The increasing presence of "Latinos" in higher education presents a challenge to the academy, particularly in understanding their adjustment to the college environment (Umana-Taylor, Diversi & Fine, 2002). This study investigates how ethnically diverse "Latino\a" undergraduates construct and affirm ethnic identity. The findings suggest that a "Latino\a" pan-ethnicity is problematic because of the diversity of national origins, family histories, linguistic preferences, and cultural traditions that exists among the different nationalities that comprise this ethnic group. Unlike previous generations of immigrants, new diaspora "Latinos" seek integration into American society as bilinguals with linguistic command for both Spanish and English and resist abandonment of national identities and culture. These are suggestive of transnational identities that are multiple and adaptive to a variety of contexts and situations; rather than being fixed and constant. / Ph. D.

Numerical simulation is necessary to understand natural phenomena, make assessments and predictions in various research and engineering fields, develop new technologies, etc. New algorithms are needed to take advantage of the increasing computational resources and utilize the emerging hardware and software infrastructure with maximum efficiency. Adaptive numerical discretization methods can accommodate problems with various physical, scale, and dynamic features by adjusting the resolution, order, and the type of method used to solve them. In applications that simulate real systems, the numerical accuracy of the solution is typically just one of the challenges. Measurements can be included in the simulation to constrain the numerical solution through a process called data assimilation in order to anchor the simulation in reality. In this thesis we investigate adaptive discretization methods and data assimilation approaches for large-scale numerical simulations. We develop and investigate novel multirate and implicit-explicit methods that are appropriate for multiscale and multiphysics numerical discretizations. We construct and explore data assimilation approaches for, but not restricted to, atmospheric chemistry applications. A generic approach for describing the structure of the uncertainty in initial conditions that can be applied to the most popular data assimilation approaches is also presented. We show that adaptive numerical methods can effectively address the discretization of large-scale problems. Data assimilation complements the adaptive numerical methods by correcting the numerical solution with real measurements. Test problems and large-scale numerical experiments validate the theoretical findings. Synergistic approaches that use adaptive numerical methods within a data assimilation framework need to be investigated in the future. / Ph. D.

This study examines the term beur as well as the category it defines, both in terms of individuals who identify as beur, and the genre of literature that stems from the beur population in contemporary France. I begin by first suggesting that the notion of beur as a category and label serves as a third space in the binary of French culture and Maghrebi culture. This third space is necessary as the children of Maghrebi immigrants in France find themselves in between each culture and the sphere of influence that follows. The term is then problematized. The theme of binaries and the third spaces that emerge because of the problematic nature of the binaries is recurring throughout my study. I explore what these third spaces are by examining four contemporary French novels: Faïza Guène’s Kiffe kiffe demain and Un homme ça ne pleure pas, Ahmed Djouder’s Désintégration, and Brahim Metiba’s Ma mère et moi. The characters in each of these works struggle with their identity as they forge their own third spaces as solutions to various binaries that they discover they cannot fit into. In my study, I demonstrate this in three realms: integration and engaged citizenship; familial relationships, primarily parent-child relationships and the generational difference that further complicates pre-existing cultural difference; and gender roles. Each of the narratives and the main characters conveys the problematic nature of viewing French and Maghrebi culture in a binary. In my explication of the text, I argue that each narrative works towards the creation of a new third space in varying ways. / Master of Arts

The Cortlandt Complex in New York is a composite intrusion of six mafic plutons and contains pelitic xenoliths that experienced extensive interaction with Mg-rich basaltic melt. The complex is an excellent natural example of ultra-high temperature (UHT) metamorphic processes and country rock-magma interaction due to mappable units of hybrid igneous rocks and the presence of large, partially melted, politic "emery" xenoliths. Previous attempts to understand the formation of the UHT xenoliths in the Cortlandt have provided the petrologic foundation for more rigorous thermodynamic modeling to determine the petrogenesis of these materials and to ultimately contribute to the understanding of UHT metamorphism in the Earth's crust. This work focuses on the development of hybrid monzonorites and emery at Salt Hill, located in the southeasternmost edge of the Cortlandt Complex. First, a thermobarometric study focuses on the P-T conditions of the country rock into which the Complex intruded. Pelitic schists from contact aureoles around a nearby pluton chemically and chronologically related to the complex, record high-P (~ 0.9 GPa, ~ 32 km depth) crustal conditions during pluton emplacement. This is interpreted to reflect loading due to the emplacement of Taconic allochthons during the waning stages of regional metamorphism before emplacement of the plutons. The second study uses thermodynamic heating calculations of pelitic schist to determine the production of norite and emery. Modeling results produce (i) an initial melt that produces a monzonorite composition when mixed with a mafic melt, (ii) a high-T melt that is texturally and compositionally homologous with quartzofeldspathic veins retained in the emery, and (iii) a residual mineral assemblage that, when oxidized, closely resembles the emery assemblage. Finally, focus is given to understanding the relationship between norite and emery and reflection on the mineralogy and structure of the lower crust-mantle boundary. Density calculations of the emery estimate values comparable to mantle densities, implying that rare exposure of UHT assemblages may be due to the fact the material stays at lower crustal (upper mantle?) depths. Therefore, the less-rare norite and other hybrid igneous rock occurrences may be the traces of deep, unexposed, UHT metamorphic assemblages. / Ph. D.

This project evaluated the feasibility of salvaging zebra mussel-infested freshwater mussels from their native habitat by determining 1) how zebra mussel infestation affects unionid feeding and body condition, 2) how starvation in quarantine affects body condition of unionids, and 3) what feeding regime maintain unionid condition in quarantine. The effects of zebra mussel infestation on two mussel species were evaluated through glycogen analyses of mantle tissue and gut content analysis. Specimens of Amblema p. plicata (Say, 1817) and Quadrula p. pustulosa (I. Lea, 1831), collected from a heavily infested reach of the Ohio River in 1996, had significantly lower (p<0.05) glycogen levels than specimens collected from a low-infestation reach upstream. In 1996 and 1997, heavily infested Amblema p. plicata and Quadrula p. pustulosa had significantly less (p<0.01) organic matter and fewer algal cells in their guts than lightly infested specimens. In addition, gut contents of individual A. p. plicata contained significantly less (p<0.05) organic matter and fewer algal cells than the combined gut contents of all zebra mussels (18-33 mm in length) attached to their shells. Gut analyses also revealed significant diet overlap between native unionids and infesting zebra mussels. Thus, competitive interactions or interference by zebra mussels likely reduced unionid ingestion and consequently reduced glycogen stores. During quarantine, unionids salvaged from a lightly infested area and starved for 30 days had glycogen levels that declined dramatically. After 30 days without supplemental feeding, mean glycogen levels of A. p. plicata declined 85%, and mean glycogen levels of Q. p. pustulosa declined 70%. Thus, feeding of unionids is necessary to maintain their condition during lengthy quarantine. To determine the best feeding regime for unionids in quarantine, assimilation efficiencies and carbon budgets were established for the rainbow mussel, Villosa iris (Lea, 1829), using radio-labelled cultures of Neochloris oleoabundans (Chantanachat and Bold 1962) at three cell concentrations. Assimilation efficiencies for Villosa iris at 100,000cells/ml, 10,000 cells/ml, and 1,000 cells/ml were similar (45-56%); however, regardless of these similarities, assimilation efficiencies from this study indicate that Neochloris oleoabundans is readily assimilated (~50% AE) by Villosa iris . In addition, total assimilation was maximized at 100,000cells/ml, which indicates that Villosa iris has the greatest amount of energy available for growth, reproduction, and maintenance of condition in captivity at this cell concentration. During a second quarantine experiment, specimens were provided with 100,000cells/ml of N. oleoabundans twice per day. Initial mean glycogen levels for Amblema p. plicata (9.4 + 2.4 mg/g) and Quadrula p. pustulosa collected from ORM 175.5 in July 1997 were not significantly different (p>0.3) than the mean glycogen levels of A. p. plicata and Q. p. pustulosa collected from the same site in July 1996. Glycogen stores of unionids entering quarantine, therefore, were similar in both the starvation and controlled feeding experiments. After 7, 14, and 30 days of controlled feeding in quarantine, mean glycogen levels of A. p. plicata and Q. p. pustulosa did not change significantly (p>0.1). Thus, quarantine protocol for salvaged native mussels should include the feeding of algae to captive specimens to sustain glycogen levels prior to relocation. / Master of Science

Previous historical and cultural geographic studies of the cemetery suggest that gravemarkers are surrogates for ethnicity and cultural assimilation. While studies of this type among single ethnic groups are common, examination of the multiethnic cemetery has largely been ignored. This study focuses on the necrogeography (regional burial practices) of the Melungeons, an understudied and underrepresented minority group. Their diverse ancestry purportedly includes a mixture of European, Native American, and African heritage. They have settled primarily in the Central Appalachian region, and more specifically within Hancock County, Tennessee. Their traditional burial practices include the construction of a unique gravehouse. I conducted personal interviews with Melungeons, religious leaders, and cemetery workers to determine the social meanings attached to these unique gravemarkers. I inspected 116 cemeteries located within Hancock County. A Melungeon Burial Index (MBI) was calculated based on the number and type of gravemarkers in individual cemeteries. The MBI acts a cultural inventory to measure varying degrees of Melungeon burial assimilation. Next, I interpreted the spatial patterns of assimilation to describe qualities of material cultural diffusion in the area. My findings show that traditional gravehouses are gradually being abandoned by the residents and over 93% of cemeteries exhibit complete burial assimilation. This suggests that gravehouse construction, a material and cultural practice of a U.S. minority group, has ended. / Master of Science

In large-scale air quality simulations we are interested in the influence factors which cause changes of pollutants, and optimization methods which improve forecasts. The solutions to these problems can be achieved by incorporating adjoint models, which are efficient in computing the derivatives of a functional with respect to a large number of model parameters. In this research we employ first order adjoints in air quality simulations. Moreover, we explore theoretically the computation of second order adjoints for chemical transport models, and illustrate their feasibility in several aspects. We apply first order adjoints to sensitivity analysis and data assimilation. Through sensitivity analysis, we can discover the area that has the largest influence on changes of ozone concentrations at a receptor. For data assimilation with optimization methods which use first order adjoints, we assess their performance under different scenarios. The results indicate that the L-BFGS method is the most efficient. Compared with first order adjoints, second order adjoints have not been used to date in air quality simulation. To explore their utility, we show the construction of second order adjoints for chemical transport models and demonstrate several applications including sensitivity analysis, optimization, uncertainty quantification, and Hessian singular vectors. Since second order adjoints provide second order information in the form of Hessian-vector product instead of the entire Hessian matrix, it is possible to implement applications for large-scale models which require second order derivatives. Finally, we conclude that second order adjoints for chemical transport models are computationally feasible and effective. / Master of Science

There once was a dream that data-driven models would replace their theory-guided counterparts. We have awoken from this dream. We now know that data cannot replace theory. Data-driven models still have their advantages, mainly in computational efficiency but also providing us with some special sauce that is unreachable by our current theories. This dissertation aims to provide a way in which both the accuracy of theory-guided models, and the computational efficiency of data-driven models can be combined. This combination of theory-guided and data-driven allows us to combine ideas from a much broader set of disciplines, and can help pave the way for robust and fast methods. / Doctor of Philosophy / As an illustrative example take the problem of predicting the weather. Typically a supercomputer will run a model several times to generate predictions few days into the future. Sensors such as those on satellites will then pick up observations about a few points on the globe, that are not representative of the whole atmosphere. These observations are combined, ``assimilated'' with the computer model predictions to create a better representation of our current understanding of the state of the earth. This predict-assimilate cycle is repeated every day, and is called (sequential) data assimilation. The prediction step traditional was performed by a computer model that was based on rigorous mathematics. With the advent of big-data, many have wondered if models based purely on data would take over. This has not happened. This thesis is concerned with taking traditional mathematical models and running them alongside data-driven models in the prediction step, then building a theory in which both can be used in data assimilation at the same time in order to not have a drop in accuracy and have a decrease in computational cost.

The Community Multiscale Air Quality (CMAQ) system is the Environmental Protection Agency's main modeling tool for atmospheric pollution studies. CMAQ-ADJ, the adjoint model of CMAQ, offers new analysis capabilities such as receptor-oriented sensitivity analysis and chemical data assimilation. This thesis presents the construction, validation, and properties of new adjoint modules in CMAQ, and illustrates their use in sensitivity analyses and data assimilation experiments. The new module of discrete adjoint of advection is implemented with the aid of automatic differentiation tool (TAMC) and is fully validated by comparing the adjoint sensitivities with finite difference values. In addition, adjoint sensitivity with respect to boundary conditions and boundary condition scaling factors are developed and validated in CMAQ. To investigate numerically the impact of the continuous and discrete advection adjoints on data assimilation, various four dimensional variational (4D-Var) data assimilation experiments are carried out with the 1D advection PDE, and with CMAQ advection using synthetic and real observation data. The results show that optimization procedure gives better estimates of the reference initial condition and converges faster when using gradients computed by the continuous adjoint approach. This counter-intuitive result is explained using the nonlinearity properties of the piecewise parabolic method (the numerical discretization of advection in CMAQ). Data assimilation experiments are carried out using real observation data. The simulation domain encompasses Texas and the simulation period is August 30 to September 1, 2006. Data assimilation is used to improve both initial and boundary conditions. These experiments further validate the tools developed in this thesis. / Master of Science

L'albédo, fraction de rayonnement réfléchi dans le spectre solaire, est une variable clef du bilan énergétique des surfaces enneigées et englacées. Cette grandeur possède une forte variabilité spatio-temporelle ce qui fait de la télédétection un outil adapté pour son étude. L'albédo dépend à la fois des propriétés physiques du milieu considéré et des caractéristiques du rayonnement incident. Les différentes grandeurs liées à l'albédo sont fonction des domaines angulaires et spectraux des radiations considérées. Les mesures de répartition angulaire du rayonnement réfléchi par la neige ont montré que l'hypothèse lambertienne pouvait conduire à des erreurs non négligeables lors de la détermination de l'albédo par télédétection. La connaissance des caractéristiques de la répartition angulaire du rayonnement réfléchi par la neige permet de développer une nouvelle méthode de détermination de l'albédo en zones montagneuses. Cette méthode prend en compte les effets liés à la forte variabilité topographique des terrains de montagne, à l'anisotropie du rayonnement réfléchi par la neige et par la glace ainsi que les variations spectrales de l'albédo en fonction des propriétés physiques de la surface. Elle a été appliquée à deux types de données : des photographies terrestres visibles et proche infrarouges (résolution spatiale 10 m) et des images MODIS (résolution spatiale 250 m). L'incertitude sur la valeur de l'albédo ainsi déterminée est évaluée à ±10% grâce aux mesures de terrain effectuées sur le glacier de Saint Sorlin (massif des Grandes Rousses, France). L'étude des cartes d'albédo issues de dix années (2000-2009) d'images MODIS montre qu'il n'y a pas de décroissance marquée de la valeur de l'albédo en zone d'ablation au contraire de ce qui a été prouvé pour le glacier du Morteratsch (Suisse). De plus, il existe une corrélation très élevée entre la valeur minimale de la moyenne de l'albédo sur le glacier, i.e. l'albédo moyen du glacier le jour où la ligne de neige est proche de la ligne d'équilibre, et la valeur du bilan de masse annuel spécifique. L'assimilation des données d'albédo obtenues grâce aux images MODIS et aux photographies terrestres dans le modèle de neige CROCUS permet une bonne estimation du bilan de masse spatialisé du glacier de Saint Sorlin (rmse=0.5 m w.e. pour les cinq années hydrologiques étudiées). Les forçages météorologiques utilisés pour cette étude sont de moyenne échelle. L'analyse succincte de la contribution des différents flux atmosphériques au bilan d'énergie de surface montre qu'en zone d'ablation comme en zone d'accumulation, le bilan radiatif net courtes longueurs d'ondes constitue la source principale d'énergie et que la variabilité de ce flux explique la majeure partie de la variabilité journalière de la somme des flux atmosphériques. Appliquées à d'autres glaciers, ces méthodes permettraient de savoir si les conclusions établies pour notre seul glacier d'étude sont valables pour d'autres glaciers. Elles rendraient également possibles la reconstruction du bilan de masse spatialisé sur 10 ans d'autres glaciers et potentiellement une meilleure quantification des processus physiques mis en jeu dans le bilan de masse de ces glaciers tempérés / Albedo is defined as the ratio of reflected to incident radiation over the solar spectrum and is a key parameter in the surface energy balance of snow and ice. This parameter is highly variable both temporally and spatially; thus remote sensing is an ideally suited approach for the retrieval of albedo data.The albedo value depends on both physical properties of the target and the characteristics of the incident radiation. Furthermore, the physical parameters linked with the albedo concept vary in consideration with spectral and angular ranges. Measurements of bi-directional reflectance over natural snow have shown that the Lambertian hypothesis may lead to significant error when estimating albedo from remote sensing data.Detailed knowledge of the angular distribution of radiation reflected by snow allows for the development of a new method to retrieve albedo values for mountainous, snow/ice covered areas. This method takes into account multiple reflections on mountainous areas, anisotropy of radiation reflected by snow and ice, and albedo spectral variations with surface physical properties. The method is applied to visible and near-infrared terrestrial photographs (spatial resolution 10 m) and MODIS data (spatial resolution 250 m). The accuracy of the method is evaluated at ±10% on the retrieved albedo value using concurrent field measurements at theSaint Sorlin Glacier (Grandes Rousses, France) during the summers of 2008 and 2009. The method is used to retrieve albedo data for this glacier from 2000 to 2009. Results indicate that the albedo of the ablation area of the Saint Sorlin Glacier has not shown any decreasing trend over this decade, in opposition to results presented for the Morteratsch Glacier (Switzerland). In addition, the minimal value over the summer period of the whole glacier averaged albedo is highly correlated to the specific annual mass-balance.Albedo data from MODIS and terrestrial photographs are then assimilated into the snow model CROCUS. This assimilation allows for an estimation of the spatialized mass-balance of the Saint Sorlin Glacier over the five studied hydrological years. Root mean square error is evaluated to 0.5 m w.e. For this study, we have used mid-scale meteorological data from SAFRAN. A brief analysis of the contribution from the atmospheric fluxes to the surface energy balance shows that, for the time period considered in this study, the shortwave radiation budget is the main process determining the surface energy balance. Furthermore, variability in shortwave radiation budget explains the major part of the daily variability in surface energy balance.The methods developed in this work are readily applicable to other temperate glaciers. They allows spatialized mass-balance reconstruction on a decadal scale and lead to improved quantification of the physical processes controlling mass-balance in temperate glaciers