blob: c0a19943d19a6d2514874964cd787ff2e3b0152e [file] [log] [blame]
{% set domain = models_info[0].domain %}
{% set instrument = obs_info.instrument %}
{% set variable = models_info[0].variable %}
{% set basename = [variable, instrument, domain, season]|join('_') %}
workdir: {{ [output_dir, domain, instrument, variable, season]|join('/') }}
output_netcdf_filename: {{ basename }}.nc
# (RCMES will temporally subset data between month_start and month_end.
# If average_each_year is True (False), seasonal mean in each year is (not) calculated and used for metrics calculation.)
time:
maximum_overlap_period: True
temporal_resolution: monthly
{% if season == "winter" %}
month_start: 12
month_end: 2
{% elif season == "summer" %}
month_start: 6
month_end: 8
{% else %}
month_start: 1
month_end: 12
{% endif %}
average_each_year: True
space:
boundary_type: CORDEX {{ domain[:3] }}
regrid:
regrid_on_reference: True
datasets:
- loader_name: local_split
name: {{ instrument }}
file_path: {{ obs_info.filename }}
variable_name: {{ obs_info.variable }}
{% for model_info in models_info %}
- loader_name: local_split
name: {{ model_info.model }}
file_path: {{ model_info.filename }}
variable_name: {{ model_info.variable }}
lat_name: lat
lon_name: lon
{% endfor %}
number_of_metrics_and_plots: 2
metrics1: Map_plot_bias_of_multiyear_climatology
plots1:
file_name: {{ basename }}_bias
metrics2: Taylor_diagram_spatial_pattern_of_multiyear_climatology
plots2:
file_name: {{ basename }}_taylor
use_subregions: False