With 15,000+ citizen scientists contributing to CycloneCenter.org, we have more than thirty thousand eyes searching through satellite data.
So far, everyone has provided input on almost 50,000 images. As we begin to sift through all the responses, one task is to determine the storm type (eye, shear, embedded center or curved band) of each image from all the responses.
The eye images seem to make up about 8% of our images so far. The image below is a collection of some of the images identified as eye scenes by the citizen scientists. This is only a small portion of what we have, but it shows great progress.
This contains only 391 of the ~4500 eye images identified. So, 30,000 human eyes have found 4500 storm eyes.
This month, we are naming the monthly award for the top classifier as the “Baja award” in honor of our consistent participant baha23 and retiring the name in recognition of the consistent contribution to the project from the monthly stat board (so that others can also be recognized for their effort). Likewise, the overall project activity list is now the “Bretarn board” in honor of our longtime contributor, bretarn (who also was our 300,000th classification).
Question of the Month: What is the best time to classify storms? Do you classify during your downtime? Answer in the comments below.
For March 2014, we had 7,964 classifications of 364 storms from 254 citizen scientists.
Top 10 most active citizen scientists for April 2014.
Baja Award: Most active citizen scientists each month.
The Bretarn Board: Most active citizen scientists overall.
Did you notice that peterthorne moved up a spot on the all time list. It turns out that work travel is a great time to classify storms. So why not use Airport wifi to classify storms while waiting in the airport??
Also, what do you think of the Baja award?