Articles | Volume 19, issue 16
https://doi.org/10.5194/acp-19-10717-2019
© 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-19-10717-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Aug 2019
Research article |
| 26 Aug 2019
| 26 Aug 2019
Core and margin in warm convective clouds – Part 1: Core types and evolution during a cloud's lifetime
Reuven H. Heiblum
Department of Earth and Planetary Sciences, Weizmann Institute of
Science, Rehovot, Israel
Lital Pinto
Department of Earth and Planetary Sciences, Weizmann Institute of
Science, Rehovot, Israel
Orit Altaratz
Department of Earth and Planetary Sciences, Weizmann Institute of
Science, Rehovot, Israel
Guy Dagan
Department of Earth and Planetary Sciences, Weizmann Institute of
Science, Rehovot, Israel
now at: Atmospheric, Oceanic and Planetary Physics, Department of
Physics, University of Oxford, Oxford, UK
Department of Earth and Planetary Sciences, Weizmann Institute of
Science, Rehovot, Israel
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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).
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Atmos. Chem. Phys., 22, 15767–15775, https://doi.org/10.5194/acp-22-15767-2022, https://doi.org/10.5194/acp-22-15767-2022, 2022
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Matthew W. Christensen, Andrew Gettelman, Jan Cermak, Guy Dagan, Michael Diamond, Alyson Douglas, Graham Feingold, Franziska Glassmeier, Tom Goren, Daniel P. Grosvenor, Edward Gryspeerdt, Ralph Kahn, Zhanqing Li, Po-Lun Ma, Florent Malavelle, Isabel L. McCoy, Daniel T. McCoy, Greg McFarquhar, Johannes Mülmenstädt, Sandip Pal, Anna Possner, Adam Povey, Johannes Quaas, Daniel Rosenfeld, Anja Schmidt, Roland Schrödner, Armin Sorooshian, Philip Stier, Velle Toll, Duncan Watson-Parris, Robert Wood, Mingxi Yang, and Tianle Yuan
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Eshkol Eytan, Ilan Koren, Orit Altaratz, Mark Pinsky, and Alexander Khain
Atmos. Chem. Phys., 21, 16203–16217, https://doi.org/10.5194/acp-21-16203-2021, https://doi.org/10.5194/acp-21-16203-2021, 2021
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Tom Dror, Mickaël D. Chekroun, Orit Altaratz, and Ilan Koren
Atmos. Chem. Phys., 21, 12261–12272, https://doi.org/10.5194/acp-21-12261-2021, https://doi.org/10.5194/acp-21-12261-2021, 2021
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A part of continental shallow convective cumulus (Cu) was shown to share properties such as organization and formation over vegetated areas, thus named green Cu. Mechanisms behind the formed patterns are not understood. We use different metrics and an empirical orthogonal function (EOF) to decompose the dataset and quantify organization factors (cloud streets and gravity waves). We show that clouds form a highly organized grid structure over hundreds of kilometers at the field lifetime.
Tom Dror, J. Michel Flores, Orit Altaratz, Guy Dagan, Zev Levin, Assaf Vardi, and Ilan Koren
Atmos. Chem. Phys., 20, 15297–15306, https://doi.org/10.5194/acp-20-15297-2020, https://doi.org/10.5194/acp-20-15297-2020, 2020
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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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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.
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).
Guy Dagan, Ilan Koren, and Orit Altaratz
Atmos. Chem. Phys., 18, 6761–6769, https://doi.org/10.5194/acp-18-6761-2018, https://doi.org/10.5194/acp-18-6761-2018, 2018
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In this paper we distill the problem of aerosol–cloud interactions to an interplay between the system's two characteristic vertical velocities, i.e., the air vertical velocity and the collective droplets fall velocity. We show using theoretical considerations and cloud-resolving models that the relations between the two velocities are extremely sensitive to the cloud field's thermodynamics and microphysical properties.
Yevgeny Derimian, Marie Choël, Yinon Rudich, Karine Deboudt, Oleg Dubovik, Alexander Laskin, Michel Legrand, Bahaiddin Damiri, Ilan Koren, Florin Unga, Myriam Moreau, Meinrat O. Andreae, and Arnon Karnieli
Atmos. Chem. Phys., 17, 11331–11353, https://doi.org/10.5194/acp-17-11331-2017, https://doi.org/10.5194/acp-17-11331-2017, 2017
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We present influence of daily occurrence of the sea breeze flow from the Mediterranean Sea on physicochemical and optical properties of atmospheric aerosol deep inland in the Negev Desert of Israel. Sampled airborne dust was found be internally mixed with sea-salt particles and reacted with anthropogenic pollution, which makes the dust highly hygroscopic and a liquid coating of particles appears. These physicochemical transformations are associated with a change in aerosol radiative properties.
Qian Chen, Ilan Koren, Orit Altaratz, Reuven H. Heiblum, Guy Dagan, and Lital Pinto
Atmos. Chem. Phys., 17, 9585–9598, https://doi.org/10.5194/acp-17-9585-2017, https://doi.org/10.5194/acp-17-9585-2017, 2017
Guy Dagan, Ilan Koren, Orit Altaratz, and Reuven H. Heiblum
Atmos. Chem. Phys., 17, 7435–7444, https://doi.org/10.5194/acp-17-7435-2017, https://doi.org/10.5194/acp-17-7435-2017, 2017
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Large eddy simulations with bin microphysics are used to study cloud fields' sensitivity to changes in aerosol loading and the time evolution of this response. We show that the mean field properties change with a non-monotonic trend, with an optimum aerosol concentration for which the field reaches its maximal water mass or rain yield. The evolution of the mean thermodynamic properties is studied and shown to cause the migration of the optimal aerosol concentration toward higher values.
Yaniv Tubul, Ilan Koren, Orit Altaratz, and Reuven H. Heiblum
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-121, https://doi.org/10.5194/amt-2017-121, 2017
Revised manuscript not accepted
Chandan Sarangi, Sachchida Nand Tripathi, Vijay P. Kanawade, Ilan Koren, and D. Sivanand Pai
Atmos. Chem. Phys., 17, 5185–5204, https://doi.org/10.5194/acp-17-5185-2017, https://doi.org/10.5194/acp-17-5185-2017, 2017
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Aerosol-induced perturbations in cloud systems and rainfall are very uncertain. This study provides observational evidence of a robust positive association between aerosol–cloud–rainfall properties over the Indian summer monsoon region. Observed and modeled aerosol–cloud microphysical changes illustrate that cloud invigoration under a high AOD scenario can explain most of the aerosol-associated changes in cloud fraction, cloud top pressure, and surface rainfall over this region.
Y. Tubul, I. Koren, and O. Altaratz
Earth Syst. Dynam., 6, 781–788, https://doi.org/10.5194/esd-6-781-2015, https://doi.org/10.5194/esd-6-781-2015, 2015
Y. Ben Ami, O. Altaratz, Y. Yair, and I. Koren
Nat. Hazards Earth Syst. Sci., 15, 2449–2459, https://doi.org/10.5194/nhess-15-2449-2015, https://doi.org/10.5194/nhess-15-2449-2015, 2015
S. Fuzzi, U. Baltensperger, K. Carslaw, S. Decesari, H. Denier van der Gon, M. C. Facchini, D. Fowler, I. Koren, B. Langford, U. Lohmann, E. Nemitz, S. Pandis, I. Riipinen, Y. Rudich, M. Schaap, J. G. Slowik, D. V. Spracklen, E. Vignati, M. Wild, M. Williams, and S. Gilardoni
Atmos. Chem. Phys., 15, 8217–8299, https://doi.org/10.5194/acp-15-8217-2015, https://doi.org/10.5194/acp-15-8217-2015, 2015
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Particulate matter (PM) constitutes one of the most challenging problems both for air quality and climate change policies. This paper reviews the most recent scientific results on the issue and the policy needs that have driven much of the increase in monitoring and mechanistic research over the last 2 decades. The synthesis reveals many new processes and developments in the science underpinning climate-PM interactions and the effects of PM on human health and the environment.
G. Feingold, I. Koren, T. Yamaguchi, and J. Kazil
Atmos. Chem. Phys., 15, 7351–7367, https://doi.org/10.5194/acp-15-7351-2015, https://doi.org/10.5194/acp-15-7351-2015, 2015
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Most research on the relationship between aerosol and closed/open cell transitions tends to focus on the closed to open transition. Here we address the two-way transition between closed and open cellular states using a cloud resolving model. We find inherent asymmetry in the transitions and explain the source of the asymmetry. Results are supported by a dynamical system analogue to the full system.
G. Dagan, I. Koren, and O. Altaratz
Atmos. Chem. Phys., 15, 2749–2760, https://doi.org/10.5194/acp-15-2749-2015, https://doi.org/10.5194/acp-15-2749-2015, 2015
E. Tas, A. Teller, O. Altaratz, D. Axisa, R. Bruintjes, Z. Levin, and I. Koren
Atmos. Chem. Phys., 15, 2009–2017, https://doi.org/10.5194/acp-15-2009-2015, https://doi.org/10.5194/acp-15-2009-2015, 2015
G. Snider, C. L. Weagle, R. V. Martin, A. van Donkelaar, K. Conrad, D. Cunningham, C. Gordon, M. Zwicker, C. Akoshile, P. Artaxo, N. X. Anh, J. Brook, J. Dong, R. M. Garland, R. Greenwald, D. Griffith, K. He, B. N. Holben, R. Kahn, I. Koren, N. Lagrosas, P. Lestari, Z. Ma, J. Vanderlei Martins, E. J. Quel, Y. Rudich, A. Salam, S. N. Tripathi, C. Yu, Q. Zhang, Y. Zhang, M. Brauer, A. Cohen, M. D. Gibson, and Y. Liu
Atmos. Meas. Tech., 8, 505–521, https://doi.org/10.5194/amt-8-505-2015, https://doi.org/10.5194/amt-8-505-2015, 2015
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We have initiated a global network of ground-level monitoring stations to measure concentrations of fine aerosols in urban environments. Our findings include major ions species, total mass, and total scatter at three wavelengths. Results will be used to further evaluate and enhance satellite remote sensing estimates.
E. Hirsch, I. Koren, Z. Levin, O. Altaratz, and E. Agassi
Atmos. Chem. Phys., 14, 9001–9012, https://doi.org/10.5194/acp-14-9001-2014, https://doi.org/10.5194/acp-14-9001-2014, 2014
A. K. Mishra, K. Klingmueller, E. Fredj, J. Lelieveld, Y. Rudich, and I. Koren
Atmos. Chem. Phys., 14, 7213–7231, https://doi.org/10.5194/acp-14-7213-2014, https://doi.org/10.5194/acp-14-7213-2014, 2014
R. H. Heiblum, I. Koren, and G. Feingold
Atmos. Chem. Phys., 14, 6063–6074, https://doi.org/10.5194/acp-14-6063-2014, https://doi.org/10.5194/acp-14-6063-2014, 2014
G. Feingold and I. Koren
Nonlin. Processes Geophys., 20, 1011–1021, https://doi.org/10.5194/npg-20-1011-2013, https://doi.org/10.5194/npg-20-1011-2013, 2013
E. Hirsch, I. Koren, O. Altaratz, Z. Levin, and E. Agassi
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acpd-13-28729-2013, https://doi.org/10.5194/acpd-13-28729-2013, 2013
Revised manuscript not accepted
Related subject area
Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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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.
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.
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 %.
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.
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.
Andrew DeLaFrance, Lynn McMurdie, Angela Rowe, and Andrew Heymsfield
EGUsphere, https://doi.org/10.5194/egusphere-2024-1480, https://doi.org/10.5194/egusphere-2024-1480, 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 to measurements from air- and spaceborne platforms.
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.
Alexei Korolev, Zhipeng Qu, Jason Milbrandt, Ivan Heckman, Mélissa Cholette, Mengistu Wolde, Cuong Nguyen, Greg McFarquhar, Paul Lawson, and Ann Fridlind
EGUsphere, https://doi.org/10.5194/egusphere-2024-1465, https://doi.org/10.5194/egusphere-2024-1465, 2024
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The phenomenon of high ice water content (HIWC) occurs in mesoscale convective systems (MCS) when a large number of small ice particles with typical sizes of a few hundred micrometers are found at high altitudes. This study presents a conceptual model of the formation of HIWC in tropical MCSs developed based on in-situ observations and numerical simulation. 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.
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.
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.
Ravi Kumar Reddy Addula, Ingrid de Almeida Ribeiro, Valeria Molinero, and Baron Peters
EGUsphere, https://doi.org/10.26434/chemrxiv-2024-1vkn7, https://doi.org/10.26434/chemrxiv-2024-1vkn7, 2024
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Ice nucleation from supercooled droplets is important in many weather and climate modelling 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.
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.
Mathieu Lachapelle, Mélissa Cholette, and Julie M. Thériault
EGUsphere, https://doi.org/10.5194/egusphere-2024-594, https://doi.org/10.5194/egusphere-2024-594, 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 the Predicted Particles 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 measured.
Andrea Mosso, Thomas Hocking, and Thorsten Mauritsen
EGUsphere, https://doi.org/10.5194/egusphere-2024-618, https://doi.org/10.5194/egusphere-2024-618, 2024
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Clouds play a crucial role in the energy balance of the earth, as they can either warm up or cool down the area they cover depending on their height and depth. It is expected that they will alter their behaviour under climate change, which will affect the warming generated by greenhouse gases. This paper proposes a new method to estimate their overall effect by simulating a climate where clouds are transparent. Results show that, with the model used, clouds have a stabilising effect on climate.
Puja Roy, Robert M. Rauber, and Larry Di Girolamo
EGUsphere, https://doi.org/10.5194/egusphere-2024-526, https://doi.org/10.5194/egusphere-2024-526, 2024
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Cloud droplet temperature impacts cloud processes such as activation of ice-nucleating particles. This study investigates the thermal and radial evolution of supercooled cloud droplets and their surrounding environments, with an aim to better understand observed enhancement of ice nucleation at moderately supercooled cloud edges. This analysis shows that the magnitude of droplet cooling during evaporation is much greater than estimated from past studies, especially for drier environments.
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.
Toshi Matsui, Daniel Hernandez-Deckers, Scott Giangrande, Thiago Biscaro, Ann Fridlind, and Scott Braun
EGUsphere, https://doi.org/10.5194/egusphere-2024-3, https://doi.org/10.5194/egusphere-2024-3, 2024
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Using computer simulations and real measurements, we discovered that during the dry periods, storms were narrower but more intense, 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 how continental and ocean environments affect tropical regions' rainfall patterns.
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.
Renaud Falga and Chien Wang
Atmos. Chem. Phys., 24, 631–647, https://doi.org/10.5194/acp-24-631-2024, https://doi.org/10.5194/acp-24-631-2024, 2024
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The impact of urban land use on regional meteorology and rainfall during the Indian summer monsoon has been assessed in this study. Using a cloud-resolving model centered around Kolkata, we have shown that the urban heat island effect led to a rainfall enhancement via the amplification of convective activity, especially during the night. Furthermore, the results demonstrated that the kinetic effect of the city induced the initiation of a nighttime storm.
Dario Sperber and Klaus Gierens
Atmos. Chem. Phys., 23, 15609–15627, https://doi.org/10.5194/acp-23-15609-2023, https://doi.org/10.5194/acp-23-15609-2023, 2023
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A significant share of aviation's climate impact is due to persistent contrails. Avoiding their creation is a step toward sustainable air transportation. For this purpose, a reliable forecast of so-called ice-supersaturated regions is needed, which then allows one to plan aircraft routes without persistent contrails. Here, we propose a method that leads to the better prediction of ice-supersaturated regions.
Blaž Gasparini, Sylvia C. Sullivan, Adam B. Sokol, Bernd Kärcher, Eric Jensen, and Dennis L. Hartmann
Atmos. Chem. Phys., 23, 15413–15444, https://doi.org/10.5194/acp-23-15413-2023, https://doi.org/10.5194/acp-23-15413-2023, 2023
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Tropical cirrus clouds are essential for climate, but our understanding of these clouds is limited due to their dependence on a wide range of small- and large-scale climate processes. In this opinion paper, we review recent advances in the study of tropical cirrus clouds, point out remaining open questions, and suggest ways to resolve them.
Leonie Villiger, Marina Dütsch, Sandrine Bony, Marie Lothon, Stephan Pfahl, Heini Wernli, Pierre-Etienne Brilouet, Patrick Chazette, Pierre Coutris, Julien Delanoë, Cyrille Flamant, Alfons Schwarzenboeck, Martin Werner, and Franziska Aemisegger
Atmos. Chem. Phys., 23, 14643–14672, https://doi.org/10.5194/acp-23-14643-2023, https://doi.org/10.5194/acp-23-14643-2023, 2023
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This study evaluates three numerical simulations performed with an isotope-enabled weather forecast model and investigates the coupling between shallow trade-wind cumulus clouds and atmospheric circulations on different scales. We show that the simulations reproduce key characteristics of shallow trade-wind clouds as observed during the field experiment EUREC4A and that the spatial distribution of stable-water-vapour isotopes is shaped by the overturning circulation associated with these clouds.
Lucas Reimann, Clemens Simmer, and Silke Trömel
Atmos. Chem. Phys., 23, 14219–14237, https://doi.org/10.5194/acp-23-14219-2023, https://doi.org/10.5194/acp-23-14219-2023, 2023
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Polarimetric radar observations were assimilated for the first time in a convective-scale numerical weather prediction system in Germany and their impact on short-term precipitation forecasts was evaluated. The assimilation was performed using microphysical retrievals of liquid and ice water content and yielded slightly improved deterministic 9 h precipitation forecasts for three intense summer precipitation cases with respect to the assimilation of radar reflectivity alone.
Cunbo Han, Corinna Hoose, Martin Stengel, Quentin Coopman, and Andrew Barrett
Atmos. Chem. Phys., 23, 14077–14095, https://doi.org/10.5194/acp-23-14077-2023, https://doi.org/10.5194/acp-23-14077-2023, 2023
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Cloud phase has been found to significantly impact cloud thermodynamics and Earth’s radiation budget, and various factors influence it. This study investigates the sensitivity of the cloud-phase distribution to the ice-nucleating particle concentration and thermodynamics. Multiple simulation experiments were performed using the ICON model at the convection-permitting resolution of 1.2 km. Simulation results were compared to two different retrieval products based on SEVIRI measurements.
Yun Lin, Yuan Wang, Jen-Shan Hsieh, Jonathan H. Jiang, Qiong Su, Lijun Zhao, Michael Lavallee, and Renyi Zhang
Atmos. Chem. Phys., 23, 13835–13852, https://doi.org/10.5194/acp-23-13835-2023, https://doi.org/10.5194/acp-23-13835-2023, 2023
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Tropical cyclones (TCs) can cause catastrophic damage to coastal regions. We used a numerical model that explicitly simulates aerosol–cloud interaction and atmosphere–ocean coupling. We show that aerosols and ocean coupling work together to make TC storms bigger but weaker. Moreover, TCs in polluted air have more rainfall and higher sea levels, leading to more severe storm surges and flooding. Our research highlights the roles of aerosols and ocean-coupling feedbacks in TC hazard assessment.
Adam C. Varble, Adele L. Igel, Hugh Morrison, Wojciech W. Grabowski, and Zachary J. Lebo
Atmos. Chem. Phys., 23, 13791–13808, https://doi.org/10.5194/acp-23-13791-2023, https://doi.org/10.5194/acp-23-13791-2023, 2023
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As atmospheric particles called aerosols increase in number, the number of droplets in clouds tends to increase, which has been theorized to increase storm intensity. We critically evaluate the evidence for this theory, showing that flaws and limitations of previous studies coupled with unaddressed cloud process complexities draw it into question. We provide recommendations for future observations and modeling to overcome current uncertainties.
Yanfeng He and Kengo Sudo
Atmos. Chem. Phys., 23, 13061–13085, https://doi.org/10.5194/acp-23-13061-2023, https://doi.org/10.5194/acp-23-13061-2023, 2023
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Lightning has big social impacts. Lightning-produced NOx (LNOx) plays a vital role in atmospheric chemistry and climate. Investigating past lightning and LNOx trends can provide essential indicators of all lightning-related phenomena. Simulations show almost flat global lightning and LNOx trends during 1960–2014. Past global warming enhances the trends positively, but increases in aerosol have the opposite effect. Moreover, global lightning decreased markedly after the Pinatubo eruption.
Hannah C. Frostenberg, André Welti, Mikael Luhr, Julien Savre, Erik S. Thomson, and Luisa Ickes
Atmos. Chem. Phys., 23, 10883–10900, https://doi.org/10.5194/acp-23-10883-2023, https://doi.org/10.5194/acp-23-10883-2023, 2023
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Observations show that ice-nucleating particle concentrations (INPCs) have a large variety and follow lognormal distributions for a given temperature. We introduce a new immersion freezing parameterization that applies this lognormal behavior. INPCs are drawn randomly from a temperature-dependent lognormal distribution. We then show that the ice content of the modeled Arctic stratocumulus cloud is highly sensitive to the probability of drawing large INPCs.
Kai-I Lin, Kao-Shen Chung, Sheng-Hsiang Wang, Li-Hsin Chen, Yu-Chieng Liou, Pay-Liam Lin, Wei-Yu Chang, Hsien-Jung Chiu, and Yi-Hui Chang
Atmos. Chem. Phys., 23, 10423–10438, https://doi.org/10.5194/acp-23-10423-2023, https://doi.org/10.5194/acp-23-10423-2023, 2023
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This study develops a hybrid microphysics scheme to enable the complex model simulation of cloud seeding based on observational cloud condensation nuclei size distribution. Our results show that more precipitation can be developed in the scenarios seeding in the in-cloud region, and seeding over an area of tens km2 is the most efficient strategy due to the strengthening of the accretion process. Moreover, particles bigger than 0.4 μm are the main factor contributing to cloud-seeding effects.
Naifu Shao, Chunsong Lu, Xingcan Jia, Yuan Wang, Yubin Li, Yan Yin, Bin Zhu, Tianliang Zhao, Duanyang Liu, Shengjie Niu, Shuxian Fan, Shuqi Yan, and Jingjing Lv
Atmos. Chem. Phys., 23, 9873–9890, https://doi.org/10.5194/acp-23-9873-2023, https://doi.org/10.5194/acp-23-9873-2023, 2023
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Fog is an important meteorological phenomenon that affects visibility. Aerosols and the planetary boundary layer (PBL) play critical roles in the fog life cycle. In this study, aerosol-induced changes in fog properties become more remarkable in the second fog (Fog2) than in the first fog (Fog1). The reason is that aerosol–cloud interaction (ACI) delays Fog1 dissipation, leading to the PBL meteorological conditions being more conducive to Fog2 formation and to stronger ACI in Fog2.
Rachel L. James, Jonathan Crosier, and Paul J. Connolly
Atmos. Chem. Phys., 23, 9099–9121, https://doi.org/10.5194/acp-23-9099-2023, https://doi.org/10.5194/acp-23-9099-2023, 2023
Short summary
Short summary
Secondary ice production (SIP) may significantly enhance the ice particle concentration in mixed-phase clouds. We present a systematic modelling study of secondary ice formation in idealised shallow convective clouds for various conditions. Our results suggest that the SIP mechanism of collisions of supercooled water drops with more massive ice particles may be a significant ice formation mechanism in shallow convective clouds outside the rime-splintering temperature range (−3 to −8 °C).
Melanie Lauer, Annette Rinke, Irina Gorodetskaya, Michael Sprenger, Mario Mech, and Susanne Crewell
Atmos. Chem. Phys., 23, 8705–8726, https://doi.org/10.5194/acp-23-8705-2023, https://doi.org/10.5194/acp-23-8705-2023, 2023
Short summary
Short summary
We present a new method to analyse the influence of atmospheric rivers (ARs), cyclones, and fronts on the precipitation in the Arctic, based on two campaigns: ACLOUD (early summer 2017) and AFLUX (early spring 2019). There are differences between both campaign periods: in early summer, the precipitation is mostly related to ARs and fronts, especially when they are co-located, while in early spring, cyclones isolated from ARs and fronts contributed most to the precipitation.
Cited articles
Ackerman, B.: Buoyancy and precipitation in tropical cumuli, J. Meteorol.,
13, 302–310, https://doi.org/10.1175/1520-0469(1956)013<0302:BAPITC>2.0.CO;2, 1956.
Altaratz, O., Koren, I., Reisin, T., Kostinski, A., Feingold, G., Levin, Z., and Yin, Y.: Aerosols' influence on the interplay between condensation, evaporation and rain in warm cumulus cloud, Atmos. Chem. Phys., 8, 15–24, https://doi.org/10.5194/acp-8-15-2008, 2008.
Betts, A. K.: Non-precipitating cumulus convection and its parameterization,
Q. J. Roy. Meteor. Soc., 99, 178–196, https://doi.org/10.1002/qj.49709941915, 1973.
Burnet, F. and Brenguier, J.-L.: The onset of precipitation in warm cumulus
clouds: An observational case-study, Q. J. Roy. Meteor. Soc., 136, 374–381,
https://doi.org/10.1002/qj.552, 2010.
Craven, J. P., Jewell, R. E., and Brooks, H. E.: Comparison between Observed
Convective Cloud-Base Heights and Lifting Condensation Level for Two
Different Lifted Parcels, Weather Forecast., 17, 885–890,
https://doi.org/10.1175/1520-0434(2002)017<0885:CBOCCB>2.0.CO;2,
2002.
Dagan, G., Koren, I., and Altaratz, O.: Competition between core and periphery-based processes in warm convective clouds – from invigoration to suppression, Atmos. Chem. Phys., 15, 2749–2760, https://doi.org/10.5194/acp-15-2749-2015, 2015.
Dawe, J. T. and Austin, P. H.: The influence of the cloud shell on tracer
budget measurements of LES cloud entrainment, J. Atmos. Sci., 68,
2909–2920, https://doi.org/10.1175/2011JAS3658.1, 2011.
Dawe, J. T. and Austin, P. H.: Statistical analysis of an LES shallow cumulus cloud ensemble using a cloud tracking algorithm, Atmos. Chem. Phys., 12, 1101–1119, https://doi.org/10.5194/acp-12-1101-2012, 2012.
de Roode, S. R.: Thermodynamics of cumulus clouds, Física de la Tierra,
Vol. 19, Universidad Complutense de Madrid, 2007.
de Roode, S. R. and Bretherton, C. S.: Mass-Flux Budgets of Shallow Cumulus
Clouds, J. Atmos. Sci., 60, 137–151,
https://doi.org/10.1175/1520-0469(2003)060<0137:MFBOSC>2.0.CO;2,
2003.
de Roode, S. R., Siebesma, A. P., Jonker, H. J. J., and de Voogd, Y.:
Parameterization of the vertical velocity equation for shallow cumulus
clouds, Mon. Weather Rev., 140, 2424–2436, https://doi.org/10.1175/MWR-D-11-00277.1,
2012.
de Rooy, W. C. and Siebesma, A. P.: A simple parameterization for
detrainment in shallow cumulus, Mon. Weather Rev., 136, 560–576,
https://doi.org/10.1175/2007MWR2201.1, 2008.
Derbyshire, S. H., Maidens, A. V., Milton, S. F., Stratton, R. A., and
Willett, M. R.: Adaptive detrainment in a convective parametrization, Q. J.
Roy. Meteor. Soc., 137, 1856–1871, https://doi.org/10.1002/qj.875, 2011.
Emanuel, K. A.: A Scheme for Representing Cumulus Convection in Large-Scale
Models, J. Atmos. Sci., 48, 2313–2329,
https://doi.org/10.1175/1520-0469(1991)048<2313:ASFRCC>2.0.CO;2,
1991.
Feingold, G., Tzivion, S., and Levin, Z.: Evolution of raindrop spectra. part
I: solution to the stochastic collection/breakup equation using the method
of moments, J. Atmos. Sci., 45, 3387–3399,
https://doi.org/10.1175/1520-0469(1988)045<3387:EORSPI>2.0.CO;2,
1988.
Feingold, G., Levin, Z., and Tzivion, S.: The evolution of raindrop spectra.
part III: downdraft generation in an axisymmetrical rainshaft model, J.
Atmos. Sci., 48, 315–330, https://doi.org/10.1175/1520-0469(1991)048<0315:TEORSP>2.0.CO;2, 1991.
Garstang, M. and Betts, A. K.: A review of the tropical boundary layer and
cumulus convection: structure, parameterization, and modeling, B. Am.
Meteorol. Soc., 55, 1195–1205, https://doi.org/10.1175/1520-0477(1974)055<1195:AROTTB>2.0.CO;2, 1974.
Grabowski, W. W. and Jarecka, D.: Modeling condensation in shallow
nonprecipitating convection, J. Atmos. Sci., 72, 4661–4679,
https://doi.org/10.1175/JAS-D-15-0091.1, 2015.
Grant, A. L. M. and Lock, A. P.: The turbulent kinetic energy budget for
shallow cumulus convection, Q. J. Roy. Meteorol. Soc., 130, 401–422,
https://doi.org/10.1256/qj.03.50, 2004.
Gregory, D. and Rowntree, P. R.: A Mass Flux Convection Scheme with
Representation of Cloud Ensemble Characteristics and Stability-Dependent
Closure, Mon. Weather Rev., 118, 1483–1506,
https://doi.org/10.1175/1520-0493(1990)118<1483:AMFCSW>2.0.CO;2,
1990.
Hannah, W. M.: Entrainment versus Dilution in Tropical Deep Convection, J.
Atmos. Sci., 74, 3725–3747, https://doi.org/10.1175/JAS-D-16-0169.1, 2017.
Heiblum, R. H., Altaratz, O., Koren, I., Feingold, G., Kostinski, A. B.,
Khain, A. P., Ovchinnikov, M., Fredj, E., Dagan, G., Pinto, L., Yaish, R.,
and Chen, Q.: Characterization of cumulus cloud fields using trajectories in
the center of gravity versus water mass phase space: 1. Cloud tracking and
phase space description, J. Geophys. Res.-Atmos., 121, 6336–6355,
https://doi.org/10.1002/2015JD024186, 2016a.
Heiblum, R. H., Altaratz, O., Koren, I., Feingold, G., Kostinski, A. B.,
Khain, A. P., Ovchinnikov, M., Fredj, E., Dagan, G., Pinto, L., Yaish, R.,
and Chen, Q.: Characterization of cumulus cloud fields using trajectories in
the center of gravity versus water mass phase space: 2. Aerosol effects on
warm convective clouds, J. Geophys. Res.-Atmos., 121, 6356–6373,
https://doi.org/10.1002/2015JD024193, 2016b.
Heiblum, R. H., Pinto, L., Altaratz, O., Dagan, G., and Koren, I.:
Core and margin in warm convective clouds – Part 2: Aerosol effects on core properties, Atmos. Chem. Phys., 19, 10739–10755, https://doi.org/10.5194/acp-19-10739-2019, 2019.
Hernandez-Deckers, D. and Sherwood, S. C.: A numerical investigation of
cumulus thermals, J. Atmos. Sci., 73, 4117–4136,
https://doi.org/10.1175/JAS-D-15-0385.1, 2016.
Heus, T. and Jonker, H. J. J.: Subsiding Shells around Shallow Cumulus
Clouds, J. Atmos. Sci., 65, 1003–1018, https://doi.org/10.1175/2007JAS2322.1, 2008.
Heus, T. and Seifert, A.: Automated tracking of shallow cumulus clouds in large domain, long duration large eddy simulations, Geosci. Model Dev., 6, 1261–1273, https://doi.org/10.5194/gmd-6-1261-2013, 2013.
Heus, T., Pols, C. F. J., Jonker, H. J. J., Van den Akker, H. E. A., and
Lenschow, D. H.: Observational validation of the compensating mass flux through
the shell around cumulus clouds, Q. J. Roy. Meteor. Soc., 135, 101–112,
https://doi.org/10.1002/qj.358, 2009a.
Heus, T., Jonker, H. J. J., Van den Akker, H. E. A., Griffith, E. J.,
Koutek, M., and Post, F. H.: A statistical approach to the life cycle
analysis of cumulus clouds selected in a virtual reality environment, J.
Geophys. Res., 114, D06208, https://doi.org/10.1029/2008JD010917, 2009b.
Holland, J. Z. and Rasmusson, E. M.: Measurements of the Atmospheric Mass,
Energy, and Momentum Budgets Over a 500-Kilometer Square of Tropical Ocean,
Mon. Weather Rev., 101, 44–55, https://doi.org/10.1175/1520-0493(1973)101<0044:MOTAME>2.3.CO;2, 1973.
IPCC: Climate Change 2013: The Physical Science Basis. Working Group I
Contribution to the Fifth Assessment Report of the IPCC, Cambridge Univ.
Press, New York, 2013.
Jaenicke, R.: 9.3.1 Physical properties, in: Physical and chemical properties
of the air, edited by: Fischer, G., 405–420, Springer-Verlag,
Berlin/Heidelberg, 1988.
Jiang, H. and Feingold, G.: Effect of aerosol on warm convective clouds:
Aerosol-cloud-surface flux feedbacks in a new coupled large eddy model, J.
Geophys. Res., 111, D01202, https://doi.org/10.1029/2005JD006138, 2006.
Jonker, H. J. J., Heus, T., and Sullivan, P. P.: A refined view of vertical
mass transport by cumulus convection, Geophys. Res. Lett., 35, L07810,
https://doi.org/10.1029/2007GL032606, 2008.
Kain, J. S. and Fritsch, J. M.: A One-Dimensional Entraining/Detraining
Plume Model and Its Application in Convective Parameterization, J. Atmos.
Sci., 47, 2784–2802, https://doi.org/10.1175/1520-0469(1990)047<2784:AODEPM>2.0.CO;2, 1990.
Khain, A., Pokrovsky, A., Pinsky, M., Seifert, A., and Phillips, V.:
Simulation of Effects of Atmospheric Aerosols on Deep Turbulent Convective
Clouds Using a Spectral Microphysics Mixed-Phase Cumulus Cloud Model. Part
I: Model Description and Possible Applications, J. Atmos. Sci., 61,
2963–2982, https://doi.org/10.1175/JAS-3350.1, 2004.
Khain, A. P., Beheng, K. D., Heymsfield, A., Korolev, A., Krichak, S. O.,
Levin, Z., Pinsky, M., Phillips, V., Prabhakaran, T., Teller, A., van den
Heever, S. C., and Yano, J. I.: Representation of microphysical processes in
cloud-resolving models: Spectral (bin) microphysics versus bulk
parameterization, Rev. Geophys., 53, 247–322, https://doi.org/10.1002/2014RG000468,
2015.
Khairoutdinov, M. F. and Randall, D. A.: Cloud resolving modeling of the ARM
summer 1997 IOP: model formulation, results, uncertainties, and
sensitivities, J. Atmos. Sci., 60, 607–625,
https://doi.org/10.1175/1520-0469(2003)060<0607:CRMOTA>2.0.CO;2,
2003.
Khairoutdinov, M. F., Krueger, S. K., Moeng, C.-H., Bogenschutz, P. A., and
Randall, D. A.: Large-eddy simulation of maritime deep tropical convection,
J. Adv. Model. Earth Sy., 2, 15, https://doi.org/10.3894/JAMES.2009.1.15, 2009.
Korolev, A., Khain, A., Pinsky, M., and French, J.: Theoretical study of mixing in liquid clouds – Part 1: Classical concepts, Atmos. Chem. Phys., 16, 9235–9254, https://doi.org/10.5194/acp-16-9235-2016, 2016.
Kumar, V. V., Jakob, C., Protat, A., Williams, C. R., and May, P. T.:
Mass-Flux Characteristics of Tropical Cumulus Clouds from Wind Profiler
Observations at Darwin, Australia, J. Atmos. Sci., 72, 1837–1855,
https://doi.org/10.1175/JAS-D-14-0259.1, 2015.
Lebo, Z. J. and Seinfeld, J. H.: Theoretical basis for convective invigoration due to increased aerosol concentration, Atmos. Chem. Phys., 11, 5407–5429, https://doi.org/10.5194/acp-11-5407-2011, 2011.
Lehmann, K., Siebert, H., and Shaw, R. A.: Homogeneous and inhomogeneous
mixing in cumulus clouds: Dependence on local turbulence structure, J. Atmos. Sci., 66, 3641–3659, 2009.
Malkus, J. S.: On the structure of the trade wind moist layer, Woods Hole
Oceanographic Institution, Woods Hole, MA, 1957.
Meerkötter, R. and Bugliaro, L.: Diurnal evolution of cloud base heights in convective cloud fields from MSG/SEVIRI data, Atmos. Chem. Phys., 9, 1767–1778, https://doi.org/10.5194/acp-9-1767-2009, 2009.
Morrison, H.: On the robustness of aerosol effects on an idealized supercell storm simulated with a cloud system-resolving model, Atmos. Chem. Phys., 12, 7689–7705, https://doi.org/10.5194/acp-12-7689-2012, 2012.
Morrison, H.: Impacts of updraft size and dimensionality on the perturbation
pressure and vertical velocity in cumulus convection. part I: simple,
generalized analytic solutions, J. Atmos. Sci., 73, 1441–1454,
https://doi.org/10.1175/JAS-D-15-0040.1, 2016a.
Morrison, H.: Impacts of updraft size and dimensionality on the perturbation
pressure and vertical velocity in cumulus convection. part II: comparison of
theoretical and numerical solutions and fully dynamical simulations, J.
Atmos. Sci., 73, 1455–1480, https://doi.org/10.1175/JAS-D-15-0041.1, 2016b.
Morrison, H.: An analytic description of the structure and evolution of
growing deep cumulus updrafts, J. Atmos. Sci., 74, 809–834,
https://doi.org/10.1175/JAS-D-16-0234.1, 2017.
Neggers, R. A. J., Stevens, B., and Neelin, J. D.: Variance scaling in
shallow-cumulus-topped mixed layers, Q. J Roy. Meteor. Soc., 133,
1629–1641, https://doi.org/10.1002/qj.105, 2007.
Paluch, I. R.: The entrainment mechanism in colorado cumuli, J. Atmos. Sci.,
36, 2467–2478, https://doi.org/10.1175/1520-0469(1979)036<2467:TEMICC>2.0.CO;2, 1979.
Peters, J. M.: The Impact of Effective Buoyancy and Dynamic Pressure Forcing
on Vertical Velocities within Two-Dimensional Updrafts, J. Atmos. Sci.,
73, 4531–4551, https://doi.org/10.1175/JAS-D-16-0016.1, 2016.
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.
Reisin, T., Levin, Z., and Tzivion, S.: Rain Production in Convective Clouds
As Simulated in an Axisymmetric Model with Detailed Microphysics. Part I:
Description of the Model, J. Atmos. Sci., 53, 497–519,
https://doi.org/10.1175/1520-0469(1996)053<0497:RPICCA>2.0.CO;2,
1996.
Rennó, N. O. and Ingersoll, A. P.: Natural convection as a heat engine:
A theory for CAPE, J. Atmos. Sci., 53, 572–585,
https://doi.org/10.1175/1520-0469(1996)053<0572:NCAAHE>2.0.CO;2,
1996.
Reutter, P., Su, H., Trentmann, J., Simmel, M., Rose, D., Gunthe, S. S., Wernli, H., Andreae, M. O., and Pöschl, U.: Aerosol- and updraft-limited regimes of cloud droplet formation: influence of particle number, size and hygroscopicity on the activation of cloud condensation nuclei (CCN), Atmos. Chem. Phys., 9, 7067–7080, https://doi.org/10.5194/acp-9-7067-2009, 2009.
Rodts, S. M. A., Duynkerke, P. G. and Jonker, H. J. J.: Size Distributions
and Dynamical Properties of Shallow Cumulus Clouds from Aircraft
Observations and Satellite Data, J. Atmos. Sci., 60, 1895–1912,
https://doi.org/10.1175/1520-0469(2003)060<1895:SDADPO>2.0.CO;2,
2003.
Rogers, R. R. and Yau, M. K.: A Short Course in Cloud Physics, Butterworth
Heinemann, Burlington, MA, 1989.
Romps, D. M. and Charn, A. B.: Sticky Thermals: Evidence for a Dominant
Balance between Buoyancy and Drag in Cloud Updrafts, J. Atmos. Sci., 72,
2890–2901, https://doi.org/10.1175/JAS-D-15-0042.1, 2015.
Seigel, R. B.: Shallow Cumulus Mixing and Subcloud-Layer Responses to
Variations in Aerosol Loading, J. Atmos. Sci., 71, 2581–2603,
https://doi.org/10.1175/JAS-D-13-0352.1, 2014.
Seiki, T. and Nakajima, T.: Aerosol effects of the condensation process on a
convective cloud simulation, J. Atmos. Sci., 71, 833–853,
https://doi.org/10.1175/JAS-D-12-0195.1, 2014.
Siebesma, A. P. and Cuijpers, J. W. M.: Evaluation of parametric assumptions
for shallow cumulus convection, J. Atmos. Sci., 52, 650–666,
https://doi.org/10.1175/1520-0469(1995)052<0650:EOPAFS>2.0.CO;2,
1995.
Siebesma, A. P., Bretherton, C. S., Brown, A., Chlond, A., Cuxart, J.,
Duynkerke, P. G., Jiang, H., Khairoutdinov, M., Lewellen, D., Moeng, C.-H.,
Sanchez, E., Stevens, B., and Stevens, D. E.: A large eddy simulation
intercomparison study of shallow cumulus convection, J. Atmos. Sci., 60,
1201–1219, https://doi.org/10.1175/1520-0469(2003)60<1201:ALESIS>2.0.CO;2, 2003.
Sinkevich, A. A. and Lawson, R. P.: A survey of temperature measurements in
convective clouds, J. Appl. Meteorol., 44, 1133–1145,
https://doi.org/10.1175/JAM2247.1, 2005.
Taylor, G. R. and Baker, M. B.: Entrainment and detrainment in cumulus
clouds, J. Atmos. Sci., 48, 112–121,
https://doi.org/10.1175/1520-0469(1991)048<0112:EADICC>2.0.CO;2,
1991.
Trenberth, K. E., Fasullo, J. T., and Kiehl, J.: Earth's global energy
budget, B. Am. Meteorol. Soc., 90, 311–323,
https://doi.org/10.1175/2008BAMS2634.1, 2009.
Tzivion, S., Feingold, G., and Levin, Z.: The evolution of raindrop spectra.
part II: collisional collection/breakup and evaporation in a rainshaft, J.
Atmos. Sci., 46, 3312–3328, https://doi.org/10.1175/1520-0469(1989)046<3312:TEORSP>2.0.CO;2, 1989.
Tzivion, S., Reisin, T., and Levin, Z.: Numerical simulation of hygroscopic
seeding in a convective cloud, J. Appl. Meteorol., 33, 252–267,
https://doi.org/10.1175/1520-0450(1994)033<0252:NSOHSI>2.0.CO;2,
1994.
Wang, Y., Geerts, B., and French, J.: Dynamics of the cumulus cloud margin:
an observational study, J. Atmos. Sci., 66, 3660–3677,
https://doi.org/10.1175/2009JAS3129.1, 2009.
Wei, D., Blyth, A. M., and Raymond, D. J.: Buoyancy of convective clouds in
TOGA COARE, J. Atmos. Sci., 55, 3381–3391, 1998.
Williams, E. and Stanfill, S.: The physical origin of the land–ocean
contrast in lightning activity, CR Phys., 3, 1277–1292,
https://doi.org/10.1016/S1631-0705(02)01407-X, 2002.
Xue, H. and Feingold, G.: Large-Eddy Simulations of Trade Wind Cumuli:
Investigation of Aerosol Indirect Effects, J. Atmos. Sci., 63,
1605–1622, https://doi.org/10.1175/JAS3706.1, 2006.
Yano, J.-I., Chaboureau, J.-P., and Guichard, F.: A generalization of CAPE
into potential-energy convertibility, Q. J. Roy. Meteor. Soc., 131,
861–875, https://doi.org/10.1256/qj.03.188, 2005.
Zhang, Y., Klein, S. A., Fan, J., Chandra, A. S., Kollias, P., Xie, S., and
Tang, S.: Large-Eddy Simulation of Shallow Cumulus over Land: A Composite
Case Based on ARM Long-Term Observations at Its Southern Great Plains Site,
J. Atmos. Sci., 74, 3229–3251, https://doi.org/10.1175/JAS-D-16-0317.1, 2017.
Short summary
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.
It is useful to divide a cloud into two regions: core and margin. Three parameters used to...
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