TY - GEN
T1 - Data mining geophysical content from satellites and global climate models
AU - Erickson, David
AU - Daniel, Jamison
AU - Allen, Melissa
AU - Ganguly, Auroop
AU - Hoffman, Forrest
AU - Pawson, Steven
AU - Ott, Lesley
AU - Neilson, Eric
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77951193842&partnerID=8YFLogxK
U2 - 10.1109/ICDMW.2009.109
DO - 10.1109/ICDMW.2009.109
M3 - Conference contribution
AN - SCOPUS:77951193842
SN - 9780769539027
T3 - ICDM Workshops 2009 - IEEE International Conference on Data Mining
SP - 214
EP - 216
BT - ICDM Workshops 2009 - IEEE International Conference on Data Mining
T2 - 2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009
Y2 - 6 December 2009 through 6 December 2009
ER -