EGU25-1496, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-1496
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 28 Apr, 10:45–12:30 (CEST), Display time Monday, 28 Apr, 08:30–12:30
 
Hall X5, X5.70
 Identification of Shortcomings in Simulating the Subseasonal Reversal of the Warm Arctic–Cold Eurasia Pattern
Tianbao Xu
Tianbao Xu
  • Nanjing university of information science and technology

Subseasonal reversal of warm Arctic–cold Eurasia (SR‐WACE) pattern has significant impacts on transitions of weather and climate extremes in Eurasia. This study explored the performances of climate models to simulate the main features of SR‐WACE. For real‐time predictions, most of the state‐of‐the‐art climate models showed limited ability to accurately forecast SR‐WACE in advance. Furthermore, most of the historical simulations from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) hadalso difficulties in well simulating the SR‐WACE. Further exploration showed that the simultaneous reversal of the Ural blocking high (UB) and Siberian high (SH) is the key atmospheric driver of the SR‐WACE occurrences, which were verified by both of the real‐time predictions and historical simulations. Our results implied that the simulation of SR‐WACE was a huge challenge and the critical solutions included improving simulation of subseasonal reversals of UB and SH in the atmosphere.

How to cite: Xu, T.:  Identification of Shortcomings in Simulating the Subseasonal Reversal of the Warm Arctic–Cold Eurasia Pattern, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-1496, https://doi.org/10.5194/egusphere-egu25-1496, 2025.