کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5770789 1629904 2017 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research papersRelationships between sea surface temperature anomalies in the Pacific and Atlantic Oceans and South Texas precipitation and streamflow variability
ترجمه فارسی عنوان
رابطه بین ناهنجاری های دمای سطح دریا در اقلیم اقیانوس آرام و اقیانوس اطلس و تگزاس جنوبی بارش و تغییر آب و هوا
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی


- Coupled PDO-cold/AMO-warm correlates well with Texas droughts and South Texas streamflow droughts.
- ENSO and PDO strongly modulate rainfall during the cold season.
- The response of streamflow to climate phenomena is stronger than that of precipitation.

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 Niño-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 Niña 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 Niña 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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 550, July 2017, Pages 726-739
نویسندگان
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