1. STORM WP7 Software library for nonlinear analysis of fluctuations in space plasma time series P. Kovács, A. Koppán C. Munteanu, M. Echim, STORM Annual Meeting, Graz, 25-26 November, 2013

2. Outline STORM related Matlab functions ASCII data import tool CDF file import tool Database of the deliverables (??) STORM Annual Meeting, Graz, 25-26 November, 2013

3. STORM Matlab functions Psd_Pwelch.m Psd_Plot.m Kurt_vs_Time.m Pdf_plot.m STR_Func.m Pmodel_Fit.m STR_plot.m PowerLFit.m FigParam_Save.m PLFit_vs_Time.m LogMean.m Increment.m GapFill.m function [Pxx, f] = Psd_Pwelch(indata, segments, overlap, fs, varargin) % Psd_Pwelch ; Computes the Power Spectral Density (PSD) function of % vector "indata" using the Welch algorithm (see Welch, 1967 or Matlab % Documentation). By default, the window segments are multiplied by Hamming % window of length given as floor(length(indata)/segments). However, % Gaussian, Hann and rectangular alternative windows can also be selected. % % [Pxx, f] = Psd_Pwelch(indata, segments, overlap, fs) % % INPUTS: % indata = input time series % segments = number of overlapping segments in which separate PSDs are % computed (Final PSD is given by the mean of the segment PSDs) % overlap = overlap of the segments in per cent ([0 100]) % fs = sapling frequency in Hz % varargin = Type of window with which the segments of input time-series % are multiplied before the PSD computation. Its value can be 'rectwin' % for rectangular, 'gausswin' for Gaussian or 'hann' fo Hann windows. If % varargin is not given, the Hamming window is used, by default. % % OUTPUTS: % [Pxx f] = Frequency, f, and the corresponding PSD, Pxx, of the input % time-series. (The first element of the spectrum corresponding to f = % 0 Hz is discarded) % % NOTE: % The conventional PSD function can be obtained by setting segments = 1 % and overlap = 0. % % REQUIRED MATLAB TOOLBOX: % - Signal Processing Toolbox window = floor(length(indata)/segments); L_overlap = floor(window*overlap/100); if(numel(varargin)) switch(varargin{1}) case 'rectwin' window = rectwin(window); case 'gausswin' window = gausswin(window); case 'hann' window = hann(window); end [Pxx, f] = pwelch(indata(:,2), window, L_overlap, [], fs); Pxx = Pxx(2:length(Pxx)); f = f(2:length(f)); PSD PDF STR General

4. ASCII Data Import Possible Input time formats: yy mm dd HH MM SS yy DoY HH MM SS yyyy-mm-ddTHH:MM:SS

5. ASCII Data Import

6. data14354×5 double filename ‚u01010minsh.dat’ header 5×4 char unit 4×2 char

7. CDF File Import TIME_RESOLUTION ??? Time_resolution ??? time_resolution

8. CDF File Import

9. STORM Annual Meeting, Graz, 25-26 November, 2013 CDF File Import – Gap handling Fill Methods Linear Interpolation Fill with value Resample

10. Uneven data sampling OUTPUT Linint.Non EQDistant Original points are not distorted ResampleEQDistantOriginal points are distorted STORM Annual Meeting, Graz, 25-26 November, 2013

11. Database of deliverables STORM Annual Meeting, Graz, 25-26 November, 2013

12. Content of the database Figures + Figure metadata

13. Data upload

14. Browsing in the database Search Options: Mission Instrument Data Type Period