| 摘要: |
| 对近5a（2015-2019年）发生在黔西南的滇黔准静止锋个例进行统计整理，分析滇黔准静止锋不同类型下在黔西南出现的规律及其附近要素分布特征，结合黔西南州8个站点气温实况数据和EC-2T预报，采用偏差订正法，建立订正方程。结果表明：近5a中，2019年春季出现静止锋天数最多，2016年春季出现静止锋天数最少，以3月出现次数为最多；黔西南州位于锋后冷气团内的天数最多（Ⅰ型），位于锋前的暖气团中（ Ⅱ型）最少;弱静止锋出现天数最多，强静止锋出现天数最少，以3月出现强静止锋天数为最多；在滇黔准静止锋附近，各气象要素分布呈现不同的特征，即最高和最低气温空间基本呈现“东南高北低”的分布特征，雨日空间基本呈现“西高东南低”的分布特征；建立订正方程订正后，黔西南州春季静止锋最高气温在各月预报准确率均有所提高。 |
| 关键词: EC-2T；滇黔准静止锋；温度检验；黔西南 |
| DOI： |
| 投稿时间：2021-04-21修订日期：2021-07-26 |
| 基金项目:贵州省黔西南布依族苗族自治州科技局项目（2019-1-06）:云贵准静止锋对黔西南冬春气温的影响；贵州省气象局科研业务项目（[2020]02-02）: 基于EC-2T的春季静止锋气温预报指标研究。 |
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| Study on TemperatureForecast of Spring Stationary Front in Southwest Guizhou Based on EC-2T |
| Fan Qian,Li Gang,Wang Fen,Liu Xiang,Chen XiaoYang,Liu Jia |
| (Meteorological Bureau of Qianxinan Prefecture;Meteorological Bureau of Bijie Prefecture) |
| Abstract: |
| The Yunnan Guizhou quasi stationary front occurred in Southwest Guizhou in recent five years (2015-2019) was used for statistical analysis，This paper analyzes the regularity of quasi stationary front appearing in Southwest Guizhou under different types of Yunnan Guizhou quasi stationary front and the distribution characteristics of elements nearby，Combined with the actual temperature data of 8 stations in Southwest Guizhou and ec-2t forecast，Using the deviation correction method, the correction equation is established. The results show that: In the five years, the number of stationary front days is the most in the spring of 2019, The number of days of stationary front was the least in the spring of 2016, Most of them appeared in March: Qianxinan prefecture has the most days in the cold air mass behind the front (type I), Among the warm air masses in front of the front (type II), The days of weak static front are the most,The days of strong static front are the least The days of strong static front in March were the most; Near the quasi stationary front of Yunnan Guizhou, The distribution of meteorological elements presents different characteristics, That is, the distribution characteristics of the highest and lowest temperature space are basically "high in the southeast and low in the north", The spatial distribution of rainy days is "high in the West and low in the Southeast"; After the correction equation is established, in southwestern Guizhou has been improved in each month. |
| Key words: EC-2T；Yunnan Guizhou quasi static front; temperature inspection; Southwest Guizhou |
