Relevant bibliographies by topics / Eastman Wind Ensemble

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Academic literature on the topic 'Eastman Wind Ensemble'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Eastman Wind Ensemble"

1

Beeks, Graydon, Frank J. Cipolla, and Donald Hunsberger. "The Wind Ensemble and Its Repertoire: Essays on the Fortieth Anniversary of the Eastman Wind Ensemble." Notes 53, no. 1 (September 1996): 84. http://dx.doi.org/10.2307/900313.

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2

Kreitner, Kenneth, Frank J. Cipolla, and Donald Hunsberger. "The Wind Ensemble and Its Repertoire: Essays on the Fortieth Anniversary of the Eastman Wind Ensemble." American Music 14, no. 2 (1996): 228. http://dx.doi.org/10.2307/3052358.

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3

Chamberlin, Reed. "Hi-Fi, Middle Brow? Frederick Fennell, Mercury Records, and the Eastman Wind Ensemble From 1952 to 1962." SAGE Open 10, no. 4 (October 2020): 215824402095492. http://dx.doi.org/10.1177/2158244020954926.

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Frederick Fennell, founder of the internationally acclaimed Eastman Wind Ensemble (EWE), is considered by many to be the catalyst for the modern wind-band movement, often credited with revolutionizing thought and practice within the discipline. While this perception remains valid, evidence suggests that Fennell was much less serious (or “high-brow”) than many believe. Derived from original research in the Fennell Archive at the Eastman School of Music, this article seeks to highlight tensions between Fennell’s desire to record serious wind-band music and the demands of Mercury Records (EWE record label, 1952–1964) to record populist repertoire. Fennell’s archival material suggests that his philosophy was directly influenced by Mercury’s bottom line with the objective of selling records to the masses. Surprisingly, this synthesized a dynamic approach to programming for Fennell and the EWE—one that remains a tradition to this day. The influence of recorded media’s populist objective fused an approach for Fennell that is much more “middle-brow” than many may have believed.
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4

Lin, Jonathan, Kerry Emanuel, and Jonathan L. Vigh. "Forecasts of Hurricanes Using Large-Ensemble Outputs." Weather and Forecasting 35, no. 5 (October 1, 2020): 1713–31. http://dx.doi.org/10.1175/waf-d-19-0255.1.

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AbstractThis paper describes the development of a model framework for Forecasts of Hurricanes Using Large-Ensemble Outputs (FHLO). FHLO quantifies the forecast uncertainty of a tropical cyclone (TC) by generating probabilistic forecasts of track, intensity, and wind speed that incorporate the state-dependent uncertainty in the large-scale field. The main goal is to provide useful probabilistic forecasts of wind at fixed points in space, but these require large ensembles [O(1000)] to flesh out the tails of the distributions. FHLO accomplishes this by using a computationally inexpensive framework, which consists of three components: 1) a track model that generates synthetic tracks from the TC tracks of an ensemble numerical weather prediction (NWP) model, 2) an intensity model that predicts the intensity along each synthetic track, and 3) a TC wind field model that estimates the time-varying two-dimensional surface wind field. The intensity and wind field of a TC evolve as though the TC were embedded in a time-evolving environmental field, which is derived from the forecast fields of ensemble NWP models. Each component of the framework is evaluated using 1000-member ensembles and four years (2015–18) of TC forecasts in the Atlantic and eastern Pacific basins. We show that the synthetic track algorithm generates tracks that are statistically similar to those of the underlying global ensemble models. We show that FHLO produces competitive intensity forecasts, especially when considering probabilistic verification statistics. We also demonstrate the reliability and accuracy of the probabilistic wind forecasts. Limitations of the model framework are also discussed.
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5

Sekiyama, Tsuyoshi Thomas, Mizuo Kajino, and Masaru Kunii. "Ensemble Dispersion Simulation of a Point-Source Radioactive Aerosol Using Perturbed Meteorological Fields over Eastern Japan." Atmosphere 12, no. 6 (May 22, 2021): 662. http://dx.doi.org/10.3390/atmos12060662.

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We conducted single-model initial-perturbed ensemble simulations to quantify uncertainty in aerosol dispersion modeling, focusing on a point-source radioactive aerosol emitted from the Fukushima Daiichi Nuclear Power Plant (FDNPP) in March 2011. The ensembles of the meteorological variables were prepared using a data assimilation system that consisted of a non-hydrostatic weather-forecast model with a 3-km horizontal resolution and a four-dimensional local ensemble transform Kalman filter (4D-LETKF) with 20 ensemble members. The emission of radioactive aerosol was not perturbed. The weather and aerosol simulations were validated with in-situ measurements at Hitachi and Tokai, respectively, approximately 100 km south of the FDNPP. The ensemble simulations provided probabilistic information and multiple case scenarios for the radioactive aerosol plumes. Some of the ensemble members successfully reproduced the arrival time and intensity of the radioactive aerosol plumes, even when the deterministic simulation failed to reproduce them. We found that a small ensemble spread of wind speed produced large uncertainties in aerosol concentrations.
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Parodi, Antonio, Martina Lagasio, Maurizio Maugeri, Barbara Turato, and William Gallus. "Observational and Modelling Study of a Major Downburst Event in Liguria: The 14 October 2016 Case." Atmosphere 10, no. 12 (December 6, 2019): 788. http://dx.doi.org/10.3390/atmos10120788.

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Downbursts are very disruptive weather events that can produce large amounts of damage. The most studied downbursts are those occurring in the United States and continental Europe, but they can happen globally. This work is an observational and modelling analysis of a major downburst event that occurred on 14 October 2016 over eastern Liguria (Italy). This downburst affected an area 30 km long and 10 km wide, producing observed wind gusts of 40 m/s with major impacts to railways, trees, and houses, with more than 2.5 million euros of damage. First, the general environment influencing this downburst is identified and analyzed, then the event is reproduced with a small multi-physics high-resolution ensemble using the Weather Research and Forecasting (WRF)–advanced research WRF (ARW) model, with 1 km horizontal grid spacing. The event was poorly predicted beforehand, and the difficulty in forecasting this event is confirmed by the fact that so few ensemble members suggested the occurrence of damaging winds over eastern Liguria. However, one of the eight members performed well and its output helped to reveal the primary mechanisms for the downburst, suggesting that high-resolution ensembles using mixed physics may be a useful tool for improving the prediction of similar extreme events in the Mediterranean region in the future.
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7

Clark, Adam J., William A. Gallus, Ming Xue, and Fanyou Kong. "Convection-Allowing and Convection-Parameterizing Ensemble Forecasts of a Mesoscale Convective Vortex and Associated Severe Weather Environment." Weather and Forecasting 25, no. 4 (August 1, 2010): 1052–81. http://dx.doi.org/10.1175/2010waf2222390.1.

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Abstract An analysis of a regional severe weather outbreak that was related to a mesoscale convective vortex (MCV) is performed. The MCV-spawning mesoscale convection system (MCS) formed in northwest Kansas along the southern periphery of a large cutoff 500-hPa low centered over western South Dakota. As the MCS propagated into eastern Kansas during the early morning of 1 June 2007, an MCV that became evident from multiple data sources [e.g., Weather Surveillance Radar-1988 Doppler (WSR-88D) network, visible satellite imagery, wind-profiler data, Rapid Update Cycle 1-hourly analyses] tracked through northwest Missouri and central Iowa and manifested itself as a well-defined midlevel short-wave trough. Downstream of the MCV in southeast Iowa and northwest Illinois, southwesterly 500-hPa winds increased to around 25 m s−1 over an area with southeasterly surface winds and 500–1500 J kg−1 of surface-based convective available potential energy (CAPE), creating a favorable environment for severe weather. In the favorable region, multiple tornadoes occurred, including one rated as a category 3 storm on the enhanced Fujita scale (EF3) that caused considerable damage. In the analysis, emphasis is placed on the role of the MCV in leading to a favorable environment for severe weather. In addition, convection-allowing forecasts of the MCV and associated environmental conditions from the 10-member Storm-Scale Ensemble Forecast (SSEF) system produced for the 2007 NOAA Hazardous Weather Testbed Spring Experiment are compared to those from a similarly configured, but coarser, 30-member convection-parameterizing ensemble. It was found that forecasts of the MCV track and associated environmental conditions (e.g., midlevel winds, low-level wind shear, and instability) were much better in the convection-allowing ensemble. Errors in the MCV track from convection-parameterizing members likely resulted from westward displacement errors in the incipient MCS. Furthermore, poor depiction of MCV structure and maintenance in convection-parameterizing members, which was diagnosed through a vorticity budget analysis, likely led to the relatively poor forecasts of the associated environmental conditions. The results appear to be very encouraging for convection-allowing ensembles, especially when environmental conditions lead to a high degree of predictability for MCSs, which appeared to be the case for this particular event.
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8

Misios, Stergios, Ioannis Logothetis, Mads F. Knudsen, Christoffer Karoff, Vassilis Amiridis, and Kleareti Tourpali. "Decline in Etesian winds after large volcanic eruptions in the last millennium." Weather and Climate Dynamics 3, no. 3 (July 29, 2022): 811–23. http://dx.doi.org/10.5194/wcd-3-811-2022.

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Abstract. The northerly Etesian winds are a stable summertime circulation system in the eastern Mediterranean, emerging from a steep pressure gradient between the central Europe and Balkans high-pressure and the Anatolian low-pressure systems. Etesian winds are influenced by the variability in the Indian summer monsoon (ISM), but their sensitivity to external forcing on interannual and longer timescales is not well understood. Here, for the first time, we investigate the sensitivity of Etesian winds to large volcanic eruptions in a set of model simulations over the last millennium and reanalysis of the 20th century. We provide model evidence for significant volcanic signatures, manifested as a robust reduction in the wind speed and the total number of days with Etesian winds in July and August. These are robust responses to all strong eruptions in the last millennium, and in the extreme case of Samalas, the ensemble-mean response suggests a post-eruption summer without Etesians. The significant decline in the number of days with Etesian winds is attributed to the weakening of the ISM in the post-eruption summers, which is associated with a reduced large-scale subsidence and weakened surface pressure gradients in the eastern Mediterranean. Our analysis identifies a stronger sensitivity of Etesian winds to the Northern Hemisphere volcanic forcing, particularly for volcanoes before the 20th century, while for the latest large eruption of Pinatubo modelled and observed responses are insignificant. These findings could improve seasonal predictions of the wind circulation in the eastern Mediterranean in the summers after large volcanic eruptions.
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9

Zhang, Fuqing, Meng Zhang, and Jonathan Poterjoy. "E3DVar: Coupling an Ensemble Kalman Filter with Three-Dimensional Variational Data Assimilation in a Limited-Area Weather Prediction Model and Comparison to E4DVar." Monthly Weather Review 141, no. 3 (March 1, 2013): 900–917. http://dx.doi.org/10.1175/mwr-d-12-00075.1.

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Abstract This study examines the performance of a hybrid ensemble-variational data assimilation system (E3DVar) that couples an ensemble Kalman filter (EnKF) with the three-dimensional variational data assimilation (3DVar) system for the Weather Research and Forecasting (WRF) Model. The performance of E3DVar and the component EnKF and 3DVar systems are compared over the eastern United States for June 2003. Conventional sounding and surface observations as well as data from wind profilers, aircraft and ships, and cloud-tracked winds from satellites, are assimilated every 6 h during the experiments, and forecasts are verified using standard sounding observations. Forecasts with 12- to 72-h lead times are found to have noticeably smaller root-mean-square errors when initialized with the E3DVar system, as opposed to the EnKF, especially for the 12-h wind and moisture fields. The E3DVar system demonstrates similar performance as an EnKF, while using less than half the number of ensemble members, and is less sensitive to the use of a multiphysics ensemble to account for model errors. The E3DVar system is also compared with a similar hybrid method that replaces the 3DVar component with the WRF four-dimensional variational data assimilation (4DVar) method (denoted E4DVar). The E4DVar method demonstrated considerable improvements over E3DVar for nearly all model levels and variables at the shorter forecast lead times (12–48 h), but the forecast accuracies of all three ensemble-based methods (EnKF, E3DVar, and E4DVar) converge to similar results at longer lead times (60–72 h). Nevertheless, all methods that used ensemble information produced considerably better forecasts than the two methods that relied solely on static background error covariance (i.e., 3DVar and 4DVar).
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10

Godinez, Humberto C., Jon M. Reisner, Alexandre O. Fierro, Stephen R. Guimond, and Jim Kao. "Determining Key Model Parameters of Rapidly Intensifying Hurricane Guillermo (1997) Using the Ensemble Kalman Filter." Journal of the Atmospheric Sciences 69, no. 11 (November 1, 2012): 3147–71. http://dx.doi.org/10.1175/jas-d-12-022.1.

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Abstract In this work the authors determine key model parameters for rapidly intensifying Hurricane Guillermo (1997) using the ensemble Kalman filter (EnKF). The approach is to utilize the EnKF as a tool only to estimate the parameter values of the model for a particular dataset. The assimilation is performed using dual-Doppler radar observations obtained during the period of rapid intensification of Hurricane Guillermo. A unique aspect of Guillermo was that during the period of radar observations strong convective bursts, attributable to wind shear, formed primarily within the eastern semicircle of the eyewall. To reproduce this observed structure within a hurricane model, background wind shear of some magnitude must be specified and turbulence and surface parameters appropriately specified so that the impact of the shear on the simulated hurricane vortex can be realized. To identify the complex nonlinear interactions induced by changes in these parameters, an ensemble of model simulations have been conducted in which individual members were formulated by sampling the parameters within a certain range via a Latin hypercube approach. The ensemble and the data, derived latent heat and horizontal winds from the dual-Doppler radar observations, are utilized in the EnKF to obtain varying estimates of the model parameters. The parameters are estimated at each time instance, and a final parameter value is obtained by computing the average over time. Individual simulations were conducted using the estimates, with the simulation using latent heat parameter estimates producing the lowest overall model forecast error.
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Dissertations / Theses on the topic "Eastman Wind Ensemble"

1

Caines, Jacob E. "Frederick Fennell and the Eastman Wind Ensemble: The Transformation of American Wind Music through Instrumentation and Repertoire." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23482.

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The Eastman Wind Ensemble is known as the pioneer ensemble of modern wind music in North America and abroad. Its founder and conductor, Frederick Fennell, was instrumental in facilitating the creation and performance of a large number of new works written for the specific instrumentation of the wind ensemble. Created in 1952, the EWE developed a new one-to-a-part instrumentation that could be varied based on the wishes of the composer. This change in instrumentation allowed for many more compositional choices when composing. The instrumentation was a dramatic shift from the densely populated ensembles that were standard in North America by 1952. The information on the EWE and Fennell is available at the Eastman School of Music’s Ruth Watanabe Archive. By comparing the repertory and instrumentation of the Eastman ensembles with other contemporary ensembles, Fennell’s revolutionary ideas are shown to be unique in the wind music community.
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2

Anders, Ivonne [Verfasser], and Hans Von [Akademischer Betreuer] Storch. "Regional climate modelling : the Eastern European ”summer drying” problem and the representation of coastal surface wind speed in a multi model ensemble / Ivonne Anders. Betreuer: Hans von Storch." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2016. http://d-nb.info/1081768142/34.

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Anders, Ivonne Verfasser], and Hans von [Akademischer Betreuer] [Storch. "Regional climate modelling : the Eastern European ”summer drying” problem and the representation of coastal surface wind speed in a multi model ensemble / Ivonne Anders. Betreuer: Hans von Storch." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2016. http://nbn-resolving.de/urn:nbn:de:gbv:18-77016.

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Books on the topic "Eastman Wind Ensemble"

1

Frank, Cipolla, Hunsberger Donald, and Eastman Wind Ensemble, eds. The wind ensemble and its repertoire: Essays on the fortieth anniversary of the Eastman Wind Ensemble. Rochester, N.Y: University of Rochester Press, 1994.

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2

Rickson, Roger E. Ffortissimo: A bio-discography of Frederick Fennell : the first forty years, 1953 to 1993. Cleveland, Ohio: Ludwig Music Pub. Co., 1993.

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3

Fennell, Frederick. The wind ensemble. Arkadelphia, Ark. : Delta Publications, 1988.

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4

Cipolla, Frank, and Donald Hunsberger. Wind Ensemble and Its Repertoire: Essays on the Fortieth Anniversary of the Eastman Wind Ensemble. University of Rochester Press, 1997.

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(Editor), Frank Cipolla, Eastman Wind Ensemble (Corporate Author), and Donald Hunsberger (Editor), eds. The Wind Ensemble and Its Repertoire: Essays on the Fortieth Anniversary of the Eastman Wind Ensemble. University of Rochester Press, 1994.

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6

J, Cipolla Frank, and Hunsberger Donald, eds. The wind ensemble and its repertoire: Essays on the fortieth anniversary of the Eastman Wind Ensemble. University of Rochester Press, 1994.

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7

Cipolla, Frank. The Wind Ensemble and Its Repertoire: Essays on the Fortieth Anniversary of the Eastman Wind Ensemble (Donald Hunsberger Wind Library). Alfred Publishing Company, 1997.

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Fiala, Michele L., and Martin Schuring. Great Oboists on Music and Musicianship. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190915094.001.0001.

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This volume contains interviews with twenty-six of the most prominent oboists from around the world. The chapters are in prose format and highlight different aspects of each musician’s career, focusing on musicianship and pedagogy in ways that are applicable to all musicians. The interviews contain topics such as creating musical interpretations and shaping phrases, the relationship of vocal to instrumental music, taking orchestral auditions, and being a good ensemble player/colleague. The subjects describe their pedagogy and their thoughts on breathing and support on wind instruments, developing finger technique, and creating a useful warm-up routine. The oboists discuss their ideals in reed making, articulation, and vibrato. They also share stories from their lives and careers. The oboists and English hornists profiled from North America are Pedro Diaz, Elaine Douvas, and Nathan Hughes (Metropolitan Opera Orchestra); John Ferrillo (Boston Symphony Orchestra); Carolyn Hove (Los Angeles Philharmonic); Richard Killmer (Eastman School); Nancy Ambrose King (University of Michigan); Frank Rosenwein and Robert Walters (Cleveland Orchestra); Humbert Lucarelli (soloist); Grover Schiltz (formerly Chicago Symphony); Eugene Izotov (San Francisco Symphony, originally from Russia); Allan Vogel (Los Angeles Chamber Orchestra retired); David Weiss (formerly Los Angeles Philharmonic); Randall Wolfgang (New York City Ballet and formerly Orpheus Chamber Orchestra); Alex Klein (Brazil, formerly Chicago Symphony and currently Calgary, Canada); and Sarah Jeffrey, Toronto Symphony Orchestra. The performers based in Europe are Neil Black, Nicholas Daniel, and Gordon Hunt (England); Maurice Bourgue and David Walter (France); Thomas Indermühle (Switzerland); László Hadady (Hungary and France); and Omar Zoboli (Italy). From Australia is Diana Doherty of the Sydney Symphony Orchestra.
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