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mixed_layer#

metpy.calc.mixed_layer(pressure, *args, height=None, bottom=None, depth=None, interpolate=True)[source]#

Mix variable(s) over a layer, yielding a mass-weighted average.

This function will integrate a data variable with respect to pressure and determine the average value using the mean value theorem.

Parameters:

  • pressure (array-like) – Atmospheric pressure profile

  • datavar (array-like) – Atmospheric variable measured at the given pressures

  • height (array-like, optional) – Atmospheric heights corresponding to the given pressures (default None)

  • bottom (pint.Quantity, optional) – The bottom of the layer as a pressure or height above the surface pressure (default None)

  • depth (pint.Quantity, optional) – The thickness of the layer as a pressure or height above the bottom of the layer (default 100 hPa)

  • interpolate (bool, optional) – Interpolate the top and bottom points if they are not in the given data (default True)

Returns:

pint.Quantity – The mixed value of the data variable

Examples

>>> from metpy.calc import dewpoint_from_relative_humidity, mixed_layer
>>> from metpy.units import units
>>> # pressure
>>> p = [1008., 1000., 950., 900., 850., 800., 750., 700., 650., 600.,
...      550., 500., 450., 400., 350., 300., 250., 200.,
...      175., 150., 125., 100., 80., 70., 60., 50.,
...      40., 30., 25., 20.] * units.hPa
>>> # temperature
>>> T = [29.3, 28.1, 23.5, 20.9, 18.4, 15.9, 13.1, 10.1, 6.7, 3.1,
...      -0.5, -4.5, -9.0, -14.8, -21.5, -29.7, -40.0, -52.4,
...      -59.2, -66.5, -74.1, -78.5, -76.0, -71.6, -66.7, -61.3,
...      -56.3, -51.7, -50.7, -47.5] * units.degC
>>> # relative humidity
>>> rh = [.85, .65, .36, .39, .82, .72, .75, .86, .65, .22, .52,
...       .66, .64, .20, .05, .75, .76, .45, .25, .48, .76, .88,
...       .56, .88, .39, .67, .15, .04, .94, .35] * units.dimensionless
>>> # calculate dewpoint
>>> Td = dewpoint_from_relative_humidity(T, rh)
>>> # find mixed layer T and Td of depth 50 hPa
>>> mixed_layer(p, T, Td, depth=50 * units.hPa)
[<Quantity(26.5798571, 'degree_Celsius')>, <Quantity(16.675935, 'degree_Celsius')>]

Notes

Only functions on 1D profiles (not higher-dimension vertical cross sections or grids). Since this function returns scalar values when given a profile, this will return Pint Quantities even when given xarray DataArray profiles.

Changed in version 1.0: Renamed p, heights parameters to pressure, height

Examples using metpy.calc.mixed_layer#

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