Data Mining Geophysical Content from Satellites and Global Climate Models

We present an example of a simulated global climate model that is intended to stream real-time NASA data into the geophysical and climate science and assessment community over the next 5-10 years. It is known that the 3-D atmospheric wave structures and transport physics interact with spatially and time varying surface sources and sinks of CO₂, and that this communication between surface and atmosphere results in an exceedingly complicated evolution of atmospheric CO₂ in time and space. Data mining techniques may be applied to the further development this 4-D model by incorporating satellite-generated data sets for hundreds of geophysical climate variables into existing simulation structures. These data sets are of order 100´s of Terabytes. Data mining will allow the determination of the fluxes of atmospheric CO₂. Data mining and knowledge acquisition contribute to the accurate determination of the sources and sinks of atmospheric CO₂, facilitating among other scientific discoveries, global treaty verification.