Bjørn-Gustaf J. Brooks

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Introduction Earth science data span many orders of magnitude in space and time scales. These data are increasingly large and complex, often representing long time series, making them difficult to analyze, visualize, interpret, and understand. Electronic data storage and high performance computing capacity enable creation of large data repositories and(More)
A new open source neural network temporal downscaling model is described and tested using CRU-NCEP reanalysis and CCSM3 climate model output. We downscaled multiple meteorological variables in tandem from monthly to sub-daily time steps while also retaining consistent correlations between variables. We found that our feed forward, error backpropagation(More)
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