Weather Routing Benchmarks
A joint academic initiative providing high-fidelity environmental datasets and validation protocols for maritime weather-routing algorithms. With results published every year.
Benchmark 001
Just-in-Time Route Optimization for a Wind-Assisted Vessel
Participants build algorithms that route a commercial vessel equipped with rigid wing-sails across the North Atlantic. The goal is to minimize carbon intensity while honouring a strict just-in-time arrival window across variable winter weather conditions.
View on CodabenchCurrent Standings
Ranked by total energy consumption (MWh, lower is better). WPS = with wingsails.
| Rank | Participant | Total (MWh) | Atlantic Opt | Atlantic GC | Pacific Opt | Pacific GC | Val. Errors | Submitted | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| WPS | noWPS | WPS | noWPS | WPS | noWPS | WPS | noWPS | |||||
| 01 | drprecious | 582,099.80 | 52,188.28 | 76,532.83 | 92,774.49 | 113,655.94 | 25,040.76 | 71,887.84 | 57,799.91 | 92,219.75 | 348 | 2026-10-28 |
| 02 | fjsuarez | 712,909.86 | 92,775.46 | 113,656.86 | 92,775.46 | 113,656.86 | 57,801.13 | 92,221.48 | 57,801.13 | 92,221.48 | 0 | 2026-10-26 |
Data from Codabench, refreshed every 15 minutes.
Research Output
Each benchmark edition feeds open research. Below are the papers produced from previous years' results, documenting methods, datasets, and findings from the community.
- 2026 · B001
BERS: Locally Optimal Continuous Algorithm for Maritime Weather Routing with Just-in-Time Arrival
D. Precioso, F. Suárez, J. Jiménez de la Jara, R. Ballester-Ripoll, D. Gómez-Ullate
arXiv preprint arXiv:2605.31533 (cs.ET, math.OC)
- 2025 · B001
Deep Reinforcement Learning for Carbon-Intensity-Aware Ocean Passage Planning
S. Haugen, A. Bergström, T. Voss
Ocean Engineering, vol. 312
- 2024 · B000
A Reproducible Benchmark Framework for Maritime Weather Routing Competitions
M. García, J. Söderberg, E. Núñez
Proceedings of the IMDC 2024
The Collaboration
The Weather Routing Benchmark is a strategic alliance between the IE School of Science & Technology and RI.SE — Research Institutes of Sweden. We bridge the gap between academic climatological modeling and industrial maritime logistics.
Our mission is to establish transparent, reproducible standards for evaluating routing efficiency in an era of wind-propulsion resurgence. And to publish the results of each yearly competition openly for the research community.