干旱气象 ›› 2021, Vol. 39 ›› Issue (4): 577-584.

• 论文 • 上一篇    下一篇

基于地基GPS大气可降水量的福建水汽资源时空分布特征分析

潘卫华1,2,余永江1,2,罗艳艳3,张琳琳3,杨志勇4   

  1. 1.福建省灾害天气重点实验室,福建福州350001;2.福建省气象科学研究所,福建福州350001;
    3.福建省莆田市气象局,福建莆田351100;4.福建省厦门市气象台,福建厦门361012)

  • 出版日期:2021-08-31 发布日期:2021-09-13
  • 作者简介:潘卫华(1980— ),男,硕士,高级工程师,主要从事卫星遥感气象应用研究. Email: panwh@tom.com。
  • 基金资助:
    国家重点研发计划项目(2019YFC1510303)、福建省自然科学基金项目(2013J01152)、福建省科技厅重点项目(2014Y0041)、福建省气象局开放式基金(2019KH06)和华东区域气象科技协同创新基金合作项目(QYHZ201811)共同资助

Analysis of Spatio-temporal Distribution Characteristics of Atmospheric Precipitable Resources over Fujian Based on Groundbased GPS Data

PAN Weihua1,2, YU Yongjiang1,2, LUO Yanyan3,ZHANG Linlin3, YANG Zhiyong4   

  1. (1. Fujian Key Laboratory of Severe Weather, Fuzhou 350001, China;
    2. Institute of Meteorological Science of Fujian, Fuzhou 350001, China;
    3. Putian Meteorological Bureau of Fujian Province, Putian 351100, Fujian, China;
    4. Xiamen Meteorological Observatory of Fujian Province, Xiamen 361012, Fujian, China)
  • Online:2021-08-31 Published:2021-09-13

摘要: 利用福建省2010—2019年地基GPS站大气可降水量资料、地面气象观测资料和探空数据及ERAInterim再分析资料,分析福建水汽资源的季节、月、日变化特征,并采用EOF、MannKendall和滑动t检验等方法对近10 a水汽资源的时空分布和变化特征进行分析。结果表明:相较于ERA-Interim再分析资料,福建地基GPS大气可降水量具有较高精度。水汽季节分布以夏季最大,春季次之,秋冬季最低;其月际变化呈倒“U”型分布;晴日和雨日水汽变化差异显著。东部沿海地区水汽含量普遍高于西部山区,但降水转化率低于内陆山区。EOF分析结果显示福建省大气可降水量主要存在2种空间模态,其中第一模态方差贡献率占80.06%,主要表现为空间分布一致型,振荡强度由西北、西南向东部逐渐增强,相应的时间系数表征了大气可降水量显著的季节性变化特征。Mann-Kendall突变检验和滑动t检验的结果表明近10 a福建上空水汽资源未发生突变。

关键词: 地基 GPS, 大气可降水量, 特征, 突变分析

Abstract: Atmospheric precipitable water vapor (PWV) is an important factor affecting rainfall. Based on ground-based GPSretrieved PWV data, ground meteorological observations, sounding data and ERAInterim reanalysis data from 2010 to 2019, the seasonal, monthly and diurnal variation characteristics of water vapor resources over Fujian were analyzed. Moreover, the spatial and temporal characteristics of PWV were assessed by using the empirical orthogonal function (EOF), MannKendall test and the sliding t test. The results show that the accuracy of the groundbased PWV was higher compared with ERAInterim reanalysis data. The water vapor resource over Fujian was largest in summer, followed by spring, autumn and winter. The monthly distribution of PWV presented an inverted Ushaped, and the diurnal variation of PWV changed significantly on sunny day and rainy day. The PWV of the eastern coastal areas was generally higher than that of the western mountainous areas, but the precipitation conversion rate of PWVthere was lower than that of the inland mountainous areas. The first mode of EOF decomposition of PWV presented the main characteristics with a variance contribution rate of 80.06%. The eigenvalues were positive in the whole region, which indicated that the spatial change of PWV had good consistency. The oscillation intensity of PWVstrengthened from northwest and southwest to the east, and the corresponding time curve characterized the significant seasonal changes of PWV. The mutation test of MannKendall and the sliding t test showed that the water vapor resources over Fujian had not undergone abrupt change in the past 10 years.

Key words: ground-based GPS, precipitable water vapor (PWV), characteristics, mutation test

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