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Relevant bibliographies by topics / Mesoscale convective cloud systems

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Academic literature on the topic 'Mesoscale convective cloud systems'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Mesoscale convective cloud systems"

1

Fritsch, J. Michael. "Modification of Mesoscale Convective Weather Systems." Meteorological Monographs 43 (December 1, 1986): 77–86. http://dx.doi.org/10.1175/0065-9401-21.43.77.

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Abstract Modification of mesoscale convective weather systems through ice-phase seeding is briefly reviewed. a simple mathematical framework for estimating the likely mesoscale response to convective cloud modification is presented, and previous mesoscale modification hypotheses are discussed in the context of this mathematical framework. Some basic differences between cloud-scale and mesoscale modification hypotheses are also discussed. Numerical model experiments to test the mesoscale sensitivity of convective weather systems are reviewed, and several focal points for identifying mesoscale modification potential are presented.

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Moncrieff, Mitchell W., and Changhai Liu. "Representing Convective Organization in Prediction Models by a Hybrid Strategy." Journal of the Atmospheric Sciences 63, no. 12 (December 2006): 3404–20. http://dx.doi.org/10.1175/jas3812.1.

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The mesoscale organization of precipitating convection is highly relevant to next-generation global numerical weather prediction models, which will have an intermediate horizontal resolution (grid spacing about 10 km). A primary issue is how to represent dynamical mechanisms that are conspicuously absent from contemporary convective parameterizations. A hybrid parameterization of mesoscale convection is developed, consisting of convective parameterization and explicit convectively driven circulations. This kind of problem is addressed for warm-season convection over the continental United States, although it is argued to have more general application. A hierarchical strategy is adopted: cloud-system-resolving model simulations represent the mesoscale dynamics of convective organization explicitly and intermediate resolution simulations involve the hybrid approach. Numerically simulated systems are physically interpreted by a mechanistic dynamical model of organized propagating convection. This model is a formal basis for approximating mesoscale convective organization (stratiform heating and mesoscale downdraft) by a first-baroclinic heating couplet. The hybrid strategy is implemented using a predictor–corrector strategy. Explicit dynamics is the predictor and the first-baroclinic heating couplet the corrector. The corrector strengthens the systematically weak mesoscale downdrafts that occur at intermediate resolution. When introduced to the Betts–Miller–Janjic convective parameterization, this new hybrid approach represents the propagation and dynamical structure of organized precipitating systems. Therefore, the predictor–corrector hybrid approach is an elementary practical framework for representing organized convection in models of intermediate resolution.

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Lane, Todd P., and Fuqing Zhang. "Coupling between Gravity Waves and Tropical Convection at Mesoscales." Journal of the Atmospheric Sciences 68, no. 11 (November 1, 2011): 2582–98. http://dx.doi.org/10.1175/2011jas3577.1.

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Abstract An idealized cloud-system-resolving model simulation is used to examine the coupling between a tropical cloud population and the mesoscale gravity waves that it generates. Spectral analyses of the cloud and gravity wave fields identify a clear signal of coupling between the clouds and a deep tropospheric gravity wave mode with a vertical wavelength that matches the depth of the convection, which is about two-thirds of the tropospheric depth. This vertical wavelength and the period of the waves, defined by a characteristic convective time scale, means that the horizontal wavelength is constrained through the dispersion relation. Indeed, the wave–convection coupling manifests at the appropriate wavelength, with the emergence of quasi-regular cloud-system spacing of order 100 km. It is shown that cloud systems at this spacing achieve a quasi-resonant state, at least for a few convective life cycles. Such regular spacing is a key component of cloud organization and is likely a contributor to the processes controlling the upscale growth of convective systems. Other gravity wave processes are also elucidated, including their apparent role in the maintenance of convective systems by providing a mechanism for renewed convective activity and system longevity.

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Grant, Leah D., Todd P. Lane, and Susan C. van den Heever. "The Role of Cold Pools in Tropical Oceanic Convective Systems." Journal of the Atmospheric Sciences 75, no. 8 (July 20, 2018): 2615–34. http://dx.doi.org/10.1175/jas-d-17-0352.1.

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Abstract The processes governing organized tropical convective systems are not completely understood despite their important influences on the tropical atmosphere and global circulation. In particular, cold pools are known to influence the structure and maintenance of midlatitude systems via Rotunno–Klemp–Weisman (RKW) theory, but cold pools may interact differently with tropical convection because of differences in cold pool strength and environmental shear. In this study, the role of cold pools in organized oceanic tropical convective systems is investigated, including their influence on system intensity, mesoscale structure, and propagation. To accomplish this goal, high-resolution idealized simulations are performed for two different systems that are embedded within a weakly sheared cloud population approaching radiative–convective equilibrium. The cold pools are altered by changing evaporation rates below cloud base in a series of sensitivity tests. The simulations demonstrate surprising findings: when cold pools are weakened, the convective systems become more intense. However, their propagation speeds and mesoscale structure are largely unaffected by the cold pool changes. Passive tracers introduced into the cold pools indicate that the convection intensifies when cold pools are weakened because cold pool air is entrained into updrafts, thereby reducing updraft intensity via the cold pools’ initial negative buoyancy. Gravity waves, rather than cold pools, appear to be the important modulators of system propagation and mesoscale structure. These results reconfirm that RKW theory does not fully explain the behavior of tropical oceanic convective systems, even those that otherwise appear consistent with RKW thinking.

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Wei, Junhong, and Fuqing Zhang. "Mesoscale Gravity Waves in Moist Baroclinic Jet–Front Systems." Journal of the Atmospheric Sciences 71, no. 3 (February 27, 2014): 929–52. http://dx.doi.org/10.1175/jas-d-13-0171.1.

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Abstract A series of cloud-permitting simulations with the Weather Research and Forecast model (WRF) are performed to study the characteristics and source mechanisms of mesoscale gravity waves in moist baroclinic jet–front systems with varying degrees of convective instability. These idealized experiments are initialized with the same baroclinic jet but with different initial moisture content, which produce different life cycles of moist baroclinic waves, to investigate the relative roles of moist processes and baroclinicity in the generation and propagation of mesoscale gravity waves. The dry experiment with no moisture or convection simulates gravity waves that are consistent with past modeling studies. An experiment with a small amount of moisture produces similar baroclinic life cycles to the dry experiment but with the introduction of weak convective instability. Subsequent initiation of convection, although weak, may considerably amplify the gravity waves that are propagating away from the upper-level jet exit region crossing the ridge to the jet entrance region. The weak convection also generates a new wave mode of shorter-scale wave packets that are believed to interact with, strengthen, and modify the dry gravity wave modes. Further increase of the moisture content (up to 5 times) leads to strong convective instability and vigorous moist convection. Besides a faster-growing moist baroclinic wave, the convectively generated gravity waves emerge much earlier, are more prevalent, and are larger in amplitude; they are fully coupled with, and hardly separable from, the dry gravity wave modes under the complex background moist baroclinic waves.

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Pope, Mick, Christian Jakob, and Michael J. Reeder. "Convective Systems of the North Australian Monsoon." Journal of Climate 21, no. 19 (October 1, 2008): 5091–112. http://dx.doi.org/10.1175/2008jcli2304.1.

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Abstract The climatology of convection over northern Australia and the surrounding oceans, based on six wet seasons (September–April), is derived from the Japanese Meteorological Agency Geostationary Meteorological Satellite-5 (GMS-5) IR1 channel for the years from 1995/96 to 2000/01. This is the first multiyear study of this kind. Clouds are identified at two cloud-top temperature thresholds: 235 and 208 K. The annual cycle of cloudiness over northern Australia shows an initial (October–November) buildup over the Darwin region before widespread cloudiness develops over the entire region during the monsoon months (December–February), followed by a northward contraction during March and April. Tracking mesoscale convective systems (MCSs) reveals that both the size of the cloud systems and their lifetimes follow power-law distributions. For short-lived MCSs (less than 12 h), the initial expansion of the cloudy area is related to the lifetime, with mergers important for long-lived MCSs (greater than 24 h). During periods of deep zonal flow, which coincide with the active phase of the monsoon, the number of convective elements in the Darwin region peaks in the early afternoon, which is characteristic of the diurnal cycle over land. In contrast, when the zonal flow is deep and easterly and the monsoon is in a break phase, the areal extent of the convective elements in the Darwin region is greatest in the late morning, which is more typical of maritime convection.

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Wapler, Kathrin, Todd P. Lane, Peter T. May, Christian Jakob, Michael J. Manton, and Steven T. Siems. "Cloud-System-Resolving Model Simulations of Tropical Cloud Systems Observed during the Tropical Warm Pool-International Cloud Experiment." Monthly Weather Review 138, no. 1 (January 1, 2010): 55–73. http://dx.doi.org/10.1175/2009mwr2993.1.

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Abstract Nested cloud-system-resolving model simulations of tropical convective clouds observed during the recent Tropical Warm Pool-International Cloud Experiment (TWP-ICE) are conducted using the Weather Research and Forecasting (WRF) model. The WRF model is configured with a highest-resolving domain that uses 1.3-km grid spacing and is centered over Darwin, Australia. The performance of the model in simulating two different convective regimes observed during TWP-ICE is considered. The first regime is characteristic of the active monsoon, which features widespread cloud cover that is similar to maritime convection. The second regime is a monsoon break, which contains intense localized systems that are representative of diurnally forced continental convection. Many aspects of the model performance are considered, including their sensitivity to physical parameterizations and initialization time, and the spatial statistics of rainfall accumulations and the rain-rate distribution. While the simulations highlight many challenges and difficulties in correctly modeling the convection in the two regimes, they show that provided the mesoscale environment is adequately reproduced by the model, the statistics of the simulated rainfall agrees reasonably well with the observations.

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Besson, L., and Y. Lemaître. "Mesoscale Convective Systems in Relation to African and Tropical Easterly Jets." Monthly Weather Review 142, no. 9 (September 2014): 3224–42. http://dx.doi.org/10.1175/mwr-d-13-00247.1.

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This paper documents the interaction processes between mesoscale convective systems (MCS), the tropical easterly jet (TEJ), and the African easterly jet (AEJ) over West Africa during the monsoon peak of 2006 observed during the African Monsoon Multidisciplinary Analyses (AMMA) project. The results highlight the importance of the cloud system localization relative to the jets in order to explain their duration and life cycle. A systematical study reveals that intense and long-lived MCSs correspond to a particular pattern where clouds associated with deep convection are located in entrance regions of TEJ and in exit regions of AEJ. A case study on a particularly well-documented convective event characterizes this link and infers the importance of jet streaks in promoting areas of divergence, favoring the persistence of MCSs.

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Mattos, Enrique V., and Luiz A. T. Machado. "Cloud-to-ground lightning and Mesoscale Convective Systems." Atmospheric Research 99, no. 3-4 (March 2011): 377–90. http://dx.doi.org/10.1016/j.atmosres.2010.11.007.

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Mathon, Vincent, and Henri Laurent. "Life cycle of Sahelian mesoscale convective cloud systems." Quarterly Journal of the Royal Meteorological Society 127, no. 572 (January 2001): 377–406. http://dx.doi.org/10.1002/qj.49712757208.

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Dissertations / Theses on the topic "Mesoscale convective cloud systems"

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Mechem, David B. "Organized layer overturning in mesoscale convective systems over the western Pacific warm pool /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/10059.

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White, Bethan Alice. "Modelling of elevated mesoscale convective systems." Thesis, University of Leeds, 2012. http://etheses.whiterose.ac.uk/3151/.

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Elevated convection occurs when convection originates from above the boundary layer. The interaction of an elevated storm with the stable layer beneath it often generates features such as waves and bores that maintain the convection. The Convective Storm Initiation Project (CSIP) took place in the UK in 2005. Only one case of elevated convection was observed during CSIP, in which several mesoscale convective systems (MCSs) formed. One MCS remained elevated and wave-lifted throughout the observation period. Another elevated MCS observed during IOP 3 was associated with Kelvin-Helmholtz billows. The billows and the elevated convection appeared to interact. The aim of this thesis is to use high-resolution numerical models to investigate the processes occurring in the elevated MCSs observed during CSIP. The thesis is presented in two parts. In the first part a simulation is performed using the Weather Research and Forecasting (WRF) model. The model reproduces the wave-lifted elevated convection in the early stages of the simulation but, unlike the observations, the simulated convection becomes surface-based and gravity current-lifted. The sensitivity of the simulated MCS to surface heat fluxes and diabatic cooling processes is explored. Surface heating and advection are shown to increase the buoyancy of the boundary layer air and enhance the transition to surface-based convection. Diabatic cooling processes are shown to maintain the simulated MCS in two ways: they strengthen the descent of the rear-inflow jet, generating a wave, and they also strengthen the undercurrent via cold outflow from the north of the storm. In the second part of this thesis the Met Office Large Eddy Model is used to investigate the interaction between Kelvin-Helmholtz billows and elevated convection. It is shown that there is a strong coupling between the updraughts and downdraughts in the billows and convective clouds.

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Coutris, Pierre. "Analyse des propriétés dimensionnelles et massiques des cristaux de glace pour l’étude des processus microphysiques dans les systèmes convectifs à méso-échelle." Thesis, Université Clermont Auvergne‎ (2017-2020), 2019. http://www.theses.fr/2019CLFAC007/document.

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L’étude des propriétés et processus microphysiques caractérisant la phase glace permet de mieux définir le rôle des nuages dans le cycle de l’eau et sur bilan radiatif de l’atmosphère. Les modèles atmosphériques et les codes d’inversion des données de télédétection utilisent des paramétrisations établies à partir de mesures in situ. Ces mesures servent également des besoins industriels en lien avec la problématique du givrage en aéronautique. L’étude présentée se base sur les données de deux campagnes aéroportées réalisées dans le cadre de la collaboration internationale HAIC-HIWC, ciblant les zones à fort contenu en glace que l’on peut observe rau sein des systèmes convectifs à méso-échelle (MCS) tropicaux. Sur la question des relations « masse-diamètre » (m - D) d’abord, une nouvelle approche est présentée. Basée sur la résolution d’un problème inverse, elle permet de restituer la masse des cristaux à partir de mesures colocalisées classiques en s’affranchissant de la traditionnelle hypothèse de loi puissance, et montre que cette dernière ne permet pas de représenter correctement les propriétés massiques de populations de cristaux hétérogènes (morphologie et tailles différentes) typiques des MCS. La variabilité horizontale des distributions de tailles permet d’étudier le vieillissement de l’enclume d’un point de vue microphysique et de souligner le rôle essentiel du processus d’agrégation dans l’élimination des petits cristaux apportés dans la haute troposphère par la convection profonde et dans la formation d’agrégats supra-millimétriques, précurseurs glacés des précipitations stratiformes. Les relations m - D restituées permettent d’identifier des régimes microphysiques distincts et ouvre la voie aux développement d’une paramétrisation de la masse volumique des hydrométéores en fonction de critères environnementaux
The detailed characterization of ice cloud microphysics is key to understand their role in theEarth’s hydrological cycle and radiation budget. The developement of atmospheric models and remote sensingalgorithms relies on parametrisations derived from in situ measurements. These measurements are also usedby the aviation industry to handle the problem of ice crystal icing. This PhD work presents an analysis of themass and size properties of ice crystals observed in high ice water content areas embedded in tropical mesoscaleconvective systems (MCS) during two airborne field campaigns of the HAIC-HIWC international project.A new approach is developped to derive mass-size relationships (m - D) from size distributions and icewater contents. The retrieval is formulated as an inverse problem which waives the power law constraint, aclassical assumption that proves to be an oversimplification when applied to heterogeneous populations of iceparticules typical of MCS anvils.The horizontal variability of size distributions and the aging of MCS anvils is described in terms of microphysicalprocesses. The importance of the aggregation growth process is emphasized as it efficiently removessmall ice particles brought into the upper troposphere by deep convection and significantly contributes to theformation of large agregates, precusor of the stratiform precipitations. The analysis of mass properties revealsthat distinctive microphysical regimes may be identified from the m-D relationship retrieved in various conditions.It paves the way toward a statistical model of the effective density of ice particles as a function of environmentalparameters

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Correia, James. "Observations and simulations of mesoscale convective systems." [Ames, Iowa : Iowa State University], 2007.

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Bister, Marja Helena. "Development of tropical cyclones from mesoscale convective systems." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/57851.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 1996.
Includes bibliographical references (p. 109-112).
by Marja Helena Bister.
Ph.D.

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Mapes, Brian. "The Australian monsoon and its mesoscale convective systems /." Thesis, Connect to this title online; UW restricted, 1992. http://hdl.handle.net/1773/10068.

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Finta, Christopher A. "Observations of mesoscale convective systems during tropical cyclone genesis." Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/8757.

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A better understanding of the role mesoscale convective systems (MCS) play in the formation stages of tropical cyclones will increase the ability to predict their occurrence and motion. This thesis employs high-resolution satellite imagery to observe the interaction between MCSs and their environment. Specifically, thirteen cases of tropical disturbances that eventually developed into tropical cyclones are analyzed to determine the role of MCSs in increasing the system organization. Following two conceptual models developed during the Tropical Cyclone Motion (TCM-93) mini-field experiment, each tropical cyclone is classified according to the relative importance of MCS activity to its development. Both conceptual models are verified through analysis and a third model is created to account for tropical cyclone developments that share features of the previous two models. An alternate approach is proposed for determining tropical system organization using only visible and infrared satellite imagery

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Gray, M. E. B. "Geostrophic adjustment following deep convection." Thesis, University of Reading, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318585.

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Hoffmann, Alex. "Simulating organization of convective cloud fields and interactions with the surface." Thesis, University of Cambridge, 2013. https://www.repository.cam.ac.uk/handle/1810/245211.

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The mesoscale organization and structure of convective clouds is thought to be rooted in the thermodynamic properties of the atmosphere and in the turbulent to mesoscale dynamics of the flow. Such structure may contribute to the transition between shallow and deep convection. The thermodynamic state of the boundary layer is forced by the amount of surface fluxes from below. Conversely, landscape patterns and land-cover heterogeneity may equally give rise to focused regions for deep convection triggering, in particular when patch sizes exceed 10 km. Since the convective boundary layer has a mediating function between the surface and deep storm clouds, the connection between surface and upper atmosphere is not straightforward. It is generally believed to involve local erosion of the capping inversion layer, the build-up of a moist energy supply, gradual humidification of the lower-free troposphere that reduces dry air entrainment into burgeoning deeper clouds, and thermal mesoscale circulations that can generate moisture convergence and locally forced ascent. To what extent microscale realistic surface heterogeneity and an interactive surface response matter to shallow and deep convection and its organization remains an open question. In this dissertation, we describe the coupling of a physiology-based vegetation model (HYBRID) and of a sea surface flux algorithm (COARE) to the cloud-resolving Active Tracer High-resolution Atmospheric Model (ATHAM). We investigate the full diurnal cycle of convection based on the example of the Hector storm over Tiwi Islands, notably the well-characterized event on 30th November 2005. The model performs well in terms of timing and cloud dynamics in comparison to a range of available observations. Also, ATHAM-HYBRID seems to do well in terms of flux partitioning. Whilst awaiting more thorough flux validation, we remain confident that the interactive surface response of both HYBRID and COARE is suited for the purpose of simulating convective-scale processes. We find the storm system evolution in 3D simulations to be robust with respect to differences in surface configuration and initialization. Within our 3D sensitivity runs, we could not identify a strong dependence on either realistic surface heterogeneity in the island landscape or on the interactive surface response. We conclude that in our case study at least, atmospheric (turbulent) dynamics likely dominate over surface heterogeneity effects, provided that the bulk magnitude of the surface energy fluxes, and their partitioning into sensible and latent heat (Bowen ratio), remain unaltered. This is consistent with 2D sensitivity studies, where we find model grid-spacing and momentum diffusion, governing the dynamics, to have an important influence on the overall evolution of deep convection. Fine grid-spacing is necessary, as the median width of updraught cores mostly does not exceed 1000 m. We associate this influence with the dry air entrainment rate in the wake of rising parcels, and with how resolution and diffusion act on coherent structures in the flow. In 2D sensitivity studies with differences in realistic heterogeneities of surface properties, we find little evidence for a clear deterministic influence of these properties on the transition between shallow and deep convection, in spite of largely different storm evolutions across the various runs. In these runs, we tentatively ascribe triggering to stochastic features in the flow, without discarding the relevance of convergence lines produced by mesoscale density currents, such as the sea breeze and cold pool storm outflows.

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Milot, David. "Microwave observations of mesoscale convective systems during tropical cyclone genesis in the Western North Pacific." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA344670.

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Thesis (M.S. in Meteorology and Physical Oceanography) Naval Postgraduate School, March 1998.
"March 1998." Thesis advisor(s): Russell L. Elsberry, Patrick A. Harr. Includes bibliographical references (p. 91-93). Also available online.

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Books on the topic "Mesoscale convective cloud systems"

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Augustine, John A. An automated method for the documentation of cloud-top characteristics of mesoscale convective systems. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1985.

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Finta, Christopher A. Observation of mesoscale convective systems during tropical cyclone genesis. Monterey, Calif: Naval Postgraduate School, 1997.

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Xie, Juying. Satellite-derived rainfall estimates and propagation characteristics associated with mesoscale convective systems (MCSs). Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1989.

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Weather Research Program (U.S.), ed. 1984 Airborne Investigations of Mesoscale Convective Systems (AIMCS): Operational summary and data inventory. Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1985.

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Xie, Juying. Satellite-derived rainfall estimates and propagation characteristics associated with mesoscale convective systems (MCSs). Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1989.

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Weather Research Program (U.S.), ed. 1984 Airborne Investigations of Mesoscale Convective Systems (AIMCS): Operational summary and data inventory. Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1985.

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Weather Research Program (U.S.), ed. 1984 Airborne Investigations of Mesoscale Convective Systems (AIMCS): Operational summary and data inventory. Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1985.

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H, Bryan George, Van den Heever, Susan C., and ScienceDirect (Online service), eds. Storm and cloud dynamics: The dynamics of clouds and precipitating mesoscale systems. 2nd ed. Burlington, MA: Academic Press, 2011.

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Milot, David. Microwave observations of mesoscale convective systems during tropical cyclone genesis in the Western North Pacific. Monterey, Calif: Naval Postgraduate School, 1998.

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McKinley, Eric J. An analysis of mesoscale convective systems observed during the 1992 tropical cyclone motion field experiment. Monterey, Calif: Naval Postgraduate School, 1992.

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Book chapters on the topic "Mesoscale convective cloud systems"

1

Bluestein, Howard B. "Mesoscale convective systems." In Severe Convective Storms and Tornadoes, 265–306. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-05381-8_5.

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Fritsch, J. M., and G. S. Forbes. "Mesoscale Convective Systems." In Severe Convective Storms, 323–57. Boston, MA: American Meteorological Society, 2001. http://dx.doi.org/10.1007/978-1-935704-06-5_9.

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Shou, Shaowen, Shenshen Li, Yixuan Shou, and Xiuping Yao. "Mesoscale Convective Systems." In An Introduction to Mesoscale Meteorology, 117–88. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8606-2_5.

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Fritsch, J. Michael. "Modification of Mesoscale Convective Weather Systems." In Precipitation Enhancement—A Scientific Challenge, 77–86. Boston, MA: American Meteorological Society, 1986. http://dx.doi.org/10.1007/978-1-935704-17-1_8.

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Krishnamurti, T. N., Lydia Stefanova, and Vasubandhu Misra. "Tropical Squall Lines and Mesoscale Convective Systems." In Springer Atmospheric Sciences, 399–413. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7409-8_19.

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Li, Xiaofan, and Shouting Gao. "Structures of Precipitation Systems II: Budget Analysis." In Cloud-Resolving Modeling of Convective Processes, 89–126. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26360-1_6.

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Li, Xiaofan, and Shouting Gao. "Structures of Precipitation Systems I: Cloud-Content Analysis." In Cloud-Resolving Modeling of Convective Processes, 69–88. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26360-1_5.

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Trier, Stanley B. "Modeling Studies of Turbulence Mechanisms Associated with Mesoscale Convective Systems." In Aviation Turbulence, 335–56. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23630-8_17.

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Kälicke, Elke, and Manfred Laube. "Transport of Trace Gas Species by Convective Cloud Systems." In Air Pollution Modeling and Its Application IX, 525–33. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3052-7_52.

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Das, Mohan K., Someshwar Das, and Mizanur Rahman. "Simulation of Mesoscale Convective Systems Associated with Squalls Using 3DVAR Data Assimilation over Bangladesh." In High-Impact Weather Events over the SAARC Region, 63–72. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10217-7_5.

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Conference papers on the topic "Mesoscale convective cloud systems"

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Wan, Fujing, Zhifeng Liu, and Huaji Pang. "Supercell Storm and Extreme Wind in a Linear Mesoscale Convective System." In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). IEEE, 2021. http://dx.doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00339.

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Silva Dias, M. A. F. "Mesoscale Convective Systems in Brazil." In 5th International Congress of the Brazilian Geophysical Society. European Association of Geoscientists & Engineers, 1997. http://dx.doi.org/10.3997/2214-4609-pdb.299.386.

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Onishi, R., H. Takagi, and K. Takahashi. "Turbulence Effects on Cloud Droplet Collisions in Mesoscale Convective Clouds." In Turbulence, Heat and Mass Transfer 5. Proceedings of the International Symposium on Turbulence, Heat and Mass Transfer. New York: Begellhouse, 2006. http://dx.doi.org/10.1615/ichmt.2006.turbulheatmasstransf.1540.

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Yuan, Yue, and Ping Wang. "Automatic Detection of Linear Mesoscale Convective Systems." In 2018 13th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2018. http://dx.doi.org/10.1109/wcica.2018.8630390.

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Patil, Vidya, SubrataKumar Das, and Anuradha Phadke. "METHODS FOR MESOSCALE CONVECTIVE SYSTEMS DETECTION AND TRACKING:A SURVEY." In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2019. http://dx.doi.org/10.1109/icccnt45670.2019.8944656.

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Scofield, Roderick A., Robert J. Kuligowski, and J. Clay Davenport. "The satellite-derived hydro-estimator and hydro-nowcaster for mesoscale convective systems and landfalling tropical systems." In Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, edited by W. Paul Menzel and Toshiki Iwasaki. SPIE, 2005. http://dx.doi.org/10.1117/12.577850.

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Müller, Jennifer, Jürgen Fischer, Anja Hünerbein, Hartwig Deneke, and Andreas Macke. "Using SEVIRI radiances to retrieve cloud optical properties of convective cloud systems." In RADIATION PROCESSES IN THE ATMOSPHERE AND OCEAN (IRS2012): Proceedings of the International Radiation Symposium (IRC/IAMAS). AIP, 2013. http://dx.doi.org/10.1063/1.4804808.

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Koshikova, Tatyana, Michael Kartavykh, Konstantin Pustovalov, Peter Nagorskiy, and Ilya Churilov. "Characteristics of thunderstorm centers during the development of mesoscale convective systems over the south of Western Siberia." In 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, edited by Oleg A. Romanovskii and Gennadii G. Matvienko. SPIE, 2021. http://dx.doi.org/10.1117/12.2603447.

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Guo, Zhongyang, Xiaoyan Dai, and Jianping Wu. "Mining the Features of Environmental Physical Field Influencing Trajectories of Mesoscale Convective Systems Based on Spatial Clustering Analysis." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.31.

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Dai, X., Z. Guo, and J. Xu. "A Study on the Trajectories of Mesoscale Convective Systems and Their Environmental Physical Field Values Using GMS Image." In 2006 IEEE International Symposium on Geoscience and Remote Sensing. IEEE, 2006. http://dx.doi.org/10.1109/igarss.2006.148.

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Reports on the topic "Mesoscale convective cloud systems"

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Kogan, Yefim L. Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada574139.

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Kogan, Yefim L. Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada597991.

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Cotton, W. R. Parameterization of convective clouds, mesoscale convective systems, and convective-generated cirrus. Office of Scientific and Technical Information (OSTI), March 1992. http://dx.doi.org/10.2172/5306965.

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Cotton, W. R. Parameterization of convective clouds mesoscale convective systems, and convective-generated cirrus. Final report, September 15, 1990--October 31, 1993. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10105428.

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Cotton, W. R. Parameterization of convective clouds, mesoscale convective systems, and convective-generated cirrus. Year 2 technical progress report, September 15, 1991--September 14, 1992. Office of Scientific and Technical Information (OSTI), March 1992. http://dx.doi.org/10.2172/10136639.

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Jiang, Jixi, Huiming Ye, and Meizhen Chen. Investigation of Mesoscale Convective Cloud Clusters in South China. Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada274303.

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van den Heever, Susan. Aerosol effects on the anvil characteristics, cold pool forcing and stratiform-convective precipitation partitioning and latent heating of mesoscale convective systems. Office of Scientific and Technical Information (OSTI), November 2018. http://dx.doi.org/10.2172/1482383.

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Cotton, W. R. Explicit simulation and parameterization of mesoscale convective systems. Final report, November 1, 1993--April 30, 1997. Office of Scientific and Technical Information (OSTI), August 1997. http://dx.doi.org/10.2172/524525.

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Del Genio, Anthony. Constraints on the Parameterization of Convective Cloud Systems from Analyses of ARM Observations and Models. Office of Scientific and Technical Information (OSTI), April 2020. http://dx.doi.org/10.2172/1616578.

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Xie, S., L. Leung, Z. Feng, W. Lin, C. Chen, J. Richter, and J. Fan. FY2020 Fourth Quarter Performance Metric: Evaluate Improvement in Simulations of Mesoscale Convective Systems from New Parameterization Developments in E3SM. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1661028.

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