Return the cloud top temperature. This functions extracts the necessary variables from the NetCDF file object in order to perform the calculation. Args: wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \ iterable): WRF-ARW NetCDF data as a :
(wrfin, timeidx=0, method="cat",
squeeze=True, cache=None, meta=True, _key=None,
fill_nocloud=False, missing=default_fill(np.float64),
opt_thresh=1.0, units="degC")
| 17 | MemoryOrder="XY") |
| 18 | @convert_units("temp", "c") |
| 19 | def get_ctt(wrfin, timeidx=0, method="cat", |
| 20 | squeeze=True, cache=None, meta=True, _key=None, |
| 21 | fill_nocloud=False, missing=default_fill(np.float64), |
| 22 | opt_thresh=1.0, units="degC"): |
| 23 | """Return the cloud top temperature. |
| 24 | |
| 25 | This functions extracts the necessary variables from the NetCDF file |
| 26 | object in order to perform the calculation. |
| 27 | |
| 28 | Args: |
| 29 | |
| 30 | wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \ |
| 31 | iterable): WRF-ARW NetCDF |
| 32 | data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile` |
| 33 | or an iterable sequence of the aforementioned types. |
| 34 | |
| 35 | timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`, optional): The |
| 36 | desired time index. This value can be a positive integer, |
| 37 | negative integer, or |
| 38 | :data:`wrf.ALL_TIMES` (an alias for None) to return |
| 39 | all times in the file or sequence. The default is 0. |
| 40 | |
| 41 | method (:obj:`str`, optional): The aggregation method to use for |
| 42 | sequences. Must be either 'cat' or 'join'. |
| 43 | 'cat' combines the data along the Time dimension. |
| 44 | 'join' creates a new dimension for the file index. |
| 45 | The default is 'cat'. |
| 46 | |
| 47 | squeeze (:obj:`bool`, optional): Set to False to prevent dimensions |
| 48 | with a size of 1 from being automatically removed from the shape |
| 49 | of the output. Default is True. |
| 50 | |
| 51 | cache (:obj:`dict`, optional): A dictionary of (varname, ndarray) |
| 52 | that can be used to supply pre-extracted NetCDF variables to the |
| 53 | computational routines. It is primarily used for internal |
| 54 | purposes, but can also be used to improve performance by |
| 55 | eliminating the need to repeatedly extract the same variables |
| 56 | used in multiple diagnostics calculations, particularly when using |
| 57 | large sequences of files. |
| 58 | Default is None. |
| 59 | |
| 60 | meta (:obj:`bool`, optional): Set to False to disable metadata and |
| 61 | return :class:`numpy.ndarray` instead of |
| 62 | :class:`xarray.DataArray`. Default is True. |
| 63 | |
| 64 | _key (:obj:`int`, optional): A caching key. This is used for internal |
| 65 | purposes only. Default is None. |
| 66 | |
| 67 | fill_nocloud (:obj:`bool`, optional): Set to True to use fill values in |
| 68 | regions where clouds are not detected (optical depth less than 1). |
| 69 | Otherwise, the output will contain the surface temperature for |
| 70 | areas without clouds. Default is False. |
| 71 | |
| 72 | missing (:obj:`float`, optional): The fill value to use for areas |
| 73 | where no clouds are detected. Only used if *fill_nocloud* is |
| 74 | True. Default is |
| 75 | :data:`wrf.default_fill(numpy.float64)`. |
| 76 |
nothing calls this directly
no test coverage detected