ageostrophic_wind¶

metpy.calc.ageostrophic_wind(heights, f, dx, dy, u, v, dim_order='yx')[source]¶

Calculate the ageostrophic wind given from the heights or geopotential.

Parameters:

heights ((M, N) ndarray) – The height field.
f (array_like) – The coriolis parameter. This can be a scalar to be applied everywhere or an array of values.
dx (float or ndarray) – The grid spacing(s) in the x-direction. If an array, there should be one item less than the size of heights along the applicable axis.
dy (float or ndarray) – The grid spacing(s) in the y-direction. If an array, there should be one item less than the size of heights along the applicable axis.
u ((M, N) ndarray) – The u wind field.
v ((M, N) ndarray) – The u wind field.
dim_order (str or None, optional) – The ordering of dimensions in passed in arrays. Can be one of None, 'xy', or 'yx'. 'xy' indicates that the dimension corresponding to x is the leading dimension, followed by y. 'yx' indicates that x is the last dimension, preceded by y. None indicates that the default ordering should be assumed, which is ‘yx’. Can only be passed as a keyword argument, i.e. func(…, dim_order=’xy’).

Returns:

A 2-item tuple of arrays – A tuple of the u-component and v-component of the ageostrophic wind.

Notes

If inputs have more than two dimensions, they are assumed to have either leading dimensions of (x, y) or trailing dimensions of (y, x), depending on the value of dim_order.