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Challenge

Build a Coastal Port Windstorm Exposure Reconciler

Correlate maritime port asset schedules with ERA5 reanalysis wind velocity vectors. Calculate historical exceedance frequencies to evaluate parametric wind speed trigger ambiguity without making binding insurance determinations.

Data ScienceHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Correlate maritime port asset schedules with ERA5 reanalysis wind velocity vectors. Calculate historical exceedance frequencies to evaluate parametric wind speed trigger ambiguity without making binding insurance determinations.

Coastal Risk Analyst

Ingest asset geolocations alongside contract wind velocity thresholds.

Retrieve ERA5 10m u and v wind component grids via cdsapi.

Compute composite vector wind speeds across asset coordinates.

Generate a parametric trigger uncertainty scorecard for risk review.

CLI tool that accepts asset JSON files and outputs a markdown summary table with GeoJSON breach coordinates.

Fetch sample NetCDF or GRIB files using cdsapi test script patterns against ECMWF CDS test sandbox, or parse local synthetic ERA5 NetCDF files. Starter examples below are synthetic. They are not downloaded records.

Copernicus Climate Data Store client Utilizes the cdsapi Client retrieve interface targeting reanalysis-era5-single-levels variables u10 and v10 described in the Copernicus CDS documentation.

ray-serve, xarray, netcdf4. Ray Serve enables scalable parallel execution of geospatial grid extractions across multi-year reanalysis datasets. Local open weights LLM or hosted Claude API for summarizing trigger ambiguity notes from calculated exceedance tables.

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.

Computes horizontal wind speed using square root of u10 squared plus v10 squared.

Flags timestamps where simulated wind speed strictly exceeds threshold_m_s.

Emits an uncertainty score based on spatial variance across surrounding grid cells.

```json [ { "input": { "asset_id": "PORT-OAKLAND-01", "coords": [ -122.3, 37.8 ], "threshold_m_s": 28, "observations": [ { "time": "2023-01-05T12:00:00Z", "u10": 20, "v10": 21 }, { "time": "2023-01-05T18:00:00Z", "u10": 15, "v10": 12 } ] }, "expected_output": { "asset_id": "PORT-OAKLAND-01", "trigger_events": 1, "max_wind_m_s": 29, "status": "TRIGGER_EXCEEDED" } }, { "input": { "asset_id": "PORT-EMPTY-02", "coords": [ -122.3, 37.8 ], "threshold_m_s": 35, "observations": [] }, "expected_output": { "asset_id": "PORT-EMPTY-02", "trigger_events": 0, "max_wind_m_s": 0, "status": "NO_DATA" } } ] ```

Restricts outputs to exploratory parametric metrics and prohibits actual claim adjudication or policy payout instructions. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Restricts outputs to exploratory parametric metrics and prohibits actual claim adjudication or policy payout instructions. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Computes horizontal wind speed using square root of u10 squared plus v10 squared. Flags timestamps where simulated wind speed strictly exceeds threshold_m_s. Emits an uncertainty score based on spatial variance across surrounding grid cells.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Ingest asset geolocations alongside contract wind velocity thresholds. Retrieve ERA5 10m u and v wind component grids via cdsapi. Compute composite vector wind speeds across asset coordinates. Generate a parametric trigger uncertainty scorecard for risk review.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Computes horizontal wind speed using square root of u10 squared plus v10 squared. Flags timestamps where simulated wind speed strictly exceeds threshold_m_s. Emits an uncertainty score based on spatial variance across surrounding grid cells.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

CLI tool that accepts asset JSON files and outputs a markdown summary table with GeoJSON breach coordinates.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Restricts outputs to exploratory parametric metrics and prohibits actual claim adjudication or policy payout instructions.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Ingest asset geolocations alongside contract wind velocity thresholds.

  • Retrieve ERA5 10m u and v wind component grids via cdsapi.

  • Compute composite vector wind speeds across asset coordinates.

  • Generate a parametric trigger uncertainty scorecard for risk review.

Resources and assets

Reference links and supporting material

Dataset notes

Fetch sample NetCDF or GRIB files using cdsapi test script patterns against ECMWF CDS test sandbox, or parse local synthetic ERA5 NetCDF files. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Ray Serve

Action Space in the agent workflow.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest asset geolocations alongside contract wind velocity thresholds. Retrieve ERA5 10m u and v wind compo...
  • Computes horizontal wind speed using square root of u10 squared plus v10 squared. Flags timestamps where si...
  • CLI tool that accepts asset JSON files and outputs a markdown summary table with GeoJSON breach coordinates.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 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

Action Space
  • Ray Serve · 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.

Frequently Asked Questions about Build a Coastal Port Windstorm Exposure Reconciler