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@msouff msouff commented Mar 19, 2018

-Useful when interested in a specific ensemble or in analyzing the accuracy of each individual ensemble.

Other small changes:

-A small bug fix where the graph would not display if the high res forecast was not in store.

-Darken the return periods colors.

-Changed warning naming to awareness

snowman2 and others added 30 commits March 17, 2016 15:18
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pythonweb2 commented Mar 27, 2019

@msouff How are you calculating the probabilities? From what I understand, you should be creating a binary array (1 if exceeds return period, 0 if doesn't) and then take the average of the binary array (so if there are 4 out of 5 that exceed return period, the probability is 4/5 or 80%).

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3 participants