As. Sarkisyan, Synthesis of observational data and modeling results as a prospective direction for studying oceans, seas, and lakes, IZV ATM O P, 36(2), 2000, pp. 185-192
In the introduction of this work, prospects of ocean studies on a modeling
basis with the use of observational data are substantiated. Attention is dr
awn to the fact that modeling alone is inadequate to give a full descriptio
n of the actual ocean, which is primarily connected with inaccuracies and u
ncertainties in turbulence parametrization. On the other hand, discrete mea
surements in an ocean are highly noisy because of significant spatial and t
emporal variations in its actual physical fields; as a consequence, conside
rable errors may exist in the observation-derived physical fields. Thus, a
conclusion is made that, in order to minimize the drawbacks of either the h
ydrodynamic modeling or using observational data, mathematical models with
the use of observational data should be applied. Next, the basic models of
this type are analyzed: the dynamic method, diagnostic models, adaptation m
odels, and four-dimensional analysis. In this case, emphasis is placed on a
dvantages and shortcomings of each type of these models.