Build a Reanalysis Heatwave Parametric Trigger Simulator
Simulate parametric heat index trigger performance for agricultural contracts using ERA5 reanalysis thermal datasets. Model historical trigger frequencies and calculate simulated seasonal payouts.
What you are building
The core problem, expected build, and operating context for this challenge.
Simulate parametric heat index trigger performance for agricultural contracts using ERA5 reanalysis thermal datasets. Model historical trigger frequencies and calculate simulated seasonal payouts.
Parametric Product Structurer
Define parametric trigger rules with temperature thresholds and duration days.
Retrieve ERA5 daily temperature series via Copernicus CDS client scripts.
Calculate continuous degree-day exceedances over contract active windows.
Output simulated trigger events with uncertainty intervals for actuary review.
Jupyter Notebook interface with parametric trigger configuration and exceedance plot charts.
Execute CDS API queries for ERA5 reanalysis pressure levels or use cached mock NetCDF/GRIB temperature records. Starter examples below are synthetic. They are not downloaded records.
Copernicus Climate Data Store client Leverages the CDS API retrieval parameter structure (variable, product_type, date, format) for reanalysis-era5 datasets.
mlflow, cdsapi, xarray, numpy. MLflow tracks simulation run parameters, threshold variants, and payout distribution metrics across trial batches. Local numeric compute environment with optional local LLM to summarize simulation run parameters.
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.
Properly constructs CDS API retrieval request dictionaries.
Identifies consecutive days exceeding the specified parametric trigger threshold.
Calculates simulated payout percentage without creating real policy liabilities.
```json [ { "input": { "contract_id": "PAR-HEAT-2024", "threshold_temp_k": 308.15, "duration_days": 3, "series": [ 309, 308.5, 309.2, 305 ] }, "expected_output": { "contract_id": "PAR-HEAT-2024", "triggered": true, "consecutive_exceedance": 3, "simulated_payout_pct": 100 } }, { "input": { "contract_id": "PAR-HEAT-2025", "threshold_temp_k": 310, "duration_days": 3, "series": [ 309, 308.5, 307, 306 ] }, "expected_output": { "contract_id": "PAR-HEAT-2025", "triggered": false, "consecutive_exceedance": 0, "simulated_payout_pct": 0 } } ] ```
Outputs simulated parametric scenarios only; explicitly disclaims commercial policy underwriting validity. Use mock external writes. Require human review before any real deployment.
Participation guide
Outputs simulated parametric scenarios only; explicitly disclaims commercial policy underwriting validity. Use mock external writes and human review.
How work is evaluated
Properly constructs CDS API retrieval request dictionaries. Identifies consecutive days exceeding the specified parametric trigger threshold. Calculates simulated payout percentage without creating real policy liabilities.
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
Define parametric trigger rules with temperature thresholds and duration days. Retrieve ERA5 daily temperature series via Copernicus CDS client scripts. Calculate continuous degree-day exceedances over contract active windows. Output simulated trigger events with uncertainty intervals for actuary review.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Properly constructs CDS API retrieval request dictionaries. Identifies consecutive days exceeding the specified parametric trigger threshold. Calculates simulated payout percentage without creating real policy liabilities.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Jupyter Notebook interface with parametric trigger configuration and exceedance plot charts.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Outputs simulated parametric scenarios only; explicitly disclaims commercial policy underwriting validity.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Define parametric trigger rules with temperature thresholds and duration days.
Retrieve ERA5 daily temperature series via Copernicus CDS client scripts.
Calculate continuous degree-day exceedances over contract active windows.
Output simulated trigger events with uncertainty intervals for actuary review.
Reference links and supporting material
Execute CDS API queries for ERA5 reanalysis pressure levels or use cached mock NetCDF/GRIB temperature records. 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.
- Define parametric trigger rules with temperature thresholds and duration days. Retrieve ERA5 daily temperat...
- Properly constructs CDS API retrieval request dictionaries. Identifies consecutive days exceeding the speci...
- Jupyter Notebook interface with parametric trigger configuration and exceedance plot charts.
- 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.