Access real-time NWS KCLE precipitation data overlaid with Kalshi market odds. Cleveland's lake-effect patterns and seasonal variability create distinct trading windows for precipitation contracts.
Cleveland sits along the southeastern shore of Lake Erie, placing it squarely within the Great Lakes humid continental climate zone (Köppen Dfb). The city's proximity to one of the world's largest freshwater lakes dominates its precipitation patterns, generating intense lake-effect snow in winter and modulating summer thunderstorm activity. Elevation ranges from 570 feet at the lakeshore to over 1,000 feet in the eastern suburbs, creating microclimates that complicate precipitation forecasting within the metro area.
Cleveland receives 39.1 inches of precipitation annually, distributed relatively evenly across the year with June being the wettest month at 4.1 inches and February the driest at 2.4 inches. The city experiences approximately 155 days per year with measurable precipitation (≥0.01 inches). Snowfall averages 68 inches annually, with the heaviest lake-effect events occurring from November through February when cold air masses cross the relatively warm lake waters. Spring and early summer bring frequent convective thunderstorms, while autumn precipitation becomes steadier and more stratiform as lake temperatures lag air temperatures.
These precipitation patterns create significant trading opportunities on Kalshi because lake-effect forecasting remains challenging beyond 48-72 hours, leading to persistent mispricing in weekly and monthly contracts. The binary nature of lake-effect events—where KCLE at Hopkins International Airport can receive trace amounts while areas 10 miles inland get buried—means NWS point forecasts often diverge from ensemble probabilities. Traders who understand fetch dynamics, snow-to-liquid ratios, and the precise KCLE measurement location relative to typical lake-effect bands gain substantial edge over participants relying solely on automated forecast models.
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View Dashboard →Cleveland precipitation markets exhibit strong seasonal bifurcation in predictability and liquidity. Winter contracts (December-February) attract the highest volume due to lake-effect uncertainty, with typical bid-ask spreads tightening significantly when 00z and 12z GFS/NAM models show agreement on lake-effect setup. Summer markets (June-August) see elevated activity around severe weather outbreaks, though individual station precipitation remains difficult to forecast beyond 36 hours due to mesoscale convective variability. Spring and fall shoulder seasons often present the best risk-adjusted opportunities, as synoptic-scale systems become more predictable while retail traders focus on more dramatic winter and summer events.
The most common trap for Cleveland traders involves overestimating lake-effect precipitation at KCLE itself. Hopkins Airport sits at the western edge of the primary snowbelt, meaning many lake-effect bands set up east of the station where upslope flow maximizes. Traders frequently bid up contracts when NWS discussions mention significant lake-effect potential, not recognizing that the heaviest accumulations typically occur 15-30 miles east. Additionally, the 0.01-inch settlement threshold creates edge cases during marginal lake-effect events where snow-to-liquid ratios of 20:1 or higher mean 0.2 inches of snow fails to meet contract settlement criteria. Successful traders monitor BUFKIT soundings for the KCLE grid point and cross-reference RAP model simulated reflectivity against station location.
Market liquidity concentrates in the 48-hour window before contract settlement, with the most significant price movements occurring after 12z model runs when the Cleveland NWS office (CLE) updates its Area Forecast Discussion. The 18z NAM and HRRR runs provide critical short-term guidance for next-day contracts, particularly during convective season when afternoon heating drives thunderstorm initiation. Traders who wait for 00z guidance often find thin liquidity and wider spreads, especially on weekends when retail participation drops.
KCLE operates an Automated Surface Observing System (ASOS) at Cleveland Hopkins International Airport, recording precipitation via a heated tipping-bucket rain gauge that reports at one-minute intervals. The official daily Climate Summary (CLI) report aggregates these observations from midnight to midnight local time and serves as the authoritative settlement source for Kalshi precipitation contracts. The ASOS system differentiates between liquid precipitation and frozen precipitation through a combination of temperature sensors and the Ledwidge precipitation identification sensor, though all precipitation is converted to liquid equivalent for CLI reporting. For Kalshi settlement purposes, precipitation must meet or exceed 0.01 inches as recorded in the CLI report. Trace precipitation—events where moisture is detected but measures less than 0.01 inches—is recorded as "T" in CLI data and does not satisfy contract settlement criteria for "Yes" outcomes. This distinction becomes critical during light lake-effect snow events or virga situations where precipitation evaporates before reaching the gauge. The KCLE gauge sits at field elevation on the airport grounds, positioned to minimize wind interference and ground splash, though intense winds off Lake Erie during winter storms occasionally cause undercatch in blizzard conditions. Traders should note that CLI reports are typically finalized by 3-4 AM Eastern following the observation day, establishing the definitive settlement value.
KCLESpring brings increasing precipitation frequency as the jet stream retreats northward, with March through May averaging 3.3-3.8 inches monthly. Severe thunderstorm potential increases in April and May as warm, moist air masses from the Gulf clash with lingering cold Canadian air. Lake temperatures lag air temperatures, occasionally suppressing convection near the shoreline while inland areas experience stronger storms.
June through August delivers 3.8-4.1 inches monthly from frequent afternoon and evening thunderstorms. Peak heating drives mesoscale convective systems, though lake breezes can create sharp precipitation gradients across the metro area. KCLE's lakeshore location sometimes remains dry while thunderstorms drench areas just 5-10 miles inland, creating settlement uncertainty for traders relying on radar estimates rather than point measurements.
September through November transitions from convective to stratiform precipitation patterns, with monthly totals declining from 3.6 inches in September to 3.1 inches in November. Early-season lake-effect snow becomes possible in November as lake temperatures remain near 50°F while Arctic air masses push southward. This period often presents optimal trading conditions as synoptic systems become more predictable and GFS/ECMWF agreement increases.
December through February averages 2.5-2.8 inches of liquid-equivalent precipitation monthly, dominated by lake-effect snow and Alberta Clippers. Wind direction determines whether KCLE receives significant accumulation—northwest to west-northwest flow produces the most reliable events at the station. Extreme cold (<10°F) can paradoxically reduce lake-effect intensity as the lake-air temperature differential decreases, a critical factor traders overlook when Arctic blasts approach.
Cleveland receives 39.1 inches of precipitation annually, spread across approximately 155 days with measurable precipitation (≥0.01 inches). The city also averages 68 inches of snowfall, heavily concentrated from November through March due to lake-effect patterns.
Lake-effect precipitation occurs when cold air masses cross the relatively warm waters of Lake Erie, picking up moisture and depositing it as intense, localized snow bands downwind. Cleveland sits at the western edge of the primary snowbelt, meaning KCLE at Hopkins Airport often receives less lake-effect snow than areas 15-30 miles east where upslope flow maximizes accumulation.
Kalshi offers binary contracts on whether KCLE will record ≥0.01 inches of precipitation on specific dates or within defined periods. Contracts settle based on the official NWS Climate Summary (CLI) report from the KCLE ASOS station. Traders buy "Yes" if they believe measurable precipitation will occur or "No" if they expect dry conditions or only trace amounts.
June is Cleveland's wettest month, averaging 4.1 inches of precipitation from frequent thunderstorms. May, July, and August also see elevated rainfall from convective activity. February is the driest month at 2.4 inches, though lake-effect snow events can still produce significant accumulations when measured as liquid equivalent.
No. Trace precipitation (recorded as "T" when moisture is detected but measures <0.01 inches) does not meet settlement criteria for standard Kalshi precipitation contracts. Only measurable precipitation of 0.01 inches or greater as reported in the KCLE CLI report triggers "Yes" settlement.
Synoptic-scale systems in spring and fall offer the highest predictability, typically 3-5 days in advance. Lake-effect events in winter remain challenging beyond 48-72 hours due to sensitivity to wind direction, fetch length, and temperature profiles. Summer convective precipitation is least predictable beyond 36 hours at the station level.
Hopkins Airport sits at lower elevation near the lakeshore at the western edge of the primary snowbelt. Lake-effect bands typically intensify 15-30 miles inland where cold air has longer fetch across Lake Erie and encounters upslope terrain. Eastern suburbs routinely receive 2-3 times the seasonal snowfall measured at KCLE.
The 12z model suite (GFS, NAM, ECMWF) drives the most significant price discovery as the Cleveland NWS office updates its Area Forecast Discussion mid-day. For next-day contracts, 18z NAM and HRRR runs provide critical short-term guidance, especially during convective season. The 00z runs offer valuable overnight updates but often see reduced market liquidity.
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