Relationships between sea surface temperature anomalies in the Pacific and Atlantic Oceans and South Texas precipitation and streamflow variability

被引:21
作者
Murgulet, Dorina [1 ,2 ]
Valeriu, Murgulet [1 ,2 ]
Hay, Richard R. [2 ]
Tissot, Philippe [1 ,3 ]
Mestas-Nunez, Alberto M. [4 ]
机构
[1] Texas A&M Univ, Dept Phys & Environm Sci, 6300 Ocean Dr, Corpus Christi, TX 78412 USA
[2] Texas A&M Univ, Ctr Water Supplies Studies, Corpus Christi, TX USA
[3] Texas A&M Univ, Conrad Blucher Inst, Corpus Christi, TX USA
[4] Univ Texas San Antonio, Dept Geol Sci, San Antonio, TX USA
关键词
ENSO; PDO; AMO; South Texas; Climate impacts; Precipitation and streamflow variability; EL-NINO; OSCILLATION; RIVER; RAINFALL; PATTERNS; ENSO; PDO;
D O I
10.1016/j.jhydrol.2017.05.041
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
While many studies have described linkages between large-scale climate phenomena and precipitation and streamflow, fewer studies explicitly address the climatic modulations at sub-regional scales. This study quantifies statistically the temporal variability in precipitation and streamflow at a regional scale in the semi-arid area of South Texas associated with three climate indices: El Nino-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO). Results show that ENSO and PDO strongly modulate rainfall during the cold season and, to various extents, streamflow during the cold and warm seasons. In addition, this study shows that in South Texas streamflow is consistently below normal (i.e. means) while precipitation slightly increases during AMO-warm. To different extents, the Pacific and Atlantic sea surface temperature (SST) anomalies show stronger influences on the climate of South Texas when coupled. Droughts are more correlated with La Nina events but these events play a secondary role during PDO-cold. Although the PDO-cold phase is the dominant driver of droughts in this area, our analyses also show that the coupled effect of the PDO-cold/AMO-warm phases significantly increases the intensity of drought conditions to a degree similar to the PDO-cold/La Nina coupled effect. Given its stronger response to climate anomalies, streamflow offers a more effective tool for predicting climate variability impacts on South Texas water resources when compared to precipitation. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:726 / 739
页数:14
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