Build an ERA5 Wildfire Atmospheric Drying Index Assessor
Model severe wildfire weather potential by querying ERA5 temperature and relative humidity pressure level grids. Detect persistent atmospheric drying windows to quantify parametric forest protection trigger uncertainty.
What you are building
The core problem, expected build, and operating context for this challenge.
Model severe wildfire weather potential by querying ERA5 temperature and relative humidity pressure level grids. Detect persistent atmospheric drying windows to quantify parametric forest protection trigger uncertainty.
Wildfire Parametric Underwriter
Formulate cdsapi retrieve parameters for ERA5 atmospheric temperature and relative humidity.
Ingest simulated pressure level grids and calculate Vapor Pressure Deficit (VPD) metrics.
Track cumulative days with extreme drying anomalies exceeding regional wildfire danger thresholds.
Evaluate trigger sensitivity and basis risk against synthetic timberland fire damage inventories.
Streamlit analytical app plotting time-series VPD curves, reanalysis grids, and trigger activations.
Execute cdsapi test retrieval scripts configured with simulated local NetCDF or GRIB files. Starter examples below are synthetic. They are not downloaded records.
Copernicus Climate Data Store client Specify ERA5 pressure-levels dataset parameters in cdsapi retrieve calls per README.
mlflow, cdsapi, xarray, scipy. MLflow tracks parametric model experiments, trigger threshold parameters, and basis risk metrics. Local computation environment with API access to hosted LLM for model explanation.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Constructs CDS API calls with pressure level and product type fields.
Calculates Vapor Pressure Deficit within 0.1 kPa numerical precision.
Tracks parametric index simulation metrics and run parameters in MLflow.
```json [ { "input": { "forest_tract_id": "TIMBER-OR-7", "vpd_threshold_kpa": 2.8, "min_consecutive_days": 5, "daily_vpd_series": [ 1.5, 2.9, 3.1, 3, 3.2, 3.4, 2.1, 1.8 ] }, "expected_output": { "forest_tract_id": "TIMBER-OR-7", "max_drying_streak_days": 5, "parametric_trigger_fired": true, "payout_tier_percentage": 75, "experiment_logged": true } }, { "input": { "forest_tract_id": "TIMBER-WA-3", "vpd_threshold_kpa": 2.8, "min_consecutive_days": 5, "daily_vpd_series": [ 2.9, 3, 2.2, 3.1, 3.2, 2.5 ] }, "expected_output": { "forest_tract_id": "TIMBER-WA-3", "max_drying_streak_days": 2, "parametric_trigger_fired": false, "payout_tier_percentage": 0, "experiment_logged": true } } ] ```
Index assessments serve only as actuarial simulations without initiating financial capital movements. Use mock external writes. Require human review before any real deployment.
Participation guide
Index assessments serve only as actuarial simulations without initiating financial capital movements. Use mock external writes and human review.
How work is evaluated
Constructs CDS API calls with pressure level and product type fields. Calculates Vapor Pressure Deficit within 0.1 kPa numerical precision. Tracks parametric index simulation metrics and run parameters in MLflow.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Formulate cdsapi retrieve parameters for ERA5 atmospheric temperature and relative humidity. Ingest simulated pressure level grids and calculate Vapor Pressure Deficit (VPD) metrics. Track cumulative days with extreme drying anomalies exceeding regional wildfire danger thresholds. Evaluate trigger sensitivity and basis risk against synthetic timberland fire damage inventories.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Constructs CDS API calls with pressure level and product type fields. Calculates Vapor Pressure Deficit within 0.1 kPa numerical precision. Tracks parametric index simulation metrics and run parameters in MLflow.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Streamlit analytical app plotting time-series VPD curves, reanalysis grids, and trigger activations.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Index assessments serve only as actuarial simulations without initiating financial capital movements.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Formulate cdsapi retrieve parameters for ERA5 atmospheric temperature and relative humidity.
Ingest simulated pressure level grids and calculate Vapor Pressure Deficit (VPD) metrics.
Track cumulative days with extreme drying anomalies exceeding regional wildfire danger thresholds.
Evaluate trigger sensitivity and basis risk against synthetic timberland fire damage inventories.
Reference links and supporting material
Execute cdsapi test retrieval scripts configured with simulated local NetCDF or GRIB files. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
MLflow
MLOps
Evaluated output
No output checks are configured.
- Formulate cdsapi retrieve parameters for ERA5 atmospheric temperature and relative humidity. Ingest simulat...
- Constructs CDS API calls with pressure level and product type fields. Calculates Vapor Pressure Deficit wit...
- Streamlit analytical app plotting time-series VPD curves, reanalysis grids, and trigger activations.
- 2 public reference cases
- 1 configured tool
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- MLflow · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.