Machine Learning Downscaling Capability for Environmental Forecasts
This grant opportunity seeks to develop advanced environmental forecasting capabilities utilizing machine learning. The goal is to achieve highly detailed, near real-time forecasts for the atmosphere, ocean, sea ice, and ionosphere at spatial resolutions under 1 km and vertical resolutions of around 10 m. The project is divided into three phases:
Phase I: Explore innova…
Develop a capability to generate skillful, near real-time environmental forecasts (of the atmosphere, ocean, sea ice, and/or ionosphere) at a much higher spatial horizontal resolution (less than 1 km) and vertical resolution (on the order of 10 m, particularly in the atmospheric boundary layer a…
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