MONAN-AI v04: Low-Resolution (HEALPix nside=8) Code, Weights, and Hindcasts

Authors: Feitosa, Otavio Medeiros; Manco, Ilenia; Jorge, Francieli; Simões, Paloma Angelina; Chovert, Angel Domínguez; Campos Velho, Haroldo Fraga de; Mercogliano, Paola; +1 Authors

doi: 10.5281/zenodo.20070654 , 10.5281/zenodo.20070653

MONAN-AI v04: Low-Resolution (HEALPix nside=8) Code, Weights, and Hindcasts

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Abstract

Companion deposit for the manuscript "MONAN-AI: Flow Matching on HEALPix Grids for Subseasonal-to-Seasonal Prediction" submitted to the Journal of Advances in Modeling Earth Systems (JAMES). This deposit contains the low-resolution (HEALPix nside=8, ~815 km pixel spacing, 768 equal-area pixels) configuration of MONAN-AI, the data-driven forecasting track of the MONAN (Model for Ocean-laNd-Atmosphere PredictioN) initiative. License: Code is released under Apache-2.0; weights, climatology, hindcasts, metrics and figures under CC-BY-4.0.

Keywords

MONAN, neural weather model, ensemble forecasting, atmospheric prediction, flow matching, HEALPix, ERA5, deep learning, subseasonal-to-seasonal, S2S

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