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RISStorm Gust Prediction with the Integration of Machine Learning Algorithms and WRF Model Variables for the Northeast United States
Publisher: American Meteorological Society
Using a Bayesian Regression Approach on Dual-Model Windstorm Simulations to Improve Wind Speed Prediction
Publisher: American Meteorological Society
Abstract: eather prediction accuracy is very important given the devastating effects of extreme-weather events in recent years. Numerical weather prediction systems are used to build strategies to prevent catastrophic losses of human ...
Long-Range Transport of Anthropogenically and Naturally Produced Particulate Matter in the Mediterranean and North Atlantic: Current State of Knowledge
Publisher: American Meteorological Society
Abstract: During the past 20 years, organized experimental campaigns as well as continuous development and implementation of air-pollution modeling have led to significant gains in the understanding of the paths and scales of pollutant ...
Combined Kalman Filter and Universal Kriging to Improve Storm Wind Speed Predictions for the Northeastern United States
Publisher: American Meteorological Society
Abstract: AbstractThe scope of this study is to assess a combination of well-known techniques for bias reduction and spatial interpolation in an attempt to improve wind speed prediction for storms on a gridded domain. This is ...
A New Approach to Predict Tributary Phosphorus Loads Using Machine Learning– and Physics-Based Modeling Systems
Publisher: American Meteorological Society