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Wind and Water Distribution over Ocean W. Timothy Liu, Xiaosu Xie, and Wenqing Tang Distribution of Wind Power over Ocean Closure of Water Balance Meso-scale Ocean-atmosphere Coupling. SMMR. Power density. Center of cyclonic currents. Using Weibull distribution. Scaling factor.
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Wind and Water Distribution over Ocean • W. Timothy Liu, Xiaosu Xie, and Wenqing Tang • Distribution of Wind Power over Ocean • Closure of Water Balance • Meso-scale Ocean-atmosphere Coupling
Power density Center of cyclonic currents Using Weibull distribution Scaling factor Shape factor ū is mean wind speed σ is standard deviation of wind speed Г is the gamma function
Distribution of Wind Speed • Generating electric power from wind energy at sea (floating wind farms) • Avoid hazard conditions in shipping • Ocean-atmosphere exchanges, in heat, water, and greenhouse gases
HYDROLOGIC BALANCE HYDROLOGIC BALANCE Ue=f(Us) Liu (1993)-polynomial Liu & Tang (2005) - Neural Network Ue = U850mb Heta & Mitsuta (1993) Both Us & U850mbXie et al. (2007) - SVR
Flux Divergence E-P
Subtropical South Pacific CC=0.856 CC=0.913 E-P
CC=0.81 Equatorial western Pacific CC=0.764
Ocean Balance GRACE Climatology Land Balance
Ocean’s Influence on Water Balance of South America Liu et al., GRL 2006 The approximate balance of dM/dt with ∫-R bolsters not only the credibity of the spacebased measurements, but supports the characterization of ocean’s influence on continental water balance.
Meridional Heat Transport (MHT) Center of cyclonic currents H: Heat content ζ: Horizontal heat flux SW: Short wave radiation LW: Long wave radiation LH: Latent heat SH: Sensible heat
Summary • AMSR measures the largest aggregate of water cycle parameters • The high resolution global coverage is conducive to study the coupling of mid-latitude ocean fronts with atmosphere • It provide the distribution of wind power density with unprecedented details • Need continuous and consistent time series • New opportunity for science synergism still lies ahead
Center of cyclonic currents Backup
Mid-latitude Coupling over Ocean Front • Our knowledge on stress was derived from winds before we have scatterometer • High-resolution AMSR data help to define mesoscale SST gradient where stress could not be derived from wind alone • Because the weak lapse rate, mid-latitude SST anomalies could not generate atmospheric response above boundary layer. • Satellite data contradict such notion and challenge on dynamics and scaling for the modelling community.
Filtered ENW (color) and SST (contour) Collocation of ENW magnitude with SST is inherent in the definition of ENW and turbulent mixing theory.
Filtered precipitation (color) and SST (contour) Precipitation is in quadrature with SST and in phase with surface wind convergence.