GSTDTAP
DOI10.1002/joc.6374
Projection of hydroclimate extreme indices over the Indochina region under climate change using a large single-model ensemble
Hanittinan, Patinya; Tachikawa, Yasuto; Ram-Indra, Teerawat
2019-11-27
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2019
文章类型Article;Early Access
语种英语
国家Japan
英文摘要

Results from the multiple-realization, single-model ensemble called "d4PDF" were used to generate hydroclimate indices for present and future climates over the Indochina region. The model performed reasonably well in capturing the reference precipitation characteristics of the present climate (1951-2010), in particular the seasonal pattern (e.g., JJA and SON) and intensity-based indices such as SDII, R95p, Rx1D, and Rx3D. Under the +4 K future simulation conditions for 2051-2110, comprising six prescribed sea-surface temperature scenarios, substantial and statistically significant increases in precipitation frequency (R10 and R20) and intensity (SDII, Rx1D, and Rx3D) were projected over the Indochinese Peninsula with a high degree of consistency. However, there were greater uncertainties in the changes significance of mean precipitation either during early dry-season (DJF) or late monsoon (SON) indices demonstrated by results of the parametric U test in some river catchments, such as the Chao Phraya, Red River, central Mekong, lower Irrawaddy, and Salween Basins, where the projection consistencies in a positive change direction were less than 50%. Comparison of basin-wide empirical probability distributions of precipitation indices pointed to a robust increase in the frequency of the occurrence of heavy precipitation in intensity indices (e.g., Rx1D, Rx3D, and SDII). The relationship between d4PDF precipitation and total runoff generation outputs from the land surface component was investigated. The results show a high degree of temporal correspondence across the region under the present climate in several seasonal and intensity indices, except during the dry period (DJF and MAM). Finally, we found that epsilon(P)(P, R) of the annual and seasonal climatological indices of the future climate were always positive and larger than unity, with a median epsilon(P)(P, R) of 1.28-2.04. The results strongly reaffirm the role of rainfall as the main driver of runoff changes due to its faster response relative to change in precipitation at the Indochina Region.


英文关键词d4PDF extreme indices precipitation runoff elasticities single-model ensemble statistical significance total runoff
领域气候变化
收录类别SCI-E
WOS记录号WOS:000498807900001
WOS关键词PRECIPITATION EXTREMES ; KOLMOGOROV-SMIRNOV ; PART I ; TEMPERATURE ; RAINFALL ; TRENDS ; ASIA ; STATISTICS ; STREAMFLOW ; RESPONSES
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/225462
专题环境与发展全球科技态势
作者单位Kyoto Univ, Grad Sch Engn, Dept Civil & Earth Resources Engn, Kyoto, Japan
推荐引用方式
GB/T 7714
Hanittinan, Patinya,Tachikawa, Yasuto,Ram-Indra, Teerawat. Projection of hydroclimate extreme indices over the Indochina region under climate change using a large single-model ensemble[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019.
APA Hanittinan, Patinya,Tachikawa, Yasuto,&Ram-Indra, Teerawat.(2019).Projection of hydroclimate extreme indices over the Indochina region under climate change using a large single-model ensemble.INTERNATIONAL JOURNAL OF CLIMATOLOGY.
MLA Hanittinan, Patinya,et al."Projection of hydroclimate extreme indices over the Indochina region under climate change using a large single-model ensemble".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2019).
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