wavy.model_readers
==================

.. py:module:: wavy.model_readers

.. autoapi-nested-parse::

   The main task of this module is to read model files
   files for further use.



Attributes
----------

.. autoapisummary::

   wavy.model_readers.model_dict
   wavy.model_readers.variable_def


Functions
---------

.. autoapisummary::

   wavy.model_readers.read_ww3_4km
   wavy.model_readers.read_meps
   wavy.model_readers.read_noresm_making_waves
   wavy.model_readers.read_remote_ncfiles_aggregated_credentials
   wavy.model_readers.read_single_field_lru
   wavy.model_readers.read_field
   wavy.model_readers.read_single_field_lru_ecwam
   wavy.model_readers.read_ecwam
   wavy.model_readers.read_ww3_unstructured_to_grid
   wavy.model_readers.read_era
   wavy.model_readers.read_era5
   wavy.model_readers.read_NORA3_wind


Module Contents
---------------

.. py:data:: model_dict

.. py:data:: variable_def

.. py:function:: read_ww3_4km(**kwargs)

.. py:function:: read_meps(**kwargs)

.. py:function:: read_noresm_making_waves(**kwargs)

.. py:function:: read_remote_ncfiles_aggregated_credentials(**kwargs)

   Wrapping function to read remote opendap satellite netcdf files
   that use credentials


.. py:function:: read_single_field_lru(filestr, varname, lonsname, latsname, timename)

.. py:function:: read_field(**kwargs)

.. py:function:: read_single_field_lru_ecwam(filestr, varname, lonsname, latsname, timename)

.. py:function:: read_ecwam(**kwargs)

.. py:function:: read_ww3_unstructured_to_grid(**kwargs)

.. py:function:: read_era(**kwargs)

.. py:function:: read_era5(**kwargs)

   Reads and concatenates ERA data from a list of paths, based on specific forecast dates.

   Parameters:
       pathlst (list): List of file paths to read datasets from.
       nID (str): Model identifier for accessing metadata (`model_dict`).
       fc_dates (list): List of forecast dates to slice the datasets.
       varname (str or list): Variable(s) to extract from the datasets.

   Returns:
       xarray.Dataset: Concatenated dataset containing the selected variables and slices.


.. py:function:: read_NORA3_wind(**kwargs)