Example #1
0
    def test_run_total_column_water_vapour(self):
        self.dataset = xr.Dataset()

        data = DefaultData.create_default_array_3d(3,
                                                   3,
                                                   11,
                                                   np.float32,
                                                   fill_value=np.NaN)
        data[0, :, :] = 11.52932
        data[1, :, :] = 11.529235
        data[2, :, :] = 11.52744
        self.dataset["amsre.nwp.log_surface_pressure"] = Variable(
            ["matchup_count", "ny", "nx"], data)

        data = DefaultData.create_default_array_4d(3,
                                                   3,
                                                   60,
                                                   11,
                                                   np.float32,
                                                   fill_value=np.NaN)
        data[0, :, 1, 1] = np.float32(
            np.array([
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                1.3609621E-8, 3.7061102E-7, 4.273528E-6, 2.6397798E-5,
                3.5652188E-6, 1.5417224E-4, 1.9648654E-4, 9.139678E-5,
                8.232285E-6, 6.5089694E-7, 4.0974975E-9, 0.0
            ]))
        data[1, :, 1, 1] = np.float32(
            np.array([
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                0.0, 1.0075588E-7, 1.054102E-6, 1.1424428E-5, 2.2602183E-6,
                1.546818E-4, 1.9482679E-4, 8.667531E-5, 4.7594845E-6,
                2.708914E-9, 0.0, 0.0
            ]))
        data[2, :, 1, 1] = np.float32(
            np.array([
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
                2.7519864E-9, 4.7594305E-8, 1.3165399E-6, 1.2988783E-4,
                8.855922E-6, 3.5680281E-7, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
            ]))
        self.dataset["amsre.nwp.cloud_liquid_water"] = Variable(
            ["matchup_count", "cloud_layers", "ny", "nx"], data)

        prep_data = self.preprocessor.run(self.dataset)
        variable = prep_data.variables["amsre.nwp.total_column_liquid_water"]
        self.assertEqual((11, ), variable.shape)
        self.assertAlmostEqual(0.064784802, variable.data[0], 8)
        self.assertAlmostEqual(0.059696566, variable.data[1], 8)
        self.assertAlmostEqual(0.028990015, variable.data[2], 8)
Example #2
0
    def setUp(self):
        self.preprocessor = Preprocessor()

        self.dataset = xr.Dataset()
        data = DefaultData.create_default_array_3d(5, 5, 11, np.int8)
        self.dataset["amsre.nwp.log_surface_pressure"] = Variable(
            ["macwenameifdifferentlyhere", "ny_test", "nx_test"], data)
        data = DefaultData.create_default_array_4d(5,
                                                   5,
                                                   60,
                                                   11,
                                                   np.float32,
                                                   fill_value=np.NaN)
        self.dataset["amsre.nwp.cloud_liquid_water"] = Variable([
            "macwenameifdifferentlyhere", "cloud_layers", "ny_test", "nx_test"
        ], data)