Identification of Pacific Ocean sea surface temperature influences of Upper Colorado River Basin snowpack

被引:32
作者
Aziz, Oubeidillah A. [1 ]
Tootle, Glenn A. [1 ]
Gray, Stephen T. [2 ]
Piechota, Thomas C. [3 ]
机构
[1] Univ Tennessee, Dept Civil & Environm Engn, Knoxville, TN 37996 USA
[2] Univ Wyoming, Wyoming Water Resources Climate Data Syst & Wyomi, Laramie, WY 82071 USA
[3] Univ Nevada, Dept Civil & Environm Engn, Las Vegas, NV 89154 USA
基金
美国国家科学基金会;
关键词
ATLANTIC MULTIDECADAL OSCILLATION; SINGULAR-VALUE DECOMPOSITION; WESTERN UNITED-STATES; EL-NINO; CARIBBEAN RAINFALL; SUMMER DROUGHT; CLIMATE; VARIABILITY; ENSO; PRECIPITATION;
D O I
10.1029/2009WR008053
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Given the importance of Upper Colorado River Basin (UCRB) snowpack as the primary driver of streamflow (water supply) for the southwestern United States, the identification of Pacific Ocean climatic drivers (e. g., sea surface temperature (SST) variability) may prove valuable in long-lead-time forecasting of snowpack in this critical region. Previous research efforts have identified El Nino-Southern Oscillation (ENSO) and Pacific Decadel Oscillation (PDO) as the main drivers for western U. S. snowpack, but these drivers have limited influence on regional (Utah and Colorado) UCRB snowpack. The current research applies for the first time the Singular Value Decomposition (SVD) statistical method to Pacific Ocean SSTs and continental U. S. snowpack to identify the primary Pacific Ocean climatic driver of UCRB snowpack. The use of SSTs eliminates any "bias" as to specific climate signals. The second mode of SVD identified a UCRB snowpack region (Colorado and Utah) and a corresponding Pacific Ocean SST region. A "non-ENSO/non-PDO" Pacific Ocean SST region between 34 degrees N-24 degrees S and 150 degrees E-160 degrees W was identified as being the primary driver of UCRB snowpack. To confirm the UCRB snowpack results, data from 13 unimpaired (or naturalized) streamflow gages in Colorado and Utah were used to evaluate and support the snowpack findings. Finally, a new and beneficial data set (western U.S. 1 March, 1 April, and 1 May snow water equivalent) was developed, which may be used in future research efforts.
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页数:9
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