Weather science prediction markets track forecasts for global climate trends, temperature records, and atmospheric events. On Polymarket Trade, traders assess the probability of various climate outcomes, from record-breaking temperatures to long-term weather patterns. Common questions in this category include whether 2026 will rank among the hottest years on record—as the hottest, second-hottest, or fourth-hottest year globally. These markets reflect collective expectations about global temperature anomalies, seasonal variations, and cumulative climate patterns. What drives prices in weather science markets? Market prices fluctuate based on meteorological forecasts, real-time temperature observations, atmospheric analysis, and expectations about climate phenomena like El Niño or La Niña. Scientific publications, satellite data, and historical climate records influence how traders evaluate probabilities. As new climate data releases and seasonal forecasts arrive, market prices adjust to reflect updated expectations. Participants in these markets include climate scientists, meteorologists, weather enthusiasts, and traders seeking portfolio diversification. The markets create a crowdsourced climate forecast that aggregates diverse perspectives—combining expert analysis with broader market sentiment. Unlike traditional weather forecasts that predict conditions days or weeks ahead, these markets focus on seasonal and annual climate trends. They provide a transparent mechanism for traders to express confidence in specific outcomes and help stakeholders understand collective expectations about global climate patterns and temperature trajectories.