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Next-Generation Oceanographic Sensors for Short-Term Prediction/Verification of In-water Optical Conditions--Mark L. Wells
Pages 135-137

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From page 135...
... Predictive models built upon our incomplete understanding of these linkages provide general hindcast capability for environmental conditions, but prove to be largely unreliable for accurate forecasting in these dynamic environments due to insufficient data streams of critical parameters. Improving forecasting accuracy will require information based on widely distributed, sensor-based observing systems capable of measuring multiple parameters simultaneously at high temporal and spatial resolution.
From page 136...
... Though much insight can be inferred from the current spectrum of sensor capabilities, accurate assessment of the broader chemical and biological parameters will be essential for accurate forecasting of in-water optical conditions. Moreover, none of the current sensor technologies provide logistically feasible capabilities for generating in-water, real time, high-density spatial and temporal data streams from remote coastal regions.
From page 137...
... Nanotechnology provides a major, largely untapped avenue for the transformative research and engineering needed to attain full utilization of these global observation networks, but oceanography lacks a critical mass of researchers who bridge with nanoscience, nanoengineering and industry. This situation will not change substantially without specific steps to lower the barrier between these distant research spheres, while also incorporating the industrial participation essential to linking sensor research to commercially available products.


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