scholarly journals Multi-decadal variability of soil moisture-temperature coupling over the contiguous United States modulated by Pacific and Atlantic sea surface temperatures

2016 ◽  
Vol 37 (3) ◽  
pp. 1400-1415 ◽  
Author(s):  
Trent W. Ford ◽  
Steven M. Quiring ◽  
Oliver W. Frauenfeld
2021 ◽  
Author(s):  
Matthew Patterson ◽  
Tim Woollings ◽  
Chris O'Reilly ◽  
Antje Weisheimer

<p>Variability of the East Asian summer jet stream (EAJ) has a significant impact on the climate of East Asia, primarily through its modulation of East Asian precipitation. In recent decades the impact of sea surface temperatures (SSTs) in the tropical Indian and Pacific oceans on the EAJ have been studied in considerable detail, however much less is known about the drivers of EAJ variability on decadal or multi-decadal timescales. Investigating this problem is made more challenging by the temporal limitations of reanalysis datasets.</p><p>In order to establish whether SSTs can provide a source of skill in predicting decadal variations of the EAJ, we analyse long pre-industrial control runs of the CMIP6 models. One issue with studying coupled model runs is that it is often unclear whether particular SST anomalies are forcing the atmosphere, and thus can provide a meaningful source of skill, or whether they are merely responding to local atmospheric anomalies. We address this issue by combining SST and turbulent heat flux information to indicate the direction of the forcing.</p>


2014 ◽  
Vol 15 (2) ◽  
pp. 714-725 ◽  
Author(s):  
Gregory J. McCabe ◽  
David M. Wolock

Abstract Singular value decomposition (SVD) is used to identify the variability common to global sea surface temperatures (SSTs) and water-balance-modeled water-year (WY) runoff in the conterminous United States (CONUS) for the 1900–2012 period. Two modes were identified from the SVD analysis; the two modes explain 25% of the variability in WY runoff and 33% of the variability in WY SSTs. The first SVD mode reflects the variability of the El Niño–Southern Oscillation (ENSO) in the SST data and the hydroclimatic effects of ENSO on WY runoff in the CONUS. The second SVD mode is related to variability of the Atlantic multidecadal oscillation (AMO). An interesting aspect of these results is that both ENSO and AMO appear to have nearly equivalent effects on runoff variability in the CONUS. However, the relatively small amount of variance explained by the SVD analysis indicates that there is little covariation between runoff and SSTs, suggesting that SSTs may not be a viable predictor of runoff variability for most of the conterminous United States.


2008 ◽  
Vol 268 (1-2) ◽  
pp. 137-142 ◽  
Author(s):  
Marie-Alexandrine Sicre ◽  
Jérémy Jacob ◽  
Ullah Ezat ◽  
Sonia Rousse ◽  
Catherine Kissel ◽  
...  

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