December 2, 2011, 12:00 pm - 1:00 pm
Decemberr 2, 12:00 pm - 1:00 pm
Fluctuation Analysis and Data Systems Representation for Space Weather Purposes
Dr. Reinaldo R. Rosa, Lab for Computing and Applied Mathematics, National Institute for Space Research, Brazil
Analysis of information from multiple data sources obtained through high resolution instrumental measurements has become a fundamental task in all scientific areas. The development of expert methods able to treat such multi-source data systems, with both large variability and measurement extension, is a key for studying complex scientific phenomena, especially those related to systemic analysis in space and environmental sciences. In this talk, we present a time series generalization introducing the concept of generalized numerical lattice, which represents a discrete sequence of temporal measures for a given variable. In this novel representation approach each generalized numerical lattice brings post-analytical data information. We define a generalized numerical lattice L as a set of three parameters representing the following data properties: dimensionality, size and post-analytical measure. From this generalization, any multi-source database can be reduced to a closed set of classified time series in spatio-temporal generalized dimensions [1]. As a case study, we show a preliminary application in space science data, highlighting the possibility of a real time analysis expert system. In this particular application, we have selected and analyzed, applying detrended fluctuation analysis (DFA), decimetric solar bursts associated to X flare-classes. The association with geomagnetic activity is also reported. DFA method is performed in the framework of a radio burst automatic monitoring system. Our results may characterize the variability pattern evolution, computing the DFA scaling exponent, scanning the time series by a short windowing before the extreme event. For the first time, the application of systematic fluctuation analysis for space weather purposes is presented [2]. [1] Veronese et al, Journal of Computational Interdisciplinary Sciences (2009) 1(2): 175-184. [2] Veronese et al, Journal of Atmospheric and Solar-Terrestrial Physics (2011) 73:1311-1316