Workflow Examples¶
This section provides complete YAML configuration examples for common verification workflows in MDT.
Multi-Model Evaluation vs. AERONET¶
This example demonstrates how to compare two different aerosol products (MERRA-2 and ICAP-MME) against AERONET ground observations. It also includes a direct model-to-model bias analysis.
Features¶
- Loading gridded model data (MERRA-2 and ICAP).
- Loading point observations (AERONET).
- Pairing models to observation sites using interpolation.
- Direct model-to-model pairing via regridding.
- Computing RMSE and Mean Bias (MB).
- Generating spatial comparison and bias maps.
YAML Configuration¶
# docs/examples/merra2_icap_aeronet_comparison.yaml
data:
merra2_model:
type: "merra2"
kwargs:
dates: "2023-01-01"
product: "inst1_2d_asm_Nx"
icap_mme_model:
type: "icap_mme"
kwargs:
date: "2023-01-01"
product: "MMC"
data_var: "modeaod550"
aeronet_obs:
type: "aeronet"
kwargs:
dates: "2023-01-01"
pairing:
# Model vs Obs (Interpolation to AERONET sites)
pair_merra2_obs:
source: "merra2_model"
target: "aeronet_obs"
method: "nearest"
pair_icap_obs:
source: "icap_mme_model"
target: "aeronet_obs"
method: "nearest"
# Model vs Model (Regrid MERRA-2 to ICAP-MME grid for bias plot)
pair_merra2_icap:
source: "merra2_model"
target: "icap_mme_model"
method: "bilinear"
kwargs:
merge: true
suffix: "_icap"
combine:
obs_comparison:
sources:
- pair_merra2_obs
- pair_icap_obs
dim: "model"
statistics:
# Stats against AERONET
obs_stats:
input: "obs_comparison"
metrics: ["rmse", "mb", "corr"]
kwargs:
obs_var: "aod_550nm"
mod_var: "AOD"
# Direct Model Bias (Gridded)
model_bias_stats:
input: "pair_merra2_icap"
metrics: ["mb"]
kwargs:
obs_var: "modeaod550" # ICAP acts as reference
mod_var: "TOTEXTTAU"
plots:
# Map of model performance at observation sites
obs_spatial_map:
input: "obs_comparison"
type: "spatial"
kwargs:
savename: "obs_comparison_map.png"
# Spatial bias map: MERRA-2 vs ICAP-MME
model_bias_map:
input: "model_bias_stats"
type: "spatial"
kwargs:
savename: "merra2_vs_icap_bias.png"
cmap: "RdBu_r"
execution:
default_cluster: "local"
clusters:
local:
mode: "local"
workers: 4