WeatherChain Whitepaper

Atmospheric data is the substrate of climate insurance, agricultural derivatives, carbon registries, and emergency response — yet today it lives in a fragmented patchwork of government bureaus, weather APIs, and private feeds. None are tamper-resistant; none come with verifiable provenance; none can be consumed natively by smart contracts.

WeatherChain answers that gap by turning a 30,000+ sensor IoT mesh (KWeather Air365) into a permissionless, on-chain data plane on Flare Network. Every reading is signed at the sensor, batched into the oracle, and consumable by any contract on Flare or via cross-chain messaging.

The protocol is split into four layers:

1. Capture — Climate & Air nodes sample calibrated sensor primitives at 0.1–1 Hz, sign each reading with their device key, and forward over Wi-Fi / 5G / LoRaWAN.
2. Edge aggregation — Local mesh nodes dedupe across neighbours, batch signed packets, and submit to the oracle reporters.
3. Oracle commit — Reporters call WeatherOracle.batchRecordWeather on Flare Coston2 (transitioning to Flare mainnet at Phase 2). The contract maintains totalRecords, per-location indices, and reporter accountability.
4. Consume — Any contract reads getLatestWeather(locationCode) for parametric pricing, settlement triggers, or carbon accounting.

$WLBN is the native reward token, deployed as an ERC-20 on Flare. Issuance is bounded by MAX_SUPPLY and distributed exclusively through the node-reward pool — there is no team allocation that bypasses the validator curve.

Supply utility splits into two flywheels:

• Mint & mine — Buyers settle node purchases in USD1 (BSC). Operators earn $WLBN daily proportional to their tier's sensor count and uptime, net of a fee retained by the protocol treasury.
• Stake & earn — Holders stake $WLBN on Flare for 5–20% APR (Flexible / 30d / 90d / 365d locks), with FLR Double Dipping rewards routed via FTSO data-provider delegation.

For a tier with daily nominal reward D_t, fee f_t, and uptime ratio u, a node accrues:

reward(node) = D_t × (1 − f_t) × u

Uptime is read from the oracle as a basis-point ratio of actual signed readings against the tier's expected sample count over the reward window.

Phase 1 (live): Climate & Air node sales on BNB + oracle commit on Coston2. Phase 2: WLBN staking on Flare mainnet, FLR Double Dipping. Phase 3: oracle bridge to EVM L2s, federated learning for anomaly detection. Phase 4: LEO satellite telemetry integration. Phase 5: transition to autonomous Atmosphere DAO governance.

Token-purchase decisions should account for: (i) operator slashing on persistent sensor offline, (ii) upstream KWeather API availability, (iii) Flare validator-set changes affecting oracle finality, (iv) USD1 stablecoin depeg risk, and (v) regulatory changes in the buyer's jurisdiction. None of these are unique to WeatherChain; all are documented and monitored on the public dashboard.