Independent atmospheric verification

Climate intervention needs an independent referee.

Fair Sky combines satellite observations, atmospheric data, and physics-based models to test whether an intervention produced the effect it claims — from contrail avoidance to marine cloud brightening and stratospheric aerosols.

ATTRIBUTION · EXAMPLE FLIGHT · FL350 · 18:36–19:04 UTC ADS-B ⋅ GOES-19 ⋅ ERA5
ISSR · RHi 112% observed contrail · 62 km · persisted 41 min ATTRIBUTION 0.93 ΔRF +38 mW·m⁻²·h CO₂e (per flight, reportable) vs. avoidance +2,000 ft: −86%
The verification chain

One framework, across very different interventions

Every claim follows the same logic: define the intervention, establish what should be observable, compare it with independent measurements, quantify uncertainty, and issue a defensible verdict.

Claim

What was supposed to happen

Define the intervention, timing, location, expected physical response, and claimed climate effect.

Baseline

What the atmosphere was doing anyway

Construct a local or global background state from observations, reanalysis, and historical variability.

Observation

What actually changed

Use independent satellite or in-situ observations to detect the relevant physical signal.

Attribution

Was the intervention responsible

Separate the claimed effect from meteorology, natural variability, other sources, and retrieval uncertainty.

Verdict

Verified, inconclusive, or not verified

Report effect size, confidence, uncertainty, data provenance, and the evidence behind the conclusion.

Why independence matters

The referee, not a player

The organization proposing or operating an atmospheric intervention should not be the only organization measuring whether it worked. Fair Sky is designed as an independent verification layer: observation-first, uncertainty-aware, and separate from intervention operations.

Contrails — flight-level avoidance claims
Marine clouds — microphysical + albedo response
Stratosphere — aerosol baseline + anomaly attribution
Verification-only — structurally independent
What we verify

Three atmospheric claims. One independent verification layer.

Our first demos cover aviation contrails, marine cloud brightening, and the stratospheric aerosol baseline that future intervention claims would have to beat.

01 · AVIATION

Contrail avoidance

An operator says a reroute avoided a warming contrail. We compare the actual trajectory, atmospheric conditions, satellite observations, and a counterfactual route — with uncertainty.

Open contrail demo →
02 · MARINE CLOUDS

Marine cloud brightening

Test whether an aerosol release produced a detectable change in cloud droplet size, optical depth, or reflectivity above natural cloud variability.

Open MCB demo →
03 · STRATOSPHERE

Stratospheric aerosols

Establish the background aerosol state and quantify whether a future perturbation is distinguishable from volcanic, wildfire, and retrieval-driven variability.

Open baseline demo →
Who it's for

Built for organizations that have to stand behind an atmospheric claim

The same evidence layer can serve operators, researchers, regulators, funders, insurers, and buyers who need an independent answer to a simple question: did the claimed effect actually occur?

Aviation

Aircraft operators & flight-planning teams

Meet mandatory non-CO₂ reporting, target the small share of flights that drive most contrail warming, and verify that avoidance actions actually reduced impact.

Interventions

Research & field-test teams

Pre-register observables, establish a defensible baseline, and evaluate whether field experiments produce a measurable atmospheric response.

Assurance

Regulators, verifiers & funders

Independent, observation-backed evidence with explicit uncertainty, provenance, and reproducible methods.

Risk

Insurers, buyers & public-interest users

Evaluate claims without relying solely on the intervention operator’s own model, measurement system, or success criteria.

FAIR SKY / CONTRAIL VERIFY
Demo 01 · contrails · synthetic data

Verify the climate impact of every flight.

We combine aircraft trajectory, atmospheric conditions, satellite observations and aircraft metadata to identify persistent contrails and verify whether mitigation worked.

Product output: Flight-level contrail detection + attribution + climate impact + avoidance verification.

Contrail Climate Score

82
/ 100 warming risk

Persistent warming contrail observed and attributed with high confidence.

Contrail detected
YES
Satellite-confirmed
Attribution confidence
94%
Flight → observed trail
Persistent length
147 km
Observed + tracked
Estimated impact
1.8 t
CO₂e-equivalent*

Observed flight + contrail

Cyan: aircraft track   •   Yellow: high-risk atmospheric segment   •   White: observed contrail
Flight startHigh-impact segment: 11 minFlight end

What we measure

Aircraft position & altitude
ADS-B
Ice-supersaturated conditions
Detected
Contrail formation
Observed
Contrail persistence
2.1 h
Contrail-to-flight attribution
94%
Radiative climate effect
Net warming

Did avoidance work?

Compare the observed flight with the lowest-cost alternative trajectory.

Actual flight
1.8 t CO₂e

Persistent contrail observed.

Alternative: +2,000 ft for 14 min
0.42 t CO₂e

77% lower estimated contrail climate impact.

DEMO 02 · MARINE CLOUD BRIGHTENING

Can a claimed cloud-brightening signal be separated from natural variability?

Retrospective verification prototype inspired by published Great Barrier Reef field work. The published trial demonstrated transport of artificially generated sea-salt aerosol to cloud-base height; the satellite-response values in this interface are illustrative until the retrieval pipeline is connected to MODIS/VIIRS data.

PROTOTYPE · EVIDENCE-AWARE
Target observables: MODIS / VIIRS cloud effective radius, optical depth & reflectance
Δ effective radius−0.8 μmwithin background spread
Δ cloud reflectance+0.012small positive anomaly
Natural variability±0.018matched control scenes
Attribution confidence46%plume + cloud overlap

Observation test

natural variability
observed anomaly

Fair Sky compares the intervention scene with meteorologically matched control clouds, then asks whether the retrieved microphysical or radiative change exceeds background variability and retrieval uncertainty.

FAIR SKY VERDICT
INCONCLUSIVE

The sign of the response is consistent with brightening, but the estimated signal does not clearly exceed the matched-cloud variability envelope.

Sea-salt releasedocumented
Transport to cloud baseobserved in field study
Satellite cloud responsenot yet established
Uncertainty treatmentrequired for verdict
Research basis: Hernandez-Jaramillo et al., Environmental Research Letters (2025). Published measurements reported the aerosol plume reaching cloud-base altitudes of roughly 700–900 m, with peak particle-number concentrations up to ~10³ cm⁻³. Demo satellite values above are illustrative, not reported trial results.
DEMO 03 · STRATOSPHERIC AEROSOL BASELINE

What would a future stratospheric aerosol claim have to stand out against?

A verification baseline needs more than one sensor. The dashboard tracks aerosol extinction, integrated stratospheric aerosol optical depth, altitude, latitude, wavelength, event history, and cross-instrument disagreement.

BASELINE PROTOTYPE
Core sensors: OMPS-LP · SAGE III/ISS · harmonized historical products
SAOD ~750 nm0.003tropopause → 30 km
Peak layer altitude19 kmbackground sulfate layer
Latitude band20°S–20°Nzonal comparison
Sensor agreement±18%inside baseline tolerance

Latitude × altitude aerosol state

30 km
20 km
tropopause
60°S     30°S     EQ     30°N     60°N

A production version would ingest current observations and maintain a continuously updated background distribution by latitude, altitude, wavelength, season, and recent volcanic/fire activity.

BASELINE ASSESSMENT
BACKGROUND

No intervention claim is being tested. This state defines the aerosol background and expected cross-sensor spread against which a future anomaly would be judged.

Extinction profileprimary observable
Integrated SAODtracked
Multi-wavelength ratioparticle-size context
Cross-sensor biasexplicitly retained

Why uncertainty belongs in the product

OMPS-LP NASAbaseline
OMPS-LP SASKbaseline
SAGE III/ISSbaseline
Scientific design note: OMPS-LP provides multi-wavelength stratospheric aerosol extinction profiles. Published intercomparisons show that retrieval products can diverge substantially after major perturbations, so Fair Sky treats sensor/retrieval disagreement as part of the verification uncertainty rather than hiding it.
Questions?

Talk to Fair Sky

We’re building independent measurement, reporting, and verification for atmospheric climate interventions. If you’re an airline operator, verifier, flight-planning provider, corporate travel buyer, researcher, or potential partner, we’d love to hear from you.

Interested in a pilot or partnership?

Tell us what you’re working on and where independent contrail verification could help.

Email Fair Sky