Characterizing present and future drought changes over eastern China
Characterizing present and future drought changes over eastern China
复制标题
表征中国东部当前和未来的干旱变化
DOI:
10.1002/joc.4987
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发表时间:
2017-01
期刊:
影响因子:
--
通讯作者:
Sun J. Q.
中科院分区:
文献类型:
--
作者:
Chen H. P.;Sun J. Q.
This study aimed to characterize present and future drought changes over eastern China using observations and Coupled Model Intercomparison Project Phase 5 (CMIP5) simulations. We used the standardized precipitation evapotranspiration index (SPEI) to characterize droughts at the timescales of 3‐ and 12‐month. We distinguished the spatial patterns of drought regimes (DRs) using the rotated empirical orthogonal function (EOF) on the SPEI. Our results identified three DRs centered in northern China (DR1), northeastern China (DR2), and southern China (DR3). Droughts in these regimes have increased in recent decades. Most CMIP5 models reproduce at least two of the DRs. The rotated EOF results indicate that the three DRs can jointly explain 46–68% of the SPEI variance (compared with approximately 60% in the observations). Among the 33 CMIP5 models analysed in this study, 13 simulated all three DRs well and showed a strong correlation pattern (>0.5). Further analysis indicated that both the external natural and greenhouse gas forcing experiments in CMIP5 reproduced the DRs, implying that natural variability and anthropogenic activity play important roles in the formation of these DRs. With continued climate warming, the three DRs over eastern China will persist. Despite the uncertainties in drought changes that mainly depend on the potential evapotranspiration methods, climate model results suggest that droughts would be aggravated under warming scenarios. The probability of severe droughts increase by the end of the century: 33% in DR1, 25% in DR2, 34% in DR3 in RCP4.5 and almost double in RCP8.5 scenario in Thornthwaite method based SPEI estimates.
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DOI:
10.1002/joc.2306
发表时间:
2012-04
期刊:
International Journal of Climatology
影响因子:
--
作者:
D. Manatsa;C. Reason;G. Mukwada
通讯作者:
D. Manatsa;C. Reason;G. Mukwada
影响因子:
5.2
作者:
Wenjun Zhang;F. Jin;A. Turner
通讯作者:
Wenjun Zhang;F. Jin;A. Turner
影响因子:
--
作者:
Ma ZhuGuo
通讯作者:
Ma ZhuGuo
影响因子:
6.3
作者:
S. Vicente‐Serrano;J. López‐Moreno
通讯作者:
S. Vicente‐Serrano;J. López‐Moreno
影响因子:
5.8
作者:
Huijun Wang
通讯作者:
Huijun Wang