Fluxes from csv-formatted point sources point_sources/std#
Description#
This plugin generates point sources from a given formatted csv file.
The file should be as follows:
datei;datef;lon;lat;alt;emis (kg/s)
202209260000; 202210020000; -15.41; 54.42; 0; 100
The expected format for dates is %Y%m%d%H%M.
Warning
The header line should be left as is given in the example above.
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.
- dummy_arg : str, optional, default “let’s say it’s not mandatory”
document here the argument
YAML template#
Please find below a template for a YAML configuration:
1flux:
2 plugin:
3 name: point_sources
4 version: std
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
13 dummy_arg: XXXXX # str
See also