ENSO‐GTC: ENSO Deep Learning Forecast Model With a Global Spatial‐Temporal Teleconnection Coupler-Reference-Cited by-同舟云学术

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ENSO‐GTC: ENSO Deep Learning Forecast Model With a Global Spatial‐Temporal Teleconnection Coupler

Published:2022-12 Issue:12 Volume:14 Page:
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J Adv Model Earth Syst

Author:

Mu Bin¹,Qin Bo¹^ORCID,Yuan Shijin¹

Affiliation:

1. School of Software Engineering Tongji University Shanghai China

Funder

National Key Research and Development Program of China

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022MS003132

Reference75 articles.

1. The Pacific Meridional Mode and ENSO: a Review

2. ENSO Transition Asymmetry: Internal and External Causes and Intermodel Diversity

3. El Niño-Southern Oscillation forecasting using complex networks analysis of LSTM neural networks

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1. Indian Ocean Dipole (IOD) forecasts based on convolutional neural network with sea level pressure precursor;Environmental Research Letters;2024-09-09

2. Incorporating heat budget dynamics in a Transformer-based deep learning model for skillful ENSO prediction;npj Climate and Atmospheric Science;2024-09-06

3. The role of sea surface salinity in ENSO forecasting in the 21st century;npj Climate and Atmospheric Science;2024-09-05

4. Extreme Meteorological Drought Events over China (1951–2022): Migration Patterns, Diversity of Temperature Extremes, and Decadal Variations;Advances in Atmospheric Sciences;2024-09-05

5. ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks;Advances in Atmospheric Sciences;2024-06-22

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