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Discovery of Climate Patterns from Global Data Sets Science Goal Understand global scale pa.pdf

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Discovery of Climate Patterns from Global Data Sets Science Goal Understand global scale pa

? Vipin Kumar NSF – October 10, 2007 Vipin Kumar University of Minnesota kumar@ /~kumar Collaborators: Chris Potter Michael Steinbach, Shyam Boriah NASA Ames University of Minnesota Steve Klooster Pang-Ning Tan California State University, Monterey Bay Michigan State University Research funded by ISET-NOAA, NSF and NASA Discovery of Patterns in the Global Climate System using Data Mining ? Vipin Kumar NSF – October 10, 2007 1 Science Goal: Understand global scale patterns in biosphere processes Earth Science Questions: – When and where do ecosystem disturbances occur? – What is the scale and location of human- induced land cover change and its impact? – How are ocean, atmosphere and land processes coupled? Data sources: – Weather observation stations – High-resolution EOS satellites 1982-2000 AVHRR at 2.5° x 2.5° resolution, 2000-present MODIS at 250m x 250m resolution – Model-based data from forecast and other models – Data sets created by data fusion Discovery of Climate Patterns from Global Data Sets Earth Observing System Monthly Average Temperature ? Vipin Kumar NSF – October 10, 2007 2 Computer Science Challenges Spatio-temporal nature of data – Traditional data mining techniques do not take advantage of spatial and temporal autocorrelation. Scalability – Size of Earth Science data sets has increased 6 orders of magnitude in 20 years, and continues to grow with higher resolution data. – Grid cells have gone from a resolution of 2.5° x 2.5° (10K points for the globe) to 250m x 250m (15M points for just California; about 10 billion for the globe) High-dimensionality – Long time series are common in Earth Science ? Vipin Kumar NSF – October 10, 2007 3 Detection of Ecosystem Disturbances Goal: Detection of sudden changes in greenness over extensive land areas due to ecosystem disturbances. Physical: hurricanes, fires, floods, droughts, ice storms Biogenic: insects, mammals, pathogens Anthropogenic: logging, drainage of wetlands, chemi