Key scale factors determining convection initiation and forecast skill on the rear side of the Northeast China Cold Vortex
Abstract The Northeast China Cold Vortex (NCCV) is the primary synoptic system causing severe weather in North China; however, forecasting first convection initiation (first‐CI) at its rear side remains highly challenging. This study investigates the underlying CI triggering mechanisms and the causes of low forecast skill in this regime. Using 2016–2021 mosaic reflectivity from seven operational Doppler radars and a modified convective tracking algorithm, we map first‐CI distributions and evaluate Numerical Weather Prediction model (NWP) simulations to pinpoint low‐forecasting‐skill regions. A representative case (8 June 2019) is then diagnosed using a high‐resolution rapid‐update (3‐km, 12‐minute) analysis assimilating radar and dense‐surface‐network observations. Results from the representative case show that CI is driven by complex interactions among a cold, dry northerly flow, a warm, moist southerly flow, and a modified sea breeze. Near 850 hPa, the converging northerly and southerly flows generate localized weak convergence and high humidity. Simultaneously, the topographically deflected, inland‐propagating sea breeze forces intense near‐surface convergence with the prevailing southerly flow. This combined dynamic forcing establishes a deep updraft channel that successfully initiates convection. Diagnostics reveal that NWP forecast failures primarily stem from inaccuracies in simulating nocturnal boundary‐layer wind fields. Although the model similarly captures synoptic‐scale forcing and the moisture environment, it produces an anomalously strong low‐layer northerly flow. This overestimation blocks the inland penetration of the sea breeze, thereby eliminating the critical near‐surface convergence zone. Absent this essential dynamic trigger, accumulated convective instability cannot be released, resulting in missed CI forecasts.
Authors
- Mingxuan Chen (ORCID: https://orcid.org/0000-0002-3725-3197)
- Xian Xiao (ORCID: https://orcid.org/0000-0001-9952-6464)
- Juanzhen Sun (ORCID: https://orcid.org/0000-0001-6048-6362)
- Deqin Li (ORCID: https://orcid.org/0000-0002-1058-2265)
- Xinyan Cui (ORCID: https://orcid.org/0000-0001-7637-957X)
- Changyi Xu (ORCID: https://orcid.org/0000-0002-7015-5521)
- Lina Zhang (ORCID: https://orcid.org/0000-0002-8093-0579)
- Xuxuan Jia (ORCID: https://orcid.org/0000-0002-3650-0643)
Institutions
- NSF National Center for Atmospheric Research (US)
- China Meteorological Administration (CN)
- Chinese Academy of Sciences (CN)
- Chinese Academy of Meteorological Sciences (CN)
- Beijing Meteorological Bureau (CN)
- Tianjin Meteorological Bureau (CN)
- State Key Laboratory of Severe Weather
- Institute of Atmospheric Environment, China Meteorological Administration (CN)
- Institute of Urban Meteorology (CN)
Publication Details
- Journal
- Quarterly Journal of the Royal Meteorological Society
- Published
- 2026-10-15
- DOI
- https://doi.org/10.1002/qj.70329
- Primary Topic
- Meteorological Phenomena and Simulations
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China