Literatura académica sobre el tema "Aggregation of convection"
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Artículos de revistas sobre el tema "Aggregation of convection"
Shamekh, Sara, Caroline Muller, Jean-Philippe Duvel y Fabio D’Andrea. "How Do Ocean Warm Anomalies Favor the Aggregation of Deep Convective Clouds?" Journal of the Atmospheric Sciences 77, n.º 11 (1 de noviembre de 2020): 3733–45. http://dx.doi.org/10.1175/jas-d-18-0369.1.
Texto completoJung, Hyunju, Ann Kristin Naumann y Bjorn Stevens. "Convective self–aggregation in a mean flow". Atmospheric Chemistry and Physics 21, n.º 13 (8 de julio de 2021): 10337–45. http://dx.doi.org/10.5194/acp-21-10337-2021.
Texto completoBretherton, Christopher S., Peter N. Blossey y Marat Khairoutdinov. "An Energy-Balance Analysis of Deep Convective Self-Aggregation above Uniform SST". Journal of the Atmospheric Sciences 62, n.º 12 (1 de diciembre de 2005): 4273–92. http://dx.doi.org/10.1175/jas3614.1.
Texto completoSchulz, Hauke y Bjorn Stevens. "Observing the Tropical Atmosphere in Moisture Space". Journal of the Atmospheric Sciences 75, n.º 10 (octubre de 2018): 3313–30. http://dx.doi.org/10.1175/jas-d-17-0375.1.
Texto completoTobin, Isabelle, Sandrine Bony y Remy Roca. "Observational Evidence for Relationships between the Degree of Aggregation of Deep Convection, Water Vapor, Surface Fluxes, and Radiation". Journal of Climate 25, n.º 20 (4 de junio de 2012): 6885–904. http://dx.doi.org/10.1175/jcli-d-11-00258.1.
Texto completoWarren, P. B., R. C. Ball y A. Boelle. "Convection-Limited Aggregation". Europhysics Letters (EPL) 29, n.º 4 (1 de febrero de 1995): 339–44. http://dx.doi.org/10.1209/0295-5075/29/4/012.
Texto completoLi, Bo-Wei, Min-Cheng Zhong y Feng Ji. "Laser Induced Aggregation of Light Absorbing Particles by Marangoni Convection". Applied Sciences 10, n.º 21 (3 de noviembre de 2020): 7795. http://dx.doi.org/10.3390/app10217795.
Texto completoMuller, Caroline J. y Isaac M. Held. "Detailed Investigation of the Self-Aggregation of Convection in Cloud-Resolving Simulations". Journal of the Atmospheric Sciences 69, n.º 8 (1 de agosto de 2012): 2551–65. http://dx.doi.org/10.1175/jas-d-11-0257.1.
Texto completoWindmiller, Julia M. y George C. Craig. "Universality in the Spatial Evolution of Self-Aggregation of Tropical Convection". Journal of the Atmospheric Sciences 76, n.º 6 (1 de junio de 2019): 1677–96. http://dx.doi.org/10.1175/jas-d-18-0129.1.
Texto completoBoos, William R., Alexey Fedorov y Les Muir. "Convective Self-Aggregation and Tropical Cyclogenesis under the Hypohydrostatic Rescaling". Journal of the Atmospheric Sciences 73, n.º 2 (27 de enero de 2016): 525–44. http://dx.doi.org/10.1175/jas-d-15-0049.1.
Texto completoTesis sobre el tema "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.
Texto completoThis 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.
Texto completoThis 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.
Texto completoCoppin, 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.
Texto completoThis 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.
Texto completoThis 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 y 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.
Texto completoCapítulos de libros sobre el tema "Aggregation of convection"
Jensen, Mogens H. "Muitifractals in Convection and Aggregation". En 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.
Texto completoSaito, Yukio, Makio Uwaha y Susumu Seki. "Dynamics and Structure of an Aggregation Growing from a Diffusion Field". En Interactive Dynamics of Convection and Solidification, 27–29. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2809-4_5.
Texto completoKhelifi, Sana, Namane Méchitoua, Frank Hülsemann y Frédéric Magoulès. "An Aggregation Based Algebraic Multigrid Method Applied to Convection-Diffusion Operators". En 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.
Texto completoXu, Liu-Jun y Ji-Ping Huang. "Theory for Thermal Wave Nonreciprocity: Angular Momentum Bias". En Transformation Thermotics and Extended Theories, 277–90. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5908-0_20.
Texto completoYuan, Leqi, Kun Cheng, Haozhi Bian, Yaping Liao y Chenxi Jiang. "Numerical Simulation of Flow Boiling Heat Transfer in Helical Tubes Under Marine Conditions". En Springer Proceedings in Physics, 1015–30. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_86.
Texto completoHolloway, Christopher E., Allison A. Wing, Sandrine Bony, Caroline Muller, Hirohiko Masunaga, Tristan S. L’Ecuyer, David D. Turner y Paquita Zuidema. "Observing Convective Aggregation". En Space Sciences Series of ISSI, 27–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-77273-8_2.
Texto completoLeibovich, Sidney. "Spatial Aggregation Arising from Convective Processes". En Lecture Notes in Biomathematics, 110–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-50155-5_9.
Texto completoWing, Allison A., Kerry Emanuel, Christopher E. Holloway y Caroline Muller. "Convective Self-Aggregation in Numerical Simulations: A Review". En Space Sciences Series of ISSI, 1–25. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-77273-8_1.
Texto completoSmith, Alan D. "B″ not D″ as the source of intraplate volcanism". En 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).
Texto completoPérez-Ramirez, Yolanda, Anthony Graziani, Paul-Antoine Santoni, Virginie Tihay-Felicelli y William Mell. "Numerical characterization of structures heat exposure at WUI". En 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.
Texto completoActas de conferencias sobre el tema "Aggregation of convection"
Mateen, Khalid y Eric William Smith. "Asphaltene Deposition Simulator with Aggregation". En Offshore Technology Conference. OTC, 2023. http://dx.doi.org/10.4043/32421-ms.
Texto completoCarlton, Hayden, Preethi Korangath, Nageshwar Arepally, Anilchandra Attaluri y Robert Ivkov. "Monitoring Perfusion-Based Convection in Cancer Tumor Tissue Undergoing Nanoparticle Heating by Analyzing Temperature Responses to Transient Pulsed Heating". En 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.
Texto completoFiechter, Jerome y David N. Ku. "Numerical Study of Platelet Transport in Flowing Blood". En ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0006.
Texto completoKim, Kyung Chun y Dong Kim. "Numerical Simulation on the Formation of a Toroidal Microvortex by the Optoelectrokinetic Effect". En 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.
Texto completoZhang, Peng, Jawaad Sheriff, João S. Soares, Chao Gao, Seetha Pothapragada, Na Zhang, Yuefan Deng y Danny Bluestein. "Multiscale Modeling of Flow Induced Thrombogenicity Using Dissipative Particle Dynamics and Coarse Grained Molecular Dynamics". En ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14187.
Texto completoBluestein, Danny, João S. Soares, Peng Zhang, Chao Gao, Seetha Pothapragada, Na Zhang, Marvin J. Slepian y Yuefan Deng. "Multiscale Modeling of Flow Induced Thrombogenicity Using Dissipative Particle Dynamics and Molecular Dynamics". En 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.
Texto completoBluestein, Danny, João S. Soares, Peng Zhang, Chao Gao, Seetha Pothapragada, Na Zhang, Marvin J. Slepian y Yuefan Deng. "Multiscale Modeling of Flow Induced Thrombogenicity With Dissipative Particle Dynamics (DPD) and Molecular Dynamics (MD)". En 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.
Texto completoHan, Zenghu y Bao Yang. "Natural Convective Heat Transfer of Water-in-FC72 Nanoemulsion Fluids". En ASME 2008 First International Conference on Micro/Nanoscale Heat Transfer. ASMEDC, 2008. http://dx.doi.org/10.1115/mnht2008-52351.
Texto completoSchinnerl, Mario, Wolfgang Beer y Reinhard Willinger. "Interpretation of Unexpected Aggregation of Condensate in Shrouded HP-Stages of an Industrial Steam Turbine". En ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-26083.
Texto completoLiu, Wing Kam y Ashfaq Adnan. "Multiscale Modeling and Simulation for Nanodiamond-Based Therapeutic Delivery". En 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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