Search for dissertations about: "weather satellite"
Showing result 1 - 5 of 48 swedish dissertations containing the words weather satellite.
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1. Dynamical aspects of coherent eddies in the North Atlantic Ocean : Insights from Satellite Observations
Abstract : Oceanic mesoscale eddies, often referred to as the “weather of the ocean”, have horizontal scales of O(10) − O(102) kilometers and timescales spanning days to months. These structures comprise a complex system of coherent eddies (meaning they retain their shape and structure over time and space), filaments, and spirals that influence the transport of heat, salt, and nutrients in the ocean. READ MORE
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2. Advanced Remote Sensing Precipitation Input for Improved Runoff Simulation : Local to regional scale modelling
Abstract : Accurate precipitation data are crucial for hydrological modelling and rainwater runoff management. Precipitation variability exists through a wide range of spatial and temporal scales and cannot be captured well using sparse rain gauge networks. READ MORE
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3. Satellite measurements of upper tropospheric water
Abstract : Water vapour and clouds in the upper troposphere have strong influence on the Earth's climate system. The present uncertainties regarding the distribution and feedback mechanisms of water to a changing climate are today among the greatest limitations for accurate climate predictions. READ MORE
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4. Spaceborne Synthetic Aperture Radar for Sea Ice Observations, Concentration and Dynamics
Abstract : Spaceborne Synthetic Aperture Radar (SAR) is the primary choice for sea ice monitoring due to its all-weather, day-and-night capability and regular delivery of high resolution images. This thesis presents methods for estimation of sea ice concentration and drift, a multi-sensor study of Baltic Sea ice radar signatures and an interferometric study of landfast sea ice. READ MORE
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5. Space Weather Physics: Dynamic Neural Network Studies of Solar Wind-Magnetosphere Coupling
Abstract : This thesis presents studies of solar wind-magnetosphere coupling using dynamic neural networks in combination with statistically correlative analysis. The primary contribution of the thesis is dynamic neural network models that can be implemented for near real-time predictions of geomagnetic storms from the solar wind alone. READ MORE