Essays about: "meteorologi"
Showing result 1 - 5 of 14 essays containing the word meteorologi.
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1. Precipitation Nowcasting using Deep Neural Networks
University essay from KTH/FysikAbstract : Deep neural networks (DNNs) based on satellite and radar data have shown promising results for precipitation nowcasting, beating physical models and optical flow for time horizons up to 8 hours. “MetNet”, developed by Google AI, is a 225 million parameter DNN combining three different types of architectures that was trained on satellite and radar data over the United States. READ MORE
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2. A Statistical Overview of the Spatial Atmospheric Variability Over Isfjorden, Svalbard
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : The atmospheric spatial variability over Isfjorden, Svalbard, was investigated through statistical data analysis. The data used in the thesis was measured by mobile weather stations installed on three ships crossing the fjord, and two stationary weather stations close to the shoreline, during the autumn of 2021 and spring to autumn 2022. READ MORE
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3. Large-Scale Atmospheric Drivers of Extreme Temperature Anomalies During Springtime in the Arctic
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : In this project warm extreme temperature events in the Arctic region during the spring months March, April and May were identified and analysed. In the analysis daily average NCEP reanalysis data from NOAA/OAR/ESRL PSL format was used. READ MORE
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4. Characterisation of Low-Level Jets and their Influence on Low-Level Clouds over the Baltic Sea; Östergarnsholm Observatory, Sweden
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikAbstract : In this study, about two years of data from Östergarnsholm in the Baltic Sea are used to analyse offshore low-level clouds (LLCs) influenced by low-level jets (LLJs) in the marine atmospheric boundary layer. The LLJs are passages of strong horizontal winds near the surface and are measured using a Doppler LiDAR, which provides information about the wind speed and wind direction up to 300 meters. READ MORE
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5. Using machine learning to identify the occurrence of changing air masses
University essay from Uppsala universitet/Institutionen för teknikvetenskaperAbstract : In the forecast data post-processing at the Swedish Meteorological and Hydrological Institute (SMHI) a regular Kalman filter is used to debias the two meter air temperature forecast of the physical models by controlling towards air temperature observations. The Kalman filter however diverges when encountering greater nonlinearities in shifting weather patterns, and can only be manually reset when a new air mass has stabilized itself within its operating region. READ MORE