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The Global Station Papa Array is a set of three moorings. With a distance between moorings approximately ten times that of the water depth, the array is able to collect data on the mesoscale variability. Unlike the design of the Global Irminger Sea Array, the Global Station Papa array does not have an OOI Surface Mooring.
The Irminger Sea is a marginal sea of the North Atlantic Ocean. It is bordered to the west by southern Greenland , to the north by Iceland and the Denmark Strait , to the east by the Reykjanes Ridge (a northern part of the Mid-Atlantic Ridge ), and to the south by open waters of the North Atlantic.
Both barotropic and baroclinic instabilities generate vorticity leading to eddies called Irminger Rings. Associated with the formation of IRs is an increase in Eddy Kinetic Energy (EKE). [3] IRs are not the only type of eddy spawned around the Labrador Sea. Convective events in the interior Labrador sea create steep density gradients.
The Global Drifter Program (GDP) (formerly known as the Surface Velocity Program (SVP)) was conceived by Prof. Peter Niiler, with the objective of collecting measurements of surface ocean currents, sea surface temperature and sea-level atmospheric pressure [1] using drifters.
The 3000-float array was achieved in November 2007 and was global. The Argo Steering Team met for the first time in 1999 in Maryland (USA) and outlined the principles of global data sharing. The Argo Steering Team made a 10-year report to OceanObs-2009 [ 5 ] and received suggestions on how the array might be improved.
The Irminger Current is a north Atlantic ocean current setting westward off the southwest coast of Iceland. It is composed of relatively warm and saline waters from the eastern North Atlantic that are fed by the North Atlantic Drift .
NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]
For example, to perform an element by element sum of two arrays, a and b to produce a third c, it is only necessary to write c = a + b In addition to support for vectorized arithmetic and relational operations, these languages also vectorize common mathematical functions such as sine.