RCMES/configuration_files/cordex_AF_prec_subregion_annual_cycle_time_series.yaml

workdir: ./
output_netcdf_filename: cordex_AF_prec_monthly_mean_1990-2007.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
    start_time: 1998-01-01
    end_time: 2007-12-31
    temporal_resolution: monthly
    month_start: 1
    month_end: 12
    average_each_year: False

space:
    min_lat: -45.76
    max_lat: 42.24
    min_lon: -24.64
    max_lon: 60.28

regrid:
    regrid_on_reference: False
    regrid_dlat: 0.44
    regrid_dlon: 0.44

datasets:
  - loader_name: rcmed
    name: CRU
    dataset_id: 10
    parameter_id: 37

  - loader_name: local
    file_path: ./data/config_training/AFRICA*pr.nc
    variable_name: pr

number_of_metrics_and_plots: 1

metrics1: Timeseries_plot_subregion_annual_cycle

plots1:
    file_name: cordex_AF_prec_subregion_annual_cycle_time_series
    subplots_array: !!python/tuple [7,3]

use_subregions: True

subregions:
#subregion name (R01, R02, R03,....) followed by an array of boundaries [south, north, west, east]
    R01:
      [29.0, 36.5, -10.0, 0.0]
    R02:
      [29, 37.5, 0, 10]
    R03:
      [25, 32.5, 10, 20]
    R04:
      [25, 32.5, 20, 33]
    R05:
      [12, 20.0, -19.3, -10.2]
    R06:
      [15, 25.0, 15, 30]
    R07:
      [7.3, 15,  -10, 10]
    R08:
      [5, 7.3,  -10, 10]
    R09:
      [6.9, 15, 33.9, 40]
    R10:
      [2.2, 11.8, 44.2, 51.8]
    R11:
      [0, 10, 10, 25]
    R12:
      [-10, 0, 10, 25]
    R13:
      [-15, 0, 30, 40]
    R14:
      [-27.9, -21.4, 13.6, 20]
    R15:
      [-35, -27.9, 13.6, 20]
    R16:
      [-35, -21.4, 20, 35.7]
    R17:
      [-25.8, -11.7, 43.2, 50.3]
    R18:
      [25, 35.0, 33, 40]
    R19:
      [28, 35, 45, 50]
    R20:
      [13, 20.0, 43, 50]
    R21:
      [20, 27.5, 50, 58]