HR: 1330h
AN: H23A-08    [Abstracts]
TI: Scale Dependence of Spatial Statistics of TRMM PR-derived Rainfall and a Stochastic Fractional Diffusion Model
AU: * Kundu, P K
EM: kundu@climate.gsfc.nasa.gov
AF: Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County, 5523 Research Park Drive, Suite 310, Baltimore, MD 21228 United States
AU: * Kundu, P K
EM: kundu@climate.gsfc.nasa.gov
AF: Laboratory for Atmospheres, NASA/Goddard Space Flight Center, Mail Code 613.2, Greenbelt, MD 20771 United States
AU: Bell, T L
EM: Thomas.L.Bell@nasa.gov
AF: Laboratory for Atmospheres, NASA/Goddard Space Flight Center, Mail Code 613.2, Greenbelt, MD 20771 United States
AB: It is common knowledge that rain statistics vary in a non-trivial manner with the space-time scales over which the rain rate field is averaged. A recently developed stochastic dynamical rainfall model based on a fractional kinetic equation of the diffusion type quantitatively accounts for many aspects of spatial and temporal variability of rain expressed in terms of the second moment statistics of area-averaged precipitation rate observed in surface radar measurements, such as GATE and TOGA-COARE. In particular, the model predicts that the variance of area-averaged rain rate σ²(L) has a power law singularity, as the averaging length scale L tends to zero. In the present work the model is tested with satellite rainfall data, specifically the TRMM Precipitation Radar data over the tropical western Pacific Ocean.
DE: 1854 Precipitation (3354)
DE: 1869 Stochastic processes
DE: 3354 Precipitation (1854)
DE: 3360 Remote sensing
DE: 3367 Theoretical modeling
SC: Hydrology [H]
MN: 2005 Joint Assembly