opendrift.readers.reader_netCDF_CF_generic

Attributes

logger

Classes

Reader

A reader for CF-compliant netCDF files. It can take a single file, a file pattern, a URL or an xarray Dataset.

Module Contents

opendrift.readers.reader_netCDF_CF_generic.logger

class opendrift.readers.reader_netCDF_CF_generic.Reader(filename=None, zarr_storage_options=None, name=None, proj4=None, standard_name_mapping={}, ensemble_member=None)[source]

Bases: opendrift.readers.basereader.StructuredReader, opendrift.readers.basereader.BaseReader

A reader for CF-compliant netCDF files. It can take a single file, a file pattern, a URL or an xarray Dataset.

Args:

param filename:: A single netCDF file, a pattern of files, or a xr.Dataset. The netCDF file can also be an URL to an OPeNDAP server.
type filename:: string, xr.Dataset (required).
param name:: Name of reader
type name:: string, optional
param proj4:: PROJ.4 string describing projection of data.
type proj4:: string, optional

Example:

from opendrift.readers.reader_netCDF_CF_generic import Reader
r = Reader("arome_subset_16Nov2015.nc")

Several files can be specified by using a pattern:

from opendrift.readers.reader_netCDF_CF_generic import Reader
r = Reader("*.nc")

An OPeNDAP URL can be used:

from opendrift.readers.reader_netCDF_CF_generic import Reader
r = Reader('https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc')

A xr.Dataset or a zarr dataset in an object store with auth can be used:

from opendrift.readers.reader_netCDF_CF_generic import Reader
r = Reader(ds, zarr_storage_options)

Common constructor for all readers

unitfactor = 1

realizations = None

ensemble_dimension = None

dimensions

variable_mapping

variables

get_variables(requested_variables, time=None, x=None, y=None, z=None, indrealization=None)[source]

Obtain a _block_ of values of the requested variables at all positions (x, y, z) closest to given time. These will be stored in opendrift.readers.interpolation.structured.ReaderBlock and accessed from there.

Arguments:

variables: list of variables.

time: datetime or None, time at which data are requested.

x, y: float or ndarrays; coordinates of requested points.

z: float or ndarray; vertical position (in meters, positive up)

Returns:

Dictionary

keywords: variables (string) values: 2D ndarray bounding x and y.