Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 26 for “"Model Ensemble"”.
-
Analyzing recent latitudinal and seasonal changes in simulated atmospheric temperatures from a global chemistry-climate model
… change using satellite data and the CMIP5 multi-model ensemble over 1979-2016. They identify the first seasonal fingerprint in the northern hemisphere annual cycle and structure of warming, but do not specify what forcing agent (e.g. ozone, soot, or greenhouse gases) is responsible for causing …
-
An application of climate change ensemble averaging methods to fisheries management
… weighted average over different assessment models (also termed Operating Models, or OMs) in an ensemble is used. In order to address these problems, a number of methods used in climate change to address similar problems are applied in the case of the hake fishery. The aim is to determine the …
-
End-to-End Ensemble Modelling for Water Resources Planning Under Uncertainty
A hydrological model ensemble, considering two model structures (CatchMOD and PDM), parameter uncertainty and two contrasting methods for estimating potential evapotranspiration (PET), is developed to investigate the relative significance of different sources of uncertainty for water resources …
-
The influence of heat transport on Arctic amplification
… Arctic amplification have used either a single model run or have compared results from a multi-model ensemble. While the multi-model ensemble approach may potentially average out biases in individual models, the ensemble spread confounds the model differences and the internal climate …
-
Machine learning for real-time demand forecasting
… researches usually examine a couple of candidate models by setting up an evaluation metric and testing the overall forecasting performance of each model, finally the best model is selected. However, the best model might be changing from time to time, since the taxi demand patterns are sensitive to …
-
Weighted ensemble analysis of extreme precipitation under climate change
… 13 statistical downscaling general circulation models under 3 CMIP3 emission scenarios: A1B, A2 and B1, as well as from 17 stations in NCDC and CCPN rain gage network. Then precipitation events of different recurrence intervals are calculated through regional frequency analysis and based on …
-
Attribution of the 2015-2016 hydrological drought in KwaZulu-Natal to anthropogenic climate change
… simulations with HadAM3p global climate model. Prior to simulations in attribution mode, QSWAT model was set up for the study area and calibrated using SWAT-CUP and SUFI-2. Calibration results were poor but the model could be applied in the context of this study, under certain …
-
Predictive Models for Visuomotor Feedback Control in Object Pile Manipulation
… In addition, how can we build predictive models over such representations that can be useful for their task-free generality? In the first chapter of this thesis, we investigate using the image observation directly as state, and compare different models that can be useful over this space of …
-
Meteorological Impacts on Streamflow: Analyzing Anthropogenic Climate Change's Effect on Runoff and Streamflow Magnitudes in Virginia's Chesapeake Bay Watershed
… processes (evapotranspiration) throughout an ensemble of 31 general circulation models (GCMs) used by the Chesapeake Bay Program (CBP). Trends are compared with surface runoff generation patterns for a variety of land uses to investigate climate's effect on runoff generation. Scenarios …
-
Studies of Protein-Protein and Protein-Water Interactions by Small Angle X-Ray Scattering, Terahertz Spectroscopy, ASMOS, And Computer Simulation
… of solvated proteins directly from SAXS data. An ensemble of proteins was modeled by Metropolis Monte Carlo and Molecular Dynamics simulations, and the global X-ray scattering of the whole model ensemble was computed at each snapshot of the simulation. The interaction potential model was optimized …
-
Modeling the Greenland Ice Sheet response to climate change in the past and future
… a new approach has been developed and applied to modeling the GIS response to climate change. The advantages compared to previous approaches are (i) that it can be applied over a wide range of climatic scenarios (both in the deep past and the future), (ii) that it includes the relevant feedback …
-
Adaptation strategies to climate change in the Tropics: analysis of two multifactorial systems (high-altitude Andean ecosystems and Plasmodium falciparum malaria infections)
… trends in malaria incidence. I propose a multi-model ensemble of malaria process-based models to offer useful information that could effectively guide decision-makers in risk assessment, malaria control investments and choice of interventions. I work on the integration of short-, medium- and …
-
Numerical simulation and optimisation of polymer flooding in a heterogenous reservoir : constrained versus unconstrained optimisation
… to generate training runs from which a proxy model was created using polynomial regression. A particle swarm optimization algorithm was employed to optimize the NPV for the polymer flood. The same approach was used to optimize a standard water flood for comparison. Optimizations of the polymer …
-
Computational modeling techniques for biological network productivity increases : optimization and rate-limiting reaction detection
… with a new ordinary differential equation (ODE) model based on the mass-action rate law (MRL) of the biochemical reactions. It describes the detailed biochemical mechanisms of the enzyme reactions, and therefore reflects closely of how the enzymes work in the systems. Because the MRL models are …
-
Precipitation prediction over High Mountain Asia using Gaussian processes
… and bias-correct precipitation outputs from models have several limitations, especially over complex terrain. Future precipitation is even more challenging to predict. Improving predictions will enhance hydrological modelling, strengthen water resource management, and ultimately help …
-
Learning Representations for Limited and Heterogeneous Medical Data
… sentence translation using statistical language modeling. Using metrics of clinical correctness and readability, the developed method outperforms a dictionary-based algorithm in both word- and sentence-level translation. For learning better data representations of limited numbers of ultrasound …
-
The importance of ocean internal variability for coupled climate modeling in the community earth system model
… use tools such as global coupled climate model ensembles to attempt to quantify these uncertainties. Quantifying different types of uncertainties involved in modeling the Earth’s climate system is of high importance as processes within the climate system are chaotic and challenging to …
-
Auto-Segmentation In Pancreatic and Liver Radiation Therapy
… the adaptive nnU-Net architecture to develop a model ensemble capable of contouring various organs, including the duodenum, small bowel (ileum and jejunum), large bowel, liver, spleen, kidneys, and spinal cord. The performance of the segmentation tool was evaluated on 75 patients using both …
-
Ensemble models to assess the risk of exotic plant pathogens in a changing climate
In recent decades, species distribution models (SDMs) have been widely used in many ecological, environmental and climate-change research studies to model invasive species establishment. These models associate recorded locations of species with environmental variables. Nevertheless, the few studies …
Page 1 of 2