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Dissertations / Theses on the topic 'Calibration of climate model'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Raoult, Nina. "Calibration of plant functional type parameters using the adJULES system." Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/29837.

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Land-surface models (LSMs) are crucial components of the Earth system models (ESMs) that are used to make coupled climate-carbon cycle projections for the 21st century. The Joint UK Land Environment Simulator (JULES) is the land-surface model used in the climate and weather forecast models of the UK Met Office. JULES is also extensively used offline as a land-surface impacts tool, forced with climatologies into the future. In this study, JULES is automatically differentiated with respect to JULES parameters using commercial software from FastOpt, resulting in an analytical gradient, or adjoint

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2

Niraula, Rewati. "Understanding the Hydrological Response of Changed Environmental Boundary Conditions in Semi-Arid Regions: Role of Model Choice and Model Calibration." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/594961.

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Arid and semi-arid basins in the Western United States (US) have been significantly impacted by human alterations to the water cycle and are among the most susceptible to water stress from urbanization and climate change. The climate of the Western US is projected to change in response to rising greenhouse gas concentrations. Combined with land use/land cover (LULC) change, it can influence both surface and groundwater resources, both of which are a significant source of water in the US. Responding to this challenge requires an improved understanding of how we are vulnerable and the developmen

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3

Davies, Nicholas William. "The climate impacts of atmospheric aerosols using in-situ measurements, satellite retrievals and global climate model simulations." Thesis, University of Exeter, 2018. http://hdl.handle.net/10871/34544.

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Aerosols contribute the largest uncertainty to estimates of radiative forcing of the Earth’s atmosphere, which are thought to exert a net negative radiative forcing, offsetting a potentially significant but poorly constrained fraction of the positive radiative forcing associated with greenhouse gases. Aerosols perturb the Earth’s radiative balance directly by absorbing and scattering radiation and indirectly by acting as cloud condensation nuclei, altering cloud albedo and potentially cloud lifetime. One of the major factors governing the uncertainty in estimates of aerosol direct radiative fo

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4

Bensouda, Nabil. "Extending and formalizing the energy signature method for calibrating simulations and illustrating with application for three California climates." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1080.

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This thesis extends and formalizes the energy signature method developed by Wei et al. (1998) for the rapid calibration of cooling and heating energy consumption simulations for commercial buildings. This method is based on the use of "calibration signatures" which characterize the difference between measured and simulated performance. By creating a library of shapes for certain known errors, clues can be provided to the analyst to use in identifying what simulation input errors may be causing the discrepancies. These are referred to as "characteristic signatures". In this thesis, sets of ch

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5

Andersson, Sara. "Mapping Uncertainties – A case study on a hydraulic model of the river Voxnan." Thesis, KTH, Mark- och vattenteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173848.

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This master thesis gives an account for the numerous uncertainties that prevail one-dimensional hydraulic models and flood inundation maps, as well as suitable assessment methods for different types of uncertainties. A conducted uncertainty assessment on the river Voxnan in Sweden has been performed. The case study included the calibra-tion uncertainty in the spatially varying roughness coefficient and the boundary condi-tion uncertainty in the magnitude of a 100-year flood, in present and future climate conditions. By combining a scenario analysis, GLUE calibration method and Monte Carlo anal

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6

Liang, Dong Cowles Mary Kathryn. "Issues in Bayesian Gaussian Markov random field models with application to intersensor calibration." Iowa City : University of Iowa, 2009. http://ir.uiowa.edu/etd/400.

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7

Ben, Touhami Haythem. "Calibration Bayésienne d'un modèle d'étude d'écosystème prairial : outils et applications à l'échelle de l'Europe." Thesis, Clermont-Ferrand 2, 2014. http://www.theses.fr/2014CLF22444/document.

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Les prairies représentent 45% de la surface agricole en France et 40% en Europe, ce qui montre qu’il s’agit d’un secteur important particulièrement dans un contexte de changement climatique où les prairies contribuent d’un côté aux émissions de gaz à effet de serre et en sont impactées de l’autre côté. L’enjeu de cette thèse a été de contribuer à l’évaluation des incertitudes dans les sorties de modèles de simulation de prairies (et utilisés dans les études d’impact aux changements climatiques) dépendant du paramétrage du modèle. Nous avons fait appel aux méthodes de la statistique Bayésienne,

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8

Battisti, Rafael. "Calibration, uncertainties and use of soybean crop simulation models for evaluating strategies to mitigate the effects of climate change in Southern Brazil." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-03102016-162340/.

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The water deficit is a major factor responsible for the soybean yield gap in Southern Brazil and tends to increase under climate change. Crop models are a tool that differ on levels of complexity and performance and can be used to evaluate strategies to manage crops, according the climate conditions. Based on that, the aims of this study were: to assess five soybean crop models and their ensemble; to evaluate the sensitivity of these models to systematic changes in climate; to assess soybean adaptive traits to water deficit for current and future climate; and to evaluate how the crop managemen

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9

Dinh, Thi Lan Anh. "Crop yield simulation using statistical and machine learning models. From the monitoring to the seasonal and climate forecasting." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS425.

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La météo et le climat ont un impact important sur les rendements agricoles. De nombreuses études basées sur différentes approches ont été réalisées pour mesurer cet impact. Cette thèse se concentre sur les modèles statistiques pour mesurer la sensibilité des cultures aux conditions météorologiques sur la base des enregistrements historiques. Lors de l'utilisation d'un modèle statistique, une difficulté critique survient lorsque les données sont rares, ce qui est souvent le cas pour la modélisation des cultures. Il y a un risque élevé de sur-apprentissage si le modèle n'est pas développé avec c

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10

Martínez, Asensio Adrián. "Impact of large-scale atmospheric variability on sea level and wave climate." Doctoral thesis, Universitat de les Illes Balears, 2015. http://hdl.handle.net/10803/371456.

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This thesis aims at quantitatively characterizing the recent (last few decades) and future climate variability of marine climate in the Western Mediterranean Sea and the North Atlantic Ocean. Namely it focuses on sea level and wind-waves, as these are the variables with a larger potential impact on coastal ecosystems and infrastructures. We first use buoy and altimetry data to calibrate a 50-year wind-wave hindcast over the Western Mediterranean in order to obtain the best characterization of the wave climate over that region. The minimization of the differences with respect to observations th

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11

Huang, Jian. "Assessing predictive performance and transferability of species distribution models for freshwater fish in the United States." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/73477.

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Rigorous modeling of the spatial species distributions is critical in biogeography, conservation, resource management, and assessment of climate change. The goal of chapter 2 of this dissertation was to evaluate the potential of using historical samples to develop high-resolution species distribution models (SDMs) of stream fishes of the United States. I explored the spatial transferability and temporal transferability of stream–fish distribution models in chapter 3 and chapter 4 respectively. Chapter 2 showed that the discrimination power of SDMs for 76 non-game fish species depended on data

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12

Kalný, Richard. "Vliv změny klimatu na energetickou náročnost a vnitřní prostředí budov." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2020. http://www.nusl.cz/ntk/nusl-409868.

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This thesis examines the impacts of possible climate change on selected buildings. For simulations in program BSim the author uses climatic data of SRES scenarios, specifically models B1, A1B and A2. It also includes a research on global warming, design and optimization of the measurement and control system at the production hall and a part of the energy audit for the office building.

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13

Haussamer, Nicolai Haussamer. "Model Calibration with Machine Learning." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29451.

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This dissertation focuses on the application of neural networks to financial model calibration. It provides an introduction to the mathematics of basic neural networks and training algorithms. Two simplified experiments based on the Black-Scholes and constant elasticity of variance models are used to demonstrate the potential usefulness of neural networks in calibration. In addition, the main experiment features the calibration of the Heston model using model-generated data. In the experiment, we show that the calibrated model parameters reprice a set of options to a mean relative implied vola

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14

Coelho, Caio Augusto dos Santos. "Forecast calibration and combination : Bayesian assimilation of seasonal climate predictions." Thesis, University of Reading, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417353.

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15

Tachet, des combes Rémi. "Non-parametric model calibration in finance." Phd thesis, Ecole Centrale Paris, 2011. http://tel.archives-ouvertes.fr/tel-00658766.

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Consistently fitting vanilla option surfaces is an important issue when it comes to modelling in finance. In three different models: local and stochastic volatility, local correlation and hybrid local volatility with stochstic rates, this calibration boils down to the resolution of a nonlinear partial integro-differential equation. In a first part, we give existence results of solutions for the calibration equation. They are based upon fixed point methods in Hölder spaces and short-time a priori estimates. We then apply those existence results to the three models previously mentioned and give

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16

Rackauckas, Christopher V. "The Jormungand Climate Model." Oberlin College Honors Theses / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1368151558.

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17

Karim, Ali Abdul Jabbar, Johan Lessner, and Mehrdad Moridnejad. "Model calibration of a wooden building block." Thesis, Linnéuniversitetet, Institutionen för bygg- och energiteknik (BE), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-26271.

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Constructing multi floor buildings by light weight material have increased recently. There are many advantages of using light weight material, such as wood, for the environment. However, one of the deficiencies of lightweight material is the acoustic performance. Transmission of sound and vibration through floors in multi floor buildings in wood is a drawback to be considered. There are many studies that have addressed this issue. It is most common to make a finite element models well as experiments in laboratory. In these studies the material properties in the FE model are probably often adju

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18

Tsujimoto, Tsunehiro. "Calibration of the chaotic interest rate model." Thesis, University of St Andrews, 2010. http://hdl.handle.net/10023/2568.

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In this thesis we establish a relationship between the Potential Approach to interest rates and the Market Models. This relationship allows us to derive the dynamics of forward LIBOR rates and forward swap rates by modelling the state price density. It means that we are able to secure the arbitrage-free condition and positive interest rate feature when we model the volatility drifts of those dynamics. On the other hand, we develop the Potential Approach, particularly the Hughston-Rafailidis Chaotic Interest Rate Model. The early argument enables us to infer that the Chaos Models belong to the

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19

Fadikar, Arindam. "Stochastic Computer Model Calibration and Uncertainty Quantification." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/91985.

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This dissertation presents novel methodologies in the field of stochastic computer model calibration and uncertainty quantification. Simulation models are widely used in studying physical systems, which are often represented by a set of mathematical equations. Inference on true physical system (unobserved or partially observed) is drawn based on the observations from corresponding computer simulation model. These computer models are calibrated based on limited ground truth observations in order produce realistic predictions and associated uncertainties. Stochastic computer model differs from t

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Lage, Rodrigues Luis Ricardo. "Calibration and combination of seasonal climate predictions in tropical and extratropical regionals." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/395193.

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Current technology allows the proliferation of multiple forecast systems developed by different research institutions from all over the world. However, most decision makers need a reliable probabilistic prediction instead of a set of predictions to take an action given the probability of an event to occur. Several studies have shown that the merging of predictions derived from several forecast systems with equal weights yields on average better predictions than the best single forecast system. This approach has been referred to as the simple multimodel (SMM). Nevertheless, none of these studie

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21

Armani, Silvia. "High-enthalpy geothermal reservoir model calibration using PEST." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13293/.

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The main purpose of this thesis work is focused on the use of PEST (Parameter Estimation) to calibrate numerical models of High Enthalpy Geothermal Reservoirs (HEGR). PEST is a parameter estimation and analysis of the uncertainties of complex numerical models tool, that can be instructed to work with a standalone simulator. So, the T2Well-EWASG was used as coupled wellbore-reservoir simulator for multiphase-multicomponent HEGR. The idea of this thesis work is that the possibility to implement some automation degrees in the wellbore-reservoir model calibration task would improve substantially t

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22

Sjöholm, Daniel. "Calibration using a general homogeneous depth camera model." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204614.

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Being able to accurately measure distances in depth images is important for accurately reconstructing objects. But the measurement of depth is a noisy process and depth sensors could use additional correction even after factory calibration. We regard the pair of depth sensor and image sensor to be one single unit, returning complete 3D information. The 3D information is combined by relying on the more accurate image sensor for everything except the depth measurement. We present a new linear method of correcting depth distortion, using an empirical model based around the constraint of only modi

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23

Salinas, Daniel Villa. "Calibration of a mixing model for sublevel caving." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43804.

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Sublevel caving (SLC) is an underground mass mining method where the orebody is divided into a regular network of tunnels. The ore is extracted by level working downwards through the orebody. The caved waste from the overlying rock mass fills the void created by ore extraction generating a dynamic mixing situation between the broken ore and the waste (dilution) from upper levels. The dynamic process of mixing creates a significant challenge in the SLC project to estimate grades reliably. PCSLC is an application developed by Gemcom Software specifically designed for the mine planning of Sub Le

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Aurell, Alexander. "The SVI implied volatility model and its calibration." Thesis, KTH, Matematisk statistik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-150575.

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The SVI implied volatility model is a parametric model for stochastic implied volatility.The SVI is interesting because of the possibility to state explicit conditions on its parameters so that the model does not generate prices where static arbitrage opportunities can occur. Calibration of the SVI model to real market data requires non-linear optimization algorithms and can be quite time consuming. In recent years, methods to calibrate the SVI model that use its inherent structure to reduce the dimensions of the optimization problem have been invented in order to speed up the calibration. The

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PALMIERI, VIVIAN. "CALIBRATION OF QUAL2E MODEL FOR CORUMBATAÍ RIVER (SP)." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4408@1.

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A previsão dos efeitos poluidores sobre uma bacia hidrográfica é uma constante necessidade para os órgãos de gestão ambiental e para os tomadores de decisão neste âmbito. Dentro deste contexto, os modelos matemáticos que permitam prever danos ou melhorias na qualidade de água de bacias hidrográficas são importantes ferramentas para este fim. O Qual2E desponta como uma destas ferramentas, de acesso livre, aplicável à sistemas fluviais, unidimensionais, bem misturados e de fluxo constante. Este trabalho propõe uma aplicação do Qual2E para o rio Corumbataí, localizado no interior do Esta

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26

Mbongo, Nkounga Jeffrey Ted Johnattan. "Building Interest Rate Curves and SABR Model Calibration." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/96965.

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Thesis (MSc)--Stellenbosch University<br>ENGLISH ABSTRACT : In this thesis, we first review the traditional pre-credit crunch approach that considers a single curve to consistently price all instruments. We review the theoretical pricing framework and introduce pricing formulas for plain vanilla interest rate derivatives. We then review the curve construction methodologies (bootstrapping and global methods) to build an interest rate curve using the instruments described previously as inputs. Second, we extend this work in the modern post-credit framework. Third, we review the calibration

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Fonseca, Aaron James. "State-Space Randles Cell Model for Instrument Calibration." Thesis, North Dakota State University, 2020. https://hdl.handle.net/10365/31790.

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It is desirable to calibrate electrochemical impedance spectroscopy (EIS) instrumentation using a Randles circuit. This presents a challenge as realistic loads, simulated by this circuit, contain theoretical components (Warburg elements) that are difficult to model. This thesis proposes a state-space solution to this problem and explores the process of realizing a digital high-accuracy approximation of a Randles circuit for the purposes of verifying and calibrating EIS instrumentation. Using Valsa, Dvo{\v r}{\'a}k, and Friedl's network approximation of a Warburg element, a collection of state-

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Vaidyanathan, Sivaranjani. "Bayesian Models for Computer Model Calibration and Prediction." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1435527468.

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Ramalingam, Srikumar. "Generic imaging model : calibration and 3D reconstruction algorithms." Grenoble INPG, 2006. http://www.theses.fr/2006INPG0155.

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Des applications en vision artificielle exploitent des caméras très variées: fish-eye, systèmes catadioptriques et multi-caméras, etc. Ces caméras ont des caractéristiques intéressantes, dont surtout un champ de vue étendu. Le calibrage et la reconstruction 3D sont deux problèmes fondamentaux en vision artificielle. Les modèles et algorithmes pour ces problèmes sont habituellement de nature paramétrique, s'appliquent à un seul type de caméra et sont rarement capables de gérer des réseaux de caméras hétérogènes. Afin de résoudre ces problèmes, nous introduisons un modèle de formation d'image gé

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Li, Zongyan. "Model structure selection in powertrain calibration and control." Thesis, University of Liverpool, 2012. http://livrepository.liverpool.ac.uk/12013/.

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This thesis develops and investigates the application of novel identification and structure identification techniques for I.C. engine systems. The legislated demand for reduced vehicle fuel consumption and emissions indicates that improved model-based dynamical engine calibration and control methods are required in place of the existing static set-point based mapping methods currently used in industry. The choice of structure of any dynamical engine model has significant consequences for the accuracy and the calibration/optimization time of engine systems. This thesis primarily addresses the i

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Turley, Carole. "Calibration Procedure for a Microscopic Traffic Simulation Model." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1747.pdf.

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Riga, Candia. "The Libor Market Model: from theory to calibration." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amslaurea.unibo.it/2288/.

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This thesis is focused on the financial model for interest rates called the LIBOR Market Model. In the appendixes, we provide the necessary mathematical theory. In the inner chapters, firstly, we define the main interest rates and financial instruments concerning with the interest rate models, then, we set the LIBOR market model, demonstrate its existence, derive the dynamics of forward LIBOR rates and justify the pricing of caps according to the Black’s formula. Then, we also present the Swap Market Model, which models the forward swap rates instead of the LIBOR ones. Even this model is justi

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Pratap, Kadam Poonam. "Radiometric Calibration of a Hybrid RCWT Imaging Model." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/339045.

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The applications of low-light imaging are widespread in areas such as biomedical imaging, remote sensing, ratiometric imaging, lithography, etc. The goal of this work is to develop a radiometrically scaled hybrid RCWT calculator to count the photons detected for such applications. The rigorous computation of different imaging models are discussed. An approach to calibrate the radiometry of the hybrid RCWT model for partially coherent illumination is presented. The diffraction from the object is evaluated rigorously using the hybrid RCWT model. A test bench is set up to validate the radiometric

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Dawkins, Christina. "New directions in applied general equilibrium model calibration." Thesis, University of Warwick, 1999. http://wrap.warwick.ac.uk/110874/.

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This thesis develops extensions to current techniques in applied general equilibrium (AGE) model calibration that improve existing practice and expand the use of AGE modelling to economic history applications. Chapter I introduces the thesis. Chapter 2 summarizes the origin and practice of calibration in economics, focussing on its role in AGE modelling. Chapter 3 proposes two related sensitivity analysis procedures for AGE models: calibrated parameter sensitivity analysis (CPSA) and extended sensitivity analysis. Existing sensitivity techniques are incomplete because they only capture the rob

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DeChant, Caleb Matthew. "Hydrologic Data Assimilation: State Estimation and Model Calibration." PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/172.

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This thesis is a combination of two separate studies which examine hydrologic data assimilation techniques: 1) to determine the applicability of assimilation of remotely sensed data in operational models and 2) to compare the effectiveness of assimilation and other calibration techniques. The first study examines the ability of Data Assimilation of remotely sensed microwave radiance data to improve snow water equivalent prediction, and ultimately operational streamflow forecasts. Operational streamflow forecasts in the National Weather Service River Forecast Center are produced with a coupled

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Johnson, Nicolas R. "Building Energy Model Calibration for Retrofit Decision Making." PDXScholar, 2017. https://pdxscholar.library.pdx.edu/open_access_etds/3507.

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Accommodating the continued increase in energy demand in the face of global climate change has been a worldwide concern. With buildings in the US consuming nearly 40% of national energy, a concerted effort must be given to reduce building energy consumption. As new buildings continue to improve their efficiency through more restrictive energy codes, the other 76.9 billion square feet of current building stock falls further behind. The rate at which current buildings are being retrofit is not enough and better tools are needed to access the benefits of retrofits and the uncertainties associated

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LIU, LEI. "AN AUTOMATIC CALIBRATION STRATEGY FOR 3D FE BRIDGE MODELS." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1092674830.

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MacKay, Robert Malcolm. "The GCRC two-dimensional zonally averaged statistical dynamical climate model : development, model performance, and climate sensitivity /." Full text open access at:, 1994. http://content.ohsu.edu/u?/etd,199.

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Esposito, Delia. "Torque Model Calibration of a Motorcycle Internal Combustion Engine." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15964/.

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Optimizing the performance of internal combustion engines increases complexity of control strategies and makes the calibration process long and expensive. The first activity of this Thesis explains the possibility of reduce tests on the bench saving in terms of working hours and operating costs. In particular, through MATLAB codes, it’s shown how extrapolating data of spark advance min and extramin from the spark advance dynamic sweep. The tests are usually demanded by the ECU supplier, who is responsible for the final calibration, but the calibrator engineer still has the task of checking

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Yilmaz, Busra Zeynep. "Completion, Pricing And Calibration In A Levy Market Model." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612598/index.pdf.

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In this thesis, modelling with L&eacute<br>vy processes is considered in three parts. In the first part, the general geometric L&eacute<br>vy market model is examined in detail. As such markets are generally incomplete, it is shown that the market can be completed by enlarging with a series of new artificial assets called &ldquo<br>power-jump assets&rdquo<br>based on the power-jump processes of the underlying L&eacute<br>vy process. The second part of the thesis presents two different methods for pricing European options: the martingale pricing approach and the Fourier-based characteristic for

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Sandin, Mats, and Magnus Fransson. "Framework for Calibration of a Traffic State Space Model." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85342.

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To evaluate the traffic state over time and space, several models can be used. A typical model for estimating the state of the traffic for a stretch of road or a road network is the cell transmission model, which is a form of state space model. This kind of model typically needs to be calibrated since the different roads have different properties. This thesis will present a calibration framework for the velocity based cell transmission model, the CTM-v. The cell transmission model for velocity is a discrete time dynamical system that can model the evolution of the velocity field on highways. S

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Ndiritu, John G. "An improved genetic algorithm for rainfall-runoff model calibration /." Title page, contents and abstract only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phn337.pdf.

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Blazer, Derek Jason. "Systematic method for steady-state groundwater flow model calibration." Thesis, The University of Arizona, 1999. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_etd_hy0189_sip1_w.pdf&type=application/pdf.

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Seegmiller, Neal A. "Dynamic Model Formulation and Calibration for Wheeled Mobile Robots." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/460.

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Advances in hardware design have made wheeled mobile robots (WMRs) exceptionally mobile. To fully exploit this mobility, WMR planning, control, and estimation systems require motion models that are fast and accurate. Much of the published theory on WMR modeling is limited to 2D or kinematics, but 3D dynamic (or force-driven) models are required when traversing challenging terrain, executing aggressive maneuvers, and manipulating heavy payloads. This thesis advances the state of the art in both the formulation and calibration of WMR models We present novel WMR model formulations that are high-f

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Mao, Jiachen. "Automatic calibration of an urban microclimate model under uncertainty." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120873.

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Thesis: S.M. in Building Technology, Massachusetts Institute of Technology, Department of Architecture, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 79-86).<br>Simulation models play an important role in the design, analysis, and optimization of modern energy and environmental systems at building or urban scale. However, due to the extreme complexity of built environments and the s

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Sahni, Abhishek. "Energy –Efficient Solar Model Improvement Using Motor Calibration Preference." Master's thesis, Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-187146.

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The amount of force or power when applied can move one object from one position to another or the capacity of a system to do work is called energy. It exists in everybody whether they are human beings or animals or non-living things. There are many forms of energy such as: kinetic, potential, light, sound, gravitational, elastic, electromagnetic or nuclear. According to the law of conservation of energy, any form of energy can be converted into another form and the total energy will remain the same. Energy can be broadly classified into two main groups’ i.e. renewable and nonrenewable resource

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Chen, Yousheng. "Model calibration methods for mechanical systems with local nonlinearities." Doctoral thesis, Linnéuniversitetet, Institutionen för maskinteknik (MT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-57638.

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Most modern product development utilizes computational models. With increasing demands on reducing the product development lead-time, it becomes more important to improve the accuracy and efficiency of simulations. In addition, to improve product performance, a lot of products are designed to be lighter and more flexible, thus more prone to nonlinear behaviour. Linear finite element (FE) models, which still form the basis of numerical models used to represent mechanical structures, may not be able to predict structural behaviour with necessary accuracy when nonlinear effects are significant. N

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Au, Chi Kwong. "Instant calibration to the stochastic volatility LIBOR market model /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?MATH%202008%20AU.

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Ali, Rheeda. "Calibration of a personalised model of left atrial electrophysiology." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/48053.

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Patient-specific computer models of the human atria have the potential to aid clinical intervention in the treatment of cardiac arrhythmias if suitably validated. An anatomically accurate, patient-specific map of the electrical conductivity of the left atrial tissue is obtained using data from delayed-enhancement magnetic resonance imaging (MRI), and validated against clinical electroanatomic mapping measurements. The patient-specific intensity maps from two accepted image segmentation and registration techniques are evaluated and compared, and the approach is shown to be highly sensitive to t

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Kuenzi, Maribeth. "AN INTEGRATED MODEL OF WORK CLIMATE." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2530.

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Management scholars have become increasingly interested in the role of organizational context. As part of this trend, research on work climates has thrived. This contemporary climate research differs from traditional approaches by concentrating on facet-specific climate types like service or innovation, rather than general, global conceptualizations of climate. Consequently, the climate literature has become fragmented and disorderly. I seek to remedy this in my dissertation. Specifically, I propose and test an integrated model of work climate that examines both molar and facet-specific climat

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