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Showing result 1 - 5 of 98 swedish dissertations matching the above criteria.
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1. Image Based Visualization Methods for Meteorological Data
Abstract : Visualization is the process of constructing methods, which are able to synthesize interesting and informative images from data sets, to simplify the process of interpreting the data. In this thesis a new approach to construct meteorological visualization methods using neural network technology is described. READ MORE
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2. Information Needs for Water Resource and Risk Management : Hydro-Meteorological Data Value and Non-Traditional Information
Abstract : Data availability is extremely important for water management. Without data it would not be possible to know how much water is available or how often extreme events are likely to occur. The usually available hydro-meteorological data often have a limited representativeness and are affected by errors and uncertainties. READ MORE
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3. Flood Prediction in data-scarce basins : Maximising the value of limited hydro-meteorological data
Abstract : Floods pose a threat to society that can cause large socio-economic damages and loss of life in many parts of the world. Flood-forecasting models are required to provide simulations at temporal resolutions higher than a day in basins with concentration times smaller than 24 h. READ MORE
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4. Data Partitioning Methods and Parallel Block-Oriented PDE Solvers
Abstract : Data partitioning methods for block-structured problems within scientific computing have been studied. The applications are variational data assimilation in meteorology, ocean modeling, and airflow simulation with multiblock grids. READ MORE
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5. On errors in meteorological data assimilation
Abstract : Data assimilation in Numerical Weather Prediction (NWP) optimally blends observations with atmospheric model data in order to obtain the best possible initial state for an atmospheric model prediction. Specification of error characteristics is an important part of data assimilation. READ MORE