\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercises 1"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Using the function `pressure_to_height_std`, can you calculate the height of the 700 millibar level assuming a standard atmosphere?"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"What is the `windchill` when the temperature is 263K and the winds are blowing at 20 m/s? (Bonus points: find it in Fahrenheit)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Using only values from `metpy.constants`, what is the dry adiabatic lapse rate? ($\\Gamma_d = \\frac{g}{C_{pd}}$)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercises 2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Heat index is only defined for temperatures >= 80F and relative humidity values >= 40%. Using the data generated below, use boolean indexing to extract the data where heat index has a valid value."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Our import for numpy and metpy\n",
"import numpy as np\n",
"from metpy.units import units\n",
"\n",
"# Here's the \"data\"\n",
"np.random.seed(19990503) # Make sure we all have the same data\n",
"temp = (20 * np.cos(np.linspace(0, 2 * np.pi, 100)) +\n",
" 80 + 2 * np.random.randn(100)) * units.degF\n",
"rh = (np.abs(20 * np.cos(np.linspace(0, 4 * np.pi, 100)) +\n",
" 50 + 5 * np.random.randn(100))) * units('percent')\n",
"\n",
"\n",
"# Create a mask for the two conditions described above\n",
"# good_heat_index = \n",
"\n",
"\n",
"\n",
"# Use this mask to grab the temperature and relative humidity values that together\n",
"# will give good heat index values\n",
"# temp[] ?\n",
"\n",
"\n",
"# BONUS POINTS: Plot only the data where heat index is defined by\n",
"# inverting the mask (using `~mask`) and setting invalid values to np.nan"
]
}
],
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