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Zhang, Jinwei, Tourian, Mohammad J., and Sneeuw, Nico, 2020. Identification of ENSO signature in the boreal hydrological cycle through canonical correlation with sea surface temperature anomalies. International Journal of Climatology, 40(15):6219–6241, doi:10.1002/joc.6573.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2020IJCli..40.6219Z,
author = {{Zhang}, Jinwei and {Tourian}, Mohammad J. and {Sneeuw}, Nico},
title = "{Identification of ENSO signature in the boreal hydrological cycle through canonical correlation with sea surface temperature anomalies}",
journal = {International Journal of Climatology},
year = 2020,
month = dec,
volume = {40},
number = {15},
pages = {6219-6241},
abstract = "{An increasing number of studies suggest that climate change causes
variation in the terrestrial water cycle. It is known that the
precipitation as the source of water storage change on land and
ocean is directly influenced by sea surface temperature (SST).
At scales larger than, say, 350 km, such water storage variation
can be monitored by the satellite gravimetry mission, the
Gravity Recovery and Climate Experiment (GRACE). How the water
cycle changes inter-annually in the boreal region and how the
hydrological variables such as precipitation, evaporation, run-
off and terrestrial water storage relate to El Nino Southern
Oscillation Index (ENSO) are still unanswered questions. We
explore the teleconnection patterns of the boreal hydrological
cycle and climate change indicated by ENSO over 2003-2014. We
use monthly total water storage changes derived from GRACE,
precipitation, run-off and evaporation on a 1{\textdegree}
{\texttimes} 1{\textdegree} grid, land surface temperature
anomalies on a 0.5{\textdegree} {\texttimes} 0.5{\textdegree}
grid and global SST anomalies with 5{\textdegree} resolution. We
apply canonical correlation analysis to link all the
hydrological variables to ENSO through SST to identify the
implicit relationship between the hydrological cycle on land and
ENSO. We identify significant correlations larger than 0.6
between Nino 3.4 and each hydrological variable via SST. The
associated spatial patterns indicate a clear ENSO signature in
boreal catchments, especially Ob and Yenisei. ENSO correlates to
abnormal increase of temperature in Ob, Yenisei and Lena. A
notable ENSO-related increase of precipitation is found over Ob
and a decrease over Lena and Yenisei. The negative water balance
of Lena and Yenisei reveals a teleconnection between boreal
water cycle and ENSO. In addition, the ENSO-associated modes
from terrestrial variables are investigated with aid of cross
wavelet coherency. The phase shifts obtained by cross
correlation analysis and wavelet coherency maps indicate the
response of boreal hydrological cycle with a 1-2 month lag to
ENSO.}",
doi = {10.1002/joc.6573},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020IJCli..40.6219Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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