Quantifying the Effect of Climate Change on Midlatitude Subseasonal Prediction Skill Provided by the Tropics-Reference-Cited by-同舟云学术

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Quantifying the Effect of Climate Change on Midlatitude Subseasonal Prediction Skill Provided by the Tropics

Published:2022-07-15 Issue:14 Volume:49 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophysical Research Letters

Author:

Mayer Kirsten J.¹^ORCID,Barnes Elizabeth A.¹^ORCID

Affiliation:

1. Department of Atmospheric Science Colorado State University Fort Collins CO USA

Funder

National Science Foundation

U.S. Department of Energy

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022GL098663

Reference78 articles.

1. MJO Propagation Across the Maritime Continent: Are CMIP6 Models Better Than CMIP5 Models?

2. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

3. Advancing atmospheric river forecasts into subseasonal-to-seasonal time scales

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1. Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods;Earth and Space Science;2024-07

2. Exploring the Relative Importance of the MJO and ENSO to North Pacific Subseasonal Predictability;Geophysical Research Letters;2024-05-25

3. Adapting subseasonal-to-seasonal (S2S) precipitation forecast at watersheds for hydrologic ensemble streamflow forecasting with a machine learning-based post-processing approach;Journal of Hydrology;2024-03

4. Strengthening gradients in the tropical west Pacific connect to European summer temperatures on sub-seasonal timescales;Weather and Climate Dynamics;2023-10-27

5. Assessing decadal variability of subseasonal forecasts of opportunity using explainable AI;Environmental Research: Climate;2023-09-14

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