Data access function

Data retrieval

`ecfs()`	Retrieve data from ECFS
`flexpart_prepare()`	Retrieve and prepares data for a FLEXPART simulation
`flextra_prepare()`	Retrieve and prepares data for a FLEXTRA simulation
`met3d_prepare()`	Retrieve and prepare GRIB data for Met3D
`retrieve()`	Retrieve data from MARS
`stvl()`	Retrieve 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()`	Convert `Geopoints` data to GRIB
`geo_to_kml()`	Convert `Geopoints` data to KML
`grib_to_geo()`	Convert GRIB data into `Geopoints`

Filtering

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

Grib data

`base_date()`	Return the base date(s) of a given `Fieldset`
`datainfo()`	Return information on missing values in a `Fieldset`
`describe()`	Print summary of the contents of a `Fieldset`
`duplicate()`	Duplicate a field N times
`fill_missing_values_ew()`	Fills missing values along the horizontal line
`find()`	Find locations of values in a `Fieldset`
`float()`	Convert int GRIB to float GRIB
`gfind()`	Find values in field and returns the result as `Geopoints`
`grib_get()`	Read GRIB headers using ecCodes keys
`grib_get_double()`	Read GRIB headers using ecCodes keys
`grib_get_double_array()`	Read GRIB headers using ecCodes keys
`grib_get_long()`	Read GRIB headers using ecCodes keys
`grib_get_long_array()`	Read GRIB headers using ecCodes keys
`grib_get_string()`	Read GRIB headers using ecCodes keys
`grib_indexes()`	Return 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()`	Set GRIB packing bit width
`indexes()`	Build a `Fieldset` containing each gridpoint’s indexed position in the given vector
`int()`	Integer part
`integer()`	Convert float GRIB to int GRIB
`lookup()`	Build an output `Fieldset` using the values in the first as indices into the second
`ls()`	Dumps metadata for each message in a `Fieldset`
`sort()`	Sort a `Fieldset`
`valid_date()`	Return the valid date(s) of a given `Fieldset`
`values()`	Return the values from a data object

Geopoints data

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

NetCDF data

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

Flextra and Flexpart

`flexpart_build_title()`	Generate title for plotting FLEXPART gridded output fields
`flexpart_convert_trajectory()`	Convert raw FLEXPART trajectory output to CSV
`flexpart_filter()`	Extracts fields from FLEXPART output GRIB files
`flexpart_prepare()`	Retrieve and prepares data for a FLEXPART simulation
`flexpart_release()`	Define a FLEXPART release
`flexpart_run()`	Perform a FLEXPART simulation
`flexpart_total_column()`	Compute the sum/vertical integral of fields in a FLEXPART output GRIB file.
`flextra_group_get()`	Return data for a FLEXTRA result group
`flextra_run()`	Perform a FLEXTRA simulation
`flextra_tr_get()`	Return data for an individual FLEXTRA trajectory
`flextra_visualiser()`	Define visualisation for FLEXTRA results

Table data

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

Single Column Model

`scm_run()`	Run the Single Column Model
`scm_visualiser()`	Define visualisation for SCM output

RTTOV

`rttov_run()`	Run the RTTOV model
`rttov_visualiser()`	Define visualisation for RTTOV model output