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Regional data-driven weather modeling with a global stretched-grid

By Thomas Nils Nipen and others
A data-driven model (DDM) suitable for regional weather forecasting applications is presented. The model extends the Artificial Intelligence Forecasting System by introducing a stretched-grid architecture that dedicates higher resolution over a regional area of interest and maintains a lower resolution elsewhere on the globe. The model is based on graph... Show more
September 4, 2024
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Regional data-driven weather modeling with a global stretched-grid
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