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高     原      气     象                                 41 卷
              1290
             杨大生,王普才,2012. 中国地区夏季 6~8 月云水含量的垂直分布                杨霞,周鸿奎,赵克明,等,2020. 1991-2018 年新疆夏季小时极端
                 特 征[J]. 大 气 科 学 ,36(1):89-101. DOI:10. 3878/j. issn.  强降水特征[J]. 高原气象,39(4):762-773. DOI:10. 7522/j.
                 1006-9895. 2012. 01. 08.                          issn. 1000-0534. 2019. 00114.
             杨露华,叶其欣,邬锐,等,2006. 基于 GPS/Pwv 资料的上海地区              赵伯林,尹宏,李慧心,等,1981. 微波遥感大气层结的原理和实验
                 2004 年一次夏末暴雨的水汽输送分析[J]. 气象科学,26(5):              [J]. 中国科学(地球科学),39(2):217-225.
                 502-508. DOI:10. 3969/j. issn. 1009-0827. 2006. 05. 005.  曾光平,方世珍,林芬,1993. 福建省夏旱期间空中水资源及人工
             杨莲梅,王世杰,史玉光,等,2012. 乌鲁木齐夏季强降水过程                       降 雨 条 件[J]. 气 象 ,19(11):25-30. DOI:10. 7519/j. issn.
                 GPS-PWV的演变特征[J]. 高原气象,31(5):1348-1355.            1000-0526. 1993. 11. 006.




                        Charateristics of Precipitable Water Vapor in Arid Areas of the
                                   Hexi Corridor based on GPS Measurements



                                                                                  2
                                                                                            1
                                1,2
                                                 1
                    CHENG Peng ,WANG Yanfeng ,LUO Han ,LI Baozi ,GAN Zewen ,CHEN Qi ,BAI Ming          3
                                                                     1
                                                           1
                                     (1. Gansu Weather Modification Office,Lanzhou 7 30020,Gansu,China;
                                 2. Lanzhou Meterological Bureau of Gansu Province,Lanzhou 730000,Gansu,China;
                                 3. Zhangye Meterological Bureau of Gansu Province,Zhangye 734000,Gansu,China)
             Abstract:There are obvious differences in spatial and temporal distribution characteristics of atmospheric water
             vapor and its relationship with precipitation under different topography and climate background conditions. Hexi
             Corridor located in inland arid region of Northwest China,so it is necessary to understand deeply and meticulous‐
             ly the changes of atmospheric precipitable water vapor. In this paper,based on precipitable water vapor data de‐
             rived from ground-based GPS measurements(hereinafter referred to as GPS/PWV),radiosonde data and ground
             conventional observation data at Zhangye National Climate Observatory from October 2016 to May 2019,the us‐
             ability of GPS/PWV data was discussed firstly,then the temporal variation characteristics of PWV and its rela‐
             tionship with precipitation and surface water vapor pressure in arid area of the Hexi Corridor were analyzed. The
             results are as follows:(1)The GPS/PWV were higher consistent with calculated PWV by using radiosonde data.
             The root mean square error and average deviation were 2. 01 mm and 1. 16 mm respectively,and their correla‐
             tion coefficient reached 0. 97 and above. Therefore,GPS/PWV data had higher accuracy and availability.(2)
             The monthly distribution of atmospheric PWV appeared unimodal pattern,which was in good agreement with
             monthly precipitation. PWV was the maximum in August(23. 24 mm)and the minimum in February(2. 55
             mm). Precipitation was not only affected by PWV,but also related to precipitation conversion rate. The monthly
             precipitation peak behind the PWV peak because the precipitation conversion rate in July was higher than that in
             August. The diurnal variation of PWV was opposite to temperature,they had significantly negative correlation.
             The peak value of PWV appeared at 01:00 UTC,while the valley value appeared at 08:00 UTC.(3)The base
             value of PWV was 8. 4 mm in arid area of the Hexi Corridor. When the rainfall occurs,PWV was mostly higher
             than the base value,and PWV increased sharply 7~11 hours before the precipitation,the increment generally ex‐
             ceeds 3. 0 mm. The most rainfall started around the maximum PWV and ended the rapidly decreasing stage of
             PWV,and the maximum precipitation intensity and PWV appeared concurrently,or the maximum precipitation in‐
             tensity was typically 1 hour behind the maximum PWV,which could be used as a reference index for precipitation
             forecast.(4)PWV on rainy days was significantly higher than that on non-rainy days. The analysis also showed
             that PWV had no obvious significance for the indication of snowy weather in arid areas.(5)There was a quadrat‐
             ic polynomial relationship between PWV and surface water vapor pressure in arid area of the Hexi Corridor.
             Key words:Arid area of the Hexi Corridor;precipitable water vapor;ground-based GPS;temporal variation
             characteristics
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