US 9,811,614 B2
System and method for correcting a model-derived vertical structure of ocean temperature and ocean salinity based on velocity observations
Gregg Arthur Jacobs, Slidell, LA (US); Scott R. Smith, Slidell, LA (US); and Robert W. Helber, Slidell, LA (US)
Assigned to The United States of America, as represented by the Secretary of the Navy, Washington, DC (US)
Filed by Gregg Arthur Jacobs, Slidell, LA (US); Scott R. Smith, Slidell, LA (US); and Robert W. Helber, Slidell, LA (US)
Filed on Sep. 10, 2013, as Appl. No. 14/23,030.
Claims priority of provisional application 61/779,215, filed on Mar. 13, 2013.
Prior Publication US 2014/0278314 A1, Sep. 18, 2014
Int. Cl. G06F 17/50 (2006.01); G06F 17/16 (2006.01); G06F 17/22 (2006.01); G01W 1/10 (2006.01); G01V 11/00 (2006.01)
CPC G06F 17/5009 (2013.01) [G06F 17/16 (2013.01); G01V 11/00 (2013.01); G01W 1/10 (2013.01); G06F 2217/16 (2013.01)] 9 Claims
OG exemplary drawing
 
3. A system for predicting eddies comprising:
a matrix processor computing a historical covariance matrix of a vertical structure of ocean temperature and ocean salinity at each grid point using in situ temperature and in situ salinity, wherein the in situ temperature and the in situ salinity are obtained from a plurality of sensors deployed at a geographic location;
a geopotential processor computing geopotential heights along a water column at the geographic location based on the vertical structure, the geopotential processor including the geopotential height anomalies in the historical covariance matrix to determine a historical geopotential;
a correction processor computing horizontal relationships for the historical geopotential between the geopotential height anomalies and velocity observations from the geographic location, the correction processor obtaining a predicted temperature and a predicted salinity in the water column from a database, the correction processor correcting the predicted temperature and the predicted salinity in the water column based on a covariance relationship of the ocean temperature and ocean salinity between the historical geopotential and historical covariance matrix, and
a numerical model processor using the corrected predicted temperature and the corrected predicted salinity to generate a numerical model forecast for the geographic location, the numerical ocean prediction model predicting the eddies at the geographic location based on the numerical model forecast.