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 86 for “"Weather Forecasting"”.
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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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The utility of total lightning observations in severe weather forecasting
A key aspect of short term weather forecasting is the ability to provide the public with adequate lead time in the event of severe weather. During severe weather events, it is vital that real time information such as radar data and spotter reports are available to aid National Weather Service (NWS) …
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Weather forecasting : the next generation : the potential use and implementation of ensemble forecasting
This thesis 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 …
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Cost-Benefit Analysis Model for Advanced Weather Forecasting Installations in Airport Terminal Areas
… (ORD) equipped with the Integrated Terminal Weather System (ITWS). The Integrated Terminal Weather System (ITWS) is a relatively new technology that forecasts convective weather movements thus allowing Air Traffic Control (ATC) personnel to re-direct flights inside the terminal area …
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Machine Learning for Improvement of Ocean Data Resolution for Weather Forecasting and Climatological Research
Severe weather events like hurricanes and tornadoes pose major risks globally, underscoring the critical need for accurate forecasts to mitigate impacts. While advanced computational capabilities and climate models have improved predictions, lack of high-resolution initial conditions still limits …
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On the Improvements of Boundary-Layer Representation for High Resolution Weather Forecasting in Costal-Urban Environments
… Although these systems have improved forecasting near-surface weather conditions, a comprehensive approach to represent urban impacts on the PBL is still limited. Improved PBL representation can lead to better weather and climate forecasts, benefitting human health, risk reduction from …
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Simulating Sea Breeze Type Climatologies: Implications for Wind Energy, Weather Forecasting and Sailing in the Southern North Sea
The energy industry is currently undergoing a revolution. In the southern North Sea, renewable energy production targets, set by European governments to counter growing concerns over climate change, have sparked an initiative to rapidly construct a large number of offshore wind farms. To meet the …
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The use of traditional weather forecasting by agro-pastoralists of different social groups in Bobirwa sub-district, Botswana
… variability. Advanced warning of upcoming weather information is, therefore, important in informing farming decisions. Traditional weather forecasting is often a major planning tool used to inform agro-pastoralists’ decision making and has been handed from one generation to another. For …
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Multimodal Machine Learning for Climate Adaptation
… machine learning frameworks for extreme weather forecasting. The multimodal ML approach integrates diverse sources and modalities of data, including text-based language, images, and tabular time series. The effectiveness of such an approach is showcased through two distinct case studies …
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The use of conditional and potential instability axes for severe weather forceasting
… thesis, we used an innovative approach to severe weather forecasting using traditional forecast parameters. The maximum theta-e (potential instability) in the lowest 300 mb and the deep-layer lapse rate (conditional instability) fields are two commonly used forecast parameters for severe weather …
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Prediction of terminal-area weather penetration based on operational factors
… to capacity. This is especially true during weather events. However, the degree to which weather impacts airspace capacity, particularly within the terminal region, is not well understood. Understanding how weather impacts terminal area capacity will be important for quantifying the …
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On the use of multivariate statistics to validate global climate models
… using the European Center for Medium Range Weather Forecasting numerical model modified by the Max Planck Institut fur Meteorologie for global climate modeling. The model used, known as ECHAM2, specified observed values of sea-surface temperature and sea-ice extent for 1970 to 1988.
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Commercial Farming Adaption to Drought as a Strategy for Stable Local Economic Growth in Ugu District Municipality
… to failure. The study recommends that the use of weather forecasting, vulnerability assessment, crops diversification, sustainable and efficient water management practice, cultivation of low water consuming crops, and systematic cropping pattern as some of the strategies which can mitigate the …
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IMPROVING MULTI-VARIATE TIME SERIES FORECASTING WITH DYNAMIC MULTI-HEAD ATTENTION ADJACENCY MATRIX
… is prevalent in many fields, such as finance, weather forecasting, and economics. Predicting future values of a time series can offer valuable insights for decision-making, such as identifying trends, detecting anomalies, and improving resource allocation. Existing research, including neural …
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Integrating Multi-Source Weather Data for Deep Learning
… certain trends in fields of climate change, weather forecasting and meteorology. This project extracts weather events data from multiple data sources that are supported by National Centers for Environmental information (NCEI) [1] and Amazon Web Services (AWS) [2]. Data sources include …
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Dynamics of downdruaghts and cold pools: an experimental and numerical study
… of downdraughts is therefore useful for weather forecasting. Typically, in weather forecasting downdraughts are modelled using the theory of a plume from Morton et al. (1956), which inherently assumes that the plume is long and thin. However, downdraughts are often wider than their height …
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Bridging the gap : comparative analysis of a gap filling X-band radar QPE algorithms and their implications for nowcasting and hydrological modeling
… the pivotal role of select nowcasting models in weather forecasting.
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A Relation-Algebraic Approach to L - Fuzzy Topology
… system engineering, image processing, and weather forecasting systems. This research focuses on applying the categorical framework of abstract L - fuzzy relations to L-fuzzy topology with ideas, concepts and methods of the theory of L-fuzzy sets. Since L-fuzzy sets were introduced to deal …
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Modeling with Attention in Demand Forecasting and Beyond
Time series forecasting is an important task in many fields from supply chain management to weather forecasting. Traditionally there have been many simple models that extrapolate trends and seasonal patterns from individual time series in order to forecast future values, but not until recently have …
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