Abstract
Shipping fields are being generated on seasonal and monthly bases, in addition to the standard yearly averages. These fields are necessary for computer ambient noise models. However, to use only the set of discrete fields would result in discontinuous behavior of the noise model results as the computer code proceeds from one time interval to the next. To preclude this, an interpolation of the discrete data sets must be done in the time domain. A number of interpolatory functions are considered for either seasonal (4 data points) or monthly (12 data points) periodic fields. Linear, quadratic, and cubic splines were actively investigated. The linear spline does not model seasonal fluctuations in the data well; cubic splines do, and are easy to compute. Linear splines are wholly adequate for monthly fluctuations. [Work supported by ONR.]
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