Essays about: "Meteorology"
Showing result 16 - 20 of 53 essays containing the word Meteorology.
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16. Nowcasting with Dynamic Factor Model and Real-Time Vintage Data: A financial market actor's perspective
University essay from Lunds universitet/Matematisk statistikAbstract : We develop and examine a dynamic factor nowcasting model (DFM) from the perspective of a financial market participant. The first point of analysis is the examination of its performance. Unlike other papers, we evaluate with daily frequency so that the performance metric reflects a continuous nowcasting signal. READ MORE
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17. Verification of HARMONIE-AROME, ECMWF-IFS and WRF: Visibility and Cloud Base Height
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Visibility and cloud base height are two important parameters within aviation meteorology and verification of operational numerical weather prediction (NWP) models with regard to these two parameters is therefore important. Visibility is often parameterized through an extinction coefficient, which is dependent on for example liquid or ice water content, however it also depends on the humidity, precipitation intensity and particle concentration. READ MORE
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18. Wind Forecasts Using Large Eddy Simulations for Stratospheric Balloon Applications
University essay from Luleå tekniska universitet/RymdteknikAbstract : The launch of large stratospheric balloons is highly dependant on the meteorological conditions at ground level, including wind speed. The balloon launch base Esrange Space Center in northern Sweden currently uses forecasts delivered through the Swedish Meteorological and Hydrological Institute to predict opportunities for balloon launches. READ MORE
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19. Attempts at using Bayesian neural networksfor uncertainty assessments of temperature forecasts
University essay from Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionenAbstract : This thesis describes attempts at estimating the uncertainty of the 2-metre temperature forecast error from a probabilistic point of view, utilizing Bayesian neural networks. Bayesian neural networks are a type of machine-learning algorithms used to find patterns in data and make probabilistic predictions. READ MORE
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20. Climate Change and Precipitation Variability Influence on the Greenland Ice Sheet
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikAbstract : Climate changes have a large impact on precipitation patterns and precipitation variability change. With this in mind, precipitation over Greenland is studied. This is done for present day precipitation model data from 1991-2010 compared to future model simulations of precipitation for 2081-2100. READ MORE