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ZENODO
Dataset . 2022
License: https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: http://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: Datacite
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Claim

Interpretable Deep Learning for Probabilistic MJO Prediction: CNN Forecasts

Research datakeyboard_double_arrow_right Dataset 08 Jul 2022Publisher:ZenodoFunded by:UKRI | Reliable Climate Projecti...
Authors: Christensen, Hannah M.; Delaunay, Antoine;

doi: 10.5281/zenodo.5175837 , 10.5281/zenodo.5175836

Interpretable Deep Learning for Probabilistic MJO Prediction: CNN Forecasts

Abstract

This repository contains data produced for the paper "Interpretable Deep Learning for Probabilistic MJO Prediction" by A. Delaunay and H. M. Christensen (2021). >> mu_ens_XX.pt contains the mean forecasts from each ensemble member at a lead time of XX days >> cov_alea_XX.pt contains the aleatoric predictions of each ensemble member at a lead time of XX days

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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