Rahul NairKochi, IndiaReport AvailableExample project

Port Decarbonisation dMRV Network

Sensor + satellite network tracking emissions reductions across a major shipping port.

Economy & IndustryDecarbonisationdMRVShipping

About this project

This proposal for a sensor + satellite dMRV network across a major shipping port is strong on measurability and scientific grounding and shows clear potential for high-impact emissions tracking and verification. Gaps remain in explicit open-data commitments, detailed governance, and documented community engagement—addressing these will be essential to reach best-practice transparency and equity standards.

AI summary by the Ozeaon Climate Intelligence System

Why this integrity score?

The OCIS Integrity Report below explains the reasoning behind the headline score — dimension by dimension — and is readable in full here.

Score Reasoning — Dimensions

The headline score is a weighted sum of six integrity dimensions assessed by the Ozeaon Climate Intelligence System.

Scientific Rigor20% weight
90
Approach (satellite + in-situ sensors + atmospheric inversion/flux estimation) aligns with peer-reviewed methods; good technical foundation though proposal lacks protocol-level detail and validation plans.
Open Science15% weight
82
Conceptually compatible with open data and reproducible code, but proposal does not specify licensing, data access, or code publication practices.
Measurability (dMRV)20% weight
94
Sensor + satellite fusion, AIS integration and established inversion methods make continuous, verifiable measurement feasible; needs explicit QA/QC, uncertainty quantification, and baseline/attribution methods.
Additionality & Impact15% weight
86
Provides new, granular emissions visibility likely to enable operational changes and policy interventions, but additionality depends on how findings are acted on and whether results displace existing reporting.
Transparency & Governance15% weight
82
Proposal implies centralized monitoring capability but lacks a clear governance structure, data ownership, budget/funding transparency, and third-party verification pathway.
Community & Equity15% weight
80
Potential local benefits (health, pollution reduction) are strong, but proposal omits stakeholder engagement, benefit-sharing, and social safeguards.

Strengths

High dMRV potential: combining in-situ sensors, satellites, AIS and inversion modeling supports continuous, spatially resolved emissions estimates.
Methodologically aligned with peer-reviewed atmospheric monitoring and port emissions research.
Actionable outputs: can drive operational optimizations (berth scheduling, cold-iron incentives) and policy enforcement.
Scalable: architecture can be replicated across other ports and integrated into regional air quality monitoring.

Risks & Gaps

Lack of explicit open-data and code licensing commitments could limit reproducibility and third-party verification.
No detailed governance model, data ownership, or funding transparency—creates risk of data access restriction or mission drift.

dMRV Recommendation

Tier

Tier 2 — Advanced dMRV

Cadence

Near-real-time ingest (hourly where feasible) with aggregated reporting: daily dashboards, monthly public reports, and annual third-party verification.

Recommended

Yes

The proposed mix of sensors, satellites and activity data supports continuous, spatially-resolved emissions quantification and attribution — prerequisites for actionable MRV. A Tier 2 (Advanced) dMRV is appropriate because the system goes beyond basic inventory methods and requires formal QA/QC, inversion modelling, data fusion pipelines, and independent verification to produce defensible reduction claims.

In-situ sensor network (CO2, NOx, PM2.5; calibrated, collocated reference checks)Satellite retrieval fusion (NO2/CO2 column data; plume detection algorithms)AIS/Vessel Activity and port operations logs (to link emissions to actors)Atmospheric transport modeling + inverse modeling for source attributionData fusion and machine-learning analytics for anomaly detection and gap-filling

About this project

Generating OCIS summary & integrity report…