LMDZ surface fluxes on icosahedral grid LMDZ/netcdf-dynamico#
Description#
Reads/writes LMDZ surface fluxes stored as NetCDF files on the DYNAMICO icosahedral (unstructured cell) grid.
The unstructured horizontal dimension is stored as cell in the NetCDF
files and mapped to pyCIF’s lon dimension (with a dummy single-element
lat dimension) when reading, and the reverse mapping is applied when
writing.
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 “”
Temporal frequency to fetch files
- 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.
Requirements#
The current plugin requires the present plugins to run properly:
Requirement name |
Requirement type |
Explicit definition |
Any valid |
Default name |
Default version |
|---|---|---|---|---|---|
domain |
False |
False |
LMDZ |
dynamico |
YAML template#
Please find below a template for a YAML configuration:
1flux:
2 plugin:
3 name: LMDZ
4 version: netcdf-dynamico
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