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I see many sources in atmospheric dynamics express the following:

$\frac{1}{\rho}(\nabla p) = \nabla_p \phi$

For example this source equation 10.

The reasoning given is that $\frac{1}{\rho}(\frac{\partial p}{\partial x})_z = (\frac{\partial \phi}{\partial x})_p$ and $\frac{1}{\rho}(\frac{\partial p}{\partial y})_z = (\frac{\partial \phi}{\partial y})_p$. (see equation 9 in my linked pdf).


While I agree with the above, shouldn't $\nabla_p \phi$ lie in a different plane that the $\nabla p$? The first should lie in the plane $p=const$ and the second should lie in the plane $z=const$.

Informally the $i$ and $j$ unit vectors should be different for these two gradients since we are in different coordinate systems. While I agree that the magnitudes attached to these gradients is indeed the same, the would be a bit tilted from each other?

I'm probably just missing something, and would appreciate some clarity, thank you.

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The first should lie in the plane 𝑝=𝑐𝑜𝑛𝑠𝑡 and the second should lie in the plane 𝑧=𝑐𝑜𝑛𝑠𝑡

Yes … the gradient of pressure is calculated on height planes while the gradient of Geopotential height is calculated on pressure plane.

Informally the 𝑖 and 𝑗 unit vectors should be different for these two gradients since we are in different coordinate systems.

No both are sharing the same horizontal coordinate system …

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  • $\begingroup$ The direction of the x coordinate system is orthogonal to the vertical vector so the horizontal coordinates are slightly different in terms of the direction they point in depending on the vertical coordinates. This is my understanding at least. $\endgroup$
    – jrudd
    Commented Aug 29, 2022 at 0:11
  • $\begingroup$ In both cases you are using the same Cartesian coordinate. To feel a change in the unit vector you have to use a coordinate different than the Cartesian $\endgroup$
    – Kernel
    Commented Aug 29, 2022 at 1:59
  • $\begingroup$ Also, note that the gradient used above is the horizontal gradient and the gradient direction depends on the tan of y/x see en.wikipedia.org/wiki/Image_gradient $\endgroup$
    – Kernel
    Commented Aug 29, 2022 at 2:19

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