
The Deep Learning-based Hurricane Intensity Estimator is a novel interactive map developed yesteryear NASA which uses artificial tidings to assess the current of air speed intensity of tropical storms. You tin run the map at the instant to follow the progress of Hurricane Florence equally it approaches the USA in addition to to persuasion the intensity assessments that the model has made for this huge tropical storm.
The model used yesteryear the map to assess the intensity of hurricanes is based on the the Dvorak technique. The Dvorak technique looks at patterns inward infrared satellite imagery to decide the intensity of tropical cyclones. When these patterns are assessed yesteryear humans the intensity guess is based on a subjective judgement. By instead using deep-learning to recognize the patterns inward infrared satellite imagery NASA hopes to prepare a to a greater extent than objective way to mensurate the intensity of tropical storms.
If y'all click on Hurricane Florence on the interactive map y'all tin persuasion the latest intensity guess of the storm. You tin besides persuasion in addition to download the deep learning predictions made yesteryear the model since Hurricane Florence began.

The rigid arrival of the 2018 hurricane flavour has led The Guardian to inquire the query From Maria to Florence: are hurricanes getting worse? The article uses the mapped tracks of previous hurricanes to visualize the frequency in addition to intensity of hurricanes in addition to answer the query of whether hurricanes are becoming worse.
The Guardian's decision is that hurricanes are inward full general becoming slower, stronger in addition to wetter because of warmer body of body of water temperatures.
Even though Hurricane Florence has weakened to a category two tempest its tiresome speed agency that it is probable to displace rigid tempest surges in addition to convey a lot of rain. The tempest is hence all the same forecast to displace catastrophic flash flooding in addition to prolonged pregnant river flooding.