http://www.webmet.com/met_monitoring/621.html
this link is one I sent to Peter at the beginnning of this problem its the meteorologists way of handling the measurements. I've also seen this problem on another control forum they however could not come up with a solution that satisfied everyone. You will notice that one of the things they mentioned is that wind direction is defines as between 1 and 360 degrees. 6.2.1 to 6.2.3 covers how to handle the standard deviation. You can see that they mentioned the statistical mean values covering section 6.2.4. as a side not they have some exceptions where incorrect data can occur for this part. So the go further. If you look at 6.2.10 they mention the effects of meander wind low wind that for long periods of time overwrite statistical data so it jumps you to another page 6.4.4.
Your correct in the definitions of the problem if for example I had to design a system that requires highly accurate wind direction and speed the vextor base method simply would not cover all the possibilities. Or for weather forecasting for that matter. After reading this and thinking about what I would need to program this I start to prefer Peters alternatives in post 25.
I would be curious if a combination of Peters idea and adding statistical equations to the mix could compensate for some of the problems mentioed
this link is one I sent to Peter at the beginnning of this problem its the meteorologists way of handling the measurements. I've also seen this problem on another control forum they however could not come up with a solution that satisfied everyone. You will notice that one of the things they mentioned is that wind direction is defines as between 1 and 360 degrees. 6.2.1 to 6.2.3 covers how to handle the standard deviation. You can see that they mentioned the statistical mean values covering section 6.2.4. as a side not they have some exceptions where incorrect data can occur for this part. So the go further. If you look at 6.2.10 they mention the effects of meander wind low wind that for long periods of time overwrite statistical data so it jumps you to another page 6.4.4.
Your correct in the definitions of the problem if for example I had to design a system that requires highly accurate wind direction and speed the vextor base method simply would not cover all the possibilities. Or for weather forecasting for that matter. After reading this and thinking about what I would need to program this I start to prefer Peters alternatives in post 25.
I would be curious if a combination of Peters idea and adding statistical equations to the mix could compensate for some of the problems mentioed
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