The human-decision layer existing networks lack
CMEMS marine, EUMETNET atmospheric, EUCLID lightning, EEA air quality and the national avalanche services already cover the meteorological side. What none of them hold is the validation layer: did the session actually run, and was the forecast right?
Every score carries a session_id. When an operator reports the outcome, forecast and human decision are paired — the single most valuable signal in the field, and one no raw-data vendor or B2C app produces.
Forecasts are everywhere. The record of whether a human trusted one — and was right to — exists nowhere else.
How the data is collected
Score
Each /v1/score call is audit-logged with raw weather samples, provider chain and forecast horizon.
Outcome
The operator reports ran / cancelled + equipment type (electric / combustion / manual) against the session_id.
Pair + anonymise
Forecast × outcome are joined, then anonymised before any research release.
Anonymisation & consent
Minimum distinct contributors per released cell — never an identifiable operator.
Coordinates generalised to a grid; no exact spot leakage.
Releases trail real time so no live commercial signal is exposed.
research_consent defaults false; only consented, eligible rows are ever exported.
Right to erasure honoured (GDPR Art. 17) · anonymous aggregates are Recital-26 out of scope
Mapped to the frameworks operators report against
| Framework | Topic | Goable input |
|---|---|---|
| CSRD — ESRS E1 / E5 | Climate + circular economy | carbon-neutral session share, equipment-type observability |
| GRI 301 / 302 / 305 | Materials / energy / emissions | equipment dependency, combustion-session energy proxy, modal mix |
| GSTC D2 / D4 | Sustainability + visitor management | seasonal intensity, protected-area pressure, carrying-capacity |
| Travelife / Blue Flag | Operator certification (marine) | per-trip session log + eco metadata; coastal decision support |
Carbon reported as intensity + mix — not absolute tCO₂e — until the data earns it.
Four research streams
Suitability calibration
Paired forecast × outcome for every carbon-neutral activity across families. Backs CMEMS / Horizon / Interreg grants.
Sustainability tracking
Full catalogue incl. carbon-positive (jet-ski, lift-accessed, heli). Modal comparison + emissions per zone.
Forecast verification
Per-family forecast skill via horizon + provider chain in the audit log. Brier / CRPS / reliability.
Equipment transition
Electric vs combustion across marine, snow and air sports. The leisure electrification observatory.
Target research partners
IMEDEA · ICM-CSIC · Ifremer · OGS · IPMA
SLF Davos · IGE Grenoble · Innsbruck · Eurac
Lab. d'Aérologie Toulouse · DLR
CMCC · WMO · ISGlobal · EEA · CAMS