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.
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Showing 1 to 20 of 20 for “"Numerical Weather Prediction Models"”.
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Forecasting wind power for the day-ahead market using numerical weather prediction models and computational intelligence techniques
… in the literature that meteorological models are necessary when forecasting more than six hours into the future. Most state-of-the-art forecasting tools use a combination of Numerical Weather Prediction (NWP) forecasts and observations to estimate the power output of a single wind …
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Weather forecasting : the next generation : the potential use and implementation of ensemble forecasting
… discusses ensemble forecasting, a promising new weather forecasting technique, from various viewpoints relating not only to its meteorological aspects but also to its user and policy aspects. Ensemble forecasting was developed to overcome the limitations of conventional deterministic weather …
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Estimation of catchment flood potential using satellite data
… satellite-derived fields with those produced by numerical weather prediction models and some aspects of the system are observed to benefit from this approach.
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The evolution of coastal lows along the south coast of South Africa
… to aviation and shipping. Current global scale numerical weather prediction models do not forecast the intensity of these mesoscale systems well. A study of the coastal low is made with the aim of improving knowledge about the coastal low in general, and of strong coastal lows in particular, in …
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Rotational Transformation Methods for Radio Occultation and Passive Microwave Radiometry Colocation Analysis
… useful atmospheric profiles for inputs into Numerical Weather Prediction models. However, both remote sensing techniques face unique challenges that require auxiliary atmospheric data to mitigate. GNSS-RO provides extremely high vertical resolution retrievals in the Marine Boundary Layer but …
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A numerical modeling investigation of entrainment in cumulus congestus clouds and its effects upon precipitation
… quantitative precipitation forecast skill of numerical weather prediction models and the highly sensitive precipitation biases in climate models. Inspired by a recent field investigation of convection over England in 2013, the research presented in this dissertation seeks to improve the …
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Regional Differences in the Spatial Patterns of Precipitation Bands in Hurricanes Through Landfall along the Gulf of Mexico and Atlantic Coasts of the United States
… cyclones (TCs) are sometimes misrepresented in numerical weather prediction models due to the rapid nature of TC structure changes that accompany intensity change. To better understand quantitative changes in TC rainband structure around landfall, I quantify the spatial distribution of …
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Coastal surface circulation of the Gulf of Cadiz from satellite altimetry measurements
… (WS) retrievals for validation/calibration of numerical weather prediction models (NWPM), specifically the Weather Research and Forecasting (WRF) model over the complex area of the Gulf of Cadiz. To assess the applicability of altimetry data for this purpose, the study compares Sentinel-3A/B …
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Probabilistic and Statistical Learning Models for Error Modeling and Uncertainty Quantification
… real world phenomena. However, even advanced numerical models can only approximate the true physics. The discrepancy between model results and nature can be attributed to different sources of uncertainty including the parameters of the model, input data, or some missing physics that is not …
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Flood modelling in the Ammer watershed using coupled meteorological and hydrological models
Numerous applications of hydrologic models have shown their capability to simulate hydrologic processes up to a reasonable degree of certainty. In terms of flood modeling, the hereby required quality of the key input parameter precipitation is of vast importance but often remains questionable. This …
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A multi-sensor approach to the retrieval and model validation of global cloudiness
… often are clouds oversimplified in atmospheric models simply for lack of a sound physical understanding of their integral role in the system. Historically, our knowledge of atmospheric variables has been steeped in a tradition of observations, and clouds are no exception. Hence, the onus falls …
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Understanding the Impacts of Extreme Weather on the Power Transmission Infrastructure: A Machine Learning Approach to Quantifying Risks and Enhancing Grid Resilience
… particularly in the face of extreme weather events such as hurricanes. The research is anchored on the case of the passage of Hurricane Maria in the Island of Puerto Rico in September of 2017 which caused the largest damage on the power infrastructure in US history. As such, the …
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A dynamical system approach to data assimilation in chaotic models
… AUS- BDAS has already been tested in realistic models and observational configurations, including a Quasi-Geostrophicmodel and a high dimensional, primitive equation ocean model; the experiments include both fixed and“adaptive”observations. In these contexts, the AUS-BDAS approach greatly …
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On intraseasonal variability in the tropics: tropical cyclones, the Madden-Julian Oscillation, and equatorial waves
… by sampling the internal variability of ensemble numerical weather prediction models. It is shown that including state-dependent forecast uncertainty can lead to significant improvements in pointwise wind speed forecasts on lead times longer than around 3-days. The second part of this thesis …
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Effect of latent heating on mesoscale vortex development during extreme precipitation: Colorado, September 2013
… microphysical process. The Advanced Research Weather Research and Forecast (ARW) model was used to 1) produce a control simulation that properly represented the evolution and processes of interest during the event and 2) test the importance of latent heating to the development and evolution of …
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Improved Intermittent Clutter Filtering For Wind Profiler Radar
… most of the data are successfully assimilated in numerical weather prediction models. Although this is an obvious indication of maturity, practical experience has shown that further improvements are both possible and necessary. While the high sensitivity of these clear-air radars is required for …
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A pragmatic Bayesian approach to wind field retrieval
… and filtering process that is reliant on numerical weather prediction models. The wind vectors are retrieved by the local inversion of a forward model, mapping scatterometer observations to wind vectors, and minimising a cost function in scatterometer measurement space. This thesis applies …
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Surface-Atmosphere coupling over the central Arctic Ocean
… lower latitudes through the modification of weather patterns and ocean circulation. There is a need to accurately represent the Arctic region on various timescales to predict future climate changes and to produce improved seasonal and sub-seasonal mid-latitude weather forecasts. Both climate …
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Understanding Coastal and Inland Hydrometeorological Hazards Produced by Extratropical and Tropical Cyclones along the East Coast of the United States
… these general relationships can be utilized in weather forecasts as a first step in assessing the likelihood of future flood occurrences. Medium-range forecasts from numerical weather prediction models are likely to have smaller biases in the representation of synoptic-scale features and the …
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Satellite-based Analysis and Forecast Evaluation of Aviation Contrails
… avoidance. With recent studies indicating that numerical weather prediction models have limited ability to predict ice supersaturation, there is a pressing need for further evaluation of the capability of models to predict contrail persistence as well as their improvement. Despite efforts made …