Scientific Assessment and Uncertainty Quantification (UQ) for the Energy Indicator Application (DE340.15.1.3)
This repository provides Jupyter notebooks for assessing the scientific robustness and quantifying the uncertainty of wind energy indicators derived from Climate Digital Twin (Climate DT) simulations. These notebooks form part of Deliverable D15.1.3 within the DestinE project.
To evaluate how well the climate variables and indicators tailored to the wind energy sector from the Climate DT simulations capture the spatio-temporal characteristics of wind patterns, compared to reference data from ERA5.
-
Freeze run + Historical Ensembles
- Simulations: Freeze run (
a24r
) and 3-member historical ensemble - Period: 1990–2014 (25 years)
- Model: IFS-NEMO
- Resolution: Global, 10 km horizontal
- Simulations: Freeze run (
-
Freeze Run Control
- Simulation: Control run (
a267
) - Period: 1990–2019 (30 years)
- Model: IFS-NEMO
- Resolution: Global, 10 km horizontal
- Simulation: Control run (
-
E-suite control simulation (o005)
- Period: 1990–1994 (5 years)
- Model: IFS-NEMO
- Domain: North Sea (5°W–10°E, 50°N–60°N)
- Resolution: 5 km horizontal
- Indicator: Capacity Factor class -S
-
O-suite control simulation (o007)
- Period:1990–2005 (15 years)
- Model: IFS-NEMO
- Domain: North Sea (5°W–10°E, 50°N–60°N)
- Resolution: 5 km horizontal
- Indicator: Capacity Factor class -S
- Comparison with ERA5
- Mean Bias (MB)
- Root Mean Square Error (RMSE)
- Pairwise differences between each ensemble member and the freeze run
- Climate DT simulations are regridded to the ERA5 grid using a conservative regridding technique to ensure compatibility.
- Primary variable of interest: wind speed at 100m and capacity factor
Reference:
Ramon et al. (2019), Conservative regridding technique for climate fields
🔗 https://doi.org/10.1002/qj.3616
-
Energy_indicator_UQ_global_ws_DE34015_1_3_Notebook_1.ipynb
→ Global wind speed UQ and comparison across members -
Energy_indicator_UQ_north_sea_cf_s_DE340_D15_1_3_Notebook_2.ipynb
→ North Sea capacity factor assessment and diagnostics
- Email: [email protected]
- Responsible: Sushovan Ghosh (Barcelona Supercomputing Center)
To be added — choose based on BSC/DestinE policy (e.g., MIT, Apache 2.0).