Autonomous Oceanographic Sampling Networks

Abstract

Assessing the reality of numerical model fields with ever increasing resolution, testing dynamical balances involving high-order derivatives, and ex- ploring the limits of predictability require mea- surement of temporal and spatial gradients in the ocean far exceeding current practical capabilities. Sensors for various properties have improved steadily in recent years, capitalizing on advances in electronics, fiber optics, and materials. In con- trast, platforms enabling measurement of property gradients remain primitive. With current trends, advances in a large class of ocean science prob- lems will be increasingly platform limited.