Littérature scientifique sur le sujet « Aggregation of convection »
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Articles de revues sur le sujet "Aggregation of convection"
Shamekh, Sara, Caroline Muller, Jean-Philippe Duvel et Fabio D’Andrea. « How Do Ocean Warm Anomalies Favor the Aggregation of Deep Convective Clouds ? » Journal of the Atmospheric Sciences 77, no 11 (1 novembre 2020) : 3733–45. http://dx.doi.org/10.1175/jas-d-18-0369.1.
Texte intégralJung, Hyunju, Ann Kristin Naumann et Bjorn Stevens. « Convective self–aggregation in a mean flow ». Atmospheric Chemistry and Physics 21, no 13 (8 juillet 2021) : 10337–45. http://dx.doi.org/10.5194/acp-21-10337-2021.
Texte intégralBretherton, Christopher S., Peter N. Blossey et Marat Khairoutdinov. « An Energy-Balance Analysis of Deep Convective Self-Aggregation above Uniform SST ». Journal of the Atmospheric Sciences 62, no 12 (1 décembre 2005) : 4273–92. http://dx.doi.org/10.1175/jas3614.1.
Texte intégralSchulz, Hauke, et Bjorn Stevens. « Observing the Tropical Atmosphere in Moisture Space ». Journal of the Atmospheric Sciences 75, no 10 (octobre 2018) : 3313–30. http://dx.doi.org/10.1175/jas-d-17-0375.1.
Texte intégralTobin, Isabelle, Sandrine Bony et Remy Roca. « Observational Evidence for Relationships between the Degree of Aggregation of Deep Convection, Water Vapor, Surface Fluxes, and Radiation ». Journal of Climate 25, no 20 (4 juin 2012) : 6885–904. http://dx.doi.org/10.1175/jcli-d-11-00258.1.
Texte intégralWarren, P. B., R. C. Ball et A. Boelle. « Convection-Limited Aggregation ». Europhysics Letters (EPL) 29, no 4 (1 février 1995) : 339–44. http://dx.doi.org/10.1209/0295-5075/29/4/012.
Texte intégralLi, Bo-Wei, Min-Cheng Zhong et Feng Ji. « Laser Induced Aggregation of Light Absorbing Particles by Marangoni Convection ». Applied Sciences 10, no 21 (3 novembre 2020) : 7795. http://dx.doi.org/10.3390/app10217795.
Texte intégralMuller, Caroline J., et Isaac M. Held. « Detailed Investigation of the Self-Aggregation of Convection in Cloud-Resolving Simulations ». Journal of the Atmospheric Sciences 69, no 8 (1 août 2012) : 2551–65. http://dx.doi.org/10.1175/jas-d-11-0257.1.
Texte intégralWindmiller, Julia M., et George C. Craig. « Universality in the Spatial Evolution of Self-Aggregation of Tropical Convection ». Journal of the Atmospheric Sciences 76, no 6 (1 juin 2019) : 1677–96. http://dx.doi.org/10.1175/jas-d-18-0129.1.
Texte intégralBoos, William R., Alexey Fedorov et Les Muir. « Convective Self-Aggregation and Tropical Cyclogenesis under the Hypohydrostatic Rescaling ». Journal of the Atmospheric Sciences 73, no 2 (27 janvier 2016) : 525–44. http://dx.doi.org/10.1175/jas-d-15-0049.1.
Texte intégralThèses sur le sujet "Aggregation of convection"
Shamekh, Sara. « The impact of sea surface temperature on the aggregation of deep convective clouds ». Electronic Thesis or Diss., Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLE041.
Texte intégralThis study investigates the impact of Sea Surface Temperature (SST) heterogeneities on the aggregation of convective clouds, using 3D cloudresolving simulations of radiativeconvective equilibrium. The SST heterogeneities are either imposed or interactive. In imposed cases, a spatiotemporally fixed warm SST anomaly (Hot-spot) with radius R and temperature anomaly ΔT is introduced at the center of the domain. The hot-spot significantly accelerates aggregation and extends the range of SSTs for which aggregation occurs. A convective instability over the hot-spot leads to stronger convection and generates a large-scale circulation, forcing subsidence drying outside the hot-spot. A large/warm hot-spot drives the aggregation even without radiative feedbacks. In cases where SST heterogeneities are interactive, the ocean is modeled as one layer slab ocean, with a constant mean but spatially varying temperature. The interactive SST decelerates the aggregation, especially with shallower slab. SST anomaly in dry regions is positive at first, thus opposing the diverging shallow circulation known to favor self-aggregation. With further drying, it becomes negative and favors the shallow circulation. The shallow circulation is found to be well correlated with the aggregation speed. It can be linked to a positive surface pressure anomaly, itself the consequence of SST anomalies and boundary layer radiative cooling. Including a diurnal cycle in simulations with interactive SST results in faster triggering of dry patches and accelerates the aggregation for shallow slabs, thus reducing the dependency of aggregation on slab depth
Wing, Allison A. « Physical mechanisms controlling self-aggregation of convection in idealized numerical modeling simulations ». Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90606.
Texte intégralThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 141-146).
The ubiquity of cloud clusters and their role in modulating radiative cooling and the moisture distribution underlines the importance of understanding how and why tropical convection organizes. In this work, the fundamental mechanism underlying the self-aggregation of convection is explored using a cloud resolving model. The objective is to identify and quantify the interactions between the environment and the convection that allow the convection to spontaneously organize into a single cluster. Specifically, the System for Atmospheric Modeling is used to perform 3-d cloud system resolving simulations of radiative-convective equilibrium in a non-rotating framework, with interactive radiation and surface fluxes and fixed sea surface temperature. Self-aggregation only occurs at sea surface temperatures above a certain threshold. As the system evolves to an aggregated state, there are large changes to domain averaged quantities important to climate, such as radiative fluxes and moisture. Notably, self-aggregation begins as a dry patch that expands, eventually forcing all the convection into a single clump. Thus, when examining the initiation of self-aggregation, we focus on processes that can amplify this initial dry patch. Sensitivity tests suggest that wind-dependent surface fluxes and interactive longwave radiative fluxes are important for permitting self-aggregation. A novel method is introduced to quantify the magnitudes of the various feedbacks that control self-aggregation within the framework of the budget for the spatial variance of column - integrated frozen moist static energy. The absorption of shortwave radiation by atmospheric water vapor is found to be a key positive feedback in the evolution of aggregation. In addition, there is a positive wind speed - surface flux feedback whose role is to counteract a negative air-sea enthalpy disequilibrium - surface flux feedback. The longwave radiation - water vapor feedback transitions from positive to negative in the early and intermediate stages of aggregation. The long-wave radiation - cloud feedback is the dominant positive feedback that maintains the aggregated state once it develops. Importantly, the mechanisms that maintain the aggregated state are distinct from those that instigate the evolution of self-aggregation. These results and those of a companion study suggest that the temperature dependence of self-aggregation enters through the longwave feedback term.
by Allison A. Wing.
Ph. D.
Su, Hui. « A modeling study of self-aggregation and large-scale control of tropical deep convection / ». Thesis, Connect to this title online ; UW restricted, 1998. http://hdl.handle.net/1773/10018.
Texte intégralCoppin, David. « Agrégation de la convection dans un modèle de circulation générale : mécanismes physiques et rôle climatique ». Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066057/document.
Texte intégralThis thesis focuses on the study of convective aggregation in LMDZ5A general circulation model, used in Radiative-Convective Equilibrium (RCE) configuration. The instability of the RCE allows us to look at the mechanisms controlling the initiation of convective aggregation and its dependence on sea surface temperatures (SST). At low SSTs, a coupling between the large-scale circulation and the radiative effects of low clouds is needed to trigger self-aggregation. At high SSTs, the coupling between the large-scale circulation and the surface fluxes controls this initiation. When the atmosphere is coupled to a slab ocean mixed layer, SST gradients facilitate the initiation of convective aggregation. Except for the high-cloud radiative effects, triggering mechanisms are less crucial. Convection also becomes less dependent on the SST.The impact of convective aggregation on the climate sensitivity and surface temperature is also analyzed. Convective aggregation is found to increase the area of dry clear-sky zones. Thus, it tends to cool the system very efficiently. However, the negative feedback associated with an increase in aggregation is generally balanced by offsetting changes in SST gradients and low clouds that tend to increase the climate sensitivity. In contrast, at shorter timescales, the coupling between ocean and convective aggregation also controls the strength of convective aggregation and overturn its effect. Thus the impact of convective aggregation may not be as strong as what can be inferred from experiments with uniform SSTs.These results emphasize the importance of considering ocean-atmosphere coupling when studying the role of aggregation in climate
Coppin, David. « Agrégation de la convection dans un modèle de circulation générale : mécanismes physiques et rôle climatique ». Electronic Thesis or Diss., Paris 6, 2017. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2017PA066057.pdf.
Texte intégralThis thesis focuses on the study of convective aggregation in LMDZ5A general circulation model, used in Radiative-Convective Equilibrium (RCE) configuration. The instability of the RCE allows us to look at the mechanisms controlling the initiation of convective aggregation and its dependence on sea surface temperatures (SST). At low SSTs, a coupling between the large-scale circulation and the radiative effects of low clouds is needed to trigger self-aggregation. At high SSTs, the coupling between the large-scale circulation and the surface fluxes controls this initiation. When the atmosphere is coupled to a slab ocean mixed layer, SST gradients facilitate the initiation of convective aggregation. Except for the high-cloud radiative effects, triggering mechanisms are less crucial. Convection also becomes less dependent on the SST.The impact of convective aggregation on the climate sensitivity and surface temperature is also analyzed. Convective aggregation is found to increase the area of dry clear-sky zones. Thus, it tends to cool the system very efficiently. However, the negative feedback associated with an increase in aggregation is generally balanced by offsetting changes in SST gradients and low clouds that tend to increase the climate sensitivity. In contrast, at shorter timescales, the coupling between ocean and convective aggregation also controls the strength of convective aggregation and overturn its effect. Thus the impact of convective aggregation may not be as strong as what can be inferred from experiments with uniform SSTs.These results emphasize the importance of considering ocean-atmosphere coupling when studying the role of aggregation in climate
Wu, Wei-Lin, et 吳蔚琳. « The Characteristics of Convective Aggregation in Rotating Radiative-Convective Equilibrium Simulated by a Cloud-Resolving Model ». Thesis, 2017. http://ndltd.ncl.edu.tw/handle/ghfzzw.
Texte intégralChapitres de livres sur le sujet "Aggregation of convection"
Jensen, Mogens H. « Muitifractals in Convection and Aggregation ». Dans Random Fluctuations and Pattern Growth : Experiments and Models, 292–309. Dordrecht : Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2653-0_41.
Texte intégralSaito, Yukio, Makio Uwaha et Susumu Seki. « Dynamics and Structure of an Aggregation Growing from a Diffusion Field ». Dans Interactive Dynamics of Convection and Solidification, 27–29. Dordrecht : Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2809-4_5.
Texte intégralKhelifi, Sana, Namane Méchitoua, Frank Hülsemann et Frédéric Magoulès. « An Aggregation Based Algebraic Multigrid Method Applied to Convection-Diffusion Operators ». Dans Finite Volumes for Complex Applications VI Problems & ; Perspectives, 597–604. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20671-9_63.
Texte intégralXu, Liu-Jun, et Ji-Ping Huang. « Theory for Thermal Wave Nonreciprocity : Angular Momentum Bias ». Dans Transformation Thermotics and Extended Theories, 277–90. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5908-0_20.
Texte intégralYuan, Leqi, Kun Cheng, Haozhi Bian, Yaping Liao et Chenxi Jiang. « Numerical Simulation of Flow Boiling Heat Transfer in Helical Tubes Under Marine Conditions ». Dans Springer Proceedings in Physics, 1015–30. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_86.
Texte intégralHolloway, Christopher E., Allison A. Wing, Sandrine Bony, Caroline Muller, Hirohiko Masunaga, Tristan S. L’Ecuyer, David D. Turner et Paquita Zuidema. « Observing Convective Aggregation ». Dans Space Sciences Series of ISSI, 27–64. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-77273-8_2.
Texte intégralLeibovich, Sidney. « Spatial Aggregation Arising from Convective Processes ». Dans Lecture Notes in Biomathematics, 110–24. Berlin, Heidelberg : Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-50155-5_9.
Texte intégralWing, Allison A., Kerry Emanuel, Christopher E. Holloway et Caroline Muller. « Convective Self-Aggregation in Numerical Simulations : A Review ». Dans Space Sciences Series of ISSI, 1–25. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-77273-8_1.
Texte intégralSmith, Alan D. « B″ not D″ as the source of intraplate volcanism ». Dans In the Footsteps of Warren B. Hamilton : New Ideas in Earth Science. Geological Society of America, 2022. http://dx.doi.org/10.1130/2021.2553(29).
Texte intégralPérez-Ramirez, Yolanda, Anthony Graziani, Paul-Antoine Santoni, Virginie Tihay-Felicelli et William Mell. « Numerical characterization of structures heat exposure at WUI ». Dans Advances in Forest Fire Research 2022, 719–24. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_110.
Texte intégralActes de conférences sur le sujet "Aggregation of convection"
Mateen, Khalid, et Eric William Smith. « Asphaltene Deposition Simulator with Aggregation ». Dans Offshore Technology Conference. OTC, 2023. http://dx.doi.org/10.4043/32421-ms.
Texte intégralCarlton, Hayden, Preethi Korangath, Nageshwar Arepally, Anilchandra Attaluri et Robert Ivkov. « Monitoring Perfusion-Based Convection in Cancer Tumor Tissue Undergoing Nanoparticle Heating by Analyzing Temperature Responses to Transient Pulsed Heating ». Dans ASME 2023 Heat Transfer Summer Conference collocated with the ASME 2023 17th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/ht2023-105470.
Texte intégralFiechter, Jerome, et David N. Ku. « Numerical Study of Platelet Transport in Flowing Blood ». Dans ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0006.
Texte intégralKim, Kyung Chun, et Dong Kim. « Numerical Simulation on the Formation of a Toroidal Microvortex by the Optoelectrokinetic Effect ». Dans ASME 2014 12th International Conference on Nanochannels, Microchannels, and Minichannels collocated with the ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icnmm2014-21439.
Texte intégralZhang, Peng, Jawaad Sheriff, João S. Soares, Chao Gao, Seetha Pothapragada, Na Zhang, Yuefan Deng et Danny Bluestein. « Multiscale Modeling of Flow Induced Thrombogenicity Using Dissipative Particle Dynamics and Coarse Grained Molecular Dynamics ». Dans ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14187.
Texte intégralBluestein, Danny, João S. Soares, Peng Zhang, Chao Gao, Seetha Pothapragada, Na Zhang, Marvin J. Slepian et Yuefan Deng. « Multiscale Modeling of Flow Induced Thrombogenicity Using Dissipative Particle Dynamics and Molecular Dynamics ». Dans ASME 2013 2nd Global Congress on NanoEngineering for Medicine and Biology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/nemb2013-93094.
Texte intégralBluestein, Danny, João S. Soares, Peng Zhang, Chao Gao, Seetha Pothapragada, Na Zhang, Marvin J. Slepian et Yuefan Deng. « Multiscale Modeling of Flow Induced Thrombogenicity With Dissipative Particle Dynamics (DPD) and Molecular Dynamics (MD) ». Dans ASME 2013 Conference on Frontiers in Medical Devices : Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16176.
Texte intégralHan, Zenghu, et Bao Yang. « Natural Convective Heat Transfer of Water-in-FC72 Nanoemulsion Fluids ». Dans ASME 2008 First International Conference on Micro/Nanoscale Heat Transfer. ASMEDC, 2008. http://dx.doi.org/10.1115/mnht2008-52351.
Texte intégralSchinnerl, Mario, Wolfgang Beer et Reinhard Willinger. « Interpretation of Unexpected Aggregation of Condensate in Shrouded HP-Stages of an Industrial Steam Turbine ». Dans ASME Turbo Expo 2014 : Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-26083.
Texte intégralLiu, Wing Kam, et Ashfaq Adnan. « Multiscale Modeling and Simulation for Nanodiamond-Based Therapeutic Delivery ». Dans ASME 2010 First Global Congress on NanoEngineering for Medicine and Biology. ASMEDC, 2010. http://dx.doi.org/10.1115/nemb2010-13273.
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