Zhou et al. (2025) Influence of Eurasian Spring Snowmelt on May and June Minimum Temperature Variability Over Northeastern China

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: International Journal of Climatology
• Year: 2025
• Date: 2025-09-04
• Authors: Juan Zhou, Xing Li, Jun Wen, Lixia Meng, Yangruixue Chen, Xiao Li, Dongnan Jian, Meng Xiu
• DOI: 10.1002/joc.70087

Research Groups

Not specified in the provided text.

Short Summary

This study examines the impact of Eurasian spring snowmelt (SSD) on intraseasonal extreme minimum temperature ($T_{min}$) variability in northeastern China during May and June, finding that decreased Siberian SSD enhances both warm and cold night extremes.

Objective

• To investigate the influence of Eurasian spring snowmelt (SSD) on the intraseasonal variability of extreme minimum temperatures ($T_{min}$) in northeastern China during May and June (MJ) and to elucidate the underlying physical mechanisms.

Study Configuration

• Spatial Scale: Regional/Continental (Eurasia, specifically Siberia, Europe, and Northeastern China).
• Temporal Scale: 1979–2018; focusing on the May-June (MJ) period.

Methodology and Data

• Models used: Not explicitly mentioned (statistical analysis of percentiles and anomalies).
• Data sources: Not explicitly mentioned (likely reanalysis or observational data for $T_{min}$, snow water equivalent, and sea surface temperatures).

Main Results

• SSD Pattern: Eurasian SSD is characterized by an east–west dipole pattern with reversed anomalies between Siberia and Europe.
• Temperature Variability: Decreased Siberian SSD is linked to increased $T_{min}$ variability in northeastern China during May and June.
• Extreme Events: Deficient Siberian SSD increases the occurrence of both warm nights (TN90P, $>90$th percentile) and cold nights (TN10P, $<10$th percentile), while expanding the range between the minimum ($TNn$) and maximum ($TNx$) $T_{min}$.
• Physical Mechanism: Deficient Siberian SSD leads to excessive evapotranspiration and snow cover in MJ, creating anomalous thermal conditions that modulate downstream atmospheric circulation.
• External Driver: North Atlantic sea surface temperature (SST) influences the atmospheric circulations that facilitate the formation of the SSD distributions.

Contributions

• The research shifts the focus from seasonal mean or annual extreme climate impacts to intraseasonal variability.
• It identifies Eurasian SSD as a critical indicator for predicting $T_{min}$ variability in northeastern China.

Funding

Not specified in the provided text.

Citation

@article{Zhou2025Influence,
  author = {Zhou, Juan and Li, Xing and Wen, Jun and Meng, Lixia and Chen, Yangruixue and Li, Xiao and Jian, Dongnan and Xiu, Meng},
  title = {Influence of Eurasian Spring Snowmelt on May and June Minimum Temperature Variability Over Northeastern China},
  journal = {International Journal of Climatology},
  year = {2025},
  doi = {10.1002/joc.70087},
  url = {https://doi.org/10.1002/joc.70087}
}