2019, 2019
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This paper presents measurements of aerosol particles at a coastal location. The particles were classified into distinct aerosol types using both microphysical measurements and meteorological information, allowing rapid changes between the aerosol types to be reliably identified. These particles can alter cloud and precipitation processes, and inclusion of the differences between types can improve atmospheric models and remote sensing retrievals in littoral zones.
Naruki Hiranuma, Kouji Adachi, David M. Bell, Franco Belosi, Hassan Beydoun, Bhaskar Bhaduri, Heinz Bingemer, Carsten Budke, Hans-Christian Clemen, Franz Conen, Kimberly M. Cory, Joachim Curtius, Paul J. DeMott, Oliver Eppers, Sarah Grawe, Susan Hartmann, Nadine Hoffmann, Kristina Höhler, Evelyn Jantsch, Alexei Kiselev, Thomas Koop, Gourihar Kulkarni, Amelie Mayer, Masataka Murakami, Benjamin J. Murray, Alessia Nicosia, Markus D. Petters, Matteo Piazza, Michael Polen, Naama Reicher, Yinon Rudich, Atsushi Saito, Gianni Santachiara, Thea Schiebel, Gregg P. Schill, Johannes Schneider, Lior Segev, Emiliano Stopelli, Ryan C. Sullivan, Kaitlyn Suski, Miklós Szakáll, Takuya Tajiri, Hans Taylor, Yutaka Tobo, Romy Ullrich, Daniel Weber, Heike Wex, Thomas F. Whale, Craig L. Whiteside, Katsuya Yamashita, Alla Zelenyuk, and Ottmar Möhler
Atmos. Chem. Phys., 19, 4823–4849, https://doi.org/10.5194/acp-19-4823-2019, https://doi.org/10.5194/acp-19-4823-2019, 2019
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A total of 20 ice nucleation measurement techniques contributed to investigate the immersion freezing behavior of cellulose particles – natural polymers. Our data showed several types of cellulose are able to nucleate ice as efficiently as some mineral dust samples and cellulose has the potential to be an important atmospheric ice-nucleating particle. Continued investigation/collaboration is necessary to obtain further insight into consistency or diversity of ice nucleation measurements.
Ankit Tandon, Nicholas E. Rothfuss, and Markus D. Petters
Atmos. Chem. Phys., 19, 3325–3339, https://doi.org/10.5194/acp-19-3325-2019, https://doi.org/10.5194/acp-19-3325-2019, 2019
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Organic compounds may form a barrier to condensation. Such barriers have been hypothesized to prevent water and other substances from mixing with salt cores. This will hinder the particles' ability to aid cloud formation of < 100 nm particles. Here we perform experiments encasing particles in plastic shells akin to water bottles. Against expectations, the plastic shell did not alter the droplet activation behavior of the encased particles. Water appears to readily permeate the plastic shell.
Jian Wang, John E. Shilling, Jiumeng Liu, Alla Zelenyuk, David M. Bell, Markus D. Petters, Ryan Thalman, Fan Mei, Rahul A. Zaveri, and Guangjie Zheng
Atmos. Chem. Phys., 19, 941–954, https://doi.org/10.5194/acp-19-941-2019, https://doi.org/10.5194/acp-19-941-2019, 2019
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Earlier studies showed organic hygroscopicity increases with oxidation level. Such increases have been attributed to higher water solubility for more oxidized organics. By systematically varying the water content of activating droplets, we show that for secondary organic aerosols, essentially all organics are dissolved at the point of droplet activation. Therefore, the organic hygroscopicity is not limited by solubility but is dictated mainly by the molecular weight of organic species.
Paul J. DeMott, Ottmar Möhler, Daniel J. Cziczo, Naruki Hiranuma, Markus D. Petters, Sarah S. Petters, Franco Belosi, Heinz G. Bingemer, Sarah D. Brooks, Carsten Budke, Monika Burkert-Kohn, Kristen N. Collier, Anja Danielczok, Oliver Eppers, Laura Felgitsch, Sarvesh Garimella, Hinrich Grothe, Paul Herenz, Thomas C. J. Hill, Kristina Höhler, Zamin A. Kanji, Alexei Kiselev, Thomas Koop, Thomas B. Kristensen, Konstantin Krüger, Gourihar Kulkarni, Ezra J. T. Levin, Benjamin J. Murray, Alessia Nicosia, Daniel O'Sullivan, Andreas Peckhaus, Michael J. Polen, Hannah C. Price, Naama Reicher, Daniel A. Rothenberg, Yinon Rudich, Gianni Santachiara, Thea Schiebel, Jann Schrod, Teresa M. Seifried, Frank Stratmann, Ryan C. Sullivan, Kaitlyn J. Suski, Miklós Szakáll, Hans P. Taylor, Romy Ullrich, Jesus Vergara-Temprado, Robert Wagner, Thomas F. Whale, Daniel Weber, André Welti, Theodore W. Wilson, Martin J. Wolf, and Jake Zenker
Atmos. Meas. Tech., 11, 6231–6257, https://doi.org/10.5194/amt-11-6231-2018, https://doi.org/10.5194/amt-11-6231-2018, 2018
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The ability to measure ice nucleating particles is vital to quantifying their role in affecting clouds and precipitation. Methods for measuring droplet freezing were compared while co-sampling relevant particle types. Measurement correspondence was very good for ice nucleating particles of bacterial and natural soil origin, and somewhat more disparate for those of mineral origin. Results reflect recently improved capabilities and provide direction toward addressing remaining measurement issues.
Paul J. DeMott, Thomas C. J. Hill, Markus D. Petters, Allan K. Bertram, Yutaka Tobo, Ryan H. Mason, Kaitlyn J. Suski, Christina S. McCluskey, Ezra J. T. Levin, Gregory P. Schill, Yvonne Boose, Anne Marie Rauker, Anna J. Miller, Jake Zaragoza, Katherine Rocci, Nicholas E. Rothfuss, Hans P. Taylor, John D. Hader, Cedric Chou, J. Alex Huffman, Ulrich Pöschl, Anthony J. Prenni, and Sonia M. Kreidenweis
Atmos. Chem. Phys., 17, 11227–11245, https://doi.org/10.5194/acp-17-11227-2017, https://doi.org/10.5194/acp-17-11227-2017, 2017
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The consistency and complementarity of different methods for measuring the numbers of particles capable of forming ice in clouds are examined in the atmosphere. Four methods for collecting particles for later (offline) freezing studies are compared to a common instantaneous method. Results support very good agreement in many cases but also biases that require further research. Present capabilities and uncertainties for obtaining global data on these climate-relevant aerosols are thus defined.
Yajuan Duan, Markus D. Petters, and Ana P. Barros
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-396, https://doi.org/10.5194/acp-2017-396, 2017
Revised manuscript not accepted
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To investigate aerosol-cloud interactions in cumulus development, a new cloud parcel model is developed to predict the vertical structure of cloud formation at early stages and evaluated against airborne observations during the Integrated Precipitation and Hydrology Experiment over the Southern Appalachian Mountains. The findings provide new insights into determinant factors of mid-day cumulus congestus formation that can explain a large fraction of warm season rainfall in mountainous regions.
Andrew C. Martin, Gavin C. Cornwell, Samuel A. Atwood, Kathryn A. Moore, Nicholas E. Rothfuss, Hans Taylor, Paul J. DeMott, Sonia M. Kreidenweis, Markus D. Petters, and Kimberly A. Prather
Atmos. Chem. Phys., 17, 1491–1509, https://doi.org/10.5194/acp-17-1491-2017, https://doi.org/10.5194/acp-17-1491-2017, 2017
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Anthropogenic influence on air quality, aerosol properties, and cloud activity was observed at Bodega Bay, CA, during periods when air from California's interior was transported to the coast. The sudden change in aerosol properties can impact atmospheric radiative balance and cloud formation in ways that must be accounted for in regional climate simulations.
M. D. Petters, S. M. Kreidenweis, and P. J. Ziemann
Geosci. Model Dev., 9, 111–124, https://doi.org/10.5194/gmd-9-111-2016, https://doi.org/10.5194/gmd-9-111-2016, 2016
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Organic particles suspended in air serve as nucleation seeds for droplets in atmospheric clouds. Over time their chemical composition changes towards more functionalized compounds. This work presents a model that can predict an organic compounds' ability promote the nucleation of cloud drops from its functional group composition. Hydroxyl, carboxyl, aldehyde, hydroperoxide, carbonyl, and ether moieties promote droplet nucleation. Methylene and nitrate moieties inhibit droplet nucleation.
Y. Duan, A. M. Wilson, and A. P. Barros
Hydrol. Earth Syst. Sci., 19, 1501–1520, https://doi.org/10.5194/hess-19-1501-2015, https://doi.org/10.5194/hess-19-1501-2015, 2015
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A diagnostic analysis of the space-time structure of error in quantitative precipitation estimates (QPEs) from the precipitation radar on the Tropical Rainfall Measurement Mission satellite is presented here in preparation for the Integrated Precipitation and Hydrology Experiment (IPHEx) in 2014. A high-density raingauge network over the southern Appalachians allows for direct comparison between ground-based measurements and satellite-based QPE (PR 2A25 Version 7 with 5 years of data 2008-2013).
N. Hiranuma, S. Augustin-Bauditz, H. Bingemer, C. Budke, J. Curtius, A. Danielczok, K. Diehl, K. Dreischmeier, M. Ebert, F. Frank, N. Hoffmann, K. Kandler, A. Kiselev, T. Koop, T. Leisner, O. Möhler, B. Nillius, A. Peckhaus, D. Rose, S. Weinbruch, H. Wex, Y. Boose, P. J. DeMott, J. D. Hader, T. C. J. Hill, Z. A. Kanji, G. Kulkarni, E. J. T. Levin, C. S. McCluskey, M. Murakami, B. J. Murray, D. Niedermeier, M. D. Petters, D. O'Sullivan, A. Saito, G. P. Schill, T. Tajiri, M. A. Tolbert, A. Welti, T. F. Whale, T. P. Wright, and K. Yamashita
Atmos. Chem. Phys., 15, 2489–2518, https://doi.org/10.5194/acp-15-2489-2015, https://doi.org/10.5194/acp-15-2489-2015, 2015
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Seventeen ice nucleation measurement techniques contributed to investigate the immersion freezing behavior of illite NX. All data showed a similar temperature trend, but the measured ice nucleation activity was on average smaller for the wet suspended samples and higher for the dry-dispersed aerosol samples at high temperatures. A continued investigation and collaboration is necessary to obtain further insights into consistency or diversity of ice nucleation measurements.
P. J. DeMott, A. J. Prenni, G. R. McMeeking, R. C. Sullivan, M. D. Petters, Y. Tobo, M. Niemand, O. Möhler, J. R. Snider, Z. Wang, and S. M. Kreidenweis
Atmos. Chem. Phys., 15, 393–409, https://doi.org/10.5194/acp-15-393-2015, https://doi.org/10.5194/acp-15-393-2015, 2015
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Laboratory and field data are used together to develop an empirical relation between the concentrations of mineral dust particles at sizes above 0.5 microns, approximated as a single compositional type, and ice nucleating particle concentrations measured versus temperature. This should be useful in global modeling of ice cloud formation. The utility of laboratory data for parameterization development is reinforced, and the need for careful interpretation of ice nucleation data is emphasized.
T. K. V. Nguyen, M. D. Petters, S. R. Suda, H. Guo, R. J. Weber, and A. G. Carlton
Atmos. Chem. Phys., 14, 10911–10930, https://doi.org/10.5194/acp-14-10911-2014, https://doi.org/10.5194/acp-14-10911-2014, 2014
S. Nakao, S. R. Suda, M. Camp, M. D. Petters, and S. M. Kreidenweis
Atmos. Meas. Tech., 7, 2227–2241, https://doi.org/10.5194/amt-7-2227-2014, https://doi.org/10.5194/amt-7-2227-2014, 2014
J. D. Hader, T. P. Wright, and M. D. Petters
Atmos. Chem. Phys., 14, 5433–5449, https://doi.org/10.5194/acp-14-5433-2014, https://doi.org/10.5194/acp-14-5433-2014, 2014
J. Tao and A. P. Barros
Hydrol. Earth Syst. Sci., 18, 367–388, https://doi.org/10.5194/hess-18-367-2014, https://doi.org/10.5194/hess-18-367-2014, 2014
M. D. Petters and S. M. Kreidenweis
Atmos. Chem. Phys., 13, 1081–1091, https://doi.org/10.5194/acp-13-1081-2013, https://doi.org/10.5194/acp-13-1081-2013, 2013
Related subject area
Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
The presence of clouds lowers climate sensitivity in the MPI-ESM1.2 climate model
Diurnal variation in an amplified canopy urban heat island during heat wave periods in the megacity of Beijing: roles of mountain–valley breeze and urban morphology
Diurnal evolution of non-precipitating marine stratocumuli in a large-eddy simulation ensemble
High ice water content in tropical mesoscale convective systems (a conceptual model)
Evolution of cloud droplet temperature and lifetime in spatiotemporally varying subsaturated environments with implications for ice nucleation at cloud edges
Effect of secondary ice production processes on the simulation of ice pellets using the Predicted Particle Properties microphysics scheme
Simulated particle evolution within a winter storm: contributions of riming to radar moments and precipitation fallout
A thermal-driven graupel generation process to explain dry-season convective vigor over the Amazon
Modeling homogeneous ice nucleation from drop-freezing experiments: impact of droplet volume dispersion and cooling rates
Cloud water adjustments to aerosol perturbations are buffered by solar heating in non-precipitating marine stratocumuli
Glaciation of mixed-phase clouds: insights from bulk model and bin-microphysics large-eddy simulation informed by laboratory experiment
Microphysical processes involving the vapour phase dominate in simulated low-level Arctic clouds
Understanding aerosol–cloud interactions using a single-column model for a cold-air outbreak case during the ACTIVATE campaign
On the sensitivity of aerosol–cloud interactions to changes in sea surface temperature in radiative–convective equilibrium
The role of ascent timescale for WCB moisture transport into the UTLS
Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model
Estimating the concentration of silver iodide needed to detect unambiguous signatures of glaciogenic cloud seeding
Impact of secondary ice production on thunderstorm electrification under different aerosol conditions
The impact of mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain
Finite domains cause bias in measured and modeled distributions of cloud sizes
A systematic evaluation of high-cloud controlling factors
Tracking precipitation features and associated large-scale environments over southeastern Texas
Revisiting the evolution of downhill thunderstorms over Beijing: a new perspective from a radar wind profiler mesonet
How well can persistent contrails be predicted? An update
Model analysis of biases in satellite diagnosed aerosol effect on cloud liquid water path
Dynamical imprints on precipitation cluster statistics across a hierarchy of high-resolution simulations
Potential impacts of marine fuel regulations on Arctic clouds and radiative feedbacks
Present-day correlations are insufficient to predict cloud albedo change by anthropogenic aerosols in E3SM v2
Simulations of primary and secondary ice production during an Arctic mixed-phase cloud case from the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) campaign
Microphysical characteristics of precipitation within convective overshooting over East China observed by GPM DPR and ERA5
The Impact of Aerosol on Cloud Water: A Heuristic Perspective
Effects of radiative cooling on advection fog over the northwest Pacific Ocean: observations and large-eddy simulations
Evaluating the Wegener–Bergeron–Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project
Aerosol-induced closure of marine cloud cells: enhanced effects in the presence of precipitation
Ice-nucleating particle concentration impacts cloud properties over Dronning Maud Land, East Antarctica, in COSMO-CLM2
Impact of ice multiplication on the cloud electrification of a cold-season thunderstorm: a numerical case study
Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model
Interactions between trade wind clouds and local forcings over the Great Barrier Reef: a case study using convection-permitting simulations
Variability in the properties of the distribution of the relative humidity with respect to ice: implications for contrail formation
Simulating the seeder–feeder impacts on cloud ice and precipitation over the Alps
Can pollen affect precipitation?
Cloud response to co-condensation of water and organic vapors over the boreal forest
Distribution and morphology of non-persistent contrail and persistent contrail formation areas in ERA5
Connection of Surface Snowfall Bias to Cloud Phase Bias – Satellite Observations, ERA5, and CMIP6
Above-cloud concentrations of cloud condensation nuclei help to sustain some Arctic low-level clouds
WRF-SBM Numerical Simulation of Aerosol Effects on Stratiform Warm Clouds in Jiangxi, China
Contrail formation on ambient aerosol particles for aircraft with hydrogen combustion: a box model trajectory study
Effects of intermittent aerosol forcing on the stratocumulus-to-cumulus transition
Cloud properties and their projected changes in CMIP models with low to high climate sensitivity
Water isotopic characterisation of the cloud–circulation coupling in the North Atlantic trades – Part 2: The imprint of the atmospheric circulation at different scales
Andrea Mosso, Thomas Hocking, and Thorsten Mauritsen
Atmos. Chem. Phys., 24, 12793–12806, https://doi.org/10.5194/acp-24-12793-2024, https://doi.org/10.5194/acp-24-12793-2024, 2024
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Clouds play a crucial role in the Earth's energy balance, as they can either warm up or cool down the area they cover depending on their height and depth. They are expected to alter their behaviour under climate change, affecting the warming generated by greenhouse gases. This paper proposes a new method to estimate their overall effect on this warming by simulating a climate where clouds are transparent. Results show that with the model used, clouds have a stabilising effect on climate.
Tao Shi, Yuanjian Yang, Ping Qi, and Simone Lolli
Atmos. Chem. Phys., 24, 12807–12822, https://doi.org/10.5194/acp-24-12807-2024, https://doi.org/10.5194/acp-24-12807-2024, 2024
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This paper explored the formation mechanisms of the amplified canopy urban heat island intensity (ΔCUHII) during heat wave (HW) periods in the megacity of Beijing from the perspectives of mountain–valley breeze and urban morphology. During the mountain breeze phase, high-rise buildings with lower sky view factors (SVFs) had a pronounced effect on the ΔCUHII. During the valley breeze phase, high-rise buildings exerted a dual influence on the ΔCUHII.
Yao-Sheng Chen, Jianhao Zhang, Fabian Hoffmann, Takanobu Yamaguchi, Franziska Glassmeier, Xiaoli Zhou, and Graham Feingold
Atmos. Chem. Phys., 24, 12661–12685, https://doi.org/10.5194/acp-24-12661-2024, https://doi.org/10.5194/acp-24-12661-2024, 2024
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Marine stratocumulus cloud is a type of shallow cloud that covers the vast areas of Earth's surface. It plays an important role in Earth's energy balance by reflecting solar radiation back to space. We used numerical models to simulate a large number of marine stratocumuli with different characteristics. We found that how the clouds develop throughout the day is affected by the level of humidity in the air above the clouds and how closely the clouds connect to the ocean surface.
Alexei Korolev, Zhipeng Qu, Jason Milbrandt, Ivan Heckman, Mélissa Cholette, Mengistu Wolde, Cuong Nguyen, Greg M. McFarquhar, Paul Lawson, and Ann M. Fridlind
Atmos. Chem. Phys., 24, 11849–11881, https://doi.org/10.5194/acp-24-11849-2024, https://doi.org/10.5194/acp-24-11849-2024, 2024
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The phenomenon of high ice water content (HIWC) occurs in mesoscale convective systems (MCSs) when a large number of small ice particles with typical sizes of a few hundred micrometers is found at high altitudes. It was found that secondary ice production in the vicinity of the melting layer plays a key role in the formation and maintenance of HIWC. This study presents a conceptual model of the formation of HIWC in tropical MCSs based on in situ observations and numerical simulation.
Puja Roy, Robert M. Rauber, and Larry Di Girolamo
Atmos. Chem. Phys., 24, 11653–11678, https://doi.org/10.5194/acp-24-11653-2024, https://doi.org/10.5194/acp-24-11653-2024, 2024
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Cloud droplet temperature and lifetime impact cloud microphysical processes such as the activation of ice-nucleating particles. We investigate the thermal and radial evolution of supercooled cloud droplets and their surrounding environments with an aim to better understand observed enhanced ice formation at supercooled cloud edges. This analysis shows that the magnitude of droplet cooling during evaporation is greater than estimated from past studies, especially for drier environments.
Mathieu Lachapelle, Mélissa Cholette, and Julie M. Thériault
Atmos. Chem. Phys., 24, 11285–11304, https://doi.org/10.5194/acp-24-11285-2024, https://doi.org/10.5194/acp-24-11285-2024, 2024
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Hazardous precipitation types such as ice pellets and freezing rain are difficult to predict because they are associated with complex microphysical processes. Using Predicted Particle Properties (P3), this work shows that secondary ice production processes increase the amount of ice pellets simulated while decreasing the amount of freezing rain. Moreover, the properties of the simulated precipitation compare well with those that were measured.
Andrew DeLaFrance, Lynn A. McMurdie, Angela K. Rowe, and Andrew J. Heymsfield
Atmos. Chem. Phys., 24, 11191–11206, https://doi.org/10.5194/acp-24-11191-2024, https://doi.org/10.5194/acp-24-11191-2024, 2024
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Using a numerical model, the process whereby falling ice crystals accumulate supercooled liquid water droplets is investigated to elucidate its effects on radar-based measurements and surface precipitation. We demonstrate that this process accounted for 55% of the precipitation during a wintertime storm and is uniquely discernable from other ice crystal growth processes in Doppler velocity measurements. These results have implications for measurements from airborne and spaceborne platforms.
Toshi Matsui, Daniel Hernandez-Deckers, Scott E. Giangrande, Thiago S. Biscaro, Ann Fridlind, and Scott Braun
Atmos. Chem. Phys., 24, 10793–10814, https://doi.org/10.5194/acp-24-10793-2024, https://doi.org/10.5194/acp-24-10793-2024, 2024
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Using computer simulations and real measurements, we discovered that storms over the Amazon were narrower but more intense during the dry periods, producing heavier rain and more ice particles in the clouds. Our research showed that cumulus bubbles played a key role in creating these intense storms. This study can improve the representation of the effect of continental and ocean environments on tropical regions' rainfall patterns in simulations.
Ravi Kumar Reddy Addula, Ingrid de Almeida Ribeiro, Valeria Molinero, and Baron Peters
Atmos. Chem. Phys., 24, 10833–10848, https://doi.org/10.5194/acp-24-10833-2024, https://doi.org/10.5194/acp-24-10833-2024, 2024
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Ice nucleation from supercooled droplets is important in many weather and climate modeling efforts. For experiments where droplets are steadily supercooled from the freezing point, our work combines nucleation theory and survival probability analysis to predict the nucleation spectrum, i.e., droplet freezing probabilities vs. temperature. We use the new framework to extract approximately consistent rate parameters from experiments with different cooling rates and droplet sizes.
Jianhao Zhang, Yao-Sheng Chen, Takanobu Yamaguchi, and Graham Feingold
Atmos. Chem. Phys., 24, 10425–10440, https://doi.org/10.5194/acp-24-10425-2024, https://doi.org/10.5194/acp-24-10425-2024, 2024
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Quantifying cloud response to aerosol perturbations presents a major challenge in understanding the human impact on climate. Using a large number of process-resolving simulations of marine stratocumulus, we show that solar heating drives a negative feedback mechanism that buffers the persistent negative trend in cloud water adjustment after sunrise. This finding has implications for the dependence of the cloud cooling effect on the timing of deliberate aerosol perturbations.
Aaron Wang, Steve Krueger, Sisi Chen, Mikhail Ovchinnikov, Will Cantrell, and Raymond A. Shaw
Atmos. Chem. Phys., 24, 10245–10260, https://doi.org/10.5194/acp-24-10245-2024, https://doi.org/10.5194/acp-24-10245-2024, 2024
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We employ two methods to examine a laboratory experiment on clouds with both ice and liquid phases. The first assumes well-mixed properties; the second resolves the spatial distribution of turbulence and cloud particles. Results show that while the trends in mean properties generally align, when turbulence is resolved, liquid droplets are not fully depleted by ice due to incomplete mixing. This underscores the threshold of ice mass fraction in distinguishing mixed-phase clouds from ice clouds.
Theresa Kiszler, Davide Ori, and Vera Schemann
Atmos. Chem. Phys., 24, 10039–10053, https://doi.org/10.5194/acp-24-10039-2024, https://doi.org/10.5194/acp-24-10039-2024, 2024
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Microphysical processes impact the phase-partitioning of clouds. In this study we evaluate these processes while focusing on low-level Arctic clouds. To achieve this we used an extensive simulation set in combination with a new diagnostic tool. This study presents our findings on the relevance of these processes and their behaviour under different thermodynamic regimes.
Shuaiqi Tang, Hailong Wang, Xiang-Yu Li, Jingyi Chen, Armin Sorooshian, Xubin Zeng, Ewan Crosbie, Kenneth L. Thornhill, Luke D. Ziemba, and Christiane Voigt
Atmos. Chem. Phys., 24, 10073–10092, https://doi.org/10.5194/acp-24-10073-2024, https://doi.org/10.5194/acp-24-10073-2024, 2024
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We examined marine boundary layer clouds and their interactions with aerosols in the E3SM single-column model (SCM) for a case study. The SCM shows good agreement when simulating the clouds with high-resolution models. It reproduces the relationship between cloud droplet and aerosol particle number concentrations as produced in global models. However, the relationship between cloud liquid water and droplet number concentration is different, warranting further investigation.
Suf Lorian and Guy Dagan
Atmos. Chem. Phys., 24, 9323–9338, https://doi.org/10.5194/acp-24-9323-2024, https://doi.org/10.5194/acp-24-9323-2024, 2024
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We examine the combined effect of aerosols and sea surface temperature (SST) on clouds under equilibrium conditions in cloud-resolving radiative–convective equilibrium simulations. We demonstrate that the aerosol–cloud interaction's effect on top-of-atmosphere energy gain strongly depends on the underlying SST, while the shortwave part of the spectrum is significantly more sensitive to SST. Furthermore, increasing aerosols influences upper-troposphere stability and thus anvil cloud fraction.
Cornelis Schwenk and Annette Miltenberger
EGUsphere, https://doi.org/10.5194/egusphere-2024-2402, https://doi.org/10.5194/egusphere-2024-2402, 2024
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Warm conveyor belts (WCBs) transport moisture into the upper atmosphere, where it acts as a greenhouse gas. This transport is not well understood, and the role of rapidly rising air is unclear. We simulate a WCB and look at fast and slow rising air to see how moisture is (differently) transported. We find that for fast ascending air more ice particles reach higher into the atmosphere, and that frozen cloud particles are removed differently than during slow ascent, which has more water vapour.
Jianqi Zhao, Xiaoyan Ma, Johannes Quaas, and Hailing Jia
Atmos. Chem. Phys., 24, 9101–9118, https://doi.org/10.5194/acp-24-9101-2024, https://doi.org/10.5194/acp-24-9101-2024, 2024
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We explore aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean in winter based on the WRF-Chem–SBM model, which couples a spectral-bin microphysics scheme and an online aerosol module. Our study highlights the differences in aerosol–cloud interactions between land and ocean and between precipitation clouds and non-precipitation clouds, and it differentiates and quantifies their underlying mechanisms.
Jing Yang, Jiaojiao Li, Meilian Chen, Xiaoqin Jing, Yan Yin, Bart Geerts, Zhien Wang, Yubao Liu, Baojun Chen, Shaofeng Hua, Hao Hu, Xiaobo Dong, Ping Tian, Qian Chen, and Yang Gao
EGUsphere, https://doi.org/10.5194/egusphere-2024-2301, https://doi.org/10.5194/egusphere-2024-2301, 2024
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Detecting unambiguous signatures is vital to investigate cloud seeding impacts, but in many cases seeding signature is immersed in natural variability. In this study, the reflectivity change induced by glaciogenic seeding using different AgI concentrations is investigated under various conditions, and a method is developed to estimate the AgI concentration needed to detect unambiguous seeding signatures. The results are helpful in operational seeding decision making of the AgI amount dispersed.
Shiye Huang, Jing Yang, Qian Chen, Jiaojiao Li, Qilin Zhang, and Fengxia Guo
EGUsphere, https://doi.org/10.5194/egusphere-2024-2013, https://doi.org/10.5194/egusphere-2024-2013, 2024
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Aerosol and secondary ice production are both vital to charge separation in thunderstorms, but the relative importance of different SIP processes to cloud electrification under different aerosol conditions is not well understood. In this study, we show in a clean environment, the shattering of freezing drops has the greatest effect on the charging rate, while in a polluted environment, both rime splintering and the shattering of freezing drops have a significant effect on cloud electrification.
Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann
EGUsphere, https://doi.org/10.5194/egusphere-2024-1989, https://doi.org/10.5194/egusphere-2024-1989, 2024
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We evaluated the numerical weather model ICON in two horizontal resolutions with two bulk microphysics schemes over hilly and complex terrain in Switzerland and Austria, respectively. We focused on the model's ability of simulating mid-level clouds in summer and winter. By combining observational data from two different field campaigns we show that both an increase in horizontal resolution and a more advanced cloud microphysics scheme is strongly beneficial for the cloud representation.
Thomas D. DeWitt and Timothy J. Garrett
Atmos. Chem. Phys., 24, 8457–8472, https://doi.org/10.5194/acp-24-8457-2024, https://doi.org/10.5194/acp-24-8457-2024, 2024
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There is considerable disagreement on mathematical parameters that describe the number of clouds of different sizes as well as the size of the largest clouds. Both are key defining characteristics of Earth's atmosphere. A previous study provided an incorrect explanation for the disagreement. Instead, the disagreement may be explained by prior studies not properly accounting for the size of their measurement domain. We offer recommendations for how the domain size can be accounted for.
Sarah Wilson Kemsley, Paulo Ceppi, Hendrik Andersen, Jan Cermak, Philip Stier, and Peer Nowack
Atmos. Chem. Phys., 24, 8295–8316, https://doi.org/10.5194/acp-24-8295-2024, https://doi.org/10.5194/acp-24-8295-2024, 2024
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Aiming to inform parameter selection for future observational constraint analyses, we incorporate five candidate meteorological drivers specifically targeting high clouds into a cloud controlling factor framework within a range of spatial domain sizes. We find a discrepancy between optimal domain size for predicting locally and globally aggregated cloud radiative anomalies and identify upper-tropospheric static stability as an important high-cloud controlling factor.
Ye Liu, Yun Qian, Larry K. Berg, Zhe Feng, Jianfeng Li, Jingyi Chen, and Zhao Yang
Atmos. Chem. Phys., 24, 8165–8181, https://doi.org/10.5194/acp-24-8165-2024, https://doi.org/10.5194/acp-24-8165-2024, 2024
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Deep convection under various large-scale meteorological patterns (LSMPs) shows distinct precipitation features. In southeastern Texas, mesoscale convective systems (MCSs) contribute significantly to precipitation year-round, while isolated deep convection (IDC) is prominent in summer and fall. Self-organizing maps (SOMs) reveal convection can occur without large-scale lifting or moisture convergence. MCSs and IDC events have distinct life cycles influenced by specific LSMPs.
Xiaoran Guo, Jianping Guo, Tianmeng Chen, Ning Li, Fan Zhang, and Yuping Sun
Atmos. Chem. Phys., 24, 8067–8083, https://doi.org/10.5194/acp-24-8067-2024, https://doi.org/10.5194/acp-24-8067-2024, 2024
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The prediction of downhill thunderstorms (DSs) remains elusive. We propose an objective method to identify DSs, based on which enhanced and dissipated DSs are discriminated. A radar wind profiler (RWP) mesonet is used to derive divergence and vertical velocity. The mid-troposphere divergence and prevailing westerlies enhance the intensity of DSs, whereas low-level divergence is observed when the DS dissipates. The findings highlight the key role that an RWP mesonet plays in the evolution of DSs.
Sina Hofer, Klaus Gierens, and Susanne Rohs
Atmos. Chem. Phys., 24, 7911–7925, https://doi.org/10.5194/acp-24-7911-2024, https://doi.org/10.5194/acp-24-7911-2024, 2024
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We try to improve the forecast of ice supersaturation (ISS) and potential persistent contrails using data on dynamical quantities in addition to temperature and relative humidity in a modern kind of regression model. Although the results are improved, they are not good enough for flight routing. The origin of the problem is the strong overlap of probability densities conditioned on cases with and without ice-supersaturated regions (ISSRs) in the important range of 70–100 %.
Harri Kokkola, Juha Tonttila, Silvia Calderón, Sami Romakkaniemi, Antti Lipponen, Aapo Peräkorpi, Tero Mielonen, Edward Gryspeerdt, Timo H. Virtanen, Pekka Kolmonen, and Antti Arola
EGUsphere, https://doi.org/10.5194/egusphere-2024-1964, https://doi.org/10.5194/egusphere-2024-1964, 2024
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Understanding how atmospheric aerosols affect clouds is a scientific challenge. One question is how aerosols affects the amount cloud water. We used a cloud-scale model to study these effects on marine clouds. The study showed that variations in cloud properties and instrument noise can cause bias in satellite derived cloud water content. However, our results suggest that for similar weather conditions with well-defined aerosol concentrations, satellite data can reliably track these effects.
Claudia Christine Stephan and Bjorn Stevens
EGUsphere, https://doi.org/10.5194/egusphere-2024-2020, https://doi.org/10.5194/egusphere-2024-2020, 2024
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Tropical precipitation cluster area and intensity distributions follow power laws, but the physical processes responsible for this behavior remain unknown. We analyze global simulations that realistically represent precipitation processes. We consider Earth-like planets as well as virtual planets to realize different types of large-scale dynamics. Our finding is that power laws in Earth’s precipitation cluster statistics stem from the robust power laws in Earth’s atmospheric wind field.
Luís Filipe Escusa dos Santos, Hannah C. Frostenberg, Alejandro Baró Pérez, Annica M. L. Ekman, Luisa Ickes, and Erik S. Thomson
EGUsphere, https://doi.org/10.5194/egusphere-2024-1891, https://doi.org/10.5194/egusphere-2024-1891, 2024
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The Arctic is experiencing enhanced surface warming. The observed decline in Arctic sea-ice extent is projected to lead to an increase in Arctic shipping activity which may lead to further climatic feedbacks. We investigate, using an atmospheric model and results from marine engine experiments which focused on fuel sulfur content reduction and exhaust wet scrubbing, how ship exhaust particles influence the properties of Arctic clouds. Implications for radiative surface processes are discussed.
Naser Mahfouz, Johannes Mülmenstädt, and Susannah Burrows
Atmos. Chem. Phys., 24, 7253–7260, https://doi.org/10.5194/acp-24-7253-2024, https://doi.org/10.5194/acp-24-7253-2024, 2024
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Climate models are our primary tool to probe past, present, and future climate states unlike the more recent observation record. By constructing a hypothetical model configuration, we show that present-day correlations are insufficient to predict a persistent uncertainty in climate projection (how much sun because clouds will reflect in a changing climate). We hope our result will contribute to the scholarly conversation on better utilizing observations to constrain climate uncertainties.
Britta Schäfer, Robert Oscar David, Paraskevi Georgakaki, Julie Thérèse Pasquier, Georgia Sotiropoulou, and Trude Storelvmo
Atmos. Chem. Phys., 24, 7179–7202, https://doi.org/10.5194/acp-24-7179-2024, https://doi.org/10.5194/acp-24-7179-2024, 2024
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Mixed-phase clouds, i.e., clouds consisting of ice and supercooled water, are very common in the Arctic. However, how these clouds form is often not correctly represented in standard weather models. We show that both ice crystal concentrations in the cloud and precipitation from the cloud can be improved in the model when aerosol concentrations are prescribed from observations and when more processes for ice multiplication, i.e., the production of new ice particles from existing ice, are added.
Nan Sun, Gaopeng Lu, and Yunfei Fu
Atmos. Chem. Phys., 24, 7123–7135, https://doi.org/10.5194/acp-24-7123-2024, https://doi.org/10.5194/acp-24-7123-2024, 2024
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Microphysical characteristics of convective overshooting are essential but poorly understood, and we examine them by using the latest data. (1) Convective overshooting events mainly occur over NC (Northeast China) and northern MEC (Middle and East China). (2) Radar reflectivity of convective overshooting over NC accounts for a higher proportion below the zero level, while the opposite is the case for MEC and SC (South China). (3) Droplets of convective overshooting are large but sparse.
Fabian Hoffmann, Franziska Glassmeier, and Graham Feingold
EGUsphere, https://doi.org/10.5194/egusphere-2024-1725, https://doi.org/10.5194/egusphere-2024-1725, 2024
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Clouds constitute a major cooling influence on Earth's climate system by reflecting a large fraction of the incident solar radiation back to space. This ability is controlled by the number of cloud droplets, which is governed by the number of aerosol particles in the atmosphere, laying out the foundation for so-called aerosol-cloud-climate interactions. In this study, a simple model to understand the effect of aerosol on cloud water is developed and applied.
Liu Yang, Saisai Ding, Jing-Wu Liu, and Su-Ping Zhang
Atmos. Chem. Phys., 24, 6809–6824, https://doi.org/10.5194/acp-24-6809-2024, https://doi.org/10.5194/acp-24-6809-2024, 2024
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Advection fog occurs when warm and moist air moves over a cold sea surface. In this situation, the temperature of the foggy air usually drops below the sea surface temperature (SST), particularly at night. High-resolution simulations show that the cooling effect of longwave radiation from the top of the fog layer permeates through the fog, resulting in a cooling of the surface air below SST. This study emphasizes the significance of monitoring air temperature to enhance sea fog forecasting.
Nadja Omanovic, Sylvaine Ferrachat, Christopher Fuchs, Jan Henneberger, Anna J. Miller, Kevin Ohneiser, Fabiola Ramelli, Patric Seifert, Robert Spirig, Huiying Zhang, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 6825–6844, https://doi.org/10.5194/acp-24-6825-2024, https://doi.org/10.5194/acp-24-6825-2024, 2024
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We present simulations with a high-resolution numerical weather prediction model to study the growth of ice crystals in low clouds following glaciogenic seeding. We show that the simulated ice crystals grow slower than observed and do not consume as many cloud droplets as measured in the field. This may have implications for forecasting precipitation, as the ice phase is crucial for precipitation at middle and high latitudes.
Matthew W. Christensen, Peng Wu, Adam C. Varble, Heng Xiao, and Jerome D. Fast
Atmos. Chem. Phys., 24, 6455–6476, https://doi.org/10.5194/acp-24-6455-2024, https://doi.org/10.5194/acp-24-6455-2024, 2024
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Clouds are essential to keep Earth cooler by reflecting sunlight back to space. We show that an increase in aerosol concentration suppresses precipitation in clouds, causing them to accumulate water and expand in a polluted environment with stronger turbulence and radiative cooling. This process enhances their reflectance by 51 %. It is therefore prudent to account for cloud fraction changes in assessments of aerosol–cloud interactions to improve predictions of climate change.
Florian Sauerland, Niels Souverijns, Anna Possner, Heike Wex, Preben Van Overmeiren, Alexander Mangold, Kwinten Van Weverberg, and Nicole van Lipzig
EGUsphere, https://doi.org/10.5194/egusphere-2024-1341, https://doi.org/10.5194/egusphere-2024-1341, 2024
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We use a regional climate model, COSMO-CLM², enhanced with a module resolving aerosol processes, to study Antarctic clouds. We prescribe INP concentrations from observations at Princess Elisabeth Station and other sites to the model. We assess how Antarctic clouds respond to INP concentration changes, validating results with cloud observations from the station. Our results show that aerosol-cloud interactions vary with temperature, providing valuable insights into Antarctic cloud dynamics.
Jing Yang, Shiye Huang, Tianqi Yang, Qilin Zhang, Yuting Deng, and Yubao Liu
Atmos. Chem. Phys., 24, 5989–6010, https://doi.org/10.5194/acp-24-5989-2024, https://doi.org/10.5194/acp-24-5989-2024, 2024
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This study contributes to filling the dearth of understanding the impacts of different secondary ice production (SIP) processes on the cloud electrification in cold-season thunderstorms. The results suggest that SIP, especially the rime-splintering process and the shattering of freezing drops, has significant impacts on the charge structure of the storm. In addition, the modeled radar composite reflectivity and flash rate are improved after implementing the SIP processes in the model.
Ulrike Proske, Sylvaine Ferrachat, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 5907–5933, https://doi.org/10.5194/acp-24-5907-2024, https://doi.org/10.5194/acp-24-5907-2024, 2024
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Climate models include treatment of aerosol particles because these influence clouds and radiation. Over time their representation has grown increasingly detailed. This complexity may hinder our understanding of model behaviour. Thus here we simplify the aerosol representation of our climate model by prescribing mean concentrations, which saves run time and helps to discover unexpected model behaviour. We conclude that simplifications provide a new perspective for model study and development.
Wenhui Zhao, Yi Huang, Steven Siems, Michael Manton, and Daniel Harrison
Atmos. Chem. Phys., 24, 5713–5736, https://doi.org/10.5194/acp-24-5713-2024, https://doi.org/10.5194/acp-24-5713-2024, 2024
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We studied how shallow clouds and rain behave over the Great Barrier Reef (GBR) using a detailed weather model. We found that the shape of the land, especially mountains, and particles in the air play big roles in influencing these clouds. Surprisingly, the sea's temperature had a smaller effect. Our research helps us understand the GBR's climate and how various factors can influence it, where the importance of the local cloud in thermal coral bleaching has recently been identified.
Sidiki Sanogo, Olivier Boucher, Nicolas Bellouin, Audran Borella, Kevin Wolf, and Susanne Rohs
Atmos. Chem. Phys., 24, 5495–5511, https://doi.org/10.5194/acp-24-5495-2024, https://doi.org/10.5194/acp-24-5495-2024, 2024
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Relative humidity relative to ice (RHi) is a key variable in the formation of cirrus clouds and contrails. This study shows that the properties of the probability density function of RHi differ between the tropics and higher latitudes. In line with RHi and temperature variability, aircraft are likely to produce more contrails with bioethanol and liquid hydrogen as fuel. The impact of this fuel change decreases with decreasing pressure levels but increases from high latitudes to the tropics.
Zane Dedekind, Ulrike Proske, Sylvaine Ferrachat, Ulrike Lohmann, and David Neubauer
Atmos. Chem. Phys., 24, 5389–5404, https://doi.org/10.5194/acp-24-5389-2024, https://doi.org/10.5194/acp-24-5389-2024, 2024
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Ice particles precipitating into lower clouds from an upper cloud, the seeder–feeder process, can enhance precipitation. A numerical modeling study conducted in the Swiss Alps found that 48 % of observed clouds were overlapping, with the seeder–feeder process occurring in 10 % of these clouds. Inhibiting the seeder–feeder process reduced the surface precipitation and ice particle growth rates, which were further reduced when additional ice multiplication processes were included in the model.
Marje Prank, Juha Tonttila, Xiaoxia Shang, Sami Romakkaniemi, and Tomi Raatikainen
EGUsphere, https://doi.org/10.5194/egusphere-2024-876, https://doi.org/10.5194/egusphere-2024-876, 2024
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Large primary bioparticles such as pollen can be abundant in the atmosphere. In humid conditions pollens can rupture and release a large number of fine sub-pollen particles (SPPs). The paper investigates what kind of birch pollen concentrations are needed for the pollen and SPPs to start playing a noticeable role in cloud processes and alter precipitation formation. In the studied cases only the largest observed pollen concentrations were able to noticeably alter the precipitation formation.
Liine Heikkinen, Daniel G. Partridge, Sara Blichner, Wei Huang, Rahul Ranjan, Paul Bowen, Emanuele Tovazzi, Tuukka Petäjä, Claudia Mohr, and Ilona Riipinen
Atmos. Chem. Phys., 24, 5117–5147, https://doi.org/10.5194/acp-24-5117-2024, https://doi.org/10.5194/acp-24-5117-2024, 2024
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The organic vapor condensation with water vapor (co-condensation) in rising air below clouds is modeled in this work over the boreal forest because the forest air is rich in organic vapors. We show that the number of cloud droplets can increase by 20 % if considering co-condensation. The enhancements are even larger if the air contains many small, naturally produced aerosol particles. Such conditions are most frequently met in spring in the boreal forest.
Kevin Wolf, Nicolas Bellouin, and Olivier Boucher
Atmos. Chem. Phys., 24, 5009–5024, https://doi.org/10.5194/acp-24-5009-2024, https://doi.org/10.5194/acp-24-5009-2024, 2024
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The contrail formation potential and its tempo-spatial distribution are estimated for the North Atlantic flight corridor. Meteorological conditions of temperature and relative humidity are taken from the ERA5 re-analysis and IAGOS. Based on IAGOS flight tracks, crossing length, size, orientation, frequency of occurrence, and overlap of persistent contrail formation areas are determined. The presented conclusions might provide a guide for statistical flight track optimization to reduce contrails.
Franziska Hellmuth, Tim Carlsen, Anne Sophie Daloz, Robert Oscar David, and Trude Storelvmo
EGUsphere, https://doi.org/10.5194/egusphere-2024-754, https://doi.org/10.5194/egusphere-2024-754, 2024
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This article compares the occurrence of supercooled liquid-containing clouds (sLCCs) and their link to surface snowfall in CloudSat-CALIPSO, ERA5, and CMIP6 models. Significant discrepancies were found, with ERA5 and CMIP6 consistently overestimating sLCC and snowfall frequency. This bias is likely due to cloud microphysics parameterization. This conclusion has implications for accurately representing cloud phase and snowfall in future climate projections.
Lucas J. Sterzinger and Adele L. Igel
Atmos. Chem. Phys., 24, 3529–3540, https://doi.org/10.5194/acp-24-3529-2024, https://doi.org/10.5194/acp-24-3529-2024, 2024
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Using idealized large eddy simulations, we find that clouds forming in the Arctic in environments with low concentrations of aerosol particles may be sustained by mixing in new particles through the cloud top. Observations show that higher concentrations of these particles regularly exist above cloud top in concentrations that are sufficient to promote this sustenance.
Yi Li, Xiaoli Liu, and Hengjia Cai
EGUsphere, https://doi.org/10.5194/egusphere-2023-2644, https://doi.org/10.5194/egusphere-2023-2644, 2024
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Different aerosol modes' influence on cloud processes remains controversial. As a result, we modified the aerosol spectrum and concentration to simulated a warm stratiform cloud process in Jiangxi, China by WRF-SBM scheme. Research shows that: different aerosol spectra have diverse effects on cloud droplet spectra, cloud development, and correlation between dispersion (ε) and cloud physics quantities. Compared to cloud droplet concentration, ε is more sensitive to the volume radius.
Andreas Bier, Simon Unterstrasser, Josef Zink, Dennis Hillenbrand, Tina Jurkat-Witschas, and Annemarie Lottermoser
Atmos. Chem. Phys., 24, 2319–2344, https://doi.org/10.5194/acp-24-2319-2024, https://doi.org/10.5194/acp-24-2319-2024, 2024
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Using hydrogen as aviation fuel affects contrails' climate impact. We study contrail formation behind aircraft with H2 combustion. Due to the absence of soot emissions, contrail ice crystals are assumed to form only on ambient particles mixed into the plume. The ice crystal number, which strongly varies with temperature and aerosol number density, is decreased by more than 80 %–90 % compared to kerosene contrails. However H2 contrails can form at lower altitudes due to higher H2O emissions.
Prasanth Prabhakaran, Fabian Hoffmann, and Graham Feingold
Atmos. Chem. Phys., 24, 1919–1937, https://doi.org/10.5194/acp-24-1919-2024, https://doi.org/10.5194/acp-24-1919-2024, 2024
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In this study, we explore the impact of deliberate aerosol perturbation in the northeast Pacific region using large-eddy simulations. Our results show that cloud reflectivity is sensitive to the aerosol sprayer arrangement in the pristine system, whereas in the polluted system it is largely proportional to the total number of aerosol particles injected. These insights would aid in assessing the efficiency of various aerosol injection strategies for climate intervention applications.
Lisa Bock and Axel Lauer
Atmos. Chem. Phys., 24, 1587–1605, https://doi.org/10.5194/acp-24-1587-2024, https://doi.org/10.5194/acp-24-1587-2024, 2024
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Climate model simulations still show a large range of effective climate sensitivity (ECS) with high uncertainties. An important contribution to ECS is cloud climate feedback. We investigate the representation of cloud physical and radiative properties from Coupled Model Intercomparison Project models grouped by ECS. We compare the simulated cloud properties of today’s climate from three ECS groups and quantify how the projected changes in cloud properties and cloud radiative effects differ.
Leonie Villiger and Franziska Aemisegger
Atmos. Chem. Phys., 24, 957–976, https://doi.org/10.5194/acp-24-957-2024, https://doi.org/10.5194/acp-24-957-2024, 2024
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Three numerical simulations performed with an isotope-enabled weather forecast model are used to investigate the cloud–circulation coupling between shallow trade-wind cumulus clouds and atmospheric circulations on different scales. It is shown that stable water isotopes near cloud base in the tropics reflect (1) the diel cycle of the atmospheric circulation, which drives the formation and dissipation of clouds, and (2) changes in the large-scale circulation over the North Atlantic.
Cited articles
Abdul-Razzak, H., Ghan, S. J., and Rivera-Carpio, C.: A parameterization of
aerosol activation: 1. Single aerosol type, J. Geophys. Res., 103, 6123–6131, https://doi.org/10.1029/97jd03735, 1998.
Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness,
Science, 245, 1227–1230, 1989.
Andreae, M. and Rosenfeld, D.: Aerosol–cloud–precipitation interactions.
Part 1. The nature and sources of cloud-active aerosols, Earth-Sci. Rev., 89, 13–41, 2008.
Baker, M. B., Corbin, R. G., and Latham, J.: The influence of entrainment on
the evolution of cloud droplet spectra: I. A model of inhomogeneous mixing,
Q. J. Roy. Meteor. Soc., 106, 581–598, 1980.
Barros, A. P. and Lettenmaier, D. P.: Dynamic Modeling of
Orographically-Induced Precipitation, Rev. Geophys.,
32, 265–284, 1994.
Barros, A. P., Prat, O. P., and Shrestha, P.: Revisiting Low and List (1982);
Evaluation of Raindrop Collision Parameterizations Using Laboratory
Observations and Modeling, J. Atmos. Sci.,
65, 2983–2993, https://doi.org/10.1175/2008JAS2630.1, 2008.
Barros, A. P., Petersen, W., Schwaller, M., Cifelli, R., Mahoney, K.,
Peters-Liddard, C., Shepherd, M., Nesbitt, S., Wolff, D., Heymsfield, G., and
Starr, D.: NASA GPM-Ground Validation: Integrated Precipitation and Hydrology
Experiment 2014 Science Plan, Duke University, Durham, NC,
https://doi.org/10.7924/G8CC0XMR, 2014.
Barros, A. P., Shrestha, P., Chavez, S., and Duan, Y.: Modeling
aerosol–cloud-precipitation interactions in mountainous regions –
Challenges in the representation of indirect microphysical effects with
impacts at sub-regional scales, in: Atmospheric Chemistry, IntechBookOpen
(Pub.), https://doi.org/10.5772/intechopen.80025, 2018.
Beard, K. V.: Terminal velocity and shape of cloud and precipitation drops
aloft, J. Atmos. Sci., 33, 851–864, 1976.
Beard, K. V.: Terminal velocity adjustment for cloud and precipiattion drops
aloft, J. Atmos. Sci., 34, 1293–1298, 1977.
Beard, K. V. and Ochs, H. T.: Collection and coalescence efficiencies for
accretion, J. Geophys. Res., 89, 7165–7169, 1984.
Beard, K. V. and Ochs III, H. T.: Collisions between small precipitation
drops. Part II: Formulas for coalescence, temporary coalescence, and
satellites, J. Atmos. Sci, 52, 3977–3996, 1995.
Berry, E. X. and Reinhardt, R. L.: An analysis of cloud drop growth by
collection: Part I. Double distributions, J. Atmos.
Sci., 31, 1814–1824, 1974.
Best, A. C.: Empirical formulae for the terminal velocity of water drops
falling through the atmosphere, Q. J. Roy. Meteor. Soc., 76, 302–311, 1950.
Bott, A.: A flux method for the numerical solution of the stochastic
collection equation, J. Atmos. Sci., 55, 2284–2293,
1998.
Bott, A.: A flux method for the numerical solution of the stochastic
collection equation: Extension to two-dimensional particle distributions,
J. Atmos. Sci., 57, 284–294, 2000.
Box, G. E., Hunter, W. G., and Hunter, J. S.: Statistics for experimenters:
an introduction to design, data analysis, and model building, John Wiley &
Sons, Hoboken, NJ, USA, 1978.
Cash, J. R. and Karp, A. H.: A variable order Runge-Kutta method for initial
value problems with rapidly varying right-hand sides, ACM T.
Math. Software, 16, 201–222, 1990.
Chodes, N., Warner, J., and Gagin, A.: A determination of the condensation
coefficient of water from the growth rate of small cloud droplets, J. Atmos. Sci., 31, 1351–1357, 1974.
Christensen, S. I. and Petters, M. D.: The role of temperature in cloud
droplet activation, J. Phys. Chem. A, 116, 9706–9717, https://doi.org/10.1021/jp3064454, 2012.
Chuang, P. Y.: Measurement of the timescale of hygroscopic growth for
atmospheric aerosols, J. Geophys. Res., 108, 4282,
https://doi.org/10.1029/2002jd002757, 2003.
Conant, W. C., VanReken, T. M., Rissman, T. A., Varutbangkul, V., Jonsson, H.
H., Nenes, A., Jimenez, J. L., Delia, A. E., Bahreini, R., Roberts, G. C.,
Flagan, R. C., and Seinfeld, J. H.: aerosol–cloud drop concentration closure
in warm cumulus, J. Geophys. Res., 109, D13204,
https://doi.org/10.1029/2003jd004324, 2004.
Cooper, W. A., Bruintjes, R. T., and Mather, G. K.: Calculations pertaining
to hygroscopic seeding with flares, J. Appl. Meteorol., 36,
1449–1469, 1997.
De Wekker, S. F. J. and Kossmann, M.: Convective Boundary Layer Heights Over
Mountainous Terrain – A Review of Concepts, Front. Earth Sci., 3, 77,
https://doi.org/10.3389/feart.2015.00077, 2015
Duan, Y.: Mapping the Impact of aerosol–cloud Interactions on Cloud Formation
and Warm-season Rainfall in Mountainous Regions Using Observations and
Models, PhD disertation, Duke University, 305 pp., 2017.
Duan, Y. and Barros, A. P.: Understanding How Low-Level Clouds and Fog
Modify the Diurnal Cycle of Orographic Precipitation Using In Situ and
Satellite Observations, Remote Sens., 9, 920, https://doi.org/10.3390/rs9090920, 2017.
Duan, Y., Wilson, A. M., and Barros, A. P.: Scoping a field experiment: error
diagnostics of TRMM precipitation radar estimates in complex terrain as a
basis for IPHEx2014, Hydrol. Earth Syst. Sci., 19, 1501–1520,
https://doi.org/10.5194/hess-19-1501-2015, 2015.
Duan, Y., Petters, M. D., and Barros, A. P.: Understanding aerosol–cloud
interactions in the development of orographic cumulus congestus during IPHEx,
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-396, 2017.
Fan, J., Yuan, T., Comstock, J. M., Ghan, S., Khain, A., Leung, L. R., Li,
Z., Martins, V. J., and Ovchinnikov, M.: Dominant role by vertical wind shear
in regulating aerosol effects on deep convective clouds, J. Geophys. Res.,
114, D22206, https://doi.org/10.1029/2009jd012352, 2009.
Flossmann, A. I., Hall, W. D., and Pruppacher, H. R.: A theoretical study of
the wet removal of atmospheric pollutants. Part I: The redistribution of
aerosol particles captured through nucleation and impaction scavenging by
growing cloud drops, J. Atmos. Sci., 42, 583–606, 1985.
Fountoukis, C. and Nenes, A.: Continued development of a cloud droplet
formation parameterization for global climate models, J. Geophys. Res., 110, D11212, https://doi.org/10.1029/2004jd005591, 2005.
Fountoukis, C., Nenes, A., Meskhidze, N., Bahreini, R., Conant, W. C.,
Jonsson, H., Murphy, S., Sorooshian, A., Varutbangkul, V., Brechtel, F.,
Flagan, R. C., and Seinfeld, J. H.: Aerosol–cloud drop concentration closure
for clouds sampled during the International Consortium for Atmospheric
Research on Transport and Transformation 2004 campaign, J. Geophys. Res., 112, D10S30, https://doi.org/10.1029/2006jd007272, 2007.
Fukuta, N. and Myers, M. N.: Simultaneous Measurement of Condensation and Thermal Accommodation Coefficients for Cloud Droplet Growth in Due Consideration of a New Moving Surface-Boundary Effect, J. Atmos. Sci., 64, 955–968, https://doi.org/10.1175/jas3834.1, 2007.
Fukuta, N. and Walter, L.: Kinetics of hydrometeor growth from a vaper-spherical model, J. Atmos. Sci., 27, 1160–1172,
1970.
Garnier, J. P., Ehrhard, P., and Mirabel, P.: Water droplet growth study in a
continuous flow diffusion cloud chamber, Atmos. Res., 21, 41–51,
1987.
Gebremichael, M. and Barros, A.: Evaluation of MODIS Gross Primary
Productivity (GPP) in tropical monsoon regions, Remote Sens.
Environ., 100, 150–166, https://doi.org/10.1016/j.rse.2005.10.009, 2006.
Ghan, S. J., Abdul-Razzak, H., Nenes, A., Ming, Y., Liu, X., Ovchinnikov, M.,
Shipway, B., Meskhidze, N., Xu, J., and Shi, X.: Droplet nucleation:
Physically-based parameterizations and comparative evaluation, J. Adv. Model. Earth Syst., 3, M10001, https://doi.org/10.1029/2011ms000074, 2011.
Givati, A. and Rosenfeld, D.: Quantifying precipitation suppression due to
air pollution, J. Appl. Meteorol., 43, 1038–1056, 2004.
Guzel, H. and Barros, A. P.: Using Acoustic Emission Testing to Monitor
Kinetic Energy of Raindrop and Rainsplash Erosion, in: Soil
Erosion Research for the 21st Century, Proc. Int. Symp., 3–5 January 2001,
Honolulu, HI, USA, edited by: Ascough II, J. C. and Flanagan, D. C., St. Joseph, MI,
ASAE, 701P0007, 525–528, https://doi.org/10.13031/2013.4593, 2001.
Hagen, D. E., Schmitt, J., Trueblood, M., Carstens, J., White, D. R., and
Alofs, D. J.: Condensation coefficient measurement for water in the UMR cloud
simulation chamber, J. tmos. Sci., 46, 803–816, 1989.
Haywood, J. and Boucher, O.: Estimates of the direct and indirect radiative
forcing due to tropospheric aerosols: A review, Rev. Geophys., 38,
513, https://doi.org/10.1029/1999rg000078, 2000.
Hindmarsh, A. C.: ODEPACK, a systematized collection of ODE solvers,
Scientific Computing, edited by: Stepleman, R., North-Holland, New York,
1983.
Hu, Z. and Srivastava, R. C.: Evolution of raindrop size distribution by
coalescence, breakup, and evaporation: Theory and observations, J. Atmos. Sci., 52, 1761–1783, 1995.
Jacobson, M. Z.: Fundamentals of atmospheric modeling, 2nd edn., Cambridge
University Press, New York, NY, USA, 2005.
Jacobson, M. Z. and Turco, R. P.: SMVGEAR: A sparse-matrix, vectorized Gear
code for atmospheric models, Atmos. Environ., 28, 273–284, 1994.
Jacobson, M. Z. and Turco, R. P.: Simulating Condensational Growth,
Evaporation, and Coagulation of Aerosols Using a Combined Moving and
Stationary Size Grid, Aerosol Sci. Technol., 22, 73–92,
https://doi.org/10.1080/02786829408959729, 1995.
Jacobson, M. Z., Turco, R. P., Jensen, E. J., and Toon, O. B.: Modeling
coagulation among particles of different composition and size, Atmos.
Environ., 28, 1327–1338, 1994.
Jaenicke, R.: Tropospheric aerosols, in: aerosol–cloud-climate interactions,
edited by: Hobbs, P. V., Academic Press, San Diego, CA, USA, 1–31, 1993.
Jiang, J. H., Su, H., Schoeberl, M. R., Massie, S. T., Colarco, P., Platnick,
S., and Livesey, N. J.: Clean and polluted clouds: Relationships among
pollution, ice clouds, and precipitation in South America, Geophys. Res. Lett., 35, L14804, https://doi.org/10.1029/2008gl034631, 2008.
Kerkweg, A., Wurzler, S., Reisin, T., and Bott, A.: On the cloud processing
of aerosol particles: An entraining air-parcel model with two-dimensional
spectral cloud microphysics and a new formulation of the collection kernel,
Q. J. Roy. Meteor. Soc., 129, 1–18,
https://doi.org/10.1256/qj.02.52, 2003.
Khain, A., Ovtchinnikov, M., Pinsky, M., Pokrovsky, A., and Krugliak, H.:
Notes on the state-of-the-art numerical modeling of cloud microphysics,
Atmos. Res., 55, 159–224, 2000.
Khain, A., Rosenfeld, D., and Pokrovsky, A.: Aerosol impact on the dynamics
and microphysics of deep convective clouds, Q. J. Roy.
Meteor. Soc., 131, 2639–2663, 2005.
Khain, A. P. and Pinsky, M. B.: Turbulence effects on the collision kernel. II: Increase of the swept volume of colliding drops, Q. J. Roy. Meteor. Soc., 123, 1543–1560, 1997.
Khairoutdinov, M., Randall, D., and DeMott, C.: Simulations of the
atmospheric general circulation using a cloud-resolving model as a
superparameterization of physical processes, J. Atmos. Sci., 62, 2136–2154, 2005.
Kokhanovsky, A. and de Leeuw, G.: Satellite Aerosol Remote Sensing Over
Land, Environmental Sciences, Springer-Verlag Berlin Heidelberg, 2009.
Koren, I., Martins, J. V., Remer, L. A., and Afargan, H.: Smoke invigoration
versus inhibition of clouds over the Amazon, Science, 321, 946–949,
https://doi.org/10.1126/science.1159185, 2008.
Korolev, A. V. and Mazin, I. P.: Supersaturation of Water Vapor in Clouds, J. Atmos. Sci., 60, 2957–2974, 2003.
Kovetz, A. and Olund, B.: The effect of coalescence and condensation on rain
formation in a cloud of finite vertical extent, J. Atmos.
Sci., 26, 1060–1065, 1969.
Kreidenweis, S. M., Walcek, C. J., Feingold, G., Gong, W., Jacobson, M. Z.,
Kim, C. H., Liu, X., Penner, J. E., Nenes, A., and Seinfeld, J. H.:
Modification of aerosol mass and size distribution due to aqueous-phase SO2
oxidation in clouds: Comparisons of several models, J. Geophys. Res., 108, 4213, https://doi.org/10.1029/2002JD002697, 2003.
Krueger, S. K., Su, C. W., and McMurtry, P. A.: Modeling entrainment and
finescale mixing in cumulus clouds, J. Atmos. Sci., 54,
2697–2712, 1997.
Kuba, N. and Fujiyoshi, Y.: Development of a cloud microphysical model and
parameterizations to describe the effect of CCN on warm cloud, Atmos. Chem.
Phys., 6, 2793–2810, https://doi.org/10.5194/acp-6-2793-2006, 2006.
Kumar, S. and Ramkrishna, D.: On the solution of population balance equations
by discretization – I. A fixed pivot technique, Chem. Eng. Sci., 51,
1311–1332, 1996.
Lance, S., Brock, C. A., Rogers, D., and Gordon, J. A.: Water droplet
calibration of the Cloud Droplet Probe (CDP) and in-flight performance in
liquid, ice and mixed-phase clouds during ARCPAC, Atmos. Meas. Tech., 3,
1683–1706, https://doi.org/10.5194/amt-3-1683-2010, 2010.
Leaitch, W. R., Strapp, J. W., Isaac, G. A., and Hudson, J. G.: Cloud droplet
nucleation and cloud scavenging of aerosol sulphate in polluted atmospheres,
Tellus B, 38, 328–344, 1986.
Leroy, D., Wobrock, W., and Flossmann, A. I.: The role of boundary layer
aerosol particles for the development of deep convective clouds: A
high-resolution 3D model with detailed (bin) microphysics applied to
CRYSTAL-FACE, Atmos. Res., 91, 62–78,
https://doi.org/10.1016/j.atmosres.2008.06.001, 2009.
Link, M., Zhou, Y., Taubman, B., Sherman, J., Morrow, H., Krintz, I.,
Robertson, L., Cook, R., Stocks, J., West, M., and Sive, B. C.: A
characterization of volatile organic compounds and secondary organic aerosol
at a mountain site in the Southeastern United States, J. Atmos. Chem., 72,
81–104, https://doi.org/10.1007/s10874-015-9305-5, 2015.
Lohmann, U. and Feichter, J.: Global indirect aerosol effects: a review,
Atmos. Chem. Phys., 5, 715–737, https://doi.org/10.5194/acp-5-715-2005, 2005.
Low, T. B. and List, R.: Collision, coalescence and breakup of raindrops.
Part I: Experimentally established coalescence efficiencies and fragment size
distributions in breakup, J. Atmos. Sci., 39, 1591–1606,
1982.
Lowenthal, D., Zielinska, B., Mason, B., Samy, S., Samburova, V., Collins,
D., Spencer, C., Taylor, N., Allen, J., and Kumar, N.: Aerosol
characterization studies at Great Smoky Mountains National Park, summer 2006,
J. Geophys. Res,, 114, D08206, https://doi.org/10.1029/2008jd011274, 2009.
Lynn, B., Khain, A., Rosenfeld, D., and Woodley, W. L.: Effects of aerosols
on precipitation from orographic clouds, J. Geophys. Res., 112, D10225,
https://doi.org/10.1029/2006JD007537, 2007.
Marek, R. and Straub, J.: Analysis of the evaporation coefficient and the
condensation coefficient of water, Int. J. Heat Mass Tran., 44, 39–53, 2001.
McCarthy, J.: Field verification of the relationship between entrainment rate
and cumulus cloud diameter, J. Atmos. Sci., 31,
1028–1039, 1974.
McFiggans, G., Artaxo, P., Baltensperger, U., Coe, H., Facchini, M. C., Feingold, G., Fuzzi, S., Gysel, M., Laaksonen, A., Lohmann, U., Mentel, T. F., Murphy, D. M.,
O'Dowd, C. D., Snider, J. R., and Weingartner, E.: The effect of physical and chemical aerosol properties on warm cloud droplet activation, Atmos. Chem. Phys., 6, 2593–2649, https://doi.org/10.5194/acp-6-2593-2006, 2006.
Meskhidze, N., Nenes, A., Conant, W. C., and Seinfeld, J. H.: Evaluation of a
new cloud droplet activation parameterization with in situ data from
CRYSTAL-FACE and CSTRIPE, J. Geophys. Res., 110, D16202, https://doi.org/10.1029/2004JD005703, 2005.
Morton, B. R.: Buoyant plumes in a moist atmosphere, J. Fluid
Mech., 2, 127–144, 1957.
Muhlbauer, A. and Lohmann, U.: Sensitivity studies of the role of aerosols
in warm-phase orographic precipitation in different dynamical flow regimes,
J. Atmos. Sci., 65, 2522–2542, 2008.
Muhlbauer, A., Hashino, T., Xue, L., Teller, A., Lohmann, U., Rasmussen, R. M., Geresdi, I., and Pan, Z.: Intercomparison
of aerosol–cloud–precipitation interactions in stratiform orographic mixed-phase clouds, Atmos. Chem. Phys., 10, 8173–8196, https://doi.org/10.5194/acp-10-8173-2010, 2010.
Nenes, A., Ghan, S., Abdul-Razzak, H., Chuang, P. Y., and Seinfeld, J. H.:
Kinetic limitations on cloud droplet formation and impact on cloud albedo,
Tellus B, 53, 133–149, 2001.
Nenes, A., Charlson, R. J., Facchini, M. C., Kulmala, M., Laaksonen, A., and
Seinfeld, J. H.: Can chemical effects on cloud droplet number rival the first
indirect effect?, Geophys. Res. Lett., 29, 1848,
https://doi.org/10.1029/2002gl015295, 2002.
Nguyen, T. K. V., Petters, M. D., Suda, S. R., Guo, H., Weber, R. J., and Carlton, A. G.: Trends in particle-phase liquid water during the Southern
Oxidant and Aerosol Study, Atmos. Chem. Phys., 14, 10911–10930, https://doi.org/10.5194/acp-14-10911-2014, 2014.
Nugent, A. D., Watson, C. D., Thompson, G., and Smith, R. B.: Aerosol Impacts
on Thermally Driven Orographic Convection, J. Atmos. Sci., 73, 3115–3132, https://doi.org/10.1175/jas-d-15-0320.1, 2016.
Paluch, I. R.: The entrainment mechanism in Colorado cumuli, J. Atmos. Sci., 36, 2467–2478, 1979.
Petersen, W. and Barros, A.: GPM Ground Validation Integrated Precipitation
and Hydrology Experiment (IPHEx) Field Campaign Data Collection, NASA EOSDIS
Global Hydrology Resource Center Distributed Active Archive Center
Huntsville, Alabama, USA, https://doi.org/10.5067/GPMGV/IPHEX/DATA101, 2018.
Petters, M. D. and Kreidenweis, S. M.: A single parameter representation of hygroscopic growth and cloud condensation nucleus activity, Atmos. Chem. Phys., 7, 1961–1971, https://doi.org/10.5194/acp-7-1961-2007, 2007.
Petters, M. D., Carrico, C. M., Kreidenweis, S. M., Prenni, A. J., DeMott, P.
J., Collett, J. L., and Moosmüller, H.: Cloud condensation nucleation
activity of biomass burning aerosol, J. Geophys. Res., 114, D22205,
https://doi.org/10.1029/2009jd012353, 2009.
Petters, S. S. and Petters, M. D.: Surfactant effect on cloud condensation
nuclei for two-component internally mixed aerosols, J. Geophys. Res.-Atmos.,
121, 1878–1895, https://doi.org/10.1002/2015JD024090, 2016.
Pinsky, M., Khain, A., and Shapiro, M.: Collisions of small drops in a
turbulent flow. Part I: Collision efficiency. Problem formulation and
preliminary results, J. Atmos. Sci., 56, 2585–2600,
1999.
Pinsky, M., Khain, A., and Shapiro, M.: Stochastic effects of cloud droplet
hydrodynamic interaction in a turbulent flow, Atmos. Res., 53,
131–169, 2000.
Pinsky, M., Khain, A., and Shapiro, M.: Collision efficiency of drops in a
wide range of Reynolds numbers: Effects of pressure on spectrum evolution,
J. Atmos. Sci., 58, 742–764, 2001.
Pinsky, M., Khain, A., and Krugliak, H.: Collisions of Cloud Droplets in a
Turbulent Flow. Part V: Application of Detailed Tables of Turbulent Collision
Rate Enhancement to Simulation of Droplet Spectra Evolution, J. Atmos. Sci., 65, 357–374, https://doi.org/10.1175/2007jas2358.1, 2008.
Pinsky, M., Mazin, I. P., Korolev, A., and Khain, A.: Supersaturation and
Diffusional Droplet Growth in Liquid Clouds, J. Atmos. Sci., 70, 2778–2793, https://doi.org/10.1175/jas-d-12-077.1, 2013.
Pinsky, M. B. and Khain, A. P.: Effects of in-cloud nucleation and
turbulence on droplet spectrum formation in cumulus clouds, Q. J. Roy. Meteor. Soc., 128, 501–534, 2002.
Poellot, M.: GPM Ground Validation UND Citation Cloud Microphysics IPHEx,
Dataset, NASA Global Hydrology Resource Center Distributed Active Archive
Center, Huntsville, Alabama, USA, https://doi.org/10.5067/GPMGV/IPHEX/DATA101, 2015.
Prat, O. P. and Barros, A. P.: A Robust Numerical Solution of the Stochastic
Collection–Breakup Equation for Warm Rain, J. Appl. Meteorol. Clim., 46, 1480–1497, https://doi.org/10.1175/jam2544.1, 2007a.
Prat, O. P. and Barros, A. P.: Exploring the use of a column model for the characterization of microphysical processes in warm rain:
results from a homogeneous rainshaft model, Adv. Geosci., 10, 145–152, https://doi.org/10.5194/adgeo-10-145-2007, 2007b.
Prat, O. P., Barros, A. P., and Testik, F. Y.: On the Influence of Raindrop
Collision Outcomes on Equilibrium Drop Size Distributions, J. Atmos. Sci., 69, 1534–1546, https://doi.org/10.1175/jas-d-11-0192.1, 2012.
Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P.:
Numerical Recipes: The art of scientific computing, 3rd edn., Cambridge
University Press, Cambridge, MA, USA, 2007.
Pringle, K. J., Tost, H., Pozzer, A., Pöschl, U., and Lelieveld, J.:
Global distribution of the effective aerosol hygroscopicity parameter for CCN
activation, Atmos. Chem. Phys., 10, 5241–5255,
https://doi.org/10.5194/acp-10-5241-2010, 2010.
Pruppacher, H. R. and Klett, J. D.: Microphysics of Clouds and
Precipitation, Springer, Netherlands, 1978.
Pruppacher, H. R. and Klett, J. D.: Microphysics of Clouds and Precipitation,
Atmos. Oceanogr. Sci. Libr., Kulwer Academic Publishers, Alphen aan den Rijn,
The Netherlands, 1997.
Ramanathan, V., Crutzen, P., Kiehl, J., and Rosenfeld, D.: Aerosols, climate,
and the hydrological cycle, Science, 294, 2119–2124, 2001.
Randall, D., Khairoutdinov, M., Arakawa, A., and Grabowski, W.: Breaking the
Cloud Parameterization Deadlock, B. Am. Meteorol.
Soc., 84, 1547–1564, https://doi.org/10.1175/bams-84-11-1547, 2003.
Rosenfeld, D., Lohmann, U., Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi,
S., Reissell, A., and Andreae, M. O.: Flood or drought: how do aerosols
affect precipitation?, Science, 321, 1309–1313, https://doi.org/10.1126/science.1160606,
2008.
Scorer, R. S. and Ludlam, F.: Bubble theory of penetrative convection,
Q. J. Roy. Meteor. Soc., 79, 94–103, 1953.
Seifert, A., Khain, A., Blahak, U., and Beheng, K. D.: Possible effects of
collisional breakup on mixed-phase deep convection simulated by a spectral
(bin) cloud model, J. Atmos. Sci., 62, 1917–1931, 2005.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric chemistry and physics, John
Wiley, New York, 1998.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics: From
Air Pollution to Climate Change, 2nd edn., Wiley, New York, NY, USA, 2006.
Shaw, R. A. and Lamb, D.: Experimental determination of the thermal
accommodation and condensation coefficients of water, J. Chem.
Phys., 111, 10659–10663, https://doi.org/10.1063/1.480419, 1999.
Simmel, M., Diehl, K., and Wurzler, S.: Numerical simulation of the
microphysics of an orographic cloud: Comparison with measurements and
sensitivity studies, Atmos. Environ., 39, 4365–4373,
https://doi.org/10.1016/j.atmosenv.2005.02.017, 2005.
Snider, J. R., Guibert, S., Brenguier, J. L., and Putaud, J. P.: Aerosol
activation in marine stratocumulus clouds: 2. Köhler and parcel theory
closure studies, J. Geophys. Res., 108, 8629,
https://doi.org/10.1029/2002jd002692, 2003.
Squires, P. and Turner, J. S.: An entraining jet model for cumulo-nimbus
updraughts, Tellus A, 14, 422–434, 1962.
Tao, W.-K., Chen, J.-P., Li, Z., Wang, C., and Zhang, C.: Impact of aerosols
on convective clouds and precipitation, Rev. Geophys., 50, RG2001,
https://doi.org/10.1029/2011rg000369, 2012.
Telford, J. W. and Chai, S. K.: A new aspect of condensation theory, Pure Appl. Geophys., 118, 720–742, 1980.
Telford, J. W., Keck, T. S., and Chai, S. K.: Entrainment at cloud tops and
the droplet spectra, J. Atmos. Sci., 41, 3170–3179,
1984.
Testik, F. Y., Barros, A. P., and Bliven, L. F.: Toward a Physical
Characterization of Raindrop Collision Outcome Regimes, J. Atmos. Sci., 68, 1097–1113, https://doi.org/10.1175/2010jas3706.1, 2011.
Turner, J. S.: The motion of buoyant elements in turbulent surroundings, J. Fluid Mech., 16, 1–16, 1963.
Twomey, S.: The influence of pollution on the shortwave albedo of clouds,
J. Atmos. Sci., 34, 1149–1152, 1977.
Warner, J.: The Microstructure of Cumulus Cloud. Part II. The Effect on
Droplet Size Distribution of the Cloud Nucleus Spectrum and Updraft Velocity,
J. Atmos. Sci., 26, 1272–1282, 1969.
Wilson, A. M. and Barros, A. P.: An Investigation of Warm Rainfall
Microphysics in the Southern Appalachians: Orographic Enhancement via
Low-Level Seeder–Feeder Interactions, J. Atmos. Sci., 71, 1783–1805,
https://doi.org/10.1175/jas-d-13-0228.1, 2014.
Wilson, A. M. and Barros, A. P.: Landform controls on low level moisture
convergence and the diurnal cycle of warm season orographic rainfall in the
Southern Appalachians, J. Hydrol., 531, 475–493,
https://doi.org/10.1016/j.jhydrol.2015.10.068, 2015.
Wilson, A. M. and Barros, A. P.: Orographic Land-Atmosphere Interactions and
the Diurnal Cycle of Low Level Clouds and Fog, J. Hydrometeorol., 18,
1513–1533, https://doi.org/10.1175/jhm-d-16-0186.1, 2017.
Yang, Y., Fan, J., Leung, L. R., Zhao, C., Li, Z., and Rosenfeld, D.:
Mechanisms Contributing to Suppressed Precipitation in Mt. Hua of Central
China. Part I: Mountain Valley Circulation, J. Atmos. Sci., 73, 1351–1366,
https://doi.org/10.1175/jas-d-15-0233.1, 2016.
Yildiz, O. and Barros, A. P.: Elucidating vegetation controls on the
hydroclimatology of a mid-latitude basin, J. Hydrol., 333, 431–448,
https://doi.org/10.1016/j.jhydrol.2006.09.010, 2007.
Zou, Y. S. and Fukuta, N.: The effect of diffusion kinetics on the
supersaturation in clouds, Atmos. Res., 52, 115–141, 1999.
Short summary
A new cloud parcel model that simulates entrainment, condensational growth, and collision–coalescence processes is presented and evaluated against airborne observations in complex terrain during IPHEx. Analysis of model simulations reveals that nonlinear interactions among turbulent dispersion, activation, and droplet growth processes modulate spectral width and explain the emergence of bimodal cloud drop spectra in aircraft measurements from different cloud regions and at different heights.
A new cloud parcel model that simulates entrainment, condensational growth, and...
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