TM5/std TM5/std#
Description#
Reads/writes TM5 emission NetCDF-4 files.
Fluxes are organized as nested NetCDF-4 groups per region
(glb600x400/glb300x200), species, and source category
(biomass-burning, rice, wetlands, other); read sums all
source categories for the active region. An additional read_adj function
(not part of the plugin’s read/write interface) reads TM5 adjoint
emission-factor files (adj_emissions.nc4).
Note
Two historical implementations coexist in read.py/write.py: an
original version by A. Berchet (read_AB/write_AB, kept for
reference, not wired into the plugin) and a rewritten, more defensive
version by J.C.A. van Peet (read/write), which is the one actually
used by the 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 “”
Temporal frequency to fetch files
- split_freq : str, optional
Force splitting the processing at a given frequency different to file_freq
- exp_conversion : optional, default False
Apply the exponential conversion if fluxes stored as non-linear variable
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 |
dummy |
std |
YAML template#
Please find below a template for a YAML configuration:
1flux:
2 plugin:
3 name: TM5
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 exp_conversion: XXXXX # any
See also