LightGBM with surrounding-grid feature selection and Tweedie loss for precipitation yields lower RMSE than raw MSM forecasts, MSMG, and some CNN baselines across many Japanese locations and lead times.
Wind speed forecast based on post-processing of numerical weather predictions using a gradient boosting decision tree algorithm
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Improvements to the post-processing of weather forecasts using machine learning and feature selection
LightGBM with surrounding-grid feature selection and Tweedie loss for precipitation yields lower RMSE than raw MSM forecasts, MSMG, and some CNN baselines across many Japanese locations and lead times.