Articles | Volume 18, issue 9
https://doi.org/10.5194/acp-18-6493-2018
© Author(s) 2018. 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-18-6493-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 May 2018
Research article |
| 08 May 2018
| 08 May 2018
Microphysical variability of Amazonian deep convective cores observed by CloudSat and simulated by a multi-scale modeling framework
Science Systems and Applications, Inc., Hampton, VA, USA
Patrick C. Taylor
Climate Science Branch, NASA Langley Research Center, Hampton, VA, USA
Mark Branson
Department of Atmospheric Science, Colorado State University, Ft.
Collins, CO, USA
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Carola Barrientos-Velasco, Christopher J. Cox, Hartwig Deneke, J. Brant Dodson, Anja Hünerbein, Matthew D. Shupe, Patrick C. Taylor, and Andreas Macke
Atmos. Chem. Phys., 25, 3929–3960, https://doi.org/10.5194/acp-25-3929-2025, https://doi.org/10.5194/acp-25-3929-2025, 2025
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J. Brant Dodson, Patrick C. Taylor, Richard H. Moore, David H. Bromwich, Keith M. Hines, Kenneth L. Thornhill, Chelsea A. Corr, Bruce E. Anderson, Edward L. Winstead, and Joseph R. Bennett
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Aircraft in situ observations of low-level Beaufort Sea cloud properties and thermodynamics from the ARISE campaign are compared with the Arctic System Reanalysis (ASR) to better understand deficiencies in simulated clouds. ASR produces too little cloud water, which coincides with being too warm and dry. In addition, ASR struggles to produce cloud water even in favorable thermodynamic conditions. A random sampling experiment also shows the effects of the limited aircraft sampling on the results.
Carola Barrientos-Velasco, Christopher J. Cox, Hartwig Deneke, J. Brant Dodson, Anja Hünerbein, Matthew D. Shupe, Patrick C. Taylor, and Andreas Macke
Atmos. Chem. Phys., 25, 3929–3960, https://doi.org/10.5194/acp-25-3929-2025, https://doi.org/10.5194/acp-25-3929-2025, 2025
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Understanding how clouds affect the climate, especially in the Arctic, is crucial. This study used data from the largest polar expedition in history, MOSAiC, and the CERES satellite to analyse the impact of clouds on radiation. Simulations showed accurate results, aligning with observations. Over the year, clouds caused the atmospheric surface system to lose 5.2 W m−² of radiative energy to space, while the surface gained 25 W m−² and the atmosphere cooled by 30.2 W m−².
Sean Horvath, Linette Boisvert, Chelsea Parker, Melinda Webster, Patrick Taylor, and Robyn Boeke
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-297, https://doi.org/10.5194/tc-2021-297, 2021
Preprint withdrawn
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Arctic sea ice has been experiencing a dramatic decline since the late 1970s. A database is presented that combines satellite observations with daily sea ice parcel drift tracks. This dataset consists of daily time series of sea ice parcel locations, sea ice and snow conditions, and atmospheric states. This has multiple applications for the scientific community that can shed light on the atmosphere-snow-sea ice interactions in the changing Arctic environment.
J. Brant Dodson, Patrick C. Taylor, Richard H. Moore, David H. Bromwich, Keith M. Hines, Kenneth L. Thornhill, Chelsea A. Corr, Bruce E. Anderson, Edward L. Winstead, and Joseph R. Bennett
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Aircraft in situ observations of low-level Beaufort Sea cloud properties and thermodynamics from the ARISE campaign are compared with the Arctic System Reanalysis (ASR) to better understand deficiencies in simulated clouds. ASR produces too little cloud water, which coincides with being too warm and dry. In addition, ASR struggles to produce cloud water even in favorable thermodynamic conditions. A random sampling experiment also shows the effects of the limited aircraft sampling on the results.
Hong Chen, Sebastian Schmidt, Michael D. King, Galina Wind, Anthony Bucholtz, Elizabeth A. Reid, Michal Segal-Rozenhaimer, William L. Smith, Patrick C. Taylor, Seiji Kato, and Peter Pilewskie
Atmos. Meas. Tech., 14, 2673–2697, https://doi.org/10.5194/amt-14-2673-2021, https://doi.org/10.5194/amt-14-2673-2021, 2021
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The amount of solar energy absorbed by Earth is believed to strongly depend on clouds. Here, we investigate this relationship using satellite data and 32 climate models, showing that this relationship holds everywhere except over polar seas, where an increased reflection by clouds corresponds to an increase in absorbed solar radiation at the surface. This interplay between clouds and sea ice reduces by half the increase of net radiation at the surface that follows the sea ice retreat.
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Atmos. Chem. Phys., 19, 8759–8782, https://doi.org/10.5194/acp-19-8759-2019, https://doi.org/10.5194/acp-19-8759-2019, 2019
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Climate projections disagree more in the rapidly changing Arctic than anywhere else. The impact of a changing Arctic spans food and water security, economics, national security, etc. The representation of Arctic clouds within climate models is a critical roadblock towards improving Arctic climate projections. We explore the potential drivers of the diverse representation of the Arctic cloud annual cycle within climate models providing evidence that microphysical processes are a key driver.
Related subject area
Subject: Clouds and Precipitation | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Study of optical scattering properties and direct radiative effects of high-altitude cirrus clouds in Barcelona, Spain, with 4 years of lidar measurements
Co-variability drives the inverted-V sensitivity between liquid water path and droplet concentrations
Lightning declines over shipping lanes following regulation of fuel sulfur emissions
Post-return stroke VHF electromagnetic activity in north-western Mediterranean cloud-to-ground lightning flashes
Technical note: Applicability of physics-based and machine-learning-based algorithms of a geostationary satellite in retrieving the diurnal cycle of cloud base height
Observing convective activities in complex convective organizations and their contributions to precipitation and anvil cloud amounts
Weak liquid water path response in ship tracks
A new aggregation and riming discrimination algorithm based on polarimetric weather radars
Relationship between latent and radiative heating fields of Tropical cloud systems using synergistic satellite observations
Shallow cloud variability in Houston, Texas during the ESCAPE and TRACER field experiments
Air mass history linked to the development of Arctic mixed-phase clouds
Distinct structure, radiative effects, and precipitation characteristics of deep convection systems in the Tibetan Plateau compared to the tropical Indian Ocean
The correlation between Arctic sea ice, cloud phase and radiation using A-Train satellites
Impact of wildfire smoke on Arctic cirrus formation, part 1: analysis of MOSAiC 2019–2020 observations
Technical note: Retrieval of the supercooled liquid fraction in mixed-phase clouds from Himawari-8 observations
Characterisation of low-base and mid-base clouds and their thermodynamic phase over the Southern Ocean and Arctic marine regions
A survey of radiative and physical properties of North Atlantic mesoscale cloud morphologies from multiple identification methodologies
Extensive coverage of ultrathin tropical tropopause layer cirrus clouds revealed by balloon-borne lidar observations
The effects of warm-air intrusions in the high Arctic on cirrus clouds
The characteristics of cloud macro-parameters caused by the seeder–feeder process inside clouds measured by millimeter-wave cloud radar in Xi'an, China
Shallow- and deep-convection characteristics in the greater Houston, Texas, area using cell tracking methodology
Observations of the macrophysical properties of cumulus cloud fields over the tropical western Pacific and their connection to meteorological variables
A Lagrangian perspective on the lifecycle and cloud radiative effect of deep convective clouds over Africa
How does the lifetime of detrained cirrus impact the high cloud radiative effect in the tropics?
Daytime variation in the aerosol indirect effect for warm marine boundary layer clouds in the eastern North Atlantic
Technical note: Bimodal parameterizations of in situ ice cloud particle size distributions
Inter-relations of precipitation, aerosols, and clouds over Andalusia, southern Spain, revealed by the Andalusian Global ObseRvatory of the Atmosphere (AGORA)
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Low-level Arctic clouds: a blind zone in our knowledge of the radiation budget
Climatologically invariant scale invariance seen in distributions of cloud horizontal sizes
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This study presents a comprehensive analysis of optical scattering properties and direct radiative effects of cirrus clouds based on 4 years of continuous ground-based lidar measurements with the Barcelona MPLNET lidar. A novel approach of the self-consistent scattering model for cirrus clouds is presented to determine their optical scattering properties at different wavelengths, and their direct radiative effects are calculated with the discrete ordinates method embedded in the ARTDECO package.
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Many studies have identified an inverted-V relationship between the liquid water path (LWP) and droplet concentration (Nd), where LWP increases and then decreases with Nd. Using satellite observations and meteorological data, we demonstrate that the inverted V primarily reflects co-variability between LWP and Nd. We suggest taking a holistic approach that considers this co-variability when assessing the climatological sensitivity of LWP to anthropogenic aerosols.
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Andrea Kolínská, Ivana Kolmašová, Eric Defer, Ondřej Santolík, and Stéphane Pédeboy
Atmos. Chem. Phys., 25, 1791–1803, https://doi.org/10.5194/acp-25-1791-2025, https://doi.org/10.5194/acp-25-1791-2025, 2025
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We contribute to understanding differences in lightning flashes of opposite polarity by explaining distinct in-cloud processes after return strokes. Using data from multiple sensors, including individual Lightning Mapping Array stations, we reveal that positive flashes sustain strong high-frequency radiation due to the recharging of their in-cloud leader; this is in contrast to negative flashes, for which this activity declines rapidly.
Mengyuan Wang, Min Min, Jun Li, Han Lin, Yongen Liang, Binlong Chen, Zhigang Yao, Na Xu, and Miao Zhang
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Although machine learning technology is advanced in the field of satellite remote sensing, the physical inversion algorithm based on cloud base height can better capture the daily variation in the characteristics of the cloud base.
Zhenquan Wang and Jian Yuan
Atmos. Chem. Phys., 24, 13811–13831, https://doi.org/10.5194/acp-24-13811-2024, https://doi.org/10.5194/acp-24-13811-2024, 2024
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Tropical convection organizations are normally connected complexes of many convective activities. In this work, a novel variable-brightness-temperature segment tracking algorithm is established to partition the complex convective organizations into structural components of single cold cores for tracking separately. The duration, precipitation and anvil amount of the tracked organization segments have strong loglinear relationships with brightness temperature structures.
Anna Tippett, Edward Gryspeerdt, Peter Manshausen, Philip Stier, and Tristan W. P. Smith
Atmos. Chem. Phys., 24, 13269–13283, https://doi.org/10.5194/acp-24-13269-2024, https://doi.org/10.5194/acp-24-13269-2024, 2024
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Ship emissions can form artificially brightened clouds, known as ship tracks, and provide us with an opportunity to investigate how aerosols interact with clouds. Previous studies that used ship tracks suggest that clouds can experience large increases in the amount of water (LWP) from aerosols. Here, we show that there is a bias in previous research and that, when we account for this bias, the LWP response to aerosols is much weaker than previously reported.
Armin Blanke, Mathias Gergely, and Silke Trömel
EGUsphere, https://doi.org/10.5194/egusphere-2024-3336, https://doi.org/10.5194/egusphere-2024-3336, 2024
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The area-wide radar-based distinction between riming and aggregation is crucial for model microphysics and data assimilation. This study introduces a discrimination algorithm based on polarimetric radar networks only. Exploiting the unique opportunity to link fall velocities from Doppler spectra to polarimetric variables in an operational setting enables us to set up and evaluate a well-performing machine learning algorithm.
Xiaoting Chen, Claudia J. Stubenrauch, and Giulio Mandorli
EGUsphere, https://doi.org/10.5194/egusphere-2024-3434, https://doi.org/10.5194/egusphere-2024-3434, 2024
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Strongly precipitating mesoscale convective systems produce large diabatic heating of the atmosphere, influencing atmospheric circulation. Their complete 3D description, attained by machine learning techniques in combination with satellite observations, has enabled a detailed study of the relationship between latent and radiative heating in these cloud systems. Convective organization increases both the average and vertical gradient of radiative effects of the mesoscale convective systems.
Zackary Mages, Pavlos Kollias, Bernat Puigdomenech Treserras, Paloma Borque, and Mariko Oue
EGUsphere, https://doi.org/10.5194/egusphere-2024-2984, https://doi.org/10.5194/egusphere-2024-2984, 2024
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Convective clouds are a key component of the climate system. Using remote sensing observations during two field experiments in Houston, Texas, we identify four diurnal patterns of shallow convective clouds. We find areas more frequently experiencing shallow convective clouds, and we find areas where the vertical extent of shallow convective clouds is higher and where they are more likely to precipitate. This provides insight into the complicated environment that forms these clouds in Houston.
Rebecca J. Murray-Watson and Edward Gryspeerdt
Atmos. Chem. Phys., 24, 11115–11132, https://doi.org/10.5194/acp-24-11115-2024, https://doi.org/10.5194/acp-24-11115-2024, 2024
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The formation of mixed-phase clouds during marine cold-air outbreaks is not well understood. Our study, using satellite data and Lagrangian trajectories, reveals that the occurrence of these clouds depends on both time and temperature, influenced partly by the presence of biological ice-nucleating particles. This highlights the importance of comprehending local aerosol dynamics for precise modelling of cloud-phase transitions in the Arctic.
Yuxin Zhao, Jiming Li, Deyu Wen, Yarong Li, Yuan Wang, and Jianping Huang
Atmos. Chem. Phys., 24, 9435–9457, https://doi.org/10.5194/acp-24-9435-2024, https://doi.org/10.5194/acp-24-9435-2024, 2024
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This study identifies deep convection systems (DCSs), including deep convection cores and anvils, over the Tibetan Plateau (TP) and tropical Indian Ocean (TO). The DCSs over the TP are less frequent, showing narrower and thinner cores and anvils compared to those over the TO. TP DCSs show a stronger longwave cloud radiative effect at the surface and in the low-level atmosphere. Distinct aerosol–cloud–precipitation interaction is found in TP DCSs, probably due to the cold cloud bases.
Grégory V. Cesana, Olivia Pierpaoli, Matteo Ottaviani, Linh Vu, Zhonghai Jin, and Israel Silber
Atmos. Chem. Phys., 24, 7899–7909, https://doi.org/10.5194/acp-24-7899-2024, https://doi.org/10.5194/acp-24-7899-2024, 2024
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Better characterizing the relationship between sea ice and clouds is key to understanding Arctic climate because clouds and sea ice affect surface radiation and modulate Arctic surface warming. Our results indicate that Arctic liquid clouds robustly increase in response to sea ice decrease. This increase has a cooling effect on the surface because more solar radiation is reflected back to space, and it should contribute to dampening future Arctic surface warming.
Albert Ansmann, Cristofer Jimenez, Johanna Roschke, Johannes Bühl, Kevin Ohneiser, Ronny Engelmann, Martin Radenz, Hannes Griesche, Julian Hofer, Dietrich Althausen, Daniel A. Knopf, Sandro Dahlke, Tom Gaudek, Patric Seifert, and Ulla Wandinger
EGUsphere, https://doi.org/10.5194/egusphere-2024-2008, https://doi.org/10.5194/egusphere-2024-2008, 2024
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In this study, we focus on the potential impact of wildfire smoke on cirrus formation. For the first time, state-of-the-art aerosol and cirrus observations with lidar and radar, presented in part 1 of a series of two articles, are closely linked to comprehensive modeling of gravity-wave-induced ice nucleation in cirrus evolution processes, presented in part 2. We found a clear impact of wildfire smoke on cirrus evolution.
Ziming Wang, Husi Letu, Huazhe Shang, and Luca Bugliaro
Atmos. Chem. Phys., 24, 7559–7574, https://doi.org/10.5194/acp-24-7559-2024, https://doi.org/10.5194/acp-24-7559-2024, 2024
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The supercooled liquid fraction (SLF) in mixed-phase clouds is retrieved for the first time using passive geostationary satellite observations based on differences in liquid droplet and ice particle radiative properties. The retrieved results are comparable to global distributions observed by active instruments, and the feasibility of the retrieval method to analyze the observed trends of the SLF has been validated.
Barbara Dietel, Odran Sourdeval, and Corinna Hoose
Atmos. Chem. Phys., 24, 7359–7383, https://doi.org/10.5194/acp-24-7359-2024, https://doi.org/10.5194/acp-24-7359-2024, 2024
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Uncertainty with respect to cloud phases over the Southern Ocean and Arctic marine regions leads to large uncertainties in the radiation budget of weather and climate models. This study investigates the phases of low-base and mid-base clouds using satellite-based remote sensing data. A comprehensive analysis of the correlation of cloud phase with various parameters, such as temperature, aerosols, sea ice, vertical and horizontal cloud extent, and cloud radiative effect, is presented.
Ryan Eastman, Isabel L. McCoy, Hauke Schulz, and Robert Wood
Atmos. Chem. Phys., 24, 6613–6634, https://doi.org/10.5194/acp-24-6613-2024, https://doi.org/10.5194/acp-24-6613-2024, 2024
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Cloud types are determined using machine learning image classifiers applied to satellite imagery for 1 year in the North Atlantic. This survey of these cloud types shows that the climate impact of a cloud scene is, in part, a function of cloud type. Each type displays a different mix of thick and thin cloud cover, with the fraction of thin cloud cover having the strongest impact on the clouds' radiative effect. Future studies must account for differing properties and processes among cloud types.
Thomas Lesigne, François Ravetta, Aurélien Podglajen, Vincent Mariage, and Jacques Pelon
Atmos. Chem. Phys., 24, 5935–5952, https://doi.org/10.5194/acp-24-5935-2024, https://doi.org/10.5194/acp-24-5935-2024, 2024
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Upper tropical clouds have a strong impact on Earth's climate but are challenging to observe. We report the first long-duration observations of tropical clouds from lidars flying on board stratospheric balloons. Comparisons with spaceborne observations reveal the enhanced sensitivity of balloon-borne lidar to optically thin cirrus. These clouds, which have a significant coverage and lie in the uppermost troposphere, are linked with the dehydration of air masses on their way to the stratosphere.
Georgios Dekoutsidis, Martin Wirth, and Silke Groß
Atmos. Chem. Phys., 24, 5971–5987, https://doi.org/10.5194/acp-24-5971-2024, https://doi.org/10.5194/acp-24-5971-2024, 2024
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For decades the earth's temperature has been rising. The Arctic regions are warming faster. Cirrus clouds can contribute to this phenomenon. During warm-air intrusions, air masses are transported into the Arctic from the mid-latitudes. The HALO-(AC)3 campaign took place to measure cirrus during intrusion events and under normal conditions. We study the two cloud types based on these measurements and find differences in their geometry, relative humidity distribution and vertical structure.
Huige Di and Yun Yuan
Atmos. Chem. Phys., 24, 5783–5801, https://doi.org/10.5194/acp-24-5783-2024, https://doi.org/10.5194/acp-24-5783-2024, 2024
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We observed the seeder–feeder process among double-layer clouds using a cloud radar and microwave radiometer. By defining the parameters of the seeding depth and seeding time of the upper cloud affecting the lower cloud, we find that the cloud particle terminal velocity is significantly enhanced during the seeder–feeder period, and the lower the height and thinner the thickness of the height difference between double-layer clouds, the lower the height and thicker the thickness of seeding depth.
Kristofer S. Tuftedal, Bernat Puigdomènech Treserras, Mariko Oue, and Pavlos Kollias
Atmos. Chem. Phys., 24, 5637–5657, https://doi.org/10.5194/acp-24-5637-2024, https://doi.org/10.5194/acp-24-5637-2024, 2024
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This study analyzed coastal convective cells from June through September 2018–2021. The cells were classified and their lifecycles were analyzed to better understand their characteristics. Features such as convective-core growth, for example, are shown. The study found differences in the initiation location of shallow convection and in the aerosol loading in deep convective environments. This work provides a foundation for future analyses of convection or other tracked events elsewhere.
Michie Vianca De Vera, Larry Di Girolamo, Guangyu Zhao, Robert M. Rauber, Stephen W. Nesbitt, and Greg M. McFarquhar
Atmos. Chem. Phys., 24, 5603–5623, https://doi.org/10.5194/acp-24-5603-2024, https://doi.org/10.5194/acp-24-5603-2024, 2024
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Tropical oceanic low clouds remain a dominant source of uncertainty in cloud feedback in climate models due to their macrophysical properties (fraction, size, height, shape, distribution) being misrepresented. High-resolution satellite imagery over the Philippine oceans is used here to characterize cumulus macrophysical properties and their relationship to meteorological variables. Such information can act as a benchmark for cloud models and can improve low-cloud generation in climate models.
William K. Jones, Martin Stengel, and Philip Stier
Atmos. Chem. Phys., 24, 5165–5180, https://doi.org/10.5194/acp-24-5165-2024, https://doi.org/10.5194/acp-24-5165-2024, 2024
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Storm clouds cover large areas of the tropics. These clouds both reflect incoming sunlight and trap heat from the atmosphere below, regulating the temperature of the tropics. Over land, storm clouds occur in the late afternoon and evening and so exist both during the daytime and at night. Changes in this timing could upset the balance of the respective cooling and heating effects of these clouds. We find that isolated storms have a larger effect on this balance than their small size suggests.
George Horner and Edward Gryspeerdt
EGUsphere, https://doi.org/10.5194/egusphere-2024-1090, https://doi.org/10.5194/egusphere-2024-1090, 2024
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This work tracks the lifecycle of thin cirrus clouds that flow out of tropical convective storms. These cirrus clouds are found to have a warming effect on the atmosphere over their whole lifetime. Thin cirrus that originate from land origin convection warm more than those of ocean origin. Moreover, if the lifetime of these cirrus clouds increase, the warming they exert over their whole lifetime also increases. These results help us understand how these clouds might change in a future climate.
Shaoyue Qiu, Xue Zheng, David Painemal, Christopher R. Terai, and Xiaoli Zhou
Atmos. Chem. Phys., 24, 2913–2935, https://doi.org/10.5194/acp-24-2913-2024, https://doi.org/10.5194/acp-24-2913-2024, 2024
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The aerosol indirect effect (AIE) depends on cloud states, which exhibit significant diurnal variations in the northeastern Atlantic. Yet the AIE diurnal cycle remains poorly understood. Using satellite retrievals, we find a pronounced “U-shaped” diurnal variation in the AIE, which is contributed to by the transition of cloud states combined with the lagged cloud responses. This suggests that polar-orbiting satellites with overpass times at noon underestimate daytime mean values of the AIE.
Irene Bartolomé García, Odran Sourdeval, Reinhold Spang, and Martina Krämer
Atmos. Chem. Phys., 24, 1699–1716, https://doi.org/10.5194/acp-24-1699-2024, https://doi.org/10.5194/acp-24-1699-2024, 2024
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How many ice crystals of each size are in a cloud is a key parameter for the retrieval of cloud properties. The distribution of ice crystals is obtained from in situ measurements and used to create parameterizations that can be used when analyzing the remote-sensing data. Current parameterizations are based on data sets that do not include reliable measurements of small crystals, but in our study we use a data set that includes very small ice crystals to improve these parameterizations.
Wenyue Wang, Klemens Hocke, Leonardo Nania, Alberto Cazorla, Gloria Titos, Renaud Matthey, Lucas Alados-Arboledas, Agustín Millares, and Francisco Navas-Guzmán
Atmos. Chem. Phys., 24, 1571–1585, https://doi.org/10.5194/acp-24-1571-2024, https://doi.org/10.5194/acp-24-1571-2024, 2024
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The south-central interior of Andalusia experiences complex precipitation patterns as a result of the semi-arid Mediterranean climate and the influence of Saharan dust. This study monitored the inter-relations between aerosols, clouds, meteorological variables, and precipitation systems using ground-based remote sensing and in situ instruments.
Francisco Lang, Steven T. Siems, Yi Huang, Tahereh Alinejadtabrizi, and Luis Ackermann
Atmos. Chem. Phys., 24, 1451–1466, https://doi.org/10.5194/acp-24-1451-2024, https://doi.org/10.5194/acp-24-1451-2024, 2024
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Marine low-level clouds play a crucial role in the Earth's energy balance, trapping heat from the surface and reflecting sunlight back into space. These clouds are distinguishable by their large-scale spatial structures, primarily characterized as hexagonal patterns with either filled (closed) or empty (open) cells. Utilizing satellite observations, these two cloud type patterns have been categorized over the Southern Ocean and North Pacific Ocean through a pattern recognition program.
Julian Hofer, Patric Seifert, J. Ben Liley, Martin Radenz, Osamu Uchino, Isamu Morino, Tetsu Sakai, Tomohiro Nagai, and Albert Ansmann
Atmos. Chem. Phys., 24, 1265–1280, https://doi.org/10.5194/acp-24-1265-2024, https://doi.org/10.5194/acp-24-1265-2024, 2024
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An 11-year dataset of polarization lidar observations from Lauder, New Zealand / Aotearoa, was used to distinguish the thermodynamic phase of natural clouds. The cloud dataset was separated to assess the impact of air mass origin on the frequency of heterogeneous ice formation. Ice formation efficiency in clouds above Lauder was found to be lower than in the polluted Northern Hemisphere midlatitudes but higher than in very clean and pristine environments, such as Punta Arenas in southern Chile.
Hannes Jascha Griesche, Carola Barrientos-Velasco, Hartwig Deneke, Anja Hünerbein, Patric Seifert, and Andreas Macke
Atmos. Chem. Phys., 24, 597–612, https://doi.org/10.5194/acp-24-597-2024, https://doi.org/10.5194/acp-24-597-2024, 2024
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The Arctic is strongly affected by climate change and the role of clouds therein is not yet completely understood. Measurements from the Arctic expedition PS106 were used to simulate radiative fluxes with and without clouds at very low altitudes (below 165 m), and their radiative effect was calculated to be 54 Wm-2. The low heights of these clouds make them hard to observe. This study shows the importance of accurate measurements and simulations of clouds and gives suggestions for improvements.
Thomas D. DeWitt, Timothy J. Garrett, Karlie N. Rees, Corey Bois, Steven K. Krueger, and Nicolas Ferlay
Atmos. Chem. Phys., 24, 109–122, https://doi.org/10.5194/acp-24-109-2024, https://doi.org/10.5194/acp-24-109-2024, 2024
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Viewed from space, a defining feature of Earth's atmosphere is the wide spectrum of cloud sizes. A recent study predicted the distribution of cloud sizes, and this paper compares the prediction to observations. Although there is nuance in viewing perspective, we find robust agreement with theory across different climatological conditions, including land–ocean contrasts, time of year, or latitude, suggesting a minor role for Coriolis forces, aerosol loading, or surface temperature.
Marcus Klingebiel, André Ehrlich, Elena Ruiz-Donoso, Nils Risse, Imke Schirmacher, Evelyn Jäkel, Michael Schäfer, Kevin Wolf, Mario Mech, Manuel Moser, Christiane Voigt, and Manfred Wendisch
Atmos. Chem. Phys., 23, 15289–15304, https://doi.org/10.5194/acp-23-15289-2023, https://doi.org/10.5194/acp-23-15289-2023, 2023
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In this study we explain how we use aircraft measurements from two Arctic research campaigns to identify cloud properties (like droplet size) over sea-ice and ice-free ocean. To make sure that our measurements make sense, we compare them with other observations. Our results show, e.g., larger cloud droplets in early summer than in spring. Moreover, the cloud droplets are also larger over ice-free ocean than compared to sea ice. In the future, our data can be used to improve climate models.
Pablo Saavedra Garfias, Heike Kalesse-Los, Luisa von Albedyll, Hannes Griesche, and Gunnar Spreen
Atmos. Chem. Phys., 23, 14521–14546, https://doi.org/10.5194/acp-23-14521-2023, https://doi.org/10.5194/acp-23-14521-2023, 2023
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An important Arctic climate process is the release of heat fluxes from sea ice openings to the atmosphere that influence the clouds. The characterization of this process is the objective of this study. Using synergistic observations from the MOSAiC expedition, we found that single-layer cloud properties show significant differences when clouds are coupled or decoupled to the water vapour transport which is used as physical link between the upwind sea ice openings and the cloud under observation.
Matthew D. Lebsock and Mikael Witte
Atmos. Chem. Phys., 23, 14293–14305, https://doi.org/10.5194/acp-23-14293-2023, https://doi.org/10.5194/acp-23-14293-2023, 2023
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This paper evaluates measurements of cloud drop size distributions made from airplanes. We find that as the number of cloud drops increases the distribution of the cloud drop sizes narrows. The data are used to develop a simple equation that relates the drop number to the width of the drop sizes. We then use this equation to demonstrate that existing approaches to observe the drop number from satellites contain errors that can be corrected by including the new relationship.
George Horner and Edward Gryspeerdt
Atmos. Chem. Phys., 23, 14239–14253, https://doi.org/10.5194/acp-23-14239-2023, https://doi.org/10.5194/acp-23-14239-2023, 2023
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Tropical deep convective clouds, and the thin cirrus (ice) clouds that flow out from them, are important for modulating the energy budget of the tropical atmosphere. This work uses a new method to track the evolution of the properties of these clouds across their entire lifetimes. We find these clouds cool the atmosphere in the first 6 h before switching to a warming regime after the deep convective core has dissipated, which is sustained beyond 120 h from the initial convective event.
Rodanthi-Elisavet Mamouri, Albert Ansmann, Kevin Ohneiser, Daniel A. Knopf, Argyro Nisantzi, Johannes Bühl, Ronny Engelmann, Annett Skupin, Patric Seifert, Holger Baars, Dragos Ene, Ulla Wandinger, and Diofantos Hadjimitsis
Atmos. Chem. Phys., 23, 14097–14114, https://doi.org/10.5194/acp-23-14097-2023, https://doi.org/10.5194/acp-23-14097-2023, 2023
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For the first time, rather clear evidence is found that wildfire smoke particles can trigger strong cirrus formation. This finding is of importance because intensive and large wildfires may occur increasingly often in the future as climate change proceeds. Based on lidar observations in Cyprus in autumn 2020, we provide detailed insight into the cirrus formation at the tropopause in the presence of aged wildfire smoke (here, 8–9 day old Californian wildfire smoke).
Peter Manshausen, Duncan Watson-Parris, Matthew W. Christensen, Jukka-Pekka Jalkanen, and Philip Stier
Atmos. Chem. Phys., 23, 12545–12555, https://doi.org/10.5194/acp-23-12545-2023, https://doi.org/10.5194/acp-23-12545-2023, 2023
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Aerosol from burning fuel changes cloud properties, e.g., the number of droplets and the content of water. Here, we study how clouds respond to different amounts of shipping aerosol. Droplet numbers increase linearly with increasing aerosol over a broad range until they stop increasing, while the amount of liquid water always increases, independently of emission amount. These changes in cloud properties can make them reflect more or less sunlight, which is important for the earth's climate.
Hendrik Andersen, Jan Cermak, Alyson Douglas, Timothy A. Myers, Peer Nowack, Philip Stier, Casey J. Wall, and Sarah Wilson Kemsley
Atmos. Chem. Phys., 23, 10775–10794, https://doi.org/10.5194/acp-23-10775-2023, https://doi.org/10.5194/acp-23-10775-2023, 2023
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This study uses an observation-based cloud-controlling factor framework to study near-global sensitivities of cloud radiative effects to a large number of meteorological and aerosol controls. We present near-global sensitivity patterns to selected thermodynamic, dynamic, and aerosol factors and discuss the physical mechanisms underlying the derived sensitivities. Our study hopes to guide future analyses aimed at constraining cloud feedbacks and aerosol–cloud interactions.
Anne-Claire Billault-Roux, Paraskevi Georgakaki, Josué Gehring, Louis Jaffeux, Alfons Schwarzenboeck, Pierre Coutris, Athanasios Nenes, and Alexis Berne
Atmos. Chem. Phys., 23, 10207–10234, https://doi.org/10.5194/acp-23-10207-2023, https://doi.org/10.5194/acp-23-10207-2023, 2023
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Secondary ice production plays a key role in clouds and precipitation. In this study, we analyze radar measurements from a snowfall event in the Jura Mountains. Complex signatures are observed, which reveal that ice crystals were formed through various processes. An analysis of multi-sensor data suggests that distinct ice multiplication processes were taking place. Both the methods used and the insights gained through this case study contribute to a better understanding of snowfall microphysics.
Rebecca J. Murray-Watson, Edward Gryspeerdt, and Tom Goren
Atmos. Chem. Phys., 23, 9365–9383, https://doi.org/10.5194/acp-23-9365-2023, https://doi.org/10.5194/acp-23-9365-2023, 2023
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Clouds formed in Arctic marine cold air outbreaks undergo a distinct evolution, but the factors controlling their transition from high-coverage to broken cloud fields are poorly understood. We use satellite and reanalysis data to study how these clouds develop in time and the different influences on their evolution. The aerosol concentration is correlated with cloud break-up; more aerosol is linked to prolonged coverage and a stronger cooling effect, with implications for a more polluted Arctic.
Michael S. Diamond
Atmos. Chem. Phys., 23, 8259–8269, https://doi.org/10.5194/acp-23-8259-2023, https://doi.org/10.5194/acp-23-8259-2023, 2023
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Fuel sulfur regulations were implemented for ships in 2020 to improve air quality but may also accelerate global warming. We use spatial statistics and satellite retrievals to detect changes in the size of cloud droplets and find evidence for a resulting decrease in cloud brightness within a major shipping corridor after the sulfur limits went into effect. Our results confirm both that the regulations are being followed and that they are having a warming influence via their effect on clouds.
Hao Luo, Johannes Quaas, and Yong Han
Atmos. Chem. Phys., 23, 8169–8186, https://doi.org/10.5194/acp-23-8169-2023, https://doi.org/10.5194/acp-23-8169-2023, 2023
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Clouds exhibit a wide range of vertical structures with varying microphysical and radiative properties. We show a global survey of spatial distribution, vertical extent and radiative effect of various classified cloud vertical structures using joint satellite observations from the new CCCM datasets during 2007–2010. Moreover, the long-term trends in CVSs are investigated based on different CMIP6 future scenarios to capture the cloud variations with different, increasing anthropogenic forcings.
Gregor Köcher, Tobias Zinner, and Christoph Knote
Atmos. Chem. Phys., 23, 6255–6269, https://doi.org/10.5194/acp-23-6255-2023, https://doi.org/10.5194/acp-23-6255-2023, 2023
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Polarimetric radar observations of 30 d of convective precipitation events are used to statistically analyze 5 state-of-the-art microphysics schemes of varying complexity. The frequency and area of simulated heavy-precipitation events are in some cases significantly different from those observed, depending on the microphysics scheme. Analysis of simulated particle size distributions and reflectivities shows that some schemes have problems reproducing the correct particle size distributions.
Claudia J. Stubenrauch, Giulio Mandorli, and Elisabeth Lemaitre
Atmos. Chem. Phys., 23, 5867–5884, https://doi.org/10.5194/acp-23-5867-2023, https://doi.org/10.5194/acp-23-5867-2023, 2023
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Organized convection leads to large convective cloud systems and intense rain and may change with a warming climate. Their complete 3D description, attained by machine learning techniques in combination with various satellite observations, together with a cloud system concept, link convection to anvil properties, while convective organization can be identified by the horizontal structure of intense rain.
Scott E. Giangrande, Thiago S. Biscaro, and John M. Peters
Atmos. Chem. Phys., 23, 5297–5316, https://doi.org/10.5194/acp-23-5297-2023, https://doi.org/10.5194/acp-23-5297-2023, 2023
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Our study tracks thunderstorms observed during the wet and dry seasons of the Amazon Basin using weather radar. We couple this precipitation tracking with opportunistic overpasses of a wind profiler and other ground observations to add unique insights into the upwards and downwards air motions within these clouds at various stages in the storm life cycle. The results of a simple updraft model are provided to give physical explanations for observed seasonal differences.
Edward Gryspeerdt, Adam C. Povey, Roy G. Grainger, Otto Hasekamp, N. Christina Hsu, Jane P. Mulcahy, Andrew M. Sayer, and Armin Sorooshian
Atmos. Chem. Phys., 23, 4115–4122, https://doi.org/10.5194/acp-23-4115-2023, https://doi.org/10.5194/acp-23-4115-2023, 2023
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The impact of aerosols on clouds is one of the largest uncertainties in the human forcing of the climate. Aerosol can increase the concentrations of droplets in clouds, but observational and model studies produce widely varying estimates of this effect. We show that these estimates can be reconciled if only polluted clouds are studied, but this is insufficient to constrain the climate impact of aerosol. The uncertainty in aerosol impact on clouds is currently driven by cases with little aerosol.
Zackary Mages, Pavlos Kollias, Zeen Zhu, and Edward P. Luke
Atmos. Chem. Phys., 23, 3561–3574, https://doi.org/10.5194/acp-23-3561-2023, https://doi.org/10.5194/acp-23-3561-2023, 2023
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Cold-air outbreaks (when cold air is advected over warm water and creates low-level convection) are a dominant cloud regime in the Arctic, and we capitalized on ground-based observations, which did not previously exist, from the COMBLE field campaign to study them. We characterized the extent and strength of the convection and turbulence and found evidence of secondary ice production. This information is useful for model intercomparison studies that will represent cold-air outbreak processes.
Maria P. Cadeddu, Virendra P. Ghate, David D. Turner, and Thomas E. Surleta
Atmos. Chem. Phys., 23, 3453–3470, https://doi.org/10.5194/acp-23-3453-2023, https://doi.org/10.5194/acp-23-3453-2023, 2023
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We analyze the variability in marine boundary layer moisture at the Eastern North Atlantic site on a monthly and daily temporal scale and examine its fundamental role in the control of boundary layer cloudiness and precipitation. The study also highlights the complex interaction between large-scale and local processes controlling the boundary layer moisture and the importance of the mesoscale spatial distribution of vapor to support convection and precipitation.
Zhenquan Wang, Jian Yuan, Robert Wood, Yifan Chen, and Tiancheng Tong
Atmos. Chem. Phys., 23, 3247–3266, https://doi.org/10.5194/acp-23-3247-2023, https://doi.org/10.5194/acp-23-3247-2023, 2023
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This study develops a novel profile-based algorithm based on the ERA5 to estimate the inversion strength in the planetary boundary layer better than the previous inversion index, which is a key low-cloud-controlling factor. This improved measure is more effective at representing the meteorological influence on low-cloud variations. It can better constrain the meteorological influence on low clouds to better isolate cloud responses to aerosols or to estimate low cloud feedbacks in climate models.
Georgios Dekoutsidis, Silke Groß, Martin Wirth, Martina Krämer, and Christian Rolf
Atmos. Chem. Phys., 23, 3103–3117, https://doi.org/10.5194/acp-23-3103-2023, https://doi.org/10.5194/acp-23-3103-2023, 2023
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Cirrus clouds affect Earth's atmosphere, deeming our study important. Here we use water vapor measurements by lidar and study the relative humidity (RHi) within and around midlatitude cirrus clouds. We find high supersaturations in the cloud-free air and within the clouds, especially near the cloud top. We study two cloud types with different formation processes. Finally, we conclude that the shape of the distribution of RHi can be used as an indicator of different cloud evolutionary stages.
Cited articles
Andreae, M. O., Rosenfeld, D., Artaxo, P., Costa, A. A., Frank, G. P., Longo,
K. M., and Silva-Dias, M. A. F.: Smoking Rain Clouds over the Amazon,
Science, 303, 1337–1342, https://doi.org/10.1126/science.1092779, 2004.
Arakawa, A.: Modelling clouds and cloud processes for use in climate models,
The Physical Basis of Climate and Climate Modelling, WMO, Geneva,
Switzerland, GARP Publications Series No. 16, 100–120, 1975.
Arakawa, A.: The cumulus parameterization problem: Past, present, and future,
J. Climate, 217, 2493–2525, 2004.
Avery, M. A., Davis, S. M., Rosenlof, K. H., Ye, H., and Dessler, A. E.:
Large anomalies in lower stratospheric water vapour and ice during the
2015–2016 El Niño, Nat. Geosci., 110, 405–410, https://doi.org/10.1038/NGEO2961,
2017.
Batchelor, G. K.: Heat convection and buoyancy effects in fluids, Q. J. Roy.
Meteor. Soc., 80, 339–358, https://doi.org/10.1002/qj.49708034504, 1954.
Battan, L. J.: Radar Observations of the Atmosphere, University of Chicago
Press, Chicago, Illinois, USA, 324 pp., 1973.
Bodas-Salcedo, A., Webb, M. J., Brooks, M. E., Ringer, M. A., William, K. D.,
Milton, S. F., and Wilson, D. R.: Evaluating cloud systems in the Met Office
global forecast model using simulated CloudSat radar reflectivities,
J. Geophys. Res., 113, D00A13, https://doi.org/10.1029/2007JD009620, 2008.
Bouniol, D., Delanoë, J., Duroure, C., Protat, A., Giraud, V., and
Penide, G.: Microphysical characterisation of West African MCS anvils, Q. J.
Roy. Meteor. Soc., 136, 323–344, 2010.
Bryan, G. H., Wyngaard, J. C., and Fritsch, J. M.: Resolution requirements
for the simulation of deep moist convection, Mon. Weather Rev., 131,
2394–2416,
https://doi.org/10.1175/1520-0493(2003)131<2394:RRFTSO>2.0.CO;2,
2003.
Burleyson, C. D., Feng, Z., Hagos, S. M., Fast, J., Machado, L. A. T., and
Martin, S. T.: Spatial variability of the background diurnal cycle of deep
convection around the GoAmazon2014/5 field campaign sites, J. Appl. Meteorol.
Clim., 55, 1579–1598, https://doi.org/10.1175/JAMC-D-15-0229.1, 2016.
Carpenter, R. L., Droegemeier, K. K., and Blyth, A. M.: Entrainment and
Detrainment in Numerically Simulated Cumulus Congestus Clouds. Part III:
Parcel Analysis, J. Atmos. Sci., 55, 3440–3455, 1998.
Cetrone, J. and Houze Jr., R. A.: Anvil clouds of tropical mesoscale
convective systems in monsoon regions, Q. J. Roy. Meteor. Soc., 135,
305–317, https://doi.org/10.1002/qj.389, 2009.
Chaboureau, J.-P., Guichard, F., Redelsperger, J.-L., and Lafore, J.-P.: The
role of stability and moisture in the diurnal cycle of convection over land,
Q. J. Roy. Meteor. Soc., 130, 3105–3117, https://doi.org/10.1256/qj.03.132, 2004.
Corti, T., Luo, B. P., de Reus, M., Brunner, D., Cairo, F., Mahoney, M. J.,
Martucci, G., Matthey, R., Mitev, V., dos Santos, F. H., Schiller, C., Shur,
G., Sitnikov, N. M., Spelten, N., Vössing, H. J., Borrmann, S., and
Peter, T.: Unprecedented evidence for deep convection hydrating the tropical
stratosphere, Geophys. Res. Lett., 35, L10810, https://doi.org/10.1029/2008GL033641,
2008.
Dai, A., Giorgi, F., and Trenberth,K. E. : Observed and model-simulated
diurnal cycles of precipitation over the contiguous United States,
J. Geophys. Res., 104, 6377–6402, 1999.
Dawson, D. T., Xue, M., Milbrandt, J. A., and Yau, M. K.: Comparison of
evaporation and cold pool development between single-moment and multimoment
bulk microphysics schemes in idealized simulations of tornadic thunderstorms,
Mon. Weather Rev., 138, 1152–1171, https://doi.org/10.1175/2009MWR2956.1, 2010.
Del Genio, A. D., Chen, Y., Kim, D., and Yao, M.-S.: The MJO transition from
shallow to deep convection in CloudSat/CALIPSO data and GISS GCM simulations,
J. Climate, 25, 3755–3770, 2012.
Dodson, J. B. and Taylor, P. C.: Sensitivity of Amazonian TOA flux diurnal
cycle composite monthly variability to choice of reanalysis, J. Geophys.
Res.-Atmos., 121, 4404–4428, https://doi.org/10.1002/2015JD024567, 2016.
Dodson, J. B., Randall, D. A., and Suzuki, K.: Comparison of observed and
simulated tropical cumuliform clouds by CloudSat and NICAM, J. Geophys. Res.
Atmos., 118, 1852–1867, https://doi.org/10.1002/jgrd.50121, 2013.
Fu, R., Genio, D., Anthony, D., and Rossow, W. B.: Behavior of deep
convective clouds in the tropical Pacific deduced from ISCCP radiances,
J. Climate, 3, 1129–1152, 1990.
Fu, R., Zhu, B., and Dickinson, R. E.: How Do Atmosphere and Land Surface
Influence Seasonal Changes of Convection in the Tropical Amazon?, J. Climate,
12, 1306–1321, 1999.
Giangrande, S. E., Toto, T., Jensen, M. P., Bartholomew, M. J., Feng, Z.,
Protat, A., Williams, C. R., Schumacher, C., and Machado, L.: Convective
cloud vertical velocity and mass-flux characteristics from radar wind
profiler observations during GoAmazon2014/5, J. Geophys. Res.-Atmos., 121,
12891–12913, https://doi.org/10.1002/2016JD025303, 2016.
Gilmore, M. S., Straka, J. M., and Rasmussen, E. K.: Precipitation and
Evolution Sensitivity in Simulated Deep Convective Storms: Comparisons
between Liquid-Only and Simple Ice and Liquid Phase Microphysics, Mon.
Weather Rev., 132, 1897–1916, 2004.
Grabowski, W., Wu, X., and Moncrieff, M.: Cloud resolving modeling of
tropical cloud systems during Phase III of GATE. Part III: Effects of cloud
microphysics, J. Atmos. Sci., 56, 2384–2402, 1999.
Haynes, J. M., Marchand, R. T., Luo, Z., Bodas-Salcedo, A., and Stephens, G.
L.: A multi-purpose radar simulation package: QuickBeam, B. Am. Meteorol.
Soc., 88, 1723–1727, 2007.
Hou, A. Y., Kakar, R. K., Neeck, S., Azarbarzin, A. A., Kummerow, C. D.,
Kojima, M., Oki, R., Nakamura, K., and Iguchi, T.: The global precipitation
measurement (GPM) mission, B. Am. Meteorol. Soc., 95, 701–722,
https://doi.org/10.1175/BAMS-D-13-00164.1, 2014.
Igel, A. L., Igel, M. R., and van den Heever, S. C.: Make it a double?
Sobering results from simulations using single-moment microphysics schemes,
J. Atmos. Sci., 72, 910–925, https://doi.org/10.1175/JAS-D-14-0107.1, 2015.
Itterly, K. F. and Taylor, P. C.: Evaluation of the tropical TOA flux diurnal
cycle in MERRA and ERA-Interim retrospective analyses, J. Climate, 27,
4781–4796, 2014.
Itterly, K. F., Taylor, P. C., Dodson, J. B., and Tawfik, A. B.: On the
sensitivity of the diurnal cycle in the Amazon to convective intensity,
J. Geophys. Res.-Atmos., 121, 8186–8208, https://doi.org/10.1002/2016JD025039, 2016.
Janowiak, J. E., Kousky, V. E., and Joyce, R. J.: Diurnal cycle of
precipitation determined from the CMORPH high spatial and temporal resolution
global precipitation analyses, J. Geophys. Res., 110, D23105,
https://doi.org/10.1029/2005JD006156, 2005.
Johnson, R. H., Rickenbach, T. M., Rutledge, S. A., Ciesielski, P. E., and
Schubert, W. A.: Trimodal Characteristic of Tropical Convection, J. Climate,
12, 2397–2418, 1999.
Johnston, H. S. and Solomon, S.: Thunderstorms as possible
micrometeorological sink for stratospheric water, J. Geophys. Res., 84,
3155–3158, https://doi.org/10.1029/JC084iC06p03155, 1979.
Khairoutdinov, M., Randall, D. A., 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.
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, 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 Syst., 1, 15, https://doi.org/10.3894/JAMES.2009.1.15, 2009.
Kikuchi, K. and Wang, B.: Diurnal precipitation regimes in the global
tropics, J. Climate, 21, 2680–2696, https://doi.org/10.1175/2007JCLI2051.1, 2008.
Kooperman, G. J., Pritchard, M. S., and Somerville, R. C. J.: Robustness and
sensitivities of central U.S. summer convection in the super-parameterized
CAM: Multimodel intercomparison with a new regional EOF index, Geophys. Res.
Lett., 40, 3287–3291, https://doi.org/10.1002/grl.50597, 2013.
Kummerow, C., Barnes, W., Kozu, T., Shiue, J., and Simpson, J.: The Tropical
Rainfall Measuring Mission (TRMM) sensor package, J. Atmos. Ocean. Tech., 15,
809–817, 1998.
Li, X., Sui, C.-H., Lau, K.-M., and Tao, W.-K.: Tropical convective responses
to microphysical and radiative processes: A 2D cloud-resolving modeling
study, Meteorol. Atmos. Phys., 90, 245–259, 2005.
Lin, J. C., Matsui, T., Pielke Sr., R. A., and Kummerow, C.: Effects of
biomass-burning-derived aerosols on precipitation and clouds in the Amazon
Basin: a satellite-based empirical study, J. Geophys. Res., 111, D19204,
https://doi.org/10.1029/2005JD006884, 2006.
Lin, X., Randall, D. A., and Fowler, L. D.: Diurnal variability of the
hydrologic cycle and radiative fluxes: Comparisons between observations and a
GCM, J. Climate, 13, 4159–4179,
https://doi.org/10.1175/1520-0442(2000)013<4159:DVOTHC>2.0.CO;2,
2000.
Liu, C. and Zipser, E. J.: The global distribution of largest, deepest, and
most intense precipitation systems, Geophys. Res. Lett., 42, 3591–3595,
https://doi.org/10.1002/2015GL063776, 2015.
Liu, C., Zipser, E., and Nesbitt, S. W.: Global distribution of tropical deep
convection: Different perspectives from TRMM infrared and radar data,
J. Climate, 20, 489–503, https://doi.org/10.1175/JCLI4023.1, 2007.
Liu, C., Zipser, E. J., Mace, G. G., and Benson, S.: Implications of the
differences between daytime and nighttime CloudSat observations over the
tropics, J. Geophys. Res., 113, D00A04, https://doi.org/10.1029/2008JD009783, 2008.
Liu, N. and Liu, C.: Global distribution of deep convection reaching
tropopause in 1 year GPM observations, J. Geophys. Res.-Atmos., 121,
3824–3842, https://doi.org/10.1002/2015JD024430, 2016.
Mace, G. G., Marchand, R., Zhang, Q., and Stephens, G.: Global hydrometeor
occurrence as observed by CloudSat: Initial observations from summer 2006,
Geophys. Res. Lett., 34, L09808, https://doi.org/10.1029/2006GL029017, 2007.
Machado, L. A. T., Rossow, W. B., Guedes, R. L., and Walker, A. W.: Life
Cycle Variations of Mesoscale Convective Systems over the Americas, Mon.
Weather Rev., 126, 1630–1624, 1998.
Marchand, R., Mace, G. G., Ackerman, T., and Stephens, G.: Hydrometeor
Detection Using Cloudsat–An Earth–Orbiting 94-GHz Cloud Radar, J. Atmos.
Oceanic Technol., 25, 519–533, 2008.
Marengo, J. A., Liebmann, B., Kousky, V. E., Filizola, N. P., and Wainer, I.
C.: Onset and End of the Rainy Season in the Brazilian Amazon Basin,
J. Climate, 14, 833–852, 2001.
Martin, S. T., Artaxo, P., Machado, L., Manzi, A. O., Souza, R. A. F.,
Schumacher, C., Wang, J., Biscaro, T., Brito, J., Calheiros, A., Jardine, K.,
Medeiros, A., Portela, B., de Sá, S. S., Adachi, K., Aiken, A. C.,
Albrecht, R., Alexander, L., Andreae, M. O., Barbosa, H. M. J., Buseck, P.,
Chand, D., Comstock, J. M., Day, D. A., Dubey, M., Fan, J., Fast, J., Fisch,
G., Fortner, E., Giangrande, S., Gilles, M., Goldstein, A. H., Guenther, A.,
Hubbe, J., Jensen, M., Jimenez, J. L., Keutsch, F. N., Kim, S., Kuang, C.,
Laskin, A., McKinney, K., Mei, F., Miller, M., Nascimento, R., Pauliquevis,
T., Pekour, M., Peres, J., Petäjä, T., Pöhlker, C., Pöschl,
U., Rizzo, L., Schmid, B., Shilling, J. E., Silva Dias, M. A., Smith, J. N.,
Tomlinson, J. M., Tóta, J., and Wendisch, M.: The Green Ocean Amazon
Experiment (GoAmazon2014/5) Observes Pollution Affecting Gases, Aerosols,
Clouds, and Rainfall over the Rain Forest, B. Am. Meteorol. Soc., 98,
981–997, https://doi.org/10.1175/BAMS-D-15-00221.1, 2017.
Martin, S. T., Artaxo, P., Machado, L. A. T., Manzi, A. O., Souza, R. A. F.,
Schumacher, C., Wang, J., Andreae, M. O., Barbosa, H. M. J., Fan, J., Fisch,
G., Goldstein, A. H., Guenther, A., Jimenez, J. L., Pöschl, U., Silva
Dias, M. A., Smith, J. N., and Wendisch, M.: Introduction: Observations and
Modeling of the Green Ocean Amazon (GoAmazon2014/5), Atmos. Chem. Phys., 16,
4785–4797, https://doi.org/10.5194/acp-16-4785-2016, 2016.
McCumber, M., Tao, W.-K., Simpson, J., Penc, R., and Soong, S.-T.: Comparison
of ice-phase microphysical parameterization schemes using numerical
simulations of tropical convection, J. Appl. Meteorol., 30, 985–1004, 1991.
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.
Morrison, H., Thompson, G., and Tatarskii, V.: Impact of cloud microphysics
on the development of trailing stratiform precipitation in a simulated squall
line: Comparison of one- and two-moment schemes, Mon. Weather Rev., 137,
991–1007, https://doi.org/10.1175/2008MWR2556.1, 2009.
Nam, C. and Quaas, J.: Evaluation of clouds and precipitation in the ECHAM5
general circulation model using CALIPSO and CloudSat satellite data,
J. Climate, 25, 4975–4992, 2012.
Nesbitt, S. W. and Zipser, E. J.: The diurnal cycle of rainfall and
convective intensity according to three years of TRMM measurements,
J. Climate, 16, 1456–1475, https://doi.org/10.1175/1520-0442-16.10.1456, 2003.
Petch, J. C., Brown, A. R., and Gray, M. E. B. : The impact of horizontal
resolution on the simulations of convective development over land, Q. J. Roy.
Meteor. Soc., 128, 2031–2044, 2002.
Petersen, W. A. and Rutledge, S. A.: Regional variability in tropical
convection: Observations from TRMM, J. Climate, 14, 3566–3586, 2001.
Raia, A. and Cavalcanti, I. F. A.: The Life Cycle of the South American
Monsoon System, J. Climate, 21, 6227–6246, 2008.
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.
Riihimaki, L. D. and McFarlane, S. A.: Frequency and morphology of tropical
tropopause layer cirrus from CALIPSO observations: Are isolated cirrus
different from those connected to deep convection?, J. Geophys. Res., 115,
D18201, https://doi.org/10.1029/2009JD013133, 2010.
Sassen, K., Matrosov, S., and Campbell, J.: CloudSat spaceborne 94 GHz radar
bright bands in the melting layer: An attenuation-driven upside-down lidar
analog, Geophys. Res. Lett., 34, L16818, https://doi.org/10.1029/2007GL030291, 2007.
Sassen, K., Wang, Z., and Liu, D.: Cirrus clouds and deep convection in the
tropics: Insights from CALIPSO and CloudSat, J. Geophys. Res., 114, D00H06,
https://doi.org/10.1029/2009JD011916, 2009.
Satoh, M., Inoue, T., and Miura, H.: Evaluations of cloud properties of
global and local cloud system resolving models using CALIPSO and CloudSat
simulators, J. Geophys. Res., 115, D00H14, https://doi.org/10.1029/2009JD012247, 2010.
Schumacher, C., Houze Jr., R. A., and Kraucunas, I.: The tropical dynamical
response to latent heating estimates derived from the TRMM Precipitation
Radar, J. Atmos. Sci., 61, 1341–1358, 2004.
Scorer, R. S. and Ludlam, F. H.: Bubble theory of penetrative convection,
Q. J. Roy. Meteor. Soc., 79, 94–103, https://doi.org/10.1002/qj.49707933908, 1953.
Sherwood, S. C., Hernández-Deckers, D., and Colin, M.: Slippery Thermals
and the Cumulus Entrainment Paradox, J. Atmos. Sci., 70, 2426–2442, 2013.
Stephens, G. L., Vane, D. G., Tanelli, S., Im, E., Durden, S., Rokey, M.,
Reinke, D., Partain, P., Mace, G. G., Austin, R., L'Ecuyer, T., Haynes, J.,
Lebsock, M., Suzuki, K., Waliser, D., Wu, D., Kay, J., Gettelman, A., Wang,
Z., and Marchand, R.: CloudSat mission: Performance and early science after
the first year of operation, J. Geophys. Res., 113, D00A18,
https://doi.org/10.1029/2008JD009982, 2008.
Swann, H.: Sensitivity to the representation of precipitating ice in CRM
simulations of deep convection, Atmos. Res., 47–48, 415–435,
https://doi.org/10.1016/S0169-8095(98)00050-7, 1998.
Tang, S., Xie, S., Zhang, Y., Zhang, M., Schumacher, C., Upton, H., Jensen,
M. P., Johnson, K. L., Wang, M., Ahlgrimm, M., Feng, Z., Minnis, P., and
Thieman, M.: Large-scale vertical velocity, diabatic heating and drying
profiles associated with seasonal and diurnal variations of convective
systems observed in the GoAmazon2014/5 experiment, Atmos. Chem. Phys., 16,
14249–14264, https://doi.org/10.5194/acp-16-14249-2016, 2016.
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.
Taylor, P. C.: Variability of monthly diurnal cycle composites of TOA
radiative fluxes in the tropics, J. Atmos. Sci., 71, 754–776,
https://doi.org/10.1175/JAS-D-13-0112.1, 2014a.
Taylor, P. C.: Variability of Regional TOA Flux Diurnal Cycle Composites at
the Monthly Time Scale, J. Atmos. Sci., 71, 3484–3498,
https://doi.org/10.1175/JAS-D-13-0336.1, 2014b.
Tian, B., Soden, B. J., and Wu, X.: Diurnal cycle of convection, clouds, and
water vapor in the tropical upper troposphere: Satellites versus a general
circulation model, J. Geophys. Res., 109, D10101, https://doi.org/10.1029/2003JD004117,
2004.
Van Weverberg, K., Vogelmann, A. M., Morrison, H., and Milbrandt, J. A.:
Sensitivity of idealized squall-line simulations to the level of complexity
used in two-moment bulk microphysics schemes, Mon. Weather Rev., 140,
1883–1907, https://doi.org/10.1175/MWR-D-11-00120.1, 2012.
Waliser, D. E., Li, J.-L. F., Woods, C. P., Austin, R. T., Bacmeister, J.,
Chern, J., Del Genio, A., Jiang, J. H., Kuang, Z., Meng, H., Minnis, P.,
Platnick, S., Rossow, W. B., Stephens, G. L., Sun-Mack, S., Tao, W.-K.,
Tompkins, A. M., Vane, D. G., Walker C., and Wu, D.: Cloud ice: A climate model challenge with signs and
expectations of progress, J. Geophys. Res., 114, D00A21,
https://doi.org/10.1029/2008JD010015, 2009.
Wallace, J. M.: Diurnal variations in precipitation and thunderstorm
frequency over the conterminous United States, Mon. Weather Rev., 103,
406–419, 1975.
Wang, M., Ghan, S., Easter, R., Ovchinnikov, M., Liu, X., Kassianov, E.,
Qian, Y., Gustafson Jr., W. I., Larson, V. E., Schanen, D. P., Khairoutdinov,
M., and Morrison, H.: The multi-scale aerosol-climate model PNNL-MMF: model
description and evaluation, Geosci. Model Dev., 4, 137–168,
https://doi.org/10.5194/gmd-4-137-2011, 2011.
Wang, Z. and Sassen, K.: Cloud type and macrophysical property retrieval
using multiple remote sensors, J. Appl. Meteorol., 40, 1665–1682, 2001.
Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z.,
Hunt, W. H., and Young, S. A.: Overview of the CALIPSO Mission and CALIOP
data processing algorithms, J. Atmos. Ocean. Tech., 26, 2310–2323,
https://doi.org/10.1175/2009JTECHA1281.1, 2009.
Yamamoto, M. K., Furuzawa, F. A., Higuchi, A., and Nakamura, K.: Comparison
of diurnal variations of precipitation systems observed by TRMMPR, TMI, and
VIRS, J. Climate, 21, 4011–4028, 2008.
Yang, G.-Y. and Slingo, J.: The diurnal cycle in the tropics, Mon. Weather
Rev., 129, 784–801,
https://doi.org/10.1175/1520-0493(2001)129<0784:TDCITT>2.0.CO;2,
2001.
Yuan, J., Houze Jr., R. A., and Heymsfield, A. J.: Vertical structures of
anvil clouds of tropical mesoscale convective systems observed by CloudSat,
J. Atmos. Sci., 68, 1653–1674, https://doi.org/10.1175/2011JAS3687.1, 2011.
Zhang, Y., Klein, S. A., Liu, C., Tian, B., Marchand, R. T., Haynes, J. M.,
McCoy, R. B., Zhang, Y., and Ackerman, T. P.: On the diurnal cycle of deep
convection, high-level cloud, and upper troposphere water vapor in the
Multiscale Modeling Framework, J. Geophys. Res., 113, D16105,
https://doi.org/10.1029/2008JD009905, 2008.
Zhou, T., Yu, R., Chen, H., Dai, A., and Pan, Y.: Summer precipitation
frequency, intensity, and diurnal cycle over China: A Comparison of Satellite
Data with Rain Gauge Observations, J. Climate, 21, 3997–4010, 2008.
Short summary
The vertical profiles of convection in the Amazon are sampled using CloudSat, with particular emphasis on day–night contrast. Focusing on vigorous deep convective cores reveals a distinct, previously unreported double-arc reflectivity feature in the contoured frequency by altitude diagram, likely corresponding with two modes of ice hydrometeor phase: snow versus graupel/hail. Replicating this feature in cloud-resolving models requires further improvements in the microphysical parameterization.
The vertical profiles of convection in the Amazon are sampled using CloudSat, with particular...
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