Becker coastal fluxes becker/ocean#
Description#
Coastal and ocean CO2 sea-air exchange fluxes generated by Becker et al.
Input files are yearly NetCDF datasets with a time coordinate and
latitude/longitude grid variables. The time step is inferred
directly from the file (from the spacing of the time values), and the
horizontal domain is built as a single vertical level from the grid cell
centers.
Writing is not implemented for this plugin.
YAML arguments#
The following arguments are used to configure the plugin. pyCIF will return an exception at the initialization if mandatory arguments are not specified, or if any argument does not fit accepted values or type:
Optional arguments#
- dir : str, optional, default “”
Path to the corresponding component. This value is used if not provided in parameters
- file : str, optional, default “”
File format in the given directory. This value is used if not provided in parameters
- varname : str, optional, default “”
Variable name to use to read data filesinstead of the parameter name if different to the parameter name
- file_freq : str, optional, default “1YS”
Temporal frequency at which files are available
- split_freq : str, optional
Re-bucket this tracer’s fetched dates/files onto a fixed pandas-frequency grid (e.g.
'1D','1MS','1YS'), independently of the native frequency the files were found at (file_freq). This fixes the sub-simulation boundaries thatfromcontrolinherits for this tracer. For minimal memory usage, match it to the consuming model’s own periodicity: a finer value costs an extratime_interpolationbridge for no memory benefit, while a coarser value keeps the tracer’s data resident in memory across every one of the model’s sub-simulations it spans. See the ‘Splitting the temporal grid’ section on the observation operator page for the full mechanism and worked examples.
YAML template#
Please find below a template for a YAML configuration:
1flux:
2 plugin:
3 name: becker
4 version: ocean
5 type: flux
6
7 # Optional arguments
8 dir: XXXXX # str
9 file: XXXXX # str
10 varname: XXXXX # str
11 file_freq: XXXXX # str
12 split_freq: XXXXX # str
See also