Data access function

Data retrieval

`ecfs()`	Retrieves data from ECFS
`flexpart_prepare()`	Retrieves and prepares data for a FLEXPART simulation
`flextra_prepare()`	Retrieves and prepares data for a FLEXTRA simulation
`met3d_prepare()`	Retrieves and prepare GRIB data for Met3D
`retrieve()`	Retrieves data from MARS
`stvl()`	Retrieves point data from the STVL database (ECMWF only)
`vapor_prepare()`	Prepares and visualises GRIB data in Vapor
`wmsclient()`	Web Map Service (WMS) client

Data conversion

`geo_to_grib()`	Converts `Geopoints` data to GRIB
`geo_to_kml()`	Converts `Geopoints` data to KML
`grib_to_geo()`	Converts GRIB data into `Geopoints`

Filtering

`bufr_picker()`	Filters `Bufr` data with complex structure
`cleanfile()`	Removes unwanted header padding from GRIB and `Bufr` files
`obsfilter()`	Filters `Bufr` data
`odb_filter()`	Filters `Odb` data
`read()`	Filters and interpolates `Fieldset` data
`select()`	Filters `Fieldset` data by ecCodes keys with metadata indexing

Grib data

`base_date()`	Returns the base date(s) of a given `Fieldset`
`datainfo()`	Returns information on missing values in a `Fieldset`
`describe()`	Prints summary of the contents of a `Fieldset`
`duplicate()`	Duplicates a field N times
`fill_missing_values_ew()`	Fills missing values along the horizontal line
`find()`	Find locations of values in a `Fieldset`
`float()`	Converts int GRIB to float GRIB
`gfind()`	Finds values in field and returns the result as `Geopoints`
`grib_get()`	Reads GRIB headers using ecCodes keys
`grib_get_double()`	Reads GRIB headers using ecCodes keys
`grib_get_double_array()`	Reads GRIB headers using ecCodes keys
`grib_get_long()`	Reads GRIB headers using ecCodes keys
`grib_get_long_array()`	Reads GRIB headers using ecCodes keys
`grib_get_string()`	Reads GRIB headers using ecCodes keys
`grib_indexes()`	Returns list of indexes into the fields of the Fieldset
`grib_set()`	Writes GRIB headers using ecCodes keys
`grib_set_double()`	Writes GRIB headers using ecCodes keys
`grib_set_long()`	Writes GRIB headers using ecCodes keys
`grib_set_long_array()`	Writes GRIB headers using ecCodes keys
`grib_set_string()`	Writes GRIB headers using ecCodes keys
`gribsetbits()`	Sets GRIB packing bit width
`indexes()`	Builds a `Fieldset` containing each gridpoint’s indexed position in the given vector
`int()`	Integer part
`integer()`	Converts float GRIB to int GRIB
`lookup()`	Builds an output `Fieldset` using the values in the first as indices into the second
`ls()`	Dumps metadata for each message in a `Fieldset`
`sort()`	Sorts a `Fieldset`
`valid_date()`	Returns the valid date(s) of a given `Fieldset`
`values()`	Returns the values from a data object

Geopoints data

`columns()`	Returns column names from a `Geopoints` or `Odb`
`create_geo()`	Creates a new set of `Geopoints`
`create_geo_set()`	Creates a new `Geopoints` set
`db_info()`	Returns the database description from a `Geopoints`
`levels()`	Returns the levels from a `Geopoints`
`metadata()`	Returns metadata from a `Geopoints`
`polar_vector()`	Combines two 1-parameter `Geopoints` variables into polar vector style
`remove_duplicates()`	Removes duplicates from a `Geopoints`
`remove_missing_latlons()`	Removing missing lat/lons form a `Geopoints`
`remove_missing_values()`	Removes missing values from a `Geopoints`
`set_dates()`	Sets the date column in the `Geopoints` variable.
`set_latitudes()`	Sets the latitudes in a `Fieldset` or `Geopoints`
`set_levels()`	Sets the level column in a `Geopoints`
`set_longitudes()`	Sets the longitudes in a `Fieldset` or `Geopoints`
`set_metadata()`	Sets a `Geopoints` metadata from a definition
`set_stnids()`	Sets the stnid column in a `Geopoints`
`set_times()`	Sets the time column in a `Geopoints`
`set_value2s()`	Sets the value2 column in a `Geopoints`
`set_values()`	Sets the values in a `Fieldset` or `Geopoints`
`stnids()`	Returns thes tation ids from a `Geopoints`
`subsample()`	Filters the points of the first `Geopoints` that exist in the second one
`times()`	Returns the times from a `Geopoints`
`value2s()`	Returns the 2nd values column from a `Geopoints`
`value_columns()`	Returns a list of value column names for a `Geopoints`
`values()`	Returns the values from a data object
`xy_vector()`	Combines two 1-parameter `Geopoints` variables into u/v vector style

NetCDF data

`dimension_names()`	Returns a list of the `NetCdf`’s dimension names.
`dimensions()`	Returns a list of the `NetCdf`’s dimensions.
`netcdf_auto_rescale_values_to_fit_packed_type()`	Sets the behaviour of `NetCdf` value handling
`netcdf_auto_scale_values()`	Sets the behaviour of `NetCdf` value handling
`netcdf_auto_translate_times()`	Sets the behaviour of `NetCdf` value handling
`netcdf_preserve_missing_values()`	Sets the behaviour of `NetCdf` value handling
`value()`	Returns a value from the current `NetCdf` variable
`values()`	Returns the values from a data object
`variables()`	Returns the names of the variables in a `NetCdf`

Flextra and Flexpart

`flexpart_build_title()`	Generates title for plotting FLEXPART gridded output fields
`flexpart_convert_trajectory()`	Converts raw FLEXPART trajectory output to CSV
`flexpart_filter()`	Extracts fields from FLEXPART output GRIB files
`flexpart_prepare()`	Retrieves and prepares data for a FLEXPART simulation
`flexpart_release()`	Defines a FLEXPART release
`flexpart_run()`	Performs a FLEXPART simulation
`flexpart_total_column()`	Computes the sum/vertical integral of fields in a FLEXPART output GRIB file.
`flextra_group_get()`	Returns data for a FLEXTRA result group
`flextra_run()`	Performs a FLEXTRA simulation
`flextra_tr_get()`	Returns data for an individual FLEXTRA trajectory
`flextra_visualiser()`	Defines visualisation for FLEXTRA results

Table data

`metadata_keys()`	Returns a list of available meta data keys for the given table
`metadata_value()`	Returns the value of then given meta data key for a table
`name()`	Returns the name of the given table column.
`read_table()`	Reads a table file with parameters for parsing it.
`values()`	Returns the values from a data object

Single Column Model

`scm_run()`	Runs the Single Column Model
`scm_visualiser()`	Defines visualisation for SCM output

RTTOV

`rttov_run()`	Runs the RTTOV model
`rttov_visualiser()`	Defines visualisation for RTTOV model output