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Found 2 papers, 1 papers with code
Efficient modeling of sub-kilometer surface wind with Gaussian processes and neural networks
Accurately representing surface weather at the sub-kilometer scale is crucial for optimal decision-making in a wide range of applications.
Physics-constrained deep learning postprocessing of temperature and humidity
Weather forecasting centers currently rely on statistical postprocessing methods to minimize forecast error.
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