Sea surface temperature (SST) fields of the coastal ocean off eastern Nova Scotia (Scotian Shelf) are required for assimilation into a dynamical ocean model. Advanced Very High Resolution Radiometer (AVHRR) imagery can provide operational SST but due to the high incidence of cloud cover and fog in the region and low water temperatures, special attention must be paid to the cloud masking process in order to maximize the amount and quality of data. We have applied three different cloud masking algorithms to NOAA-14 AVHRR data from October 2000 and discuss the effect they have on the resultant SST coverage. We also compare the AVHRR SST, calculated using NOAA's multi-channel SST algorithm, to in situ measurements from two surveys of water temperature made with aircraft-deployed sensors. It was found that on average, the AVHRR was within 0.64 degC of the in situ values which are measured at a depth of 1.5 m.

This paper describes extensions to OpenMP that implemen data placemen features needed for NUMA architectures. OpenMP is a collection of compiler directives and library routines used to write portable parallel programs for shared-memory architectures. Writing efficient parallel programs for NUMA architectures, which have characteristics of both shared-memory and distributed-memory architectures, requires that a programmer control the placement of data in memory and the placement of computations that operate on that data. Optimal performance is obtained when computations occur on processors that have fast access to the data needed by those computations. OpenMP-designed for shared-memory architectures-does not by itself address these issues. The extensions to OpenMP Fortran presented here have been mainly taken from High Performance Fortran. The paper describes some of the techniques that the Compaq Fortran compiler uses to generate efficient code based on these extensions. I also describes some additional compiler optimizations, and concludes with some preliminary results.