def test_basic(self):
"""Test that the wet bulb temperature integral returns a cube
with the expected name."""
wb_temp_int = WetBulbTemperatureIntegral().process(self.wet_bulb_temperature)
self.assertIsInstance(wb_temp_int, iris.cube.Cube)
self.assertEqual(wb_temp_int.name(), "wet_bulb_temperature_integral")
self.assertEqual(str(wb_temp_int.units), "K m")
def test_basic(self):
"""Test that the wet bulb temperature integral returns a cube
with the expected name."""
result = WetBulbTemperatureIntegral().process(
self.temperature_cube, self.relative_humidity_cube,
self.pressure_cube)
self.assertIsInstance(result, iris.cube.Cube)
self.assertEqual(result.name(), "wet_bulb_temperature_integral")
self.assertEqual(result.units, Unit('K m'))
def test_basic(self):
"""Test that the __repr__ returns the expected string."""
result = str(WetBulbTemperatureIntegral())
msg = ('<WetBulbTemperatureIntegral: <WetBulbTemperature: '
'precision: 0.005>, <Integration: coord_name_to_integrate: '
'height, start_point: None, end_point: None, '
'direction_of_integration: negative>>')
self.assertEqual(result, msg)
def test_data(self):
"""Test that the wet bulb temperature integral returns a cube
containing the expected data."""
expected_wb_int = np.array(
[[[0.0, 0.0, 608.1063]], [[0.0, 0.0, 912.1595]]], dtype=np.float32
)
wb_temp_int = WetBulbTemperatureIntegral().process(self.wet_bulb_temperature)
self.assertIsInstance(wb_temp_int, iris.cube.Cube)
self.assertArrayAlmostEqual(wb_temp_int.data, expected_wb_int)
def test_data(self):
"""Test that the wet bulb temperature integral returns a cube
containing the expected data."""
expected = np.array([[0.0, 0.0, 608.106507], [0.0, 0.0, 912.159761]])
result = WetBulbTemperatureIntegral().process(
self.temperature_cube, self.relative_humidity_cube,
self.pressure_cube)
self.assertIsInstance(result, iris.cube.Cube)
self.assertArrayAlmostEqual(result.data, expected)
def test_data(self):
"""Test that the wet bulb temperature integral returns a cube
containing the expected data."""
expected = np.array([[1831.500000, 2598.830545, 3339.606507],
[2747.250000, 3898.245818, 5009.409761]])
result = WetBulbTemperatureIntegral().process(
self.temperature_cube, self.relative_humidity_cube,
self.pressure_cube)
self.assertIsInstance(result, iris.cube.Cube)
self.assertArrayAlmostEqual(result.data, expected)
def test_data(self):
"""Test that the wet bulb temperature integral returns a cube
containing the expected data."""
expected_wb_int = np.array(
[[0.0, 0.0, 608.106507],
[0.0, 0.0, 912.159761]])
expected_wb_temp = np.array(
[[-90., -13.26694545, 60.81065074],
[-90., -13.26694545, 60.81065074],
[-90., -13.26694545, 60.81065074]])
wb_temp, wb_temp_int = WetBulbTemperatureIntegral().process(
self.temperature_cube, self.relative_humidity_cube,
self.pressure_cube)
self.assertIsInstance(wb_temp, iris.cube.Cube)
self.assertIsInstance(wb_temp_int, iris.cube.Cube)
self.assertArrayAlmostEqual(wb_temp_int.data, expected_wb_int)
self.assertArrayAlmostEqual(wb_temp.data, expected_wb_temp)
def process(wet_bulb_temperature: cli.inputcube):
"""Module to calculate wet bulb temperature integral.
Calculate the wet-bulb temperature integral using the input wet bulb
temperature data. The integral will be calculated at the height levels on
which the wet bulb temperatures are provided.
Args:
wet_bulb_temperature (iris.cube.Cube):
Cube of wet bulb temperatures on height levels.
Returns:
iris.cube.Cube:
Processed Cube of wet bulb integrals.
"""
from improver.psychrometric_calculations.psychrometric_calculations import (
WetBulbTemperatureIntegral, )
return WetBulbTemperatureIntegral()(wet_bulb_temperature)