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ZENODO
Dataset . 2022
Data sources: ZENODO
ZENODO
Dataset . 2022
Data sources: Datacite
ZENODO
Dataset . 2022
Data sources: Datacite
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Development of Deep Convolutional Neural Network Ensemble Models for 36-Month ENSO Forecasts (Datasets)

Research datakeyboard_double_arrow_right Dataset 20 May 2022 English Publisher:Zenodo
Authors: Lops, Yannic; Choi, Yunsoo*; Mousavinezhad, Seyedali; Khan Salman, Ahmed; L. Nelson, Delaney; Singh, Deveshwar;

doi: 10.5281/zenodo.6568195 , 10.5281/zenodo.6568196

Development of Deep Convolutional Neural Network Ensemble Models for 36-Month ENSO Forecasts (Datasets)

Abstract

Processed input and output reanalysis datasets used used for evaluating the models' performances. Input dataset is used to feed the AI models for the ENSO forecast. Output dataset is used to evaluate the models' ENSO forecast performance.

* Corresponding Author

Related Organizations
Keywords

ERA5, ENSO, GODAS

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average