帮助解释风玫瑰图——地球科学堆栈交换江南电子竞技平台江南体育网页版 最近30从www.hoelymoley.com 2023 - 07 - 10 - t03:14:02z //www.hoelymoley.com/feeds/question/7400 https://creativecommons.org/licenses/by-sa/4.0/rdf //www.hoelymoley.com/q/7400 7 帮助解释风玫瑰图 贾汗季 //www.hoelymoley.com/users/5122 2016 - 01 - 29 t01:29:59z 2016 - 01 - 31 - t17:48:26z < p > < a href = " https://i.stack.imgur.com/3zc6E.png " rel = " noreferrer " > < img src = " https://i.stack.imgur.com/3zc6E.png " alt =“玫瑰图”> < / > < / p > < p >谁能评论的技术解释风柔丝连接吗?< / p > < p >我可以理解WNW之间的风,与西南偏南约7 - 11千米/时的速度。为16公里/小时的频率从西南吹来,量。为4 - 7公里/小时的频率之间吹WNW,ESE吗?< / p > < p >这是全部或部分信息我失踪吗?< / p >的峰值是什么意思? //www.hoelymoley.com/questions/7400/-/7401 # 7401 8 回答在410年离开了帮助解释风玫瑰图 410年不见了 //www.hoelymoley.com/users/100 2016 - 01 - 29 t07:27:14z 2016 - 01 - 29 t07:27:14z < p >没有,你误解了。有很多的信息你失踪。每一个数据点都是信息,你列出了其中的一小部分。< / p > < p >此外,4 - 7公里/小时,16公里/小时不是频率,它们风速。的距离中心给你的频率。< / p > < p >所以飙升对N意味着北风比北北西和更频繁的向风。可能会有一些保护的方向,风将来自那里,实际上是让引导来自朝鲜。或有一个特定时段的效果,或者记录工件,一打一个解释,只有人更多关于网站的信息和数据收集可以评估。< / p > < p >然而,最快的风不吹这个方向:它们都来自年代之间的象限和w . < / p > //www.hoelymoley.com/questions/7400/-/7413 # 7413 5 安迪·克利夫顿的回答帮助解释风玫瑰图 安迪·克利夫顿 //www.hoelymoley.com/users/202 2016 - 01 - 31 - t17:48:26z 2016 - 01 - 31 - t17:48:26z < p >风向玫瑰图显示了不少东西。风玫瑰的目的是帮助你理解的频率、强度和方向的风是< em > < / em >。< / p > < p >为什么风方向< em > < / em >,和< em > < / em > ?他们常常被用于建筑设计的可视化数据,我们关心的是抵制加载,所以我们使用风来自的方向。他们也用于气象:不同的风带来不同的天气(北风是冷在北半球),所以是有意义使用< em > < / em >。飞行员关心风他们会遇到起飞或降落,所以他们想知道他们必须抵制。有很多原因,其中一些讨论< a href = " https://en.wikipedia.org/wiki/Wind_rose " rel = " nofollow noreferrer " > https://en.wikipedia.org/wiki/Wind_rose < / >。< / p > < p >其他事情要知道你看图表:< / p > < ul > <李>这个图表是基于时间序列的风的位置。李李< / > < >数据被放置(“封存”)的风速范围,范围和方向。例如,记录12.6公里/小时的风速和风向92°将放入到16公里/小时风速范围,范围和W方向。这使它更容易接受结果。
  • The different coloured lines are for the different wind speed ranges, measured in kilometers per hour.
  • Winds are shown in small sectors of wind direction. In this plot the bins are 22.5°, which corresponds to 16 subdivisions of the compass rose.
  • The distance from the center of the rose gives the frequency of winds in each wind direction sector; this is why the north axis has a number on it that increases from 0 to 4000; this is the number of records.

    • To use the wind rose, you can start by looking at winds of a certain speed range, for example the pale green series. This is winds in the range 7-11 km/hr. Now, follow it clockwise around the plot. You see that there is a peak in winds with a speed of 7-11 km/hr to the north, another to the E, and also a lot of 7-11 km/hr winds between WNW and SSE.

    You could also look at a particular wind direction, for example for winds from the west. Maybe your building has a very exposed west wall? Anyway, you would see then that the most common winds are in the range 7-11 km/hr (green line), followed by 11-16 km/hr (purple), then 4-7 km/hr (red), then 0-4 km/hr (blue), and so-on.

    If we wanted to, we could get the relative frequency of winds in this sector by looking at the distance from the center of the plot for each line and dividing the distance for one line by the sum of all lines in that direction sector.

    We can also see some information about the maximum wind speed. For example, there are no winds over 22 km/hr at this location, because there is no orange line. But, there is a light blue line, which shows winds from 16-22 km/hr, so we can say that the maximum wind speed that's been see at this location is less than 22 km/hr, but more than 16 km/hr.

    This wind rose is quite hard to use. Often we would plot the wind speeds as stacked bars so that you can see what is the direction from which winds come most often. This is used in wind energy, for example. See https://stackoverflow.com/questions/17266780/wind-rose-with-ggplot-r for an example of a different way to show this data.
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