How to calculate wind direction from U and V wind components in R

angle, atan2, pi, r

Solution

There are three problems with this:

- You cannot convert m/s to radians. In order to input wind components into `atan2`, you must normalize them, but you don't do this by multiplying m/s by `pi/180` (which you did to get `u_rad` and `v_rad`). You should make a column of absolute windspeed (`sqrt(u_ms^2 + v_ms^2)`) and take `atan2(u_ms/wind_abs, v_ms/wind_abs)`. (also note that atan2 takes y component first - make sure that's what you want)

- `atan2` will give you an answer in the unit circle coordinates, which increase counterclockwise and have a zero on the x-axis. You want an answer in cardinal coordinates which increase clockwise and have a zero on the y-axis. To convert unit circle to cardinal coordinates, you must subtract the unit circle angle from 90.

- You must know whether the wind info refers to the direction the wind is coming from (standard for cardinal coordinates) or the direction the wind is blowing (standard for trig/vector operations)

If you are given `u_ms = = -3.711` and `v_ms = -1.471` (on the unit circle it is blowing down and slightly to the left, so it is coming from the northeast), then:

wind_abs = sqrt(u_ms^2 + v_ms^2)
wind_dir_trig_to = atan2(u_ms/wind_abs, v_ms/wind_abs) 
wind_dir_trig_to_degrees = wind_dir_trig_to * 180/pi ## -111.6 degrees

Then you must convert this wind vector to the meteorological convention of the direction the wind is coming from:

wind_dir_trig_from_degrees = wind_dir_trig_to_degrees + 180 ## 68.38 degrees

Then you must convert that angle from "trig" coordinates to cardinal coordinates:

wind_dir_cardinal = 90 - wind_dir_trig_from_degrees
[1] 21.62284 #From the northeast.

Problem

I have U and V wind component data and I would like to calculate wind direction from these values in R. I would like to end up with wind direction data on a scale of 0-360 degrees, with 0° or 360° indicating a wind blowing to the north, 90° indicating a wind blowing to the east, 180° indicating a wind blowing to the south and 270° indicating a wind blowing to the west. Below is some example data: ``` wind <- read.table(header = TRUE, text = " u_ms v_ms u_rad v_rad -3.711 -1.471 -0.064769155 -0.025673788 -2.2417 -1.6118 -0.039125038 -0.028131211 -1.8188 -1.6613 -0.031744042 -0.028995149 -1.6164 -1.7037 -0.028211496 -0.029735168 -1.3941 -1.7388 -0.02433163 -0.030347779 -1.0682 -1.8748 -0.018643603 -0.032721426 -0.57611 -1.8359 -0.010055014 -0.032042493 -1.5698 -1.6766 -0.027398173 -0.029262184 -1.4976 -1.6994 -0.026138045 -0.029660119 -1.3537 -1.7505 -0.023626517 -0.030551982 -1.0901 -1.4947 -0.01902583 -0.026087431 -0.60403 -0.96283 -0.01054231 -0.01680455 -0.70812 -1.1194 -0.012359023 -0.019537212 -0.49045 -0.6849 -0.008559966 -0.011953758 -0.39849 -0.7847 -0.006954961 -0.013695596 0.17875 -0.80349 0.003119775 -0.014023543 0.48356 -0.19352 0.008439712 -0.00337756 1.5082 -0.97815 0.02632305 -0.017071935 1.4219 -1.0835 0.024816831 -0.018910639 2.5881 -0.81666 0.045170857 -0.014253403 ") ``` I have used the following code to try and obtain wind direction (column `td`), but I am not convinced that the returned angles are those that I want (i.e. 0°/360° indicating a wind blowing to the north, 90° indicating a wind blowing to the east etc…). ``` u = wind$u_rad # u component in radians v = wind$v_rad # v component in radians d = (180/pi)*(atan2(u,v)) td = as.matrix(d + 180) df = cbind(wind, d, td) > df u_ms v_ms u_rad v_rad d td 1 -3.71100 -1.47100 -0.064769155 -0.02567379 -111.6228 68.37716 2 -2.24170 -1.61180 -0.039125038 -0.02813121 -125.7164 54.28357 3 -1.81880 -1.66130 -0.031744042 -0.02899515 -132.4087 47.59129 4 -1.61640 -1.70370 -0.028211496 -0.02973517 -136.5062 43.49379 5 -1.39410 -1.73880 -0.024331630 -0.03034778 -141.2788 38.72124 6 -1.06820 -1.87480 -0.018643603 -0.03272143 -150.3269 29.67308 7 -0.57611 -1.83590 -0.010055014 -0.03204249 -162.5780 17.42199 8 -1.56980 -1.67660 -0.027398173 -0.02926218 -136.8842 43.11576 9 -1.49760 -1.69940 -0.026138045 -0.02966012 -138.6118 41.38819 10 -1.35370 -1.75050 -0.023626517 -0.03055198 -142.2844 37.71557 11 -1.09010 -1.49470 -0.019025830 -0.02608743 -143.8963 36.10365 12 -0.60403 -0.96283 -0.010542310 -0.01680455 -147.8980 32.10204 13 -0.70812 -1.11940 -0.012359023 -0.01953721 -147.6830 32.31699 14 -0.49045 -0.68490 -0.008559966 -0.01195376 -144.3939 35.60607 15 -0.39849 -0.78470 -0.006954961 -0.01369560 -153.0774 26.92258 16 0.17875 -0.80349 0.003119775 -0.01402354 167.4578 347.45783 17 0.48356 -0.19352 0.008439712 -0.00337756 111.8112 291.81121 18 1.50820 -0.97815 0.026323050 -0.01707193 122.9656 302.96561 19 1.42190 -1.08350 0.024816831 -0.01891064 127.3077 307.30771 20 2.58810 -0.81666 0.045170857 -0.01425340 107.5128 287.51279 ``` I would appreciate any advice on whether my method is correct, and if not how I could correctly obtain the desired wind direction values. While Calculating wind direction from U and V components of the wind using lapply or ifelse was helpful, the code did work with my data, and I am sure that there is an easier away to obtain wind direction. Many thanks!

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