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Climate Model Acceleration with AI by mary isaak is a document available to read on EtoBox.

What is Climate Model Acceleration with AI about?

This document discusses using neural networks to accelerate climate model computation. It presents three approaches: running a high-resolution physical model (PDPM); using a convolutional neural network to predict future fields from past data (DDSM); and a hybrid approach (HPSM) where a low-resolution physical model is run and a CNN is used to upscale its output. Experiments show the DDSM approach reduced computation time by 1/4 and the HPSM approach reduced it by 1/3, while still accurately predicting fiel

Author

mary isaak

Language

EN