Highest temperature in Beijing on June 3?

Prediction market odds on Polymarket can be compared against meteorological forecasts from agencies like China's National Meteorological Center or international weather models. Markets often price in broader uncertainty and tail risks than point forecasts, while analyst models may incorporate more granular atmospheric physics. Discrepancies typically arise when markets anticipate unusual patterns or when official forecasts have not yet updated. Tracking both sources helps identify whether traders are pricing in information ahead of the next forecast cycle or if consensus remains aligned on Beijing's expected high temperature for June 3.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Temperature outcomes on Polymarket are typically structured as binary or range-based contracts, with each outcome representing a specific temperature band or threshold. Prices reflect the probability traders assign to each outcome, derived from order-book depth and recent trades. As June 3 approaches, prices adjust in response to updated weather models, seasonal patterns, and any anomalies in atmospheric conditions. The market's pricing incorporates both historical Beijing climate data and real-time meteorological signals, allowing traders to express views on whether the high will fall into cooler, typical, or warmer ranges for early June.

The market resolves on Jun 3, 2026, after the trading day concludes on June 3. Resolution is determined by the official recorded high temperature for Beijing on that date. The outcome is typically sourced from a designated meteorological authority or data provider specified in the market's terms. Once the official reading is published, the contract settles to the outcome bracket or threshold that matches the recorded temperature. Early resolution is unlikely unless trading halts before the close; most traders hold positions through the final hours as the day's peak temperature becomes known.

Major weather pattern shifts, updated seasonal forecasts, and real-time atmospheric data will drive price movement. A shift in the East Asian jet stream or arrival of a cold front could lower expected highs, while high-pressure systems or heat waves would raise them. Publication of new meteorological models from global weather centers typically triggers repricing. Historical climate anomalies or unusual early-season heat or cold in the region may also influence trader positioning. As June 3 approaches, each daily weather update narrows uncertainty, causing prices to converge toward the most likely outcome. Extreme events elsewhere in Asia could also shift broader climate expectations.