WDCGG / std¶
Description¶
This plugin parses data as provided by the World Data Center for Greenhouse Gases (WDCGG).
One should first download files from the website interface into a given folder.
The parser then determine time zone, scale, etc. according to the header.
Warning
Headers in WDCGG data files are known to be not always fully consistent. Users are warned that un-expected results (time shifts, scale shifts, etc.) may occur depending on WDCGG release…
It is strongly recommended double-checking observations as generated from the WDCGG parser before using them in simulations.
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¶
default_unit: (optional): ppb
Default unit to use if not explicitly specified in each file
accepted type: str
default_duration: (optional): 1
Default duration in hours of single measurements to use if not explicitly specified in each file
accepted type: float
na_values: (optional): -999
Values to be considered as NaNs, hence to be excluded
accepted type: float
err_na_values: (optional): -999
Values for observational errors to be considered as NaNs, hence to be excluded
accepted type: float
measerr: (optional)
Minimum threshold for observation error. All errors smaller than this one will be replaced by the threshold
accepted type: float
filter_time_of_day: (optional)
List of hours of the day to keep
accepted type: list
Yaml template¶
Please find below a template for a Yaml configuration:
1obsparser:
2 plugin:
3 name: WDCGG
4 version: std
5 type: obsparser
6
7 # Optional arguments
8 default_unit: XXXXX # str
9 default_duration: XXXXX # float
10 na_values: XXXXX # float
11 err_na_values: XXXXX # float
12 measerr: XXXXX # float
13 filter_time_of_day: XXXXX # list
