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# yaml-language-server: $schema=../workflow/tools/config.schema.json
description: |
Experiment with COSMO-1E emulators finetuned on COSMO-1E analysis
(KENDA-1) at 1km resolution.
dates:
start: 2020-01-01T12:00
end: 2020-01-10T00:00
frequency: 54h
runs:
- forecaster:
checkpoint: https://mlflow.ecmwf.int/#/experiments/367/runs/2174c939c8844555a52843b71219d425
label: Cosmo 1km + era5 N320, finetuned on cerra checkpoint, lam resolution 11
config: resources/inference/configs/sgm-forecaster-regional_fromtraining.yaml
steps: 0/120/6
inference_resources:
gpu: 4
tasks: 4
extra_requirements:
- git+https://github.com/ecmwf/anemoi-inference.git@0.6.3
- baseline:
label: COSMO-1E
root: /store_new/mch/msopr/ml/COSMO-1E
steps: 0/33/6
truth:
label: COSMO KENDA
root: /scratch/mch/fzanetta/data/anemoi/datasets/mch-co1e-an-archive-0p01-2019-2024-1h-v1-pl13.zarr
stratification:
regions:
- jura
- mittelland
- voralpen
- alpennordhang
- innerealpentaeler
- alpensuedseite
root: /scratch/mch/bhendj/regions/Prognoseregionen_LV95_20220517
thresholds:
TOT_PREC:
gt: [0.0, 0.001, 0.005]
U_10M:
gt: [2.5, 5.0, 10.0]
V_10M:
gt: [2.5, 5.0, 10.0]
T_2M:
lt: [273.15]
gt: [288.15, 298.15]
dashboard:
stratification:
# - init_hour
# - region
- season
locations:
output_root: output/
profile:
executor: slurm
global_resources:
gpus: 16
default_resources:
slurm_partition: "postproc"
cpus_per_task: 1
mem_mb_per_cpu: 1800
runtime: "1h"
gpus: 0
jobs: 50
batch_rules:
plot_forecast_frame: 32
score_maps:
params:
- T_2M
# - TD_2M
# - U_10M
# - V_10M
# - SP_10M
# - PS
# - PMSL
# - TOT_PREC
leadtimes: [6, 24]
# Or, to compute every available leadtime from runs+baselines:
# leadtimes: "all"
scores:
- BIAS
# - RMSE
# - MAE
regions:
- switzerland
# - centraleurope
seasons:
- all
# - DJF
# - MAM
# - JJA
# - SON
init_hours:
- all
# - "00"
# - "06"
# - "12"
# - "18"