EDRLunnon

class rojak.turbulence.diagnostic.EDRLunnon(u_wind: DataArray, v_wind: DataArray, shear_deformation: DataArray, stretching_deformation: DataArray)

Bases: Diagnostic

EDR Lunnon CAT diagnostic

EDR Lunnon is a simplification of Roach’s EDR predictor by [GillBuchanan2014], it ignores the temperature term in Roach’s equation [Roach1970] and multiplies it by vertical wind shear squared (expressed in terms of change in pressure instead of altitude). It is defined as,

\[\varepsilon_{\text{Lunnon}} = \left[ \left( \frac{ \partial v }{ \partial p } \right)^{2} - \left( \frac{ \partial u }{ \partial p } \right)^{2} \right] D_{\text{st}} - \left( 2 \frac{ \partial u }{ \partial p } \frac{ \partial v }{ \partial p } \right) D_{\text{sh}}\]

Parameters:

• u_wind (DataArray) – Zonal wind speeds in m/s

• v_wind (DataArray) – Meridional wind speeds in m/s

• shear_deformation (DataArray) – Shear deformation in m/s

• stretching_deformation (DataArray) – Stretch deformation in m/s

__init__(u_wind: DataArray, v_wind: DataArray, shear_deformation: DataArray, stretching_deformation: DataArray) → None

Parameters:

• u_wind (DataArray)

• v_wind (DataArray)

• shear_deformation (DataArray)

• stretching_deformation (DataArray)

Return type:

None

Methods

__init__(u_wind, v_wind, shear_deformation, ...)

Attributes

computed_value
name