Caron, J. M., & O'Brien, J. J. (1998). The Generation of Synthetic Sea Surface Temperature Data for the Equatorial Pacific Ocean. Mon. Wea. Rev., 126(11), 2809–2821.
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Carstens, J. (2019). Tropical Cyclogenesis from Self-aggregated Convection in Numerical Simulations of Rotating Radiative-convective Equilibrium. Florida State University - FCLA; ProQuest Dissertations & Theses Global.
Abstract: Organized convection is of critical importance in the tropical atmosphere. Recent advances in numerical modeling have revealed that moist convection can interact with its environment to transition from a quasi-random to organized state. This phenomenon, known as convective self-aggregation,is aided by feedbacks involving clouds, water vapor, and radiation that increase the spatial variance of column-integrated frozen moist static energy. Prior studies have shown self-aggregation to takeseveral different forms, including that of spontaneous tropical cyclogenesis in an environment of rotating radiative-convective equilibrium (RCE). This study expands upon previous work to address the processes leading to tropical cyclogenesis in this rotating RCE framework. More specifically,a three-dimensional, cloud-resolving numerical model is used to examine the self-aggregation of convection and potential cyclogenesis, and the background planetary vorticity is varied on an f-plane across simulations to represent a range of deep tropical and near-equatorial environments.Convection is initialized randomly in an otherwise homogeneous environment, with no background wind, precursor disturbance, or other synoptic-scale forcing.All simulations with planetary vorticity corresponding to latitudes from 10°to 20°generate intense tropical cyclones, with maximum wind speeds of 80 m s−1or above. Time to genesis varies widely, even within a five-member ensemble of 20°simulations, reflecting a potential degree of stochastic variability based in part on the initial random distribution of convection. Shared across this so-called “high-f” group is the emergence of a midlevel vortex in the days leading to genesis,which has dynamic and thermodynamic implications on its environment that facilitate the spinup of a low-level vortex. Tropical cyclogenesis is possible in this model even at values of Coriolis parameter as low as that representative of 1°. In these experiments, convection self-aggregates into a quasi-circular cluster, which then begins to rotate and gradually strengthen into a tropical storm, aided by near-surface inflow and shallow overturning radial circulations aloft within the aggregated cluster. Other experiments at these lower Coriolis parameters instead self-aggregate into an elongated band and fail to undergo cyclogenesis over the 100-day simulation. A large portion of this study is devoted to examining in greater detail the dynamic and thermodynamic evolution of cyclogenesis in these experiments and comparing the physical mechanisms to current theories.
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Chan, S. C., & Misra, V. (2011). Dynamic Downscaling of the North American Monsoon with the NCEP-Scripps Regional Spectral Model from the NCEP CFS Global Model. J. Climate, 24(3), 653–673.
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Chan, S. C., & Misra, V. (2010). A Diagnosis of the 1979-2005 Extreme Rainfall Events in the Southeastern United States with Isentropic Moisture Tracing. Mon. Wea. Rev., 138(4), 1172–1185.
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Chan, S. C., Misra, V., & Smith, H. (2011). A modeling study of the interaction between the Atlantic Warm Pool, the tropical Atlantic easterlies, and the Lesser Antilles: ATLANTIC WARM POOL, EASTERLIES, ISLANDS INTERACTIONS. J. Geophys. Res., 116(D21).
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Chassignet, E. P., & Marshall, D. P. (2008). Gulf Stream Separation in Numerical Ocean Models. In M. W. Hecht, & H. Hasumi (Eds.), Ocean Modeling in an Eddying Regime. Washington, DC: American Geophysical Union.
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Chassignet, E., Cenedese, E., & Verron, J. (2012). Buoyancy-Drivenn Flows. Cambridge University Press.
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Chassignet, E., Hurlburt, H., Metzger, E. J., Smedstad, O., Cummings, J., Halliwell, G., et al. (2009). US GODAE: Global Ocean Prediction with the HYbrid Coordinate Ocean Model (HYCOM). Oceanog., 22(2), 64–75.
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Chassignet, E. P. (2011). Isopycnic and Hybrid Ocean Modeling in the Context of GODAE. In A. Schiller, & G. B. Brassington (Eds.), Operational Oceanography in the 21st Century (pp. 263–293).
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Chassignet, E. P., Jones, J. W., Misra, V., & Obeysekera, J. (2017). Florida's Climate: Changes, Variations, & Impacts.
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