Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2014, Vol. 30 ›› Issue (34): 160-164.doi: 10.11924/j.issn.1000-6850.2014-1293

Special Issue: 农业气象

Previous Articles     Next Articles

Preliminary Study on the Classification of Synoptical Meteorology and Prediction Index of
Gale Weather off the Coast of Liaoning

Liang Han1, Huang Ge1, Sheng Yong2, Wu Manli1, Zhang Ningna1   

  1. (1Shenyang Center Meteorological Observatory, Shenyang 110016; 2Liaoning Province Meteorological Bureau, Shenyang 110015)
  • Received:2014-05-05 Revised:2014-05-05 Accepted:2014-08-06 Online:2015-03-10 Published:2015-03-10

Abstract: Wind is a kind of severe weather,easily causes operational difficulties to maritime shipping and offshore fishing production, and damages aquaculture facilities. By analysis of temporal and spatial distribution characteristics of the coastal winds, summarizing the prediction index concept and building a forecast model, is helpful to further understand the characteristics of the climate in the coastal winds and its development mechanism, so as to improve prediction accuracy. Based on wind direction data during 1971 to 2010 of the 17 coastal conventional stations in Liaoning Province,the author analyzed the daily maximum wind speed and summarized the?spatial and temporal distribution. The results showed that: (1) the most windy days appeared on the southern Liaodong Peninsula, Lvshun, 925 days in the past 40 a, 23.1 days per year on average; (2) the north winds appeared significantly more than south winds on the western and southern and eastern of Liaodong Peninsula, windy weather along the northern part of the Bohai coast dominated by southwest winds; (3)Liaoning coastal winds mainly appeared in the spring, mostly appear in April; followed by winter, least in summer and autumn; (4) the dominant wind directions were N and S, W and E appeared less; (5) the dominant wind directions during October to February was N, the dominant wind directions during April to March was S. Based on the NCEP reanalysis data, 26 gale case patterns were classified into high-low type, high pressure, low pressure, and concept prediction models, and key forecasting areas were identified and prediction index was established.