JMC321 2018-08-26 22:30:03

Quickly learned the lesson, and passed the subsequent quiz.

Coley1982 2018-08-24 15:58:20

Awesome

Jas700 2018-08-15 14:47:06

Greatly improved my understanding of graphics concerning tropical cyclones, that some I understood but some were not so clear until I took this course....

pilotjong 2018-05-19 10:49:01

I liked the application problems in the quiz. However with some questions the answer choices were to similar to support any true value towards what was being asked.

ggalaski 2018-05-03 20:00:39

After my experience with Hurricane Irma and discussions with my meteorologist co-worker, I became a lot more aware of what the cone of uncertainty meant and wind predictions especially for my area where or when I had to assure that my amateur radio antennas would be least impacted.

2018-03-01 07:55:44

N/A.

paul.molomolo 2017-06-22 04:27:50

Great informative course

WHCCtechvolunteer 2017-06-21 06:18:08

I thoroughly enjoyed this module.

164767 2017-03-22 19:39:25

Pretty good.

LotharIrausquin 2016-12-21 09:03:28

Very good module

After completing this lesson, you will be able to:

• Explain how TC wind speed probability products account for forecast uncertainty.
• Identify the four TC wind speed probability products that are available.
• Explain how TC track, intensity, and size uncertainties are incorporated in the creation of TC wind speed probabilities.
• Explain how TC wind speed probability products are created.
• Identify the additional information that TC wind speed probabilities provide when compared with the cone of uncertainty.
• Determine whether to use onset or cumulative wind speed probabilities when addressing customer-specific needs.
• Determine the most likely and earliest reasonable time of onset for peak TC winds for any location.

wind speed probabilities, text product, hurricane-force winds, tropical-storm-force winds, strong tropical-storm-force winds, tropical cyclone, onset, cumulative, risk, cone of uncertainty, earliest reasonable time of arrival, most likely time of arrival, time of arrival, GFE, gfe, forecast uncertainty.

July 24, 2018: A majority of the case studies in the module have been updated to reflect the advancements made in the cone of uncertainty. Also, a section on two new forecast products has been added into the module (Time of Arrival graphics) to reflect the current state of tropical cyclone winds forecasting and information used by decision-makers to assess community risk. Learning objectives and keywords are updated.