| 地基GPS遥感西藏改则站大气可降水量变化特征及其与夏季降水的关系 |
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| 引用本文： | 周顺武,王烁,马思琪,王传辉,丁锋.地基GPS遥感西藏改则站大气可降水量变化特征及其与夏季降水的关系[J].气象科学,2016,36(3):403-410. |
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| 作者姓名： | 周顺武 王烁 马思琪 王传辉 丁锋 |
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| 作者单位： | 南京信息工程大学 气象灾害教育部重点实验室, 南京 210044;南京信息工程大学 气象灾害预报预警与评估协同创新中心, 南京 210044;南京信息工程大学 气候与环境变化国际合作联合实验室, 南京 210044,南京信息工程大学 气象灾害教育部重点实验室, 南京 210044;南京信息工程大学 气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学 气象灾害教育部重点实验室, 南京 210044,安徽省气象局, 合肥 230031,山东省青岛市气象局, 山东 青岛 266003 |
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| 基金项目： | 国家自然科学基金资助项目（41275095），国家重点基础研究发展规划项目（2012CB955204），公益性行业（气象）科研专项（GYHY201406001），中国气象局气象关键技术集成与应用项目（CMAJG2013M28）联合资助 |
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| 摘 要： | 利用中日JICA项目2010-2011年期间的地基GPS探测逐时大气可降水量（PWV）资料，分析了西藏西部改则站PWV的季节变化和日变化特征及其与夏季降水的关系。结果表明：（1）该站PWV存在明显的季节变化特征，其高（低）值出现在6-9（12-3）月，呈现出明显的单峰型变化特征，同时表现出春季持续上升和秋季快速下降的特点。（2）谐波分析表明，改则站各季PWV日变化均以日循环为主，只是夏季也表现出一定的半日循环特征。（3）改则站PWV存在明显的日变化特征，低值一般出现在当地时间的凌晨至次日上午，各季谷值普遍出现在当地时间10：00前后；高值通常出现在当地的午后至午夜，但各季最大值出现时间不固定；（4）改则站降水通常都发生在PWV高值期，降水发生前后PWV有明显的逐渐积累与迅速下降的变化特征，PWV达到峰值的时间提前于降水。PWV对累积降水频次的影响要比累积降水量更显著。
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| 关 键 词： | 降水 大气可降水量 地基GPS 季节变化 日变化 |
| 收稿时间： | 2014/11/3 0:00:00 |
| 修稿时间： | 2014/12/5 0:00:00 |
Variation characteristics of GPS-retrieved atmospheric precipitable water vapor and its relation with summer precipitation at Gaize station |
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| ZHOU Shunwu,WANG Shuo,MA Siqi,WANG Chuanhui and DING Feng.Variation characteristics of GPS-retrieved atmospheric precipitable water vapor and its relation with summer precipitation at Gaize station[J].Scientia Meteorologica Sinica,2016,36(3):403-410. |
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| Authors: | ZHOU Shunwu WANG Shuo MA Siqi WANG Chuanhui and DING Feng |
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| Institution: | Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China;International Coporative Joint Laboratory of Weather and Environment Change, Nanjing University of Information Science & Technology, Nanjing 210044, China,Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China,Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China,Anhui Meteorological Bureau, Hefei 230031, China and Qingdao Meteorological Bureau, Shandong Qingdao 266003, China |
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| Abstract: | By using the ground based GPS hourly Precipitable Water Vapor (PWV) data from the Japan International Cooperation Agency (JICA) project during 2010-2011, the seasonal and diurnal variation features of PWV as well as its relation with summer rainfall at Gaize station located in the west of Tibetan Plateau have been investigated. Results show that (1) the PWV has significant seasonal variation with the maximum(minimum) value in June-September (December-March), which presents obviously unimodal type, as well as the characteristics of continuous rising in spring and quickly decreasing in autumn. (2) The harmonic analysis indicates that the diurnal cycle is the main signal of PWV diurnal variation of each season at Gaize station and the variation in summer also presents characteristics of semidiurnal circle to some extent. (3) The PWV at Gaize station reveals obvious diurnal variation with high value ordinarily appearing between afternoon and midnight of local time and the low value appearing from dawn to the forenoon of the next day. The minimum of each season usually occurs about 10:00, but the time of the maximum in each season is different. (4) Precipitation often occurs when the PWV is high. PWV accumulates gradually and drops rapidly before and after precipitation and its peak time is prior to precipitation. PWV has more effects on the accumulative rainfall frequency than accumulative precipitation. |
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| Keywords: | Precipitation Atmospheric precipitable water vapor Ground-based GPS Seasonal variation Diurnal variation |
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