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 31 for “"Nowcasting"”.
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Nowcasting GDP using dynamic factor model: A Bayesian approach
<p>Real-time nowcasting is an assessment of current economic conditions from timely released economic series (such as monthly macroeconomic data) before the direct measure (such as quarterly GDP figure) is disseminated. Dynamic factor models (DFMs) are widely used in econometrics to bridge series …
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Short-term precipitation nowcasting for composite radar rainfall fields
Precipitation nowcasting at very short lead times is a difficult and important earth science goal. The implications of nowcasting extend into aviation, flood forecasting and other areas. Using correlation analysis for the generation of velocity vectors to advect a composite radar rainfall field is …
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Dynamic model for space-time weather radar observation and nowcasting
A general framework of the dynamic model for space-time radar observations has been developed in the current research. There exist three difficulties in modeling spacetime radar observations: 1) high dimensionality due to the high-resolution radar measurements over a large area, 2) non-stationarity …
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Nowcasting Brazilian GDP: a performance assessment of dynamic factor models
This work compares dynamic factor model’s forecasts for Brazilian GDP. Our approach takes into account mixed frequencies and can handle missing data. We implement three models: the first is based on the Principal Components Analysis methodology; the second employs a two-step estimation method with …
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The design of a real-time nowcasting system for localised weather
… the design of such a real-time system for nowcasting. Local site-specific conditions are monitored using a custom-built, stand alone, Motorola 6809 based sub-system. Above ground information is received from the METEOSAT 4 geo-stationary satellite using a sub-system based on a commercially …
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Development of Remote Sensing Assisted Water Quality Nowcasting and Forecasting Models for Coastal Beaches
… framework is developed in this dissertation for nowcasting and forecasting recreational water quality of Holly Beach in Louisiana, USA. The modeling framework is composed of four models/systems: (1) an Artificial Neural Network (ANN) model (Model 1) and an US EPA Virtual Beach (VB) Program-based …
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Assessing Broadband and Spectral Irradiance Variability for Solar Nowcasting Using Statistical Analysis and Machine Learning
Solar photovoltaic (PV) resources are a key enabling technology in the global energy transition towards a more sustainable future. However, PV generation is highly variable due to the dynamic shading caused by clouds. To mitigate the effects of PV variability on electrical grid stability, grid …
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Developing proxy radar data with the aid of cloud-to-ground lightning for a nowcasting system
Air traffic managers need up to date nowcast information over the entire CONUS for efficient operations in the National Airspace System. In areas of degraded or no radar coverage, cloud-to-ground lightning (provided by the National Lightning Detection Network) can provide valuable information …
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Developing a Multi-Band GNSS Remote Sensing Station To Measure Precipitable Water Vapor for Flash Flood Nowcasting
<p>Flash flood nowcasting in Central and Southern Appalachia is particularly challenging due to steep terrain, narrow valleys, highly localized rainfall patterns, and limited measurement coverage. Traditional remote sensing methods, such as Doppler radar and microwave radiometry, suffer from …
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NON-PARAMETRIC STATISTICAL APPROACH TO CORRECT SATELLITE RAINFALL DATA IN NEAR-REAL-TIME FOR RAIN BASED FLOOD NOWCASTING
… events over recent decades, etc. Nowadays, flood nowcasting systems or early warning systems which run on real- time precipitation data are becoming more popular as they give reliable forecasts compared to traditional flood forecasting systems. However, these kinds of systems are often limited to …
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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
… its implications for hydrological modeling and nowcasting. Initially, a comparison between X-band and S-band radars with Integrated Multi-satellitE Retrievals for GPM (IMERG) showed comparable performances within 80km, with both radars surpassing IMERG estimations. However, the X-band's efficacy …
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Investor attention and stock market behaviour in Europe: Evidence from Google search data
… data as a powerful tool for both forecasting and nowcasting stock market performance. Specifically, it presents an empirical analysis that applies both nowcasting and forecasting methodologies using aggregated Google search data through the Google Search Volume Index (GSVI) across European stock …
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Improving Global Satellite Precipitation Products Utilizing Machine Learning
… products through deep-learning-based nowcasting is also investigated in this dissertation.IMERG is the most popular product among GPM products and is used for various scientific analyses/applications. The latest version of the IMERG (V06) was extended to the poles but still has gaps …
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MATHEMATICAL MODELLING FOR REAL-TIME AND PROSPECTIVE ASSESSMENT OF INFECTIOUS DISEASES
… of the time-varying reproduction number. A nowcasting algorithm based on recurrent updating is retrospectively validated using COVID-19 surveillance data from Italy. By comparing estimates obtained with and without nowcasting, the analysis quantifies how correcting for right truncation can …
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FLOOD PROJECTION AND ANALYSIS THROUGH STOCHASTIC DOWNSCALING
… that was originally developed for rainfall nowcasting using radar data. In this study, the stochastic model was first modified to adapt the tropical weather data. Singapore’s radar data were utilized to form the basis of the rainfall library of the model. The projected rainfall at high …
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Predicting surprises to GDP : a comparison of econometric and machine learning techniques
… study takes its inspiration from the practice of nowcasting, which involves making short horizon forecasts of specific data items, typically GDP growth in the context of economics. We alter this approach by targeting surprises to GDP growth, where the expectation is defined as the consensus …
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Predicción de la Actividad Económica Sectorizada a Corto Plazo en República Dominicana (2010–2025) mediante Técnicas Econométricas y de Machine Learning
… de investigación futura centradas en el uso de nowcasting con variables externas y la implementación de técnicas de selección automática de predictores.
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Satellite-based Analysis and Forecast Evaluation of Aviation Contrails
… from the ERA5 and HRRR models are compared to a nowcasting method that utilizes the aforementioned contrail detections and altitude estimates. This comparison is performed using traditional forecast evaluation methods, as well as a novel framework developed specifically for assessing the …
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Investigation of the comma-head stability structure of wintertime mid-latitude cyclones using high-resolution observations
… forecasts in the short-term and provide better nowcasting abilities.
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