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Sampling Evaluation to Measure Observing System Representativeness

This work presents a methodology for evaluating remote sensing system concepts in a representative environment. A precipitation measurement mission concept evaluation is used as an application case. The simulation model leverages the NASA GEOS-5 atmospheric model to generate natural spatial and temporal distributions of key convective system variables, Candidate system concepts are simulated over a one-year period with observations determined by sensor parameters, the position of the spacecraft relative to the GEOS-5 grid points, and the nature variable values at the observation time. Concepts are evaluated by the representativeness of the collected data relative to the distributions of the selected nature variables over the simulation period. Results show that spacecraft in sun-synchronous orbits (SSO) with a 0130/1330 hours equator crossing and those with a 60° inclination orbit collect data that are most representative of precipitation and wind respectively.