Identifying atmospheric rivers and their poleward latent heat transport with generalizable neural networks: ARCNNv1

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Citation for Identifying atmospheric rivers and their poleward latent heat transport with generalizable neural networks: ARCNNv1

Mahesh, A., O’Brien, T. A., Loring, B., Elbashandy, A., Boos, W., & Collins, W. D. (2024). Identifying atmospheric rivers and their poleward latent heat transport with generalizable neural networks: ARCNNv1. Geoscientific Model Development, 17(8), 3533–3557. https://doi.org/10.5194/gmd-17-3533-2024

The Calibrated and Systematic Characterization, Attribution, and Detection of Extremes (CASCADE) project advances the Nation’s ability to identify and project climate extremes and how they are impacted by environmental drivers.