Data mining geophysical content from satellites and global climate models

David Erickson, Jamison Daniel, Melissa Allen, Auroop Ganguly, Forrest Hoffman, Steven Pawson, Lesley Ott, Eric Neilson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 CO 2, facilitating among other scientific discoveries, global treaty verification.

Original languageEnglish
Title of host publicationICDM Workshops 2009 - IEEE International Conference on Data Mining
Pages214-216
Number of pages3
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009 - Miami, FL, United States
Duration: Dec 6 2009Dec 6 2009

Publication series

NameICDM Workshops 2009 - IEEE International Conference on Data Mining

Conference

Conference2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009
Country/TerritoryUnited States
CityMiami, FL
Period12/6/0912/6/09

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