Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
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ISSN | 0048-9697 |
EISSN | 1879-1026 |
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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