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Understanding Spatial Context in Convolutional Neural Networks Using Explainable Methods: Application to Interpretable GREMLIN
Publisher: American Meteorological Society
Validating GOES Radar Estimation via Machine Learning to Inform NWP (GREMLIN) Product over CONUS
Publisher: American Meteorological Society
Evaluation, Tuning and Interpretation of Neural Networks for Working with Images in Meteorological Applications
Publisher: American Meteorological Society
Abstract: This article discusses strategies for the development of neural networks (aka deep learning) for meteorological applications. Topics include evaluation, tuning and interpretation of neural networks for working with ...
Development and Interpretation of a Neural-Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations
Publisher: American Meteorological Society
Using Microwave Satellite Data to Assess Changes in Storminess over the Pacific Ocean
Publisher: American Meteorological Society
Abstract: his study analyzes 25 years of Special Sensor Microwave Imager (SSM/I) retrievals of rain rate and wind speed to assess changes in storminess over the open water of the Pacific Ocean. Changes in storminess are characterized ...
Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts
Publisher: American Meteorological Society
An Evaluation of NOAA Modeled and In Situ Soil Moisture Values and Variability across the Continental United States
Publisher: American Meteorological Society