Arid
DOI10.3354/cr01527
Precipitation measurement biases in an arid setting of central Asia: using different methods to divide precipitation types
Du, Mingxia1; Zhang, Mingjun1; Wang, Shengjie1,2,3; Che, Yanjun1; Wang, Jie1; Ma, Rong1; Yang, Sen1
通讯作者Zhang, Mingjun
来源期刊CLIMATE RESEARCH
ISSN0936-577X
EISSN1616-1572
出版年2018
卷号76期号:1页码:73-86
英文摘要

Accurate precipitation data play important roles in climate and hydrology research at regional and global scales. The correction of system errors associated with precipitation represents a feasible and effective way to improve the accuracy of rainfall data. We analysed and corrected rainfall data collected at 45 meteorological sites in Xinjiang over 55 years (from 1 January 1960 to 31 December 2014) in terms of the wetting loss, trace precipitation and wind-induced loss, with 2 judgement methods of precipitation types. We based our analysis on daily temperature, wind speed, precipitation, relative humidity and air pressure data. Precipitation after correction was compared to precipitation before correction. The primary conclusions are: (1) Based on the new method of distinguishing precipitation types, the results show more snow days, fewer mixed precipitation days and slightly fewer rain days than the traditional method. (2) The sum values of corrections for each loss based on the new method of distinguishing precipitation types are higher than those based on the traditional method in spring and autumn. The sum values of corrections and differences of each loss are all larger in North Xinjiang and smaller in South Xinjiang. The sum values of total corrections are larger on the north slope of the Tianshan Mountains and smaller on the south slope, and they decrease from the south slope to South Xinjiang. (3) The median values of the sum of each loss and total correction in the northern region of Xinjiang are higher than those in the central region of Xinjiang, which are higher than those in the southern region of Xinjiang on the whole. (4) Precipitation increases after correction. The annual mean corrected values at Bayanbulak (in the Tianshan Mountains), Altay (in North Xinjiang) and Yutian (in South Xinjiang) are 81.48, 54.60 and 12.55 mm, respectively.


英文关键词Precipitation observation Bias correction Precipitation type Xinjiang
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000446365400005
WOS关键词SNOW COVER ; MODEL ; GAUGE ; CLIMATOLOGY ; UNDERCATCH ; ACCURACY ; CHINA
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/208437
作者单位1.Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China;
2.China Meteorol Adm, Inst Desert Meteorol, Urumqi 830002, Peoples R China;
3.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式
GB/T 7714
Du, Mingxia,Zhang, Mingjun,Wang, Shengjie,et al. Precipitation measurement biases in an arid setting of central Asia: using different methods to divide precipitation types[J],2018,76(1):73-86.
APA Du, Mingxia.,Zhang, Mingjun.,Wang, Shengjie.,Che, Yanjun.,Wang, Jie.,...&Yang, Sen.(2018).Precipitation measurement biases in an arid setting of central Asia: using different methods to divide precipitation types.CLIMATE RESEARCH,76(1),73-86.
MLA Du, Mingxia,et al."Precipitation measurement biases in an arid setting of central Asia: using different methods to divide precipitation types".CLIMATE RESEARCH 76.1(2018):73-86.
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