Archive > Volume 49 Issue 5 > 2021,49(5):754-761 Prev Next

Circulation Characteristics and Forecasting Indicators of High Wind in a Port of South China Sea: Taking Yangpu Port as an Example

  • Article
  • Figures
  • Metrics
  • Preview PDF
  • Reference
  • Related
  • Cited by
  • Materials
    Abstract:
    Taking Yangpu Port of Hainan as an example, using wind data from 2015 to 2019, the circulation characteristics, inducing mechanism and forecasting indicators of different kinds of High Wind Processes (HWPs) are investigated in this paper. Results suggest that: (1) HWPs of Yangpu Port can be divided into four types, namely coldair type, shearline type, tropicalcyclone (TC) type and thermallow type, according to their influencing systems. (2) The coldair HWP is mainly due to the advection of cold air. When the decreasing of the temperature in the critical area at 925 hPa is greater than 6 ℃ and the magnitude of north wind is greater than 11.5 m/s, it indicates that the coldair HWP will occur in 6 hours; the shearlinear HWP is mainly caused by thunderstorm gales and squall lines induced by severe convection; when favorable configuration appears in synopticscale systems such as 925 hPa low shearline and 500 hPa south trough, CAPE≥1500 J·kg-1 with appropriate CIN value, the shearlinear HWP is prone to occur; the thermallow HWP is closely related to the sea breeze front caused by the difference of sealand heat; when the difference of the increasing temperature between northwest inland and offshore sea surface in 6 hours is greater than or equal to 3.5 ℃, CAPE≥1500 J·kg-1, CIN≤20 J·kg-1, the sea breeze front is prone to trigger severe convection such as thunderstorms and gales; the TC HWP mainly occurs in the isobaric dense belt near the TC center and the mesoscale convective systems in the peripheral spiral rain belt. The wind scale can be determined synthetically based on the numerical forecast and combined with the statistical law, satellite, radar, and other monitoring data in the operational forecast.

    Keywords:


    Project Supported:
    Clc Number:
External LinksChina Meteorological AdministrationCMA Meteorological Observation CentreChinese Academy of Meteorological SciencesBeijing Meteorological ServiceNational Satellite Meteorological Center
You are thevisitors
Supported by:Beijing E-Tiller Technology Development Co., Ltd.