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Category 4

Influence of Sun Heat on Wind Speed

Water and air temperature play a big role in the formation of storms and continuous generation of wind. Does the sun heat have an impact on the wind speed? In this script we'll use a mapper to change timestamp to solar time.

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Number of Storms per Month per Hemisphere

In category 2, we looked at the number of storms per month. Here we will do the same but for each hemisphere so that the seasonality becomes much more obvious. We'll use a mapper to generate multiple GTSs from a unique GTS.

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Correlation between Wind and Pressure

There seems to be a relation between wind and pressure. We will visualize wind with respect to pressure as well as an experimental formula from a research paper. We will see GTS is a model for time series but it can also represent any series!

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Visualize Storms on a Map

In the introduction of this tutorial, we show a nice visualization of the storms tracks as well as their intensity. You're now worthy of the knowledge of Processing visualizations, use it with wisdom.

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Add Basin Information on GTSs

In category 3, we added the unit attribute to the GTSs. We will now add another attribute, the basin of origin. This is a bit more tricky because we have to define areas, but nothing WarpScript can't handle.

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Smooth Cyclone Tracks

In the IBTrACS sample we use, the location of the cyclones is mostly given every 6 hours. This creates tracks with sharp turns rendering linear interpolation ill-adapted. Instead, we use Catmull-Rom spline to smooth tracks in this script.

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Evolution of the ACE for each Basin

We added the basin information in a previous script and we know how to compute ACE from a category 3 script. Time to combine the two to have ACE per basin!

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Add a Sample of METAR Data

Until now, we focused on the IBTrACS dataset but much more insight can be gained from combining two different datasets. That's why we take a sample of METAR data and import it. We use multi-values to store the data for compactness.

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Combine METAR and IBTrACS Data for Analysis

Now that we have some METAR data available, we can compare it to the IBTrACS data. We do so by following a particuliar storm near the Baton Rouge airport where we got the METAR data from.

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Find Similar Cyclones Tracks

Cyclones tracks are like their footprints. By measuring a pseudo-distance between tracks, we can find the most similar tracks to a given track. This pseudo-distance is called DTW and, guess it, we have a fonction for that in WarpScript.

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Category 5 comming soon!