ABSTRACT

This chapter addresses targeting of mobile sensor networks to extract maximum information from an environment in the context of numerical weather prediction. Accurate prediction of a weather system typically requires extensive in situ observations distributed over a large spatial and temporal domain because of huge dimensionality, nonlinearity, and uncertainties in a system. Without sufficient measurements, the difference between estimated and true state of a system can grow rapidly, leading to arbitrary and inaccurate predictions.