A key component of NASA’s Earth Observing System is its field experiments, for intensive observation of particular phenomena such as hurricanes, or for ground validation of satellite observations. These field experiments collect many datasets from a wide variety of satellite, airborne, and ground-based instruments, on different spatial and temporal scales, often in unique formats. Such varied environmental observations are important for physical process studies, disaster assessment and response, as well as for the validation of environmental satellite observations and atmospheric models which can improve forecasts. However, the challenges inherent in working with such varied datasets mean they are underused despite their value.
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