Weather and Climate Dynamics
Weather and Climate Dynamics
WCD
Articles | Volume 7, issue 2
Articles | Volume 7, issue 2
https://doi.org/10.5194/wcd-7-681-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-7-681-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 2
Research article
 | 
23 Apr 2026
Research article |  | 23 Apr 2026

Persistent SST anomaly vs. dynamical ocean model in winter weather forecasts: Global Ensemble Prediction System versions 5 and 6 over the North Pacific and North Atlantic

Tien-Yiao Hsu, Matthew R. Mazloff, Sarah T. Gille, Hai Lin, K. Andrew Peterson, Rui Sun, Aneesh C. Subramanian, and Luca Delle Monache

Viewed

Total article views: 2,836 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,318 406 112 2,836 172 112 138
  • HTML: 2,318
  • PDF: 406
  • XML: 112
  • Total: 2,836
  • Supplement: 172
  • BibTeX: 112
  • EndNote: 138
Views and downloads (calculated since 10 Sep 2025)
Cumulative views and downloads (calculated since 10 Sep 2025)

Viewed (geographical distribution)

Total article views: 2,836 (including HTML, PDF, and XML) Thereof 2,836 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 May 2026
Download
Short summary
We examine the impact of replacing persistent sea surface temperature with a dynamical ocean model on 15 d weather forecasts over the North Pacific and Atlantic during wintertime. With the usage of an uncoupled atmospheric model, a coupled atmosphere-ocean model, and ERA5 for validation, we find that latent heat flux bias variance is reduced by 10 %–20 % in the Pacific. This improves forecasts of integrated vapor transport, enhancing the prediction of weather extremes in mid- to high latitudes.
Read more
Share