I’m hurt because you did not check the weather correctly!
So this is the new standard that I was asked to vote on recently.
Withdraw With Replacement to F2993-2013 Guide for Monitoring Weather Conditions for Safe Parasail Operation WK47376 PDF (8.0K)
(SEE VOLUME 15.7)(CONCURRENT WITH .6500)
TECHNICAL CONTACT: Matt Dvorak
When I don’t fully understand the issues or have not seen the actual standard (yes it is a little crazy trying to read what you are voting on sometimes) I abstain. I did so on this standard also.
Besides voting against a standard requires you to articulate the reasons why you are voting no on the standard. “This is stupid,” is not a good reason according to the ASTM. Nor is “this is going to help plaintiff’s win lawsuits” a valid reason for voting no.
However, can’t you see this doing nothing but creating legal nightmares.
“You said you checked the weather, and you said to launch, but the wind changed because a front moved/truck came by/that is what the wind does, and I crashed. You owed me a duty to check the weather; that duty is in writing, and you agreed to it by becoming a member of the ASTM and agreeing to the standard (or not agreeing to the standard; you are still held to the standard), and my injuries are a result of you not following the standard.”
Somewhere, the ASTM, there is an idea that the creation of standards stops lawsuits, but even the ASTM can’t show any proof of that.
What do you think? Leave a comment.
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Mountain Weather Workshop
Register online here:
will provide a basic understanding of meteorological principles applied to weather in mountainous areas. Afternoon sessions will focus on using publicly available weather information to create a local forecast. Participants will interact with experienced weather forecasters and work in small groups to generate and present their own forecasts. The workshop is designed for avalanche practitioners and avid recreationalists. Anyone interested in mountain weather phenomena is welcome and no previous meteorological education is required. Participants are encouraged to bring their own laptop computer with wireless capability for the small group exercises.
This course is intended for anyone who wants a deeper understanding of weather processes and the products available for forecasting. Ski patrol, mountain guides, avalanche forecasters, natural resource managers, avid recreationalists and mountain pilots would all benefit from this course.
Dr. John Snook, Mountain Weather and Avalanche Forecaster, CAIC – Boulder
Dr. Ethan Greene, Director, CAIC
Students receive a mountain weather workbook as a part of the course. We highly recommend bringing a laptop with wireless networking capability.
A commonly practiced weather forecast strategy is to take a systematic approach to organizing forecast information by spatial scale. The approach starts by analyzing large-scale hemispheric information and then working downscale to high-resolution information. The workshop schedule reflects this strategy with a focus on big picture weather basics and phenomena on day one, followed by regional-scale weather on day two, and then mountain-scale weather on day three. Morning sessions will provide an understanding of meteorological systems at these particular scales. Afternoon sessions will apply this understanding to prediction techniques typically used by professional weather forecasters. Participants will gain practical skills through small group forecast preparation exercises at the end of each day.
Specifically, the Mountain Weather curriculum addresses:
• A general approach to weather forecasting
• Basic forecasting strategies and processes
• Meteorology basics
• Observational meteorology components
• Introduction to weather computer models
• Hemispheric to regional to mountain scale weather processes
• Precipitation mechanics
• Interpretation of weather products
Upon completion of the course, students will have had the opportunity to:
• Learn and utilize a framework and checklist for mountain scale weather forecasting
• Access and interpret available weather resources and models in forecasting exercises
• Develop a list of resources and forecasting approach to a specific area(s) of interest