opendrift.readers
Readers are responsible for providing Opendrift with data about the enviornment of the drifting particles or elements.
All readers descend from basereader.BaseReader
. A reader generally also descends from one of the few general classes of readers. When writing a new reader consider which one fits your input data best:
The ContinuousReader is suited for data that can be defined at any point within the domain, or if the reader does its own interpolation internally. E.g. a synthetic eddy
, or a constant
. The StructuredReader aids in interpolation when creating a reader of data on a regular grid
, while the UnstructuredReader provides the basics for irregularily gridded data
(e.g. finite volume models).
See also
See the reader-types or reader-implementations for more details.
See basereader.BaseReader
for how readers work internally.
Submodules
- opendrift.readers.basereader
- opendrift.readers.interpolation
- opendrift.readers.operators
- opendrift.readers.reader_ArtificialOceanEddy
- opendrift.readers.reader_ROMS_native
- opendrift.readers.reader_constant
- opendrift.readers.reader_constant_2d
- opendrift.readers.reader_copernicusmarine
- opendrift.readers.reader_current_from_drifter
- opendrift.readers.reader_current_from_track
- opendrift.readers.reader_double_gyre
- opendrift.readers.reader_failing
- opendrift.readers.reader_global_landmask
- opendrift.readers.reader_grib
- opendrift.readers.reader_grib2
- opendrift.readers.reader_lazy
- opendrift.readers.reader_netCDF_CF_generic
- opendrift.readers.reader_netCDF_CF_unstructured
- opendrift.readers.reader_oscillating
- opendrift.readers.reader_schism_native
- opendrift.readers.reader_shape
- opendrift.readers.reader_telemac_selafin
- opendrift.readers.reader_timeseries
- opendrift.readers.roppy
Attributes
Functions
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Return a list of readers that are possible candidates for a given URL, filename or product ID |
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Make readers from URLs or paths to datasets |
Package Contents
- opendrift.readers.logger
- opendrift.readers.open_mfdataset_overlap(url_base, time_series=None, start_time=None, end_time=None, freq=None, timedim='time')[source]