Method for predicting depth distribution of predetermined...

Details Method for predicting depth distribution of predetermined... Method for predicting depth distribution of predetermined...

2006-03-27

2010-10-19

Sparks, Donald (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Creation or modification

C706S930000, C043S004500, C703S002000

Reexamination Certificate

active

07818280

ABSTRACT:
A linear regression equation, η1=α(ε×h)+β, is obtained based on a depth h to a water zone of a predetermined water temperature, respective densities ρ1and ρ2of upper and lower layers above and below the water zone, and an absolute dynamic topography η1obtained based on data measured by satellite (ε=(ρ2−ρ1)/ρ2). Further, h′ (depth of the water zone of the predetermined water temperature at each of a large number of spots) is determined according to this equation, η2=α(ε′×h′)+β, based on ε′ for each of the large number of spots calculated based on historical data, an absolute dynamic topography η2at each of the large number of spots based on data measured by satellite, and the values α and β.

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International Preliminary Report on Patentability issued in corresponding International Patent Application No. PCT/JP2006/306126, mailed on Nov. 1, 2007.

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