Diagnosing Two‐Way Coupling in Decadal North Atlantic SST Variability Using Time‐Evolving Self‐Organizing Maps-Reference-Cited by-同舟云学术

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Diagnosing Two‐Way Coupling in Decadal North Atlantic SST Variability Using Time‐Evolving Self‐Organizing Maps

Published:2022-04-13 Issue:8 Volume:49 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophysical Research Letters

Author:

Gu Qinxue¹^ORCID,Gervais Melissa¹²³^ORCID

Affiliation:

1. Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA

2. The Institute for Computational and Data Sciences The Pennsylvania State University University Park PA USA

3. Lamont‐Doherty Earth Observatory Columbia University New York NY USA

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021GL096560

Reference77 articles.

1. Winter-to-winter recurrence of sea surface temperature, salinity and mixed layer depth anomalies

2. Hierarchical clustering of self-organizing maps for cloud classification

3. Decadal predictability of North Atlantic blocking and the NAO

4. Dynamical Feedbacks and the Persistence of the NAO

5. Historical forcings as main drivers of the Atlantic multidecadal variability in the CESM large ensemble

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1. Wide range of possible trajectories of North Atlantic climate in a warming world;Nature Communications;2024-05-17

2. Exploring the influence of climate oscillations on groundwater: Review of observational studies;Tecnología y ciencias del agua;2024-05-03

3. Diagnosing Flavors of Tropospheric Rossby Wave Breaking and Their Associated Dynamical and Sensible Weather Features;Monthly Weather Review;2024-02

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

5. Physical Insights From the Multidecadal Prediction of North Atlantic Sea Surface Temperature Variability Using Explainable Neural Networks;Geophysical Research Letters;2023-12-19

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