ccl#

metpy.calc.ccl(pressure, temperature, dewpoint, height=None, mixed_layer_depth=None, which='top')[source]#

Calculate the convective condensation level (CCL) and convective temperature.

This function is implemented directly based on the definition of the CCL, as in [USAF1990], and finding where the ambient temperature profile intersects the line of constant mixing ratio starting at the surface, using the surface dewpoint or the average dewpoint of a shallow layer near the surface.

Parameters:
  • pressure (pint.Quantity) – Atmospheric pressure profile. This array must be from high to low pressure.

  • temperature (pint.Quantity) – Temperature at the levels given by pressure

  • dewpoint (pint.Quantity) – Dewpoint at the levels given by pressure

  • height (pint.Quantity, optional) – Atmospheric heights at the levels given by pressure. Only needed when specifying a mixed layer depth as a height.

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

  • which (str, optional) – Pick which CCL value to return; must be one of ‘top’, ‘bottom’, or ‘all’. ‘top’ returns the lowest-pressure CCL (default), ‘bottom’ returns the highest-pressure CCL, ‘all’ returns every CCL in a Pint.Quantity array.

Returns:

See also

lcl, lfc, el

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.

Examples

>>> import metpy.calc as mpcalc
>>> from metpy.units import units
>>> pressure = [993, 957, 925, 886, 850, 813, 798, 732, 716, 700] * units.mbar
>>> temperature = [34.6, 31.1, 27.8, 24.3, 21.4, 19.6, 18.7, 13, 13.5, 13] * units.degC
>>> dewpoint = [19.6, 18.7, 17.8, 16.3, 12.4, -0.4, -3.8, -6, -13.2, -11] * units.degC
>>> ccl_p, ccl_t, t_c = mpcalc.ccl(pressure, temperature, dewpoint)
>>> ccl_p, t_c
(<Quantity(758.348093, 'millibar')>, <Quantity(38.4336274, 'degree_Celsius')>)