Figure 5: Density Map of Blocking Events Extracted from the Ecmwf Analysis Dataset. Extracting Spatio-temporal Patterns from Geo- Science Datasets. in Ieee Workshop on Visual- Ization and Machine Vision

Figure 6: Density map of blocking events extracted from the UCLA AGCM model data (1985-1989). impact of sea surface temperature anomalies on the rainfall over northeast brazil. Changes in Baroclinic Wave Activity during the Life Cycles of Low-Frequency Circulation Anomalies. Figure 3: Density map of cyclopresence during the northern winter from the ECMWF Advanced Analyses dataset. Figure 4: Density map of cyclopresence during the northern winter from the ECMWF AGCM dataset. extracted and cataloged. We demonstrated the utility of the system by executing queries to extract cyclone tracks and blocking events in several observational and AGCM simulation datasets. The ability to extract, analyze, and visualize these features from such large datasets allows scientists to easily compare model simulations and observational analysis to gain a better understanding of the physics behind such features.