Arid
DOI10.1175/JHM-D-20-0256.1
Uncertainty in SPI Calculation and Its Impact on Drought Assessment in Different Climate Regions over China
Wang, Wen; Wang, Jingshu; Romanowicz, Renata
通讯作者Wang, W (corresponding author), Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing, Peoples R China.
来源期刊JOURNAL OF HYDROMETEOROLOGY
ISSN1525-755X
EISSN1525-7541
出版年2021
卷号22期号:6页码:1369-1383
英文摘要Significance Statement The standardized precipitation index (SPI) is the most commonly used drought index over the world for drought assessment, but there are several issues not well recognized in its application, such as the uncertainty resulting from the choice of time scales, the record length, and the reference period for its calculation. A comprehensive evaluation of these issues will be helpful for better interpreting SPI values for drought assessments, especially in the context of climate change. Uncertainty in the calculation of a standardized precipitation index (SPI) attracted growing concerns in the hydrometeorology research community in the last decade. This issue is addressed in the present study from the perspective of candidate probability distributions, the data record length, the cumulative time scale, and the selection of a reference period with the bootstrap and Monte Carlo methods using daily precipitation data observed in four climate regions across China. The impacts of the uncertainty in an SPI calculation on drought assessment are also investigated. Results show that the gamma distribution is optimal in describing the cumulative precipitation in China; among the four time scales investigated in the present study (i.e., 10, 20, 30, and 90 days), the minimal time scale appropriate for SPI calculation is 20 days for the humid region, 30 days for the semihumid/semiarid region and Tibetan Plateau (mostly its eastern part), and 90 days for the arid region. The uncertainty in SPI calculation decreases with the increase of time scale and record length, essentially as a consequence of the decrease of the confidence interval width of gamma distribution parameters with the increase of time scale and record length. But there is little improvement for the parameter estimation with record length longer than 70 years. There is greater uncertainty for high absolute SPI values than for small ones; consequently, there is greater uncertainty in assessing extreme droughts than moderate droughts. Reference period selection has large impacts on drought assessment, especially in the context of climate change. The uncertainty of the SPI calculation has large impacts on categorizing droughts, but no impact on assessing the temporal features of drought variation.
英文关键词Drought Indices Uncertainty Probability forecasts models distribution Climate change
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000663568900002
WOS关键词STANDARDIZED PRECIPITATION INDEX ; DISTRIBUTIONS ; SENSITIVITY ; PROJECTIONS ; FREQUENCY ; SEVERITY ; TESTS ; DRY
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
来源机构河海大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/350922
作者单位[Wang, Wen; Wang, Jingshu] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing, Peoples R China; [Romanowicz, Renata] Polish Acad Sci, Inst Geophys, Warsaw, Poland
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Wang, Wen,Wang, Jingshu,Romanowicz, Renata. Uncertainty in SPI Calculation and Its Impact on Drought Assessment in Different Climate Regions over China[J]. 河海大学,2021,22(6):1369-1383.
APA Wang, Wen,Wang, Jingshu,&Romanowicz, Renata.(2021).Uncertainty in SPI Calculation and Its Impact on Drought Assessment in Different Climate Regions over China.JOURNAL OF HYDROMETEOROLOGY,22(6),1369-1383.
MLA Wang, Wen,et al."Uncertainty in SPI Calculation and Its Impact on Drought Assessment in Different Climate Regions over China".JOURNAL OF HYDROMETEOROLOGY 22.6(2021):1369-1383.
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