Award Abstract # 0342104
Variability of the Climate System: Understanding Observed Low Frequency Variability of SST in the North Atlantic

NSF Org: AGS
Division of Atmospheric and Geospace Sciences
Recipient: GEORGE MASON UNIVERSITY
Initial Amendment Date: January 16, 2004
Latest Amendment Date: June 6, 2006
Award Number: 0342104
Award Instrument: Continuing Grant
Program Manager: Jay S. Fein
AGS
 Division of Atmospheric and Geospace Sciences
GEO
 Directorate for Geosciences
Start Date: February 1, 2004
End Date: January 31, 2008 (Estimated)
Total Intended Award Amount: $479,494.00
Total Awarded Amount to Date: $479,494.00
Funds Obligated to Date: FY 2004 = $155,198.00
FY 2005 = $161,572.00

FY 2006 = $162,724.00
History of Investigator:
  • Edwin Schneider (Principal Investigator)
    eschnei1@gmu.edu
  • Benjamin Kirtman (Co-Principal Investigator)
Recipient Sponsored Research Office: George Mason University
4400 UNIVERSITY DR
FAIRFAX
VA  US  22030-4422
(703)993-2295
Sponsor Congressional District: 11
Primary Place of Performance: George Mason University
4400 UNIVERSITY DR
FAIRFAX
VA  US  22030-4422
Primary Place of Performance
Congressional District:
11
Unique Entity Identifier (UEI): EADLFP7Z72E5
Parent UEI: H4NRWLFCDF43
NSF Program(s): Climate & Large-Scale Dynamics
Primary Program Source: app-0104 
app-0105 

app-0106 
Program Reference Code(s): 1303, 1304, EGCH
Program Element Code(s): 574000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

This project will investigate the causes for low frequency variability of North Atlantic sea-surface temperature in the latter half of the 20th century by employing a novel global climate modeling approach. The research will set up and test a framework that makes the diagnosis of observed variability possible for the first time in a coupled global climate modeling context. The model is to be forced by "observed weather noise" surface fluxes which are derived by removing an estimate of the forced atmospheric response from the total surface fluxes, as represented by the reanalysis produced by the National Centers for Environmental Prediction and the National Center for Atmospheric Research. The coupled model will utilize the interactive ensemble configuration to filter out the "weather noise" from the fluxes generated by the atmosphere and forcing the ocean, while fully simulating the coupled atmosphere-ocean feedbacks.

Broader impacts:
While the focus of this work is confined to the region of the North Atlantic, the technique could be allied to other regions and used to address a range of science questions. The project will also educate future climate scientists in the use of coupled general circulation models for studying climate.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Costa, M., A. A. Priplata, L. A. Lipsitz, A. L. Goldberger, N. E. Huang, Z. Wu, and C.-K. Peng "Noise and poise: enhancement of postural complexity in the elderly with a stochastic resonance-based therapy." Europhysics Letters , v.77 , 2007 , p.68008
Hu, Z.-Z., and Z. Wu, 2004 "The Intensification and shift of the North Atlantic Oscillation in a global warming scenario simulation" Tellus , v.52A , 2004 , p.112
Li, H., C. Wang, Y. Xu, and Z. Wu "Time-frequency analysis of the vertical dynamics of the track-vehicle system using EEMD" Chinese Railway Science , v.28(5) , 2007 , p.24
Schneider, E. K. and M. Fan "Weather noise forcing of surface climate variability" J. Atmos. Sci. , v.64 , 2007 , p.3265
Wu, Z., and D. W. Moore, 2004 "On the completeness of meridional eigenfunctions of tidal equation on an equatorial β-plane" Journal of the Atmospheric Sciences , v.61 , 2004 , p.769
Wu, Z., and N. E. Huang "A study of the characteristic of white noise using the Empirical Mode Decomposition method" Proceeding of the Royal Society of London, Series A , v.460 , 2004 , p.1597
Wu, Z., E. K. Schneider, and B. P. Kirtman "Causes of low frequency North Atlantic SST variability in a coupled GCM" Geophysical Research Letters , v.31 , 2004 , p.L09210
Wu, Z., Huang, N. E, S. R. Long, C.-K. Peng "Trend, detrend, and the variability of nonlinear and non-stationary time series" Proc. Natl. Acad. Sci. USA , v.104 , 2007 , p.14889 10.1073/pnas.0701020104

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