| 2009年石家庄暴雪过程降雪雷达估测 |
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| 引用本文： | 匡顺四,王丽荣,张秉祥,孙云,刘金平.2009年石家庄暴雪过程降雪雷达估测[J].气象科技,2011,39(3):326-331. |
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| 作者姓名： | 匡顺四 王丽荣 张秉祥 孙云 刘金平 |
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| 作者单位： | 1. 兰州大学大气科学学院,兰州730000;石家庄市气象局,石家庄050081
2. 石家庄市气象局,石家庄,050081 |
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| 基金项目： | 中国气象局气象新技术推广项目（CMATG2010Y02）资助 |
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| 摘 要： | 介绍了天气形势和采用多普勒雷达资料进行降雪估测的原理,利用雷达与降雪加密观测资料,对2009年11月10—12日石家庄地区暴雪过程采用卡尔曼滤波法进行降雪估测。研究表明：①卡尔曼滤波降雪估测法对石家庄地区的降雪估测效果较好,尤其是对较强降雪（大于等于2 mm/h）的估测。②采用卡尔曼滤波估测法对石家庄地区进行降雪估测,要根据不同的地理特征和雷达反射率因子、回波顶高等特征采用不同的仰角进行降雪估测,与雷达降水估测的仰角选取有一定的差别。因此,充分利用雷达产品与降雪加密观测资料能够估测降雪分布,可以为决策服务提供一定的科学依据。
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| 关 键 词： | 多普勒雷达 卡尔曼滤波法 降雪估测 |
| 收稿时间： | 2010/1/20 0:00:00 |
| 修稿时间： | 2010/3/25 0:00:00 |
Snowfall Estimation of a Heavy Snow in Shijiazhuang in 2009 |
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| Kuang Shunsi,Wang Lirong,Zhang Bingxiang,SunYun and Liu Jinping.Snowfall Estimation of a Heavy Snow in Shijiazhuang in 2009[J].Meteorological Science and Technology,2011,39(3):326-331. |
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| Authors: | Kuang Shunsi Wang Lirong Zhang Bingxiang SunYun and Liu Jinping |
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| Institution: | 1 College of Atmospheric Science, Lanzhou University, Lanzhou 730000; 2 Shijiazhuang Meteorological Bureau, Shijiazhuang 050081;Shijiazhuang Meteorological Bureau, Shijiazhuang 050081;Shijiazhuang Meteorological Bureau, Shijiazhuang 050081;Shijiazhuang Meteorological Bureau, Shijiazhuang 050081;Shijiazhuang Meteorological Bureau, Shijiazhuang 050081 |
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| Abstract: | The weather situation and the principles of snowfall estimation by using of Doppler radar data are introduced. The snowfall of a snowstorm weather process occurred in Shijiazhuang city from 10 to 12 November 2009 is computed based on the products of Doppler radar and the intensive snowfall observation by means of the Kalman filter method. The results indicate: (1) To use the Kalman filter method to estimate snowfall in this case is applicable, and the results are satisfactory, especially for the heavy snow of over 2 mm per hour. (2) The selection of elevations in estimating snowfall using the Kalman filter is based on the geographical features, the products of the radar reflectivity factor and echo tops, which is different from rainfall estimation. Both products of Doppler radar data and intensive snowfall observation data are useful in estimating the distribution of snowfall. |
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| Keywords: | Doppler radar Kalman filtering snowfall estimation |
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