sample data for hess-2019-205 submission
| Authors: | |
|---|---|
| Owners: | Elizabeth Jachens |
| Type: | Resource |
| Storage: | The size of this resource is 6.4 KB |
| Created: | Apr 11, 2019 at 12:16 a.m. |
| Last updated: | Feb 03, 2020 at 9:11 p.m. (Metadata update) |
| Published date: | Feb 03, 2020 at 9:11 p.m. |
| DOI: | 10.4211/hs.e3c159631acd470cbeef5fa1abe0142e |
| Citation: | See how to cite this resource |
| Content types: | Single File Content |
| Sharing Status: | Published |
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| Views: | 2206 |
| Downloads: | 153 |
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Abstract
Sample data for HESS-2019-205 submission
Description: This file contains the event magnitudes and spacing for Cases 1 & 3 presented in the submitted manuscript to HESS titled "Recession analysis 42 years later - work yet to be done".
CVS File: This file is an ordered set of the normalized event magnitude [-] and the start date fo the event (Time/Timescale [-])
Matlab File: The file is presented is in a .mat file extension created in Matlab. The data is divided into 3 columns: mag, value, and start_locs. The column of "Mag" defines the event magnitudes, which are log-normally distributed with a mean 1 of a standard deviation of 1. The column of "value" defines the event duration which has a mean of 2.5 and a standard deviation of 1. The "start_locs" column as the cumulative event durations that identify the start time of each event. Below is the associated Matlab code used to create the file:
%% Matlab Code %%
mag= lognrnd(1,1[number_of_events,1]); %create log-normally distributed dataset of event magnitudes for a defined number of events
mag(mag<0)=1; %remove any negative magnitudes
value=round(lognrnd(2.5,1,[number_of_events,1])); %create log-normally distributed dataset of event durations for a defined number of events
value(value<=0)=1; %remove any negative durations
start_locs=[2;cumsum(value)]; %create cumulative event start time-series
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