Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Piecuch, Christopher G., Fukumori, Ichiro, and Ponte, Rui M., 2021. Intraseasonal Sea Level Variability in the Persian Gulf. Journal of Physical Oceanography, 51(5):1687–1704, doi:10.1175/JPO-D-20-0296.1.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2021JPO....51.1687P,
author = {{Piecuch}, Christopher G. and {Fukumori}, Ichiro and {Ponte}, Rui M.},
title = "{Intraseasonal Sea Level Variability in the Persian Gulf}",
journal = {Journal of Physical Oceanography},
year = 2021,
month = may,
volume = {51},
number = {5},
pages = {1687-1704},
abstract = "{Satellite observations are used to establish the dominant magnitudes,
scales, and mechanisms of intraseasonal variability in ocean
dynamic sea level ({\ensuremath{\zeta}}) in the Persian Gulf
over 2002-15. Empirical orthogonal function (EOF) analysis
applied to altimetry data reveals a basinwide, single-signed
intraseasonal fluctuation that contributes importantly to
{\ensuremath{\zeta}} variance in the Persian Gulf at monthly to
decadal time scales. An EOF analysis of Gravity Recovery and
Climate Experiment (GRACE) observations over the same period
returns a similar large-scale mode of intraseasonal variability,
suggesting that the basinwide intraseasonal {\ensuremath{\zeta}}
variation has a predominantly barotropic nature. A linear
barotropic theory is developed to interpret the data. The theory
represents Persian Gulf average {\ensuremath{\zeta}}
({\ensuremath{\zeta}} {\textasciimacron} ) in terms of local
freshwater flux, barometric pressure, and wind stress forcing,
as well as {\ensuremath{\zeta}} at the boundary in the Gulf of
Oman. The theory is tested using a multiple linear regression
with these freshwater flux, barometric pressure, wind stress,
and boundary {\ensuremath{\zeta}} quantities as input and
{\ensuremath{\zeta}} {\textasciimacron} as output. The
regression explains 70\% {\ensuremath{\pm}} 9\% (95\% confidence
interval) of the intraseasonal {\ensuremath{\zeta}}
{\textasciimacron} variance. Numerical values of regression
coefficients computed empirically from the data are consistent
with theoretical expectations from first principles. Results
point to a substantial nonisostatic response to surface loading.
The Gulf of Oman {\ensuremath{\zeta}} boundary condition shows
lagged correlation with {\ensuremath{\zeta}} upstream along the
Indian subcontinent, Maritime Continent, and equatorial Indian
Ocean, suggesting a large-scale Indian Ocean influence on
intraseasonal {\ensuremath{\zeta}} {\textasciimacron} variation
mediated by coastal and equatorial waves and hinting at
potential predictability. This study highlights the value of
GRACE for understanding sea level in an understudied marginal
sea.}",
doi = {10.1175/JPO-D-20-0296.1},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021JPO....51.1687P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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