AIMC Topic: El Nino-Southern Oscillation

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Explainable deep learning for insights in El Niño and river flows.

Nature communications Jan 20, 2023
The El Niño Southern Oscillation (ENSO) is a semi-periodic fluctuation in sea surface temperature (SST) over the tropical central and eastern Pacific Ocean that influences interannual variability in regional hydrology across the world through long-ra...
Temperature Deep Learning Rivers Pacific Ocean El Nino-Southern Oscillation
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Spatiotemporal neural network with attention mechanism for El Niño forecasts.

Scientific reports May 3, 2022
To learn spatiotemporal representations and anomaly predictions from geophysical data, we propose STANet, a spatiotemporal neural network with a trainable attention mechanism, and apply it to El Niño predictions for long-lead forecasts. The STANet ma...
Neural Networks, Computer Forecasting Learning El Nino-Southern Oscillation
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Characterizing and forecasting the responses of tropical forest leaf phenology to El Nino by machine learning algorithms.

PloS one Aug 26, 2021
Climate change and global warming have serious adverse impacts on tropical forests. In particular, climate change may induce changes in leaf phenology. However, in tropical dry forests where tree diversity is high, species responses to climate change...
Machine Learning Algorithms Plant Leaves Forests Seasons Trees Plant Physiological Phenomena El Nino-Southern Oscillation Tropical Climate
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Deep learning for multi-year ENSO forecasts.

Nature Sep 18, 2019
Variations in the El Niño/Southern Oscillation (ENSO) are associated with a wide array of regional climate extremes and ecosystem impacts. Robust, long-lead forecasts would therefore be valuable for managing policy responses. But despite decades of e...
Forecasting Temperature Deep Learning Models, Statistical El Nino-Southern Oscillation
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