Arid
DOI10.1016/j.scitotenv.2018.05.243
Bias correction of precipitation data and its effects on aridity and drought assessment in China over 1961-2015
Yao, Ning1,2; Li, Yi1,2; Li, Na1,2; Yang, Daqing3; Ayantobo, Olusola Olaitan1
通讯作者Li, Yi
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
EISSN1879-1026
出版年2018
卷号639页码:1015-1027
英文摘要

The accuracy of gauge-measured precipitation (P-m) affects drought assessment since drought severity changes clue to precipitation bias correction. This research investigates how drought severity changes as the result of bias-corrected precipitation (P-c) using the Erinc’s index I-m and standardized precipitation evapotranspiration index (SPED. Daily and monthly P-c values at 552 sites in China were determined using daily P-m and wind speed and air temperature data over 1961-2015. P-c-based I-m values were generally larger than P-m-based I-m for most sub-regions in China. The increased P-c and P-c-based I-m values indicated wetter climate conditions than previously reported for China. After precipitation bias-correction, Climate types changed, e.g., 20 sites from severe and to arid, and 11 sites from arid to semi-arid. However, the changes in SPEI were not that obvious due to precipitation bias correction because the standardized index SPEI removed the effects of mean precipitation values. In conclusion, precipitation bias in different sub-regions of China changed the spatial and temporal characteristics of drought assessment. (C) 2018 Elsevier B.V. All rights reserved.


英文关键词Droughts Precipitation Bias-conection Climate types Decadal change
类型Article
语种英语
国家Peoples R China ; Canada
收录类别SCI-E
WOS记录号WOS:000436806200101
WOS关键词EVAPOTRANSPIRATION INDEX ; SPATIOTEMPORAL VARIABILITY ; SPATIAL VARIABILITY ; MAINLAND CHINA ; CLIMATE ; TRENDS ; SEVERITY ; XINJIANG ; INTENSITY ; FREQUENCY
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构西北农林科技大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/212979
作者单位1.Northwest Agr & Forestry Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China;
2.Northwest Agr & Forestry Univ, Inst Water Saving Agr Arid Areas China, Yangling 712100, Shaanxi, Peoples R China;
3.Environm & Climate Change Canada, Saskatoon, SK S7N 3H5, Canada
推荐引用方式
GB/T 7714
Yao, Ning,Li, Yi,Li, Na,et al. Bias correction of precipitation data and its effects on aridity and drought assessment in China over 1961-2015[J]. 西北农林科技大学,2018,639:1015-1027.
APA Yao, Ning,Li, Yi,Li, Na,Yang, Daqing,&Ayantobo, Olusola Olaitan.(2018).Bias correction of precipitation data and its effects on aridity and drought assessment in China over 1961-2015.SCIENCE OF THE TOTAL ENVIRONMENT,639,1015-1027.
MLA Yao, Ning,et al."Bias correction of precipitation data and its effects on aridity and drought assessment in China over 1961-2015".SCIENCE OF THE TOTAL ENVIRONMENT 639(2018):1015-1027.
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