23rd Conference on Weather Analysis and Forecasting/19th Conference on Numerical Weather Prediction

JP2.5

A technique for creating composite sea surface temperatures from NASA's MODIS instruments in order to improve numerical weather prediction

Jason C. Knievel, NCAR, Boulder, CO; and D. L. Rife, J. A. Grim, A. N. Hahmann, and J. P. Hacker

The presenters will describe, and show results from, a technique for creating gridded composites of sea surface temperature (SST) from the MODIS instruments onboard the Aqua and Terra satellites. Several features of the technique make it well suited to mesoscale numerical weather prediction. First, it is real-time and can be made global. Second, the temporal component of the technique can be adjusted to maximize autocorrelation in the data and minimize missing data where cloudiness and other circumstances make good retrievals impossible. Third, holes in the composite owing to any remaining missing data are filled with a background field. Fourth, the diurnal variation of SST is taken into account.

extended abstract  Extended Abstract (1.6M)

Joint Poster Session 2, Joint Poster Part II
Tuesday, 2 June 2009, 3:00 PM-4:00 PM, Grand Ballroom Center

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