Identifying and Modeling Spatio-temporal Structures in High Dimensional Climate and Weather Datasets with Applications to Water and Energy Resource Management
Weather and climate events are costly to society both financially and in terms of human health and well being. The costs associated with extreme climate events have motivated governments, NGOs, private investors, and insurance companies to use the data and tools at their disposal to estimate the pas...
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| Language: | English |
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2018
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| Online Access: | https://doi.org/10.7916/D8321CTB |