Will Computer Models take over Wind Meteorology Jobs?

[FreshAJ]

The future of wind energy meteorology is causing some people to worry. In my previous post, I talked about how some wind energy companies are hiring entry level meteorology graduates for wind meteorologist jobs. However, many wind meteorologists are starting to worry that computer models will take over wind meteorology jobs in the near future and there will be no need to have them around.

To read the full article, please go to the link below:

http://www.freshaj.com/will-computer-models-take-over-wind-meteorology-jobs

[Jim Marusak]

that was an argument about anyone getting into meteorology, especially NWP and modeling: they were trying to make the perfect model that would put the rest of the field out of work. as much as everybody thinks that the models will fully take the place of humans anytime soon, they won't. the reason why? the computing power, no matter how good it is compared to what it was even 5-10 years ago, still isn't anywhere enough to really make all the appropriate sampling needed for the perfect weather model. add that to the ongoing research of making better surface and upper air analysis (better data in most of the time makes better data out, if the models can handle it), and we still have a ways to go. it's gotten a lot better overall over the last 15 years for sure, but we still have a ways to go to get that last little bit.

[FreshAJ]

Couldn't agree with you more. Thanks for the comment!

that was an argument about anyone getting into meteorology, especially NWP and modeling: they were trying to make the perfect model that would put the rest of the field out of work. as much as everybody thinks that the models will fully take the place of humans anytime soon, they won't. the reason why? the computing power, no matter how good it is compared to what it was even 5-10 years ago, still isn't anywhere enough to really make all the appropriate sampling needed for the perfect weather model. add that to the ongoing research of making better surface and upper air analysis (better data in most of the time makes better data out, if the models can handle it), and we still have a ways to go. it's gotten a lot better overall over the last 15 years for sure, but we still have a ways to go to get that last little bit.