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Dissertations / Theses on the topic 'Multi-Model ensembles'

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1

Sessford, Patrick Denis. "Quantifying sources of variation in multi-model ensembles : a process-based approach." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/18121.

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The representation of physical processes by a climate model depends on its structure, numerical schemes, physical parameterizations and resolution, with initial conditions and future emission scenarios further affecting the output. The extent to which climate models agree is therefore of great interest, often with greater confidence in robust results across models. This has led to climate model output being analysed as ensembles rather than in isolation, and quantifying the sources of variation across these ensembles is the aim of many recent studies. Statistical attempts to do this include th
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2

Sansom, Philip George. "Statistical methods for quantifying uncertainty in climate projections from ensembles of climate models." Thesis, University of Exeter, 2014. http://hdl.handle.net/10871/15292.

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Appropriate and defensible statistical frameworks are required in order to make credible inferences about future climate based on projections derived from multiple climate models. It is shown that a two-way analysis of variance framework can be used to estimate the response of the actual climate, if all the climate models in an ensemble simulate the same response. The maximum likelihood estimate of the expected response provides a set of weights for combining projections from multiple climate models. Statistical F tests are used to show that the differences between the climate response of the
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3

Vogt, Linus. "The role of the upper ocean for global ocean heat uptake and climate." Electronic Thesis or Diss., Sorbonne université, 2024. https://theses.hal.science/tel-04951110.

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Le climat terrestre connaît actuellement des changements rapides et généralisés. Les activités humaines depuis l'ère industrielle, en particulier les émissions de CO2 dans l'atmosphère dues à la combustion de combustibles fossiles, ont intensifié l'effet de serre. Cela a entraîné une augmentation de la température moyenne de l'air à la surface du globe de 1.1°C en 2011-2020 par rapport à 1850-1900. Une autre conséquence majeure est le réchauffement des océans mondiaux, qui ont absorbé plus de 90% de l'énergie excédentaire accumulée dans le système climatique en raison de l'augmentation du forç
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4

Tran, Ngo Quoc Huy. "Planification de mouvement pour les systèmes dynamiques multi-agents dans un environnement variable." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT099.

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Cette thèse propose des solutions de commande basées sur la planification optimale de trajectoires pour des systèmes dynamiques multi-agents fonctionnant dans un environnement variable (avec obstacles statiques ou mobiles et des perturbations variables dans le temps).Cette planification de trajectoires repose sur l'utilisation combinée de la théorie des ensembles (en particulier des ensembles convexes bornés), de la commande prédictive non-linéaire (NMPC), du calcul de champs de potentiel et des méthodes basées sur des graphes. Elle se base sur la construction de champs de potentiel répulsifs
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5

Körner, Stephan [Verfasser], Eike [Akademischer Betreuer] Stumpf, and Ch [Akademischer Betreuer] Breitsamter. "Multi-Model Ensemble Wake Vortex Prediction / Stephan Körner ; Eike Stumpf, Ch. Breitsamter." Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/116245122X/34.

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6

Ben, Houria Zeineb. "Optimisation de la gestion du service de maintenance biomédicale." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSES057/document.

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Le milieu hospitalier est un monde à la fois sensible et complexe, sensible parce que la vie humaine est en jeu et complexe parce que les équipements médicaux augmentent en nombre et en complexité technique. Ainsi, afin de préserver le bon état de fonctionnement de ces équipements et à un niveau élevé de disponibilité, leur entretien est devenu l'une des préoccupations majeures des responsables de l’hôpital. L’objectif de cette thèse est de proposer, aux responsables de maintenance biomédicale dans les établissements de soins, des outils d’aide à la décision qui permettent une meilleure maitri
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7

Elvidge, Sean. "On the use of multi-model ensemble techniques for ionospheric and thermospheric characterisation." Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/5526/.

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Space weather can have a negative impact on a number of radio frequency (RF) systems, with mitigation by ionospheric and thermospheric modelling one approach to improving system performance. However, before a model can be adopted operationally its performance must be quantified. Taylor diagrams, which show a model’s standard deviation and correlation, have been extended to further illustrate the model’s bias, standard deviation of error and mean square error in comparison to observational data. By normalising the statistics, multiple parameters can be shown simultaneously for a number of model
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8

Islam, Syed Ataharul. "Multi-model Ensemble Approach for the Assessment of Climate Change Impacts on Water Resources." Thesis, Curtin University, 2017. http://hdl.handle.net/20.500.11937/59630.

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This research investigates the impact of climate change on water resources using a multi-model ensemble approach through rainfall-runoff projection for A2 and B1 emission scenarios of IPCC (AR4) for mid (2046-2065) and late (2081-2100) century in selected catchments of Western Australia. A bias correction method is also developed to correct projected runoff and a framework for extended hydrologic prediction (EHP) system is outlined. The findings are expected to be beneficial for planning future water resources.
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9

Monteiro, Eric. "Contributions aux méthodes numériques pour traiter les non linéarités et les discontinuités dans les matériaux hétérogènes." Phd thesis, Université Paris-Est, 2010. http://tel.archives-ouvertes.fr/tel-00601050.

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Motivé par l'étude de tissus biologiques, ce travail contribue aux développements d'outils numériques permettant de prédire la réponse mécanique de matériaux hétérogènes non linéaires dans lesquels les énergies d'interfaces deviennent prépondérantes. Ainsi, une méthode d'homogénéisation multi échelle combinée à une technique de réduction de modèle basée sur la décomposition orthogonale aux valeurs propres est proposée dans un cadre thermique et hyperélastique. Les énergies d'interfaces entre les différentes phases des composites sont décrites par un modèle d'interface cohérent et prises en com
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10

Ferrone, Alfonso. "Deterministic and probabilistic verification of multi-model meteorological forecasts on the subseasonal timescale." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11195/.

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In questo studio, un multi-model ensemble è stato implementato e verificato, seguendo una delle priorità di ricerca del Subseasonal to Seasonal Prediction Project (S2S). Una regressione lineare è stata applicata ad un insieme di previsioni di ensemble su date passate, prodotte dai centri di previsione mensile del CNR-ISAC e ECMWF-IFS. Ognuna di queste contiene un membro di controllo e quattro elementi perturbati. Le variabili scelte per l'analisi sono l'altezza geopotenziale a 500 hPa, la temperatura a 850 hPa e la temperatura a 2 metri, la griglia spaziale ha risoluzione 1 ◦ × 1 ◦ lat-lon e s
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11

MIRCHEV, MIROSLAV. "Cooperative processes in complex networks with imperfections." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2535297.

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Examples of cooperative behavior in complex networks with inherent or created imperfections are in the focus of study in this thesis. The complex networks represent real world systems where a number of entities cooperate through their interconnections. All entities and their interactions have some unique characteristics that determine the overall dynamics of the system. Therefore, the main topic of the thesis is the study of some of the effects of the uniqueness of the individual entities on the dynamical behavior of real systems, the effects of the neglecting of some physical aspects during m
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12

Poméon, Thomas [Verfasser]. "Evaluating the Contribution of Remote Sensing Data Products for Regional Simulations of Hydrological Processes in West Africa using a Multi-Model Ensemble / Thomas Poméon." Bonn : Universitäts- und Landesbibliothek Bonn, 2019. http://d-nb.info/1188731483/34.

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13

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

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14

Vogt, Gernot [Verfasser], Heiko [Gutachter] Paeth, and Jucundus [Gutachter] Jacobeit. "Future changes and signal analyses of climate means and extremes in the Mediterranean Area deduced from a CMIP3 multi-model ensemble / Gernot Vogt. Gutachter: Heiko Paeth ; Jucundus Jacobeit." Würzburg : Universität Würzburg, 2015. http://d-nb.info/1111636710/34.

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15

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

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16

Sangelantoni, Lorenzo. "From regional to local climate scenario: toward an integrated strategy for climate impacts reduction." Doctoral thesis, Università Politecnica delle Marche, 2016. http://hdl.handle.net/11566/243106.

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Situata al centro del Mediterraneo, uno degli “hot-spot” del cambiamento climatico, l’Italia è considerata una delle aree più suscettibili al cambiamento climatico globale. L’unicità della posizione geografica e l’elevata eterogeneità climatica rendono difficoltoso elaborare uno scenario climatico univoco per i differenti pattern climatici. In questo contesto, disporre di informazioni climatiche da scala regionale a locale diventa di strategica importanza. La ricerca si basa su questa essenziale transizione, definendo due scenari climatici per il 21° secolo a differente scala spaziale. Uno sce
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17

Muñoz, Mas Rafael. "Multivariate approaches in species distribution modelling: Application to native fish species in Mediterranean Rivers." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/76168.

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This dissertation focused in the comprehensive analysis of the capabilities of some non-tested types of Artificial Neural Networks, specifically: the Probabilistic Neural Networks (PNN) and the Multi-Layer Perceptron (MLP) Ensembles. The analysis of the capabilities of these techniques was performed using the native brown trout (Salmo trutta; Linnaeus, 1758), the bermejuela (Achondrostoma arcasii; Robalo, Almada, Levy & Doadrio, 2006) and the redfin barbel (Barbus haasi; Mertens, 1925) as target species. The analyses focused in the predictive capabilities, the interpretability of the models an
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18

Stapleton, Jennifer Rebecca. "SINGLE UNIT AND ENSEMBLE RESPONSE PROPERTIES OF THE GUSTATORY CORTEX IN THE AWAKE RAT." Thesis, 2007. http://hdl.handle.net/10161/404.

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Most studies of gustatory coding have been performed in either anesthetized or awake, passively stimulated rats. In this dissertation the influences of behavioral state on gustatory processing in awake rats are described. In the first set of experiments, the effects of non-contingent tastant delivery on the chemical tuning of single neurons were explored. Tastants were delivered non-contingently through intra-oral cannulas to restrained, non water-deprived rats while single unit responses were recorded from the gustatory cortex (GC). As the subjects' behavior progressed from acceptance to reje
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19

Wu, Tung-Ting, and 吳東庭. "Multi-Model Integrations for Ensemble Water Level Simulation." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/8k3pq3.

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碩士<br>國立臺北科技大學<br>土木與防災研究所<br>103<br>In the field of disaster prevention usually use forecasting to estimate the effect of disaster to archive risk management. The process of forecasting can use multi-model ensemble strategy to improve the performance of calculation’s reliability. However, in the past of integration in different model experience, the system must be customized to match the need of each project and model. Once the case was changed, these integrated systems might crash and then affect the destination of using technical way to prevent disaster. The aim of this study is proposing a
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20

Gau, Olivier. "Ensemble learning with GSGP." Master's thesis, 2020. http://hdl.handle.net/10362/93780.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics<br>The purpose of this thesis is to conduct comparative research between Genetic Programming (GP) and Geometric Semantic Genetic Programming (GSGP), with different initialization (RHH and EDDA) and selection (Tournament and Epsilon-Lexicase) strategies, in the context of a model-ensemble in order to solve regression optimization problems. A model-ensemble is a combination of base learners used in different ways to solve a problem. The most common ensemble is the mean,
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21

Landman, Stephanie. "A multi-model ensemble system for short-range weather prediction in South Africa." Diss., 2012. http://hdl.handle.net/2263/27018.

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Predicting the location and timing of rainfall events has important social and economic impacts. It is also important to have the ability to predict the amount of rainfall accurately. In operational centres forecasters use deterministic model output data as guidance for a subjective probabilistic rainfall forecast. The aim of this research is to determine the skill in an objective multi-model, multi-institute objective probabilistic forecast system. This was done by obtaining the rainfall forecast of two high-resolution regional models operational in South Africa. The first model is the Unifie
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22

Le, Roux Noelien. "Seasonal maize yield simulations for South Africa using a multi-model ensemble system." Diss., 2009. http://hdl.handle.net/2263/29970.

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Agricultural production is highly sensitive to climate and weather perturbations. Maize is the main crop cultivated in South Africa and production is predominantly rain-fed. South Africa’s climate, especially rainfall, is extremely variable which influences the water available for agriculture and makes rain-fed cropping very risky. In the aim to reduce the uncertainty in the climate of the forthcoming season, this study investigates whether seasonal climate forecasts can be used to predict maize yields for South Africa with a usable level of skill. Maize yield, under rain-fed conditions, is si
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23

Wang, Chun-Yu, and 王俊寓. "A study on the interannual prediction skills and bias correction of CMIP5 multi-model ensemble of decadal prediction experiments." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/j35ve2.

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碩士<br>國立中央大學<br>大氣科學學系<br>105<br>In this study, we use monthly data from the multi-model ensemble (MME) of Coupled Model Intercomparison Project Phase 5 (CMIP5) decadal prediction experiments to assess interannual prediction skills for several atmospheric and oceanic variables in Tropics (30°S-30°N). First, we applied pattern stability analyses to extract persistent empirical orthogonal functions (EOFs) from observations-based data as reference spatial patterns. By projecting CMIP5 MME predictions to the extracted EOFs, then we compared these associated time series to assess the MME prediction
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24

Vogt, Gernot. "Future changes and signal analyses of climate means and extremes in the Mediterranean Area deduced from a CMIP3 multi-model ensemble." Doctoral thesis, 2014. https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-117369.

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Considering its social, economic and natural conditions the Mediterranean Area is a highly vulnerable region by designated affections of climate change. Furthermore, its climatic characteristics are subordinated to high natural variability and are steered by various elements, leading to strong seasonal alterations. Additionally, General Circulation Models project compelling trends in specific climate variables within this region. These circumstances recommend this region for the scientific analyses conducted within this study. Based on the data of the CMIP3 database, the fundamental aim of thi
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25

Khelifi, Lazhar. "Contributions à la fusion de segmentations et à l’interprétation sémantique d’images." Thèse, 2017. http://hdl.handle.net/1866/20490.

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