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Pages 57-62

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From page 57...
... Past, present, and planned missions to retrieve global surface vector wind fields from space (from Milliff et al., 2001~. The table compares surface vector wind accuracies with respect to in-situ buoy observations.
From page 58...
... A Bayesian Hierarchical Model is used to infer surface vector wind fields in the tropical Indian and western Pacific Oceans, given surface winds from QSCAT and the NCEP forecast model. Five realizations from the posterior distribution for (Teft)
From page 59...
... 59 10m U wind 25-Dec-1999 00:00:00 Divergence = au/ax + av/ay x 10-4 2Q 10 -10 -20 20 10 Q -10 -20 20 10 a -10 -20 20 1Q -10 -2Q 20 1Q o -1Q -20 Member 10 - Member 1 20 10 0 201 -10 -20 20 10 o -10 -20 Divergence 10- Divergence 1 Member 20 - Member 1 Divergence 20 - Divergence 1 ............ ..~ Member 30 - Member 1 Divergence 30 - Divergence 1 Member 40 - Member 1 Divergence 40 - Divergence 1 -6 -4 -2 0 2 4 6 -1 -0.5 0 0.5 1 X 10-4 0.5 o -0.5 -1 Tar 20 10 i.
From page 60...
... 60 90°N 60°N 30°N 30°S 60°S 90°S 60°N~ 30°N t on .~.
From page 61...
... c, 0.008 0.014 0.012 ·~` 0.01 c c: 0.008 0.006 0.004 n One 0.016 0.014 2 4 6 8 10 0.002 1 0-3 o 0.016 r (b) Posterior Distribution of BHM (no aft)


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