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Description:
Author: nperez
Info: ECVs Oper ESS ECMWF SEAS5 Seasonal Forecast recipe (monthly mean, tas)
Analysis:
Horizon: seasonal # Mandatory, str: either subseasonal, seasonal, or decadal
Variables:
name: tas
freq: monthly_mean
Datasets:
System:
name: ECMWF-SEAS5.1 # Mandatory, str: system5c3s system21_m1 system35c3s
Multimodel: no # Mandatory, bool: Either yes/true or no/false
Reference:
name: ERA5 # Mandatory, str: Reference codename. See docu.
Time:
sdate: '0601' ## MMDD
fcst_year: '2023' # Optional, int: Forecast year 'YYYY'
hcst_start: '1993' # Mandatory, int: Hindcast start year 'YYYY'
hcst_end: '2016' # Mandatory, int: Hindcast end year 'YYYY'
ftime_min: 1 # Mandatory, int: First leadtime time step in months
ftime_max: 6 # Mandatory, int: Last leadtime time step in months
Region:
latmin: 20 # Mandatory, int: minimum latitude
latmax: 80 # Mandatory, int: maximum latitude
lonmin: -20 # Mandatory, int: minimum longitude
lonmax: 40 # Mandatory, int: maximum longitude
Regrid:
method: bilinear # Mandatory, str: Interpolation method. See docu.
type: "to_system"
#type: /esarchive/scratch/nmilders/gitlab/git_clones/auto-s2s/conf/grid_description.txt #'r360x180' # Mandatory, str: to_system, to_reference, or CDO-accepted grid.
Workflow:
Anomalies:
compute: no
cross_validation: no
save: none
Calibration:
method: evmos # Mandatory, str: Calibration method. See docu.
cross_validation: yes
save: none
Skill:
metric: mean_bias EnsCorr rpss crpss bss10 bss90
save: 'all'
cross_validation: yes
Probabilities:
percentiles: [[1/3, 2/3], [1/10, 9/10]] # frac: Quantile thresholds.
save: 'all'
Indicators:
index: no
Visualization:
plots: skill_metrics forecast_ensemble_mean most_likely_terciles
multi_panel: no
mask_terciles: both
ncores: 4 # Optional, int: number of cores, defaults to 1
remove_NAs: # Optional, bool: Whether NAs are removed, defaults to FALSE
Output_format: scorecards
logo: yes
Run:
Loglevel: INFO
Terminal: TRUE
output_dir: /esarchive/scratch/nperez/cs_oper/
code_dir: /esarchive/scratch/nperez/git/s2s-suite/