aws2cosipy

Reads the input data (model forcing) and writes the output to a netCDF file. It supports point models with create_1D_input and distributed simulations with create_2D_input.

The 1D input function works without a static file, in which the static variables are created.

Edit the configuration by supplying a valid .toml file - this includes lapse rates for both cases. See the sample utilities_config.toml for more information.

Usage:

From source: python -m cosipy.utilities.aws2cosipy.aws2cosipy -i <input> -o <output> -s <static> [-u <path>] [-b <date>] [-e <date>]

Entry point: cosipy-aws2cosipy -i <input> -o <output> -s <static> [-u <path>] [-b <date>] [-e <date>]

Options and arguments:

Required arguments:

-i, --input <path>

Path to .csv file with meteorological data.

-o, --output <path>

Path to the resulting COSIPY netCDF file.

-s, --static_file <path>

Path to static file with DEM, slope etc.

Optional arguments:

-u, --u <path>

Relative path to utilities’ configuration file.

-b, --start_date <int>

Start date.

-e, --end_date <int>

End date.

--xl <float>

Left longitude value of the subset.

--xr <float>

Right longitude value of the subset.

--yl <float>

Lower latitude value of the subset.

--yu <float>

Upper latitude value of the subset.

Functions

add_variable_along_latlon(ds, var, name, ...)	Add spatial data to a dataset.
add_variable_along_point(ds, var, name, ...)	Add point data to a dataset.
add_variable_along_timelatlon(ds, var, name, ...)	Add spatiotemporal data to a dataset.
add_variable_along_timelatlon_point(ds, var, ...)	Add spatiotemporal point data to a dataset.
check(field, max_bound, min_bound)	Check the validity of the input data.
check_data(dataset, dataframe)	Check data is within physically reasonable bounds.
check_for_nan(ds)
check_for_nan_point(ds)
check_temperature_bounds(temperature)
compute_scale_and_offset(min, max, n)
convert_to_numeric(series)	Convert series to numeric type.
create_1D_input(cs_file, cosipy_file, ...)	Create an input dataset from a csv file with input point data.
create_2D_input(cs_file, cosipy_file, ...[, ...])	Create a 2D input dataset from a .csv file.
get_pressure_bias(data, height)
get_time_slice(dataframe, start_date, end_date)
get_user_arguments(parser)	Get user arguments for converting AWS data.
get_variable_metadata(name)	Get metadata associated with a variable name.
load_config(module_name)	Load configuration for module.
main()
nansumwrapper(a, **kw_args)	Sum dataframe columns which contain NaNs.
raise_nan_error()	Raise error if NaNs are in the dataset.
read_input_file(input_path)	Read input data, parse dates, and convert to a dataframe.
set_bias(data, lapse_type[, altitude, limit])	Apply lapse rate to data.
set_dataset_coordinates(dataset, latitude, ...)
set_order_and_type(dataframe[, replace_pressure])	Set dataframe order and convert to numeric type.
set_relative_humidity_bounds(humidity)	Limit bounds for relative humidity.
set_variable_metadata()	Initialise variable names and units.
set_zero_field(time_index, lat_index, lon_index)	Initialise array and fill with zeros.
write_netcdf(dataset, output_path)