Build a Drought Crop Parametric Trigger Validator
Validate agricultural drought parametric contracts by processing ERA5 reanalysis precipitation datasets. Verify threshold breaches against regional historical disaster declaration logs.
What you are building
The core problem, expected build, and operating context for this challenge.
Validate agricultural drought parametric contracts by processing ERA5 reanalysis precipitation datasets. Verify threshold breaches against regional historical disaster declaration logs.
Agricultural Microinsurance Designer
Formulate precipitation deficit parametric rules for regional crop growing periods.
Retrieve ERA5 accumulated precipitation time series via the Copernicus CDS API.
Correlate dry spells with OpenFEMA drought disaster declarations in target zones.
Generate a parametric trigger validation report with confidence metrics.
Interactive parameter simulator notebook with exportable PDF evaluation manifests.
Download sample precipitation data via cdsapi client or use local mock ERA5 monthly averages. Starter examples below are synthetic. They are not downloaded records.
Copernicus Climate Data Store client Employs CDS API retrieve methods to fetch ERA5 reanalysis single levels for total precipitation.
optuna, cdsapi, pandas, scipy. Optuna optimizes parametric threshold levels to balance basis risk and trigger sensitivity across historical dry seasons. Local statistical Python runtime; optional LLM for narrative summary generation.
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.
Correctly ingests daily precipitation records from ERA5 schemas.
Identifies rolling drought windows falling below critical millimeter thresholds.
Produces basis risk comparison scores against historical loss benchmarks.
```json [ { "input": { "zone": "Midwest-Zone-A", "monthly_precip_mm": [ 12, 8.5, 14.2 ], "trigger_threshold_mm": 20 }, "expected_output": { "zone": "Midwest-Zone-A", "trigger_met": true, "cumulative_deficit_mm": 25.3, "audit_status": "TRIGGER_CONFIRMED" } }, { "input": { "zone": "Midwest-Zone-B", "monthly_precip_mm": [ 35, 42.1, 28 ], "trigger_threshold_mm": 20 }, "expected_output": { "zone": "Midwest-Zone-B", "trigger_met": false, "cumulative_deficit_mm": 0, "audit_status": "NO_TRIGGER" } } ] ```
Simulates parametric triggers for policy structuring; issues no live payouts or binding coverage commitments. Use mock external writes. Require human review before any real deployment.
Participation guide
Simulates parametric triggers for policy structuring; issues no live payouts or binding coverage commitments. Use mock external writes and human review.
How work is evaluated
Correctly ingests daily precipitation records from ERA5 schemas. Identifies rolling drought windows falling below critical millimeter thresholds. Produces basis risk comparison scores against historical loss benchmarks.
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 precipitation deficit parametric rules for regional crop growing periods. Retrieve ERA5 accumulated precipitation time series via the Copernicus CDS API. Correlate dry spells with OpenFEMA drought disaster declarations in target zones. Generate a parametric trigger validation report with confidence metrics.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Correctly ingests daily precipitation records from ERA5 schemas. Identifies rolling drought windows falling below critical millimeter thresholds. Produces basis risk comparison scores against historical loss benchmarks.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Interactive parameter simulator notebook with exportable PDF evaluation manifests.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Simulates parametric triggers for policy structuring; issues no live payouts or binding coverage commitments.
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 precipitation deficit parametric rules for regional crop growing periods.
Retrieve ERA5 accumulated precipitation time series via the Copernicus CDS API.
Correlate dry spells with OpenFEMA drought disaster declarations in target zones.
Generate a parametric trigger validation report with confidence metrics.
Reference links and supporting material
Download sample precipitation data via `cdsapi` client or use local mock ERA5 monthly averages. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
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Optuna
Hyperparameter Optimization
Evaluated output
No output checks are configured.
- Formulate precipitation deficit parametric rules for regional crop growing periods. Retrieve ERA5 accumulat...
- Correctly ingests daily precipitation records from ERA5 schemas. Identifies rolling drought windows falling...
- Interactive parameter simulator notebook with exportable PDF evaluation manifests.
- 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.
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Configured tools
- Optuna · 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
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Recipe freeze marker
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