首页 | 本学科首页   官方微博 | 高级检索  
     

基于MSWEP的祁连山地区降水空间分布特性解析
引用本文:黄琦,覃光华,王瑞敏,向俊燕,胡庆芳,李伶杰.基于MSWEP的祁连山地区降水空间分布特性解析[J].水利学报,2020,51(2):232-244.
作者姓名:黄琦  覃光华  王瑞敏  向俊燕  胡庆芳  李伶杰
作者单位:四川大学水利水电学院,四川成都610065;四川大学水利水电学院,四川成都610065;四川大学水力学与山区河流开发保护国家重点实验室,四川成都610065;南京水利科学研究院水文水资源与水利工程科学国家重点实验室,江苏南京210029
基金项目:国家重点研发计划项目(2016YFC0400902);国家自然科学基金项目(51879172)
摘    要:综合评价了全球性降水数据MSWEP(Multi-Source Weighted-Ensemble Precipitation)在祁连山区的适用性,解析了其在不同时空尺度上的误差特征,采用结合地面雨量资料GSOD(Global Surface Summary of the Day)订正后的MSWEP(Corrected MSWEP, COMSWEP),重点探讨了祁连山地区降水的垂直分布特性。结果表明:(1)MSWEP在日、月、年等尺度上总体低估了研究区域地表降水,对暴雨及以上日降水事件存在比较严重的漏报,在雨季的精度要明显高于旱季;(2)相对于MSWEP,COMSWEP在各种时间尺度上与地表降水更为吻合,对雨季降水和年降水具有较好估计效果,但在旱季仍存在较明显系统偏差;(3)MSWEP和COMSWEP均表明祁连山区多年平均降水量在空间上呈由东至西递减、北坡略高于南坡的总体格局,而在时程上雨季降水主导了全年降水,但在不同分区和时间尺度上,COMSWEP降水量均明显高于MSWEP;(4)MSWEP和COMSWEP均反映祁连山地区东段最大降水高度带在3000 m左右,超过此高度带多年平均降水量变化甚小,而中段和西段多年平均降水量随海拔呈现先增加后降低的趋势,最大降水高度带分别位于4100 m和4500 m左右。

关 键 词:降水  MSWEP  GSOD  祁连山区  空间分布  订正
收稿时间:2019/12/13 0:00:00

Analysis of spatial distribution characteristics of precipitation in Qilian Mountains Based on MSWEP
HUANG Qi,QIN Guanghu,WANG Ruimin,XIANG Junyan,HU Qingfang and LI Lingjie.Analysis of spatial distribution characteristics of precipitation in Qilian Mountains Based on MSWEP[J].Journal of Hydraulic Engineering,2020,51(2):232-244.
Authors:HUANG Qi  QIN Guanghu  WANG Ruimin  XIANG Junyan  HU Qingfang and LI Lingjie
Affiliation:College of Water Resource&Hydropower, Sichuan University, Chengdu 610065, China,College of Water Resource&Hydropower, Sichuan University, Chengdu 610065, China;State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China,College of Water Resource&Hydropower, Sichuan University, Chengdu 610065, China,College of Water Resource&Hydropower, Sichuan University, Chengdu 610065, China,State Key Laboratory of Hydrology, Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China and State Key Laboratory of Hydrology, Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China
Abstract:The accuracy and performance of MSWEP (Multi-Source Weighted-Ensemble Precipitation) data in the Qilian Mountains is evaluated comprehensively at first in this paper. Then the error characteristics on different spatial and temporal scales are analyzed. Finally, the vertical distribution of precipitation in Qilian Mountains is mainly discussed by COMSWEP (Corrected MSWEP) based on precipitation in Global Surface Summary of the Day(GSOD). The results show that:(1) The precipitations in the study area on daily,monthly,and annual scales are generally underestimated by MSWEP,and there is a serious missed detection of rainstorm events on daily scale,while the accuracy in the rainy season is significantly higher than it in the dry season. (2) COMSWEP performs better than MSWEP does on different time scales,and estimated precipitation pretty well on wet season and on annual scale. But the systematic deviation is still significant in the dry season. (3) Both MSWEP and COMSWEP indicate that overall pattern of multi-year average precipitation in the Qilian Mountains shows a decreasing trend from east to west,while it is slightly higher in the northern slope than it in the southern slope. What''s more,precipitation in the wet season dominates the annual precipitation,and COMSWEP is significantly higher than MSWEP in different subareas and time scales. (4) Both MSWEP and COMSWEP show that maximum precipitation height in the eastern Qilian Mountains is around the elevation of 3000m,and the maximum multi-year precipitation has little change when the altitude exceeds 3000m. The multi-year average precipitation in the central and western Qilian Mountains both show a trend of increasing first and decreasing next when the altitude increases. The maximum precipitation height in central and western Qilian Mountains is located at the elevation of 4100m and 4500m,respectively.
Keywords:precipitation  MSWEP  GSOD  Qilian Mountain  spatial distribution  correction
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《水利学报》浏览原始摘要信息
点击此处可从《水利学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号