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: execute: 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/vagudets/auto-s2s-outputs/ code_dir: ./