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Colorado State University
1.
Heine, Matthew Alan.
Constrained optimization model for partitioning students into cooperative learning groups, A.
Degree: MS(M.S.), Mathematics, 2016, Colorado State University
URL: http://hdl.handle.net/10217/173460 
► The problem of the constrained partitioning of a set using quantitative relationships amongst the elements is considered. An approach based on constrained integer programming is…
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▼ The problem of the constrained partitioning of a set using quantitative relationships amongst the elements is considered. An approach based on constrained integer programming is proposed that permits a group objective function to be optimized subject to group quality constraints. A motivation for this problem is the partitioning of students, e.g., in middle school, into groups that target educational objectives. The method is compared to another grouping algorithm in the literature on a data set collected in the Poudre School District.
Advisors/Committee Members: Kirby, Michael (advisor), Pinaud, Olivier (committee member), Henry, Kimberly (committee member).
Subjects/Keywords: integer programming; cooperative learning; partitioning
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APA (6th Edition):
Heine, M. A. (2016). Constrained optimization model for partitioning students into cooperative learning groups, A. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/173460
Chicago Manual of Style (16th Edition):
Heine, Matthew Alan. “Constrained optimization model for partitioning students into cooperative learning groups, A.” 2016. Masters Thesis, Colorado State University. Accessed April 23, 2021.
http://hdl.handle.net/10217/173460.
MLA Handbook (7th Edition):
Heine, Matthew Alan. “Constrained optimization model for partitioning students into cooperative learning groups, A.” 2016. Web. 23 Apr 2021.
Vancouver:
Heine MA. Constrained optimization model for partitioning students into cooperative learning groups, A. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Apr 23].
Available from: http://hdl.handle.net/10217/173460.
Council of Science Editors:
Heine MA. Constrained optimization model for partitioning students into cooperative learning groups, A. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173460
Colorado State University
2.
Xiong, Qian.
Methods for extremes of functional data.
Degree: PhD, Statistics, 2018, Colorado State University
URL: http://hdl.handle.net/10217/193167
► Motivated by the problem of extreme behavior of functional data, we develop statistical theory at the nexus of functional data analysis (FDA) and extreme value…
(more)
▼ Motivated by the problem of extreme behavior of functional data, we develop statistical theory at the nexus of functional data analysis (FDA) and extreme value theory (EVT). A fundamental technique of functional data analysis is to replace infinite dimensional curves with finite dimensional representations in terms of functional principal components (FPCs). The coefficients of these projections, called the scores, encode the shapes of the curves. Therefore, the study of the extreme behavior of functional time series can be transformed to the study on functional principal component scores. We first derive two tests of significance of the slope function using functional principal components and their empirical counterparts (EFPC's). Applied to tropical storm data, these tests show a significant trend in the annual pattern of upper wind speed levels of hurricanes. Then we establish sufficient conditions under which the asymptotic extreme behavior of the multivariate estimated scores is the same as that of the population scores. We clarify these issues, including the rate of convergence, for Gaussian functions and for more general functional time series whose projections are in the Gumbel domain of attraction. Finally, we derive the asymptotic distribution of the sample covariance operator and of the sample functional principal components for functions which are regularly varying and whose fourth moment does not exist. The new theory is applied to establish the consistency of the regression operator in a functional linear model, with such errors.
Advisors/Committee Members: Kokoszka, Piotr S. (advisor), Cooley, Daniel (committee member), Pinaud, Olivier (committee member), Wang, Haonan (committee member).
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APA (6th Edition):
Xiong, Q. (2018). Methods for extremes of functional data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193167
Chicago Manual of Style (16th Edition):
Xiong, Qian. “Methods for extremes of functional data.” 2018. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021.
http://hdl.handle.net/10217/193167.
MLA Handbook (7th Edition):
Xiong, Qian. “Methods for extremes of functional data.” 2018. Web. 23 Apr 2021.
Vancouver:
Xiong Q. Methods for extremes of functional data. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Apr 23].
Available from: http://hdl.handle.net/10217/193167.
Council of Science Editors:
Xiong Q. Methods for extremes of functional data. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/193167
Colorado State University
3.
Obeidat, Yusra Mahmoud.
Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors.
Degree: MS(M.S.), Electrical and Computer Engineering, 2014, Colorado State University
URL: http://hdl.handle.net/10217/88585
► Integrated optical biosensors have many advantages such as low-cost, portability and the ability to detect multiple analytes on a single waveguide. They can be used…
(more)
▼ Integrated optical biosensors have many advantages such as low-cost, portability and the ability to detect multiple analytes on a single waveguide. They can be used in many important applications including biosensing applications. Previous research work focused on the issues of design, modeling and measurement of the local evanescent array coupled (LEAC) biosensor. The sensors were made using conventional dielectrics such as SiO2 and SiNx. The large increase in the complexity of the integrated circuits has increased the need for developing low-k dielectrics as new materials to cope with the integration challenges and improve operating speed. Furthermore, optical interconnects are required to be used to replace electrical interconnects in ICs to meet future goals. This increases the need for simultaneous manufacturing of electronics and optics on the same chip using a CMOS process. The research conducted during my Master of Science studies has addressed two important goals. The first was to use models to calculate surface and volume scattering losses in optical waveguides, especially, ones with porous silica claddings. The second goal was to use the simulation results to demonstrate the possibility of using porous silica in designing optical waveguides and LEAC sensors. By applying these models to porous silica optical waveguides described in previous publications, the agreement between their experimental results and the models results have been proved. Thus, these models can be used in the future to calculate the scattering losses in optical waveguides including ones with porous silica cladding. The main methods that are used to prepare porous silica and the models that are used to determine the effective index of porous silica have been discussed. A Matlab modesolver was used to simulate porous silica waveguides. Predictions for sensor sensitivity and waveguide loss as a function of waveguide dimension have been made using modesolver simulation results. The results demonstrate the ability to use porous silica in LEAC sensors in the future.
Advisors/Committee Members: Lear, Kevin L. (advisor), Pasricha, Sudeep (committee member), Pinaud, Olivier (committee member).
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APA (6th Edition):
Obeidat, Y. M. (2014). Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/88585
Chicago Manual of Style (16th Edition):
Obeidat, Yusra Mahmoud. “Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors.” 2014. Masters Thesis, Colorado State University. Accessed April 23, 2021.
http://hdl.handle.net/10217/88585.
MLA Handbook (7th Edition):
Obeidat, Yusra Mahmoud. “Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors.” 2014. Web. 23 Apr 2021.
Vancouver:
Obeidat YM. Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors. [Internet] [Masters thesis]. Colorado State University; 2014. [cited 2021 Apr 23].
Available from: http://hdl.handle.net/10217/88585.
Council of Science Editors:
Obeidat YM. Modeling of optical waveguides with porous silica claddings and their use in LEAC sensors. [Masters Thesis]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/88585
Colorado State University
4.
Alsaker, Melody.
Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography.
Degree: PhD, Mathematics, 2016, Colorado State University
URL: http://hdl.handle.net/10217/173372
► We study the problem of reconstructing 2-D conductivities from boundary voltage and current density measurements, also known as the electrical impedance tomography (EIT) problem, using…
(more)
▼ We study the problem of reconstructing 2-D conductivities from boundary voltage and current density measurements, also known as the electrical impedance tomography (EIT) problem, using the D-bar inversion method, based on the 1996 global uniqueness proof by Adrian Nachman. We focus on the computational implementation and efficiency of the D-bar algorithm, its application to finite-precision practical data in human thoracic imaging, and the quality and spatial resolution of the resulting reconstructions. The main contributions of this work are (1) a parallelized computational implementation of the algorithm which has been shown to run in real-time, thus demonstrating the feasibility of the D-bar method for use in real-time bedside imaging, and (2) a modification of the algorithm to include \emph{a priori} data in the form of approximate organ boundaries and (optionally) conductivity estimates, which we show to be effective in improving spatial resolution in the resulting reconstructions. These computational advancements are tested using both numerically simulated data as well as experimental human and tank data collected using the ACE1 EIT machine at CSU. In this work, we provide details regarding the theoretical background and practical implementation for each advancement, we demonstrate the effectiveness of the algorithm modifications through multiple experiments, and we provide discussion and conclusions based on the results.
Advisors/Committee Members: Mueller, Jennifer L. (advisor), Cheney, Margaret (committee member), Notaros, Branislav (committee member), Pinaud, Olivier (committee member).
Subjects/Keywords: electrical impedance tomography; inverse problems; D-bar algorithm; medical imaging; inverse conductivity problem
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APA (6th Edition):
Alsaker, M. (2016). Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/173372
Chicago Manual of Style (16th Edition):
Alsaker, Melody. “Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography.” 2016. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021.
http://hdl.handle.net/10217/173372.
MLA Handbook (7th Edition):
Alsaker, Melody. “Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography.” 2016. Web. 23 Apr 2021.
Vancouver:
Alsaker M. Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2021 Apr 23].
Available from: http://hdl.handle.net/10217/173372.
Council of Science Editors:
Alsaker M. Computational advancements in the D-bar reconstruction method for 2-D electrical impedance tomography. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173372
Colorado State University
5.
Xu, Dongyang.
GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation.
Degree: PhD, Electrical and Computer Engineering, 2019, Colorado State University
URL: http://hdl.handle.net/10217/197453
► Strong equatorial ionospheric scintillation is characterized with simultaneous deep amplitude fading and fast phase fluctuations, which can severely degrade GNSS receiver performance and impact a…
(more)
▼ Strong equatorial ionospheric scintillation is characterized with simultaneous deep amplitude fading and fast phase fluctuations, which can severely degrade GNSS receiver performance and impact a variety of GNSS applications. This dissertation addresses the equatorial ionospheric scintillation effects on GNSS signals in three aspects: simulation, characterization, and estimation. The first part of the dissertation presents a physics-based, strong scintillation simulator that requires only two scintillation indicators as input parameters, with validation results using a large amount of real scintillation data. In order to improve the accuracy of carrier phase estimation, a semi-open loop algorithm is developed in the second part of the dissertation. The performance of this algorithm is evaluated using the developed simulator against two other
state-of-the-art algorithms and shows improved performance in terms of reduced cycle slip occurrences and estimation error. In the third part, the scintillation signal characterization is conducted using a large amount of real strong scintillation data from Ascension Island. Statistical summaries are obtained, including the temporal characteristics of and correlation between fast phase changes and deep fades and the statistical relationship between the data bit decoding error occurrences and the intensity of amplitude scintillation.
Advisors/Committee Members: Morton, Yu (advisor), Rino, Charles (committee member), van Graas, Frank (committee member), Pinaud, Olivier (committee member).
Subjects/Keywords: estimation; GPS signal simulation; atmospheric effects; ionospheric scintillation; GPS processing
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APA (6th Edition):
Xu, D. (2019). GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/197453
Chicago Manual of Style (16th Edition):
Xu, Dongyang. “GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation.” 2019. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021.
http://hdl.handle.net/10217/197453.
MLA Handbook (7th Edition):
Xu, Dongyang. “GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation.” 2019. Web. 23 Apr 2021.
Vancouver:
Xu D. GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Apr 23].
Available from: http://hdl.handle.net/10217/197453.
Council of Science Editors:
Xu D. GPS equatorial ionospheric scintillation signals simulation, characterization, and estimation. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197453
Colorado State University
6.
Wang, Jun.
Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation.
Degree: PhD, Electrical and Computer Engineering, 2018, Colorado State University
URL: http://hdl.handle.net/10217/191253
► Spaced-GNSS receiver measurements offer an inexpensive approach for remote-sensing the ionospheric irregularity drift velocity during ionospheric scintillations. Conventional approaches targeting equatorial amplitude scintillations are less…
(more)
▼ Spaced-GNSS receiver measurements offer an inexpensive approach for remote-sensing the ionospheric irregularity drift velocity during ionospheric scintillations. Conventional approaches targeting equatorial amplitude scintillations are less applicable in high latitude regions where phase scintillations are more prominent. This dissertation demonstrates spaced-receiver techniques that use multi-GNSS carrier phase measurements to estimate irregularity drift velocity and effective irregularity height at high latitudes during scintillations. A time-domain method and a time-frequency domain method are implemented to extract time lag information between receiver pairs when observing the same irregularity structure. Based on the front velocity model and the anisotropy model, a hybrid correlation model is developed to account for the topology of the irregularity. From the time lag information, the hybrid correlation model and known satellite-receiver geometry, the irregularity drift velocity can be obtained. In addition, an inversion technique for estimating the effective height of the irregularity is developed based on the anisotropy model. These techniques are applied to data collected by two GNSS receiver-arrays at Gakona and the Poker Flat Research Range in Alaska. The GNSS-estimated drift velocities at Poker Flat are in general agreement with measurements from the co-located incoherent scatter radar and the All-sky Imager. The effective height estimates also compared favorably against the incoherent scatter radar measurements.
Advisors/Committee Members: Morton, Y. Jade (advisor), Rino, Charles (committee member), Luo, J. Rockey (committee member), Pinaud, Olivier (committee member).
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APA ·
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APA (6th Edition):
Wang, J. (2018). Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/191253
Chicago Manual of Style (16th Edition):
Wang, Jun. “Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation.” 2018. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021.
http://hdl.handle.net/10217/191253.
MLA Handbook (7th Edition):
Wang, Jun. “Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation.” 2018. Web. 23 Apr 2021.
Vancouver:
Wang J. Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Apr 23].
Available from: http://hdl.handle.net/10217/191253.
Council of Science Editors:
Wang J. Spaced-GNSS receiver techniques for ionospheric irregularity drift velocity and height estimation based on high-latitude GNSS scintillation. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191253
7.
Dauphin, Stephen.
General model-based decomposition framework for polarimetric SAR images.
Degree: PhD, Mathematics, 2017, Colorado State University
URL: http://hdl.handle.net/10217/181382
► Polarimetric synthetic aperture radars emit a signal and measure the magnitude, phase, and polarization of the return. Polarimetric decompositions are used to extract physically meaningful…
(more)
▼ Polarimetric synthetic aperture radars emit a signal and measure the magnitude, phase, and polarization of the return. Polarimetric decompositions are used to extract physically meaningful attributes of the scatterers. Of these, model-based decompositions intend to model the measured data with canonical scatter-types. Many advances have been made to this field of model-based decomposition and this work is surveyed by the first portion of this dissertation. A general model-based decomposition framework (GMBDF) is established that can decompose polarimetric data with different scatter-types and evaluate how well those scatter-types model the data by comparing a residual term. The GMBDF solves for all the scatter-type parameters simultaneously that are within a given decomposition by minimizing the residual term. A decomposition with a lower residual term contains better scatter-type models for the given data. An example is worked through that compares two decompositions with different surface scatter-type models. As an application of the polarimetric decomposition analysis, a novel terrain classification algorithm of polSAR images is proposed. In the algorithm, the results of
state-of-the-art polarimetric decompositions are processed for an image. Pixels are then selected to represent different terrain classes. Distributions of the parameters of these selected pixels are determined for each class. Each pixel in the image is given a score according to how well its parameters fit the parameter distributions of each class. Based on this score, the pixel is either assigned to a predefined terrain class or labeled unclassified.
Advisors/Committee Members: Cheney, Margaret (advisor), Kirby, Michael (committee member), Pinaud, Olivier (committee member), Morton, Jade (committee member).
Subjects/Keywords: polarimetric SAR; model-based decomposition
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APA (6th Edition):
Dauphin, S. (2017). General model-based decomposition framework for polarimetric SAR images. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/181382
Chicago Manual of Style (16th Edition):
Dauphin, Stephen. “General model-based decomposition framework for polarimetric SAR images.” 2017. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021.
http://hdl.handle.net/10217/181382.
MLA Handbook (7th Edition):
Dauphin, Stephen. “General model-based decomposition framework for polarimetric SAR images.” 2017. Web. 23 Apr 2021.
Vancouver:
Dauphin S. General model-based decomposition framework for polarimetric SAR images. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2021 Apr 23].
Available from: http://hdl.handle.net/10217/181382.
Council of Science Editors:
Dauphin S. General model-based decomposition framework for polarimetric SAR images. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181382
8.
Capps, Michael.
Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning.
Degree: PhD, Mathematics, 2019, Colorado State University
URL: http://hdl.handle.net/10217/195358
► In this thesis we explore electrical impedance tomography (EIT) and new aspects of the solutions to the inverse conductivity problem. Specifically we will focus on…
(more)
▼ In this thesis we explore electrical impedance tomography (EIT) and new aspects of the solutions to the inverse conductivity problem. Specifically we will focus on new methods for obtaining additional information from direct reconstructions on 2D domains using the D-bar method based on work by Nachmann in 1996 and Mueller and Siltanen in 2000. We cover the history of EIT as well as performing a review of relevant literature. Original work presented covers (1) an application of signal separation of cardiac and ventilation signals to the recovery of pulmonary measures and detection of air trapping in children with cystic fibrosis, (2) recovery of the boundaries of internal structures in EIT data sets using optimization of a priori data in the D-bar method, (3) recovery of the boundaries of internal structures in EIT data sets using deep neural networks applied to the scattering transform in the D-bar method. Results using both numerically simulated data and data collected on a tank with simulated organs made of agar are presented.
Advisors/Committee Members: Mueller, Jennifer (advisor), Cheney, Margaret (committee member), Pinaud, Olivier (committee member), Bartels, Randy (committee member).
Subjects/Keywords: electrical impedance tomography; deep learning; inverse problems
…Mathematics at Colorado State University typically uses a bipolar current source to reduce the
cost…
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APA ·
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APA (6th Edition):
Capps, M. (2019). Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195358
Chicago Manual of Style (16th Edition):
Capps, Michael. “Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning.” 2019. Doctoral Dissertation, Colorado State University. Accessed April 23, 2021.
http://hdl.handle.net/10217/195358.
MLA Handbook (7th Edition):
Capps, Michael. “Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning.” 2019. Web. 23 Apr 2021.
Vancouver:
Capps M. Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Apr 23].
Available from: http://hdl.handle.net/10217/195358.
Council of Science Editors:
Capps M. Recovery of organ boundaries in electrical impedance tomography images using a priori data, optimization, and deep learning. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195358
9.
Davis, Luke L. B.
Connections between climate sensitivity and large-scale extratropical dynamics.
Degree: MS(M.S.), Atmospheric Science, 2019, Colorado State University
URL: http://hdl.handle.net/10217/195373
► The response of the extratropical storm tracks to anthropogenic forcing is one of the most important but poorly understood aspects of climate change. The direct,…
(more)
▼ The response of the extratropical storm tracks to anthropogenic forcing is one of the most important but poorly understood aspects of climate change. The direct, thermodynamic effects of climate change are relatively well understood, but their two-way interactions with large-scale extratropical dynamics are extremely difficult to predict. There is thus continued need for a robust understanding of how this coupling evolves in space and time. The dry dynamical core represents one of the simplest possible numerical models for studying the response of the extratropical storm tracks to climate change. In the model, the extratropical circulation is forced by relaxing to a radiative equilibrium profile using linear damping. The linear damping coefficient plays an essential role in governing the structure of the circulation. But despite decades of research with the dry dynamical core, the role of the damping coefficient in governing the circulation has received relatively little scrutiny. In this thesis, we systematically vary the damping rate and the equilibrium temperature field in a dry dynamical core in order to understand how the amplitude of the damping influences extratropical dynamics. Critically, we prove that the damping rate is a measure of the climate sensitivity of the dry atmosphere. The key finding is that the structure of the extratropical circulation is a function of the climate sensitivity. Larger damping timescales – which are equivalent to higher climate sensitivities – lead to a less dynamically active extratropical circulation, equatorward shifts in the jet, and a background
state that is almost neutral to baroclinic instability. They also lead to increases in the serial correlation and relative strength of the annular modes of climate variability. It is argued that the climate sensitivity of the dry atmosphere may be identifiable from its dynamical signatures, and that understanding the response of the circulation to climate change is critically dependent on understanding its climate sensitvity.
Advisors/Committee Members: Thompson, David W. J. (advisor), Birner, Thomas (advisor), Randall, David A. (committee member), Pinaud, Olivier (committee member).
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APA (6th Edition):
Davis, L. L. B. (2019). Connections between climate sensitivity and large-scale extratropical dynamics. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/195373
Chicago Manual of Style (16th Edition):
Davis, Luke L B. “Connections between climate sensitivity and large-scale extratropical dynamics.” 2019. Masters Thesis, Colorado State University. Accessed April 23, 2021.
http://hdl.handle.net/10217/195373.
MLA Handbook (7th Edition):
Davis, Luke L B. “Connections between climate sensitivity and large-scale extratropical dynamics.” 2019. Web. 23 Apr 2021.
Vancouver:
Davis LLB. Connections between climate sensitivity and large-scale extratropical dynamics. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2021 Apr 23].
Available from: http://hdl.handle.net/10217/195373.
Council of Science Editors:
Davis LLB. Connections between climate sensitivity and large-scale extratropical dynamics. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195373
. 
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