Atmospheric state maps derived from the new AIRS Level 3 Quantization (L3Q) data product.

Using publicly available Geo-browsers such as Google Earth to present the JPL Earth Science datasets and deliver the science information to the general public.

Science data understanding entails fundamental and applied research motivated by science and engineering data analysis problems. Perforce, this includes research and practice in areas such as the analysis of massive data sets, data mining, mathematical and statistical modeling of complex systems, data visualization, parallel and distributed algorithms, computational and numerical methods, and statistics. We participate in interdisciplinary collaborations throughout JPL, NASA and the wider scientific community, serving on numerous science, research, and flight project teams. For example, science data understanding experts have developed and implemented algorithms for modeling the cosmic microwave background, analyzing massive remote sensing data sets and comparing these data to the output of global and regional climate models, predicting and understanding patterns in and causes of seismic activity, creating and managing access to massive astronomical catalogs and virtual observatories, and using geographical information systems to assist with Martian and Lunar landing site selection for upcoming missions. Our core expertise lies in our ability to develop new analysis methods in response to new problems, thereby enabling JPL scientists and engineers to gain valuable insights that would not be possible otherwise.