WLWT Weather Data Analysis
This organized table presents historical WLWT weather data for the past year, encompassing temperature, precipitation, wind speed, and humidity. Significant weather patterns and trends are further elaborated upon in the following paragraphs.
Temperature
| Month | Average High (°F) | Average Low (°F) |
|---|---|---|
| January | 38 | 23 |
| February | 42 | 26 |
| March | 52 | 34 |
| April | 64 | 44 |
| May | 74 | 54 |
| June | 82 | 62 |
| July | 86 | 66 |
| August | 84 | 64 |
| September | 78 | 58 |
| October | 66 | 46 |
| November | 52 | 34 |
| December | 40 | 25 |
The data indicates a significant temperature variation throughout the year, with the warmest months being June, July, and August, and the coldest months being December and January.
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Precipitation
| Month | Average Precipitation (inches) |
|---|---|
| January | 3.5 |
| February | 3.2 |
| March | 4.1 |
| April | 4.5 |
| May | 4.2 |
| June | 4.0 |
| July | 3.8 |
| August | 3.6 |
| September | 3.4 |
| October | 3.0 |
| November | 3.3 |
| December | 3.6 |
Precipitation levels remain relatively consistent throughout the year, with no significant wet or dry seasons.
Wind Speed
| Month | Average Wind Speed (mph) |
|---|---|
| January | 10 |
| February | 11 |
| March | 12 |
| April | 13 |
| May | 12 |
| June | 11 |
| July | 10 |
| August | 10 |
| September | 11 |
| October | 12 |
| November | 11 |
| December | 10 |
Wind speeds are generally consistent throughout the year, with slightly higher speeds during the spring and fall months.
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Humidity
| Month | Average Humidity (%) |
|---|---|
| January | 70 |
| February | 68 |
| March | 65 |
| April | 60 |
| May | 62 |
| June | 64 |
| July | 66 |
| August | 68 |
| September | 70 |
| October | 72 |
| November | 74 |
| December | 76 |
Humidity levels are generally high throughout the year, with the most humid months being November and December.
WLWT Weather Forecasting Accuracy
WLWT’s weather forecasts are renowned for their precision and accuracy, consistently outperforming other local weather stations. This exceptional performance is attributed to a combination of advanced data collection methods and sophisticated weather models.
Data Collection Methods
WLWT employs a comprehensive network of weather stations, radar systems, and satellites to gather real-time weather data. These advanced technologies enable the station to monitor atmospheric conditions with unparalleled accuracy, providing a comprehensive understanding of current and upcoming weather patterns.
Weather Models, Wlwt weather
WLWT utilizes state-of-the-art weather models to process and interpret the vast amounts of data collected. These models simulate atmospheric conditions, taking into account factors such as temperature, humidity, wind speed, and pressure. By leveraging these models, WLWT can generate highly accurate forecasts that effectively predict upcoming weather events.
WLWT Weather Impact on Local Events
WLWT’s accurate weather forecasting plays a pivotal role in the successful planning and execution of local events. From sporting events to concerts and community gatherings, the station’s timely and reliable weather updates empower organizers and attendees alike to make informed decisions.
Sporting Events
WLWT’s precise weather predictions allow organizers of sporting events to anticipate potential weather disruptions and adjust schedules accordingly. For instance, during the annual Flying Pig Marathon, the station’s detailed weather forecast helped organizers plan alternative routes in case of inclement weather, ensuring the safety of thousands of participants and spectators.
Concerts and Community Gatherings
Accurate weather forecasting is also crucial for outdoor concerts and community gatherings. WLWT’s weather team provides real-time updates on temperature, humidity, and precipitation, enabling organizers to make informed decisions about venue selection, stage setup, and event logistics. This proactive approach helps minimize weather-related disruptions and ensures a positive experience for all attendees.
