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 27 for “"weather prediction models"”.
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Assessment of the Accuracy of Numerical Weather Prediction Models in Africa and South America Using Surface Observations.
North Carolina State University Theses Marine, Earth and Atmospheric Sciences.
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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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A multivariate autoregressive model for limited area weather forecasting
… of limited-area research and operational weather prediction models. We give a complete description of the implementation of the multivariate autoregressive research model. This includes a FORTRAN program and three order selection routines. We conclude with a discussion on possible …
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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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KALMAN FILTER BASED TECHNIQUES FOR ASSIMILATION OF RADAR DATA
… of radar data in storm-scale numerical weather prediction models is essential for improved forecasts of thunderstorm events. The huge computational cost of assimilating the high temporal and spatial resolution radar observations poses a challenge to the data assimilation techniques. The …
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Estimation of catchment flood potential using satellite data
… 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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Atmospheric radiative transfer in multiple scattering conditions. Application to NWP models.
… for fast RT codes used in climate and weather prediction models. Cirrus clouds cover permanently 30% of the Earth's surface, representing an important contribution to the Earth-atmosphere radiation balance. The work has been focussed on the development of the RT model LBLMS. The model, …
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The evolution of coastal lows along the south coast of South Africa
… 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 order to …
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Rotational Transformation Methods for Radio Occultation and Passive Microwave Radiometry Colocation Analysis
… 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 by itself …
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A numerical modeling investigation of entrainment in cumulus congestus clouds and its effects upon precipitation
… 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 current …
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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
… (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 precipitation in 62 …
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Coastal surface circulation of the Gulf of Cadiz from satellite altimetry measurements
… 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 (S3A/B) WS …
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Probabilistic and Statistical Learning Models for Error Modeling and Uncertainty Quantification
… 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 included in …
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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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Assessment of Model Forecast Temperature Bias During Cold Air Damming in the Central Appalachian Mountains
… (CAD) is a prevalent Mid-Atlantic United States weather phenomenon that occurs when cold, dense air is dammed alongside the eastern slopes of the Appalachian Mountains. Lower-than-normal maximum temperatures, increased and prolonged cloud cover, and precipitation that produces hazardous impacts …
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On intraseasonal variability in the tropics: tropical cyclones, the Madden-Julian Oscillation, and equatorial waves
… 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 addresses how …
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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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