analysis.amwg_table module
- scripts.analysis.amwg_table.amwg_table(adf)[source]
Main function goes through series of steps: - load the variable data - Determine whether there are spatial dims; if yes, do global average (TODO: regional option) - Apply annual average (TODO: add seasonal here) - calculates the statistics
mean
sample size
standard deviation
standard error of the mean
5/95% confidence interval of the mean
linear trend
p-value of linear trend
puts statistics into a CSV file
generates simple HTML that can display the data
Description of needed inputs from ADF:
case_names -> Name(s) of CAM case provided by “cam_case_name” input_ts_locs -> Location(s) of CAM time series files provided by “cam_ts_loc” output_loc -> Location to write AMWG table files to, provided by “cam_diag_plot_loc” var_list -> List of CAM output variables provided by “diag_var_list” var_defaults -> Dict that has keys that are variable names and values that are plotting preferences/defaults.
and if doing a CAM baseline comparison:
baseline_name -> Name of CAM baseline case provided by “cam_case_name” input_ts_baseline -> Location of CAM baseline time series files provied by “cam_ts_loc”