Forecasting El Niño and La Niña Using Spatially and Temporally Structured Predictors and a Convolutional Neural Network-Reference-Cited by-同舟云学术

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Forecasting El Niño and La Niña Using Spatially and Temporally Structured Predictors and a Convolutional Neural Network

Published:2021 Issue: Volume:14 Page:3438-3446
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Hashemi Mahdi^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9314330/09376101.pdf?arnumber=9376101

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. Non-linear modes of global sea surface temperature variability and their relationships with global precipitation and temperature;Environmental Research Letters;2024-01-18

4. Spatiotemporal convolutional long short-term memory for regional streamflow predictions;Journal of Environmental Management;2024-01

5. Retrieving Global Ocean Subsurface Density by Combining Remote Sensing Observations and Multiscale Mixed Residual Transformer;IEEE Transactions on Geoscience and Remote Sensing;2024

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