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Advancements in Meso-Scale Climate Modeling for Enhanced Prediction Accuracy

The scientific challenge of mesoscale climate modeling lies in accurately simulating complex weather phenomena that occur on small spatial scales. Current understanding has made strides, yet limitations in resolution and computational capabilities remain. Addressing this challenge entails developing new modeling techniques, improving data assimilation methods, and fostering collaboration across disciplines. Key steps include enhancing high-performance computing resources and integrating advanced observational data. The pursuit of this research direction will significantly impact climate predictions, providing crucial insights into regional weather patterns.

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Advancements in Meso-Scale Climate Modeling for Enhanced Prediction Accuracy

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  1. Mesoscale Priority Research Direction (INSERT TITLE) Approach Opportunity Brief overview of the underlying scientific challenge/current state of understanding What can be done to address the challenge? What are the key steps along the way? What new tools and techniques need to be developed to address the challenge? Meso Challenge Impact How will pursuit of the research direction, including the meso opportunity, impact the scientific challenge? What makes it meso? References: http://www.meso2012.com/pdfs/MesoBESAC2-24-12.pdf 1 Contact:

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