Historical
Weather Data
Uncover actionable business insights and optimize your operations with access to hourly and daily historical weather data from up to twenty years in the past. Tomorrow.io offers a variety of historical weather APIs to support your business needs.
Historical weather data for any location
Temprature Min
Temprature Max
Precip Max
Wind Max
| January 2025 | |||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1WED | 2THU | 3FRI | 4SAT | 5SUN | 6MON | 7TUE | 8WED | 9THU | 10FRI | 11SAT | 12SUN | 13MON | 14TUE | 15WED | 16THU | 17FRI | 18SAT | 19SUN | 20MON | 21TUE | 22WED | 23THU | 24FRI | 25SAT | 26SUN | 27MON | 28TUE | 29WED | 30THU | 31FRI | |
| Temperature (°C) | 8.26 | 8.51 | 3.99 | 3.50 | 12.24 | 12.08 | 7.13 | 12.53 | 10.32 | 5.01 | 1.30 | 3.91 | 4.26 | 3.26 | 5.83 | 4.17 | 1.39 | 1.13 | 0.57 | -0.44 | 2.51 | 8.66 | 8.17 | 12.06 | 11.41 | 9.55 | 11.47 | 10.69 | 0.63 | 0.63 | 5.44 |
| Dew Point (°C) | 6.42 | 7.44 | 1.15 | 3.40 | 10.05 | 8.37 | 3.51 | 10.96 | 9.70 | 2.48 | 0.70 | 2.17 | -0.49 | -1.84 | 5.65 | 2.93 | 0.73 | -0.41 | -0.46 | -1.17 | 1.51 | 8.00 | 6.11 | 8.94 | 8.77 | 7.62 | 9.01 | 7.48 | 0.02 | 0.02 | 2.50 |
| Humidity | 96.00 | 99.00 | 99.00 | 100.00 | 98.00 | 86.00 | 93.00 | 100.00 | 97.00 | 98.00 | 98.00 | 98.00 | 92.00 | 95.00 | 100.00 | 99.00 | 100.00 | 99.00 | 98.00 | 99.00 | 99.00 | 100.00 | 96.00 | 87.00 | 99.00 | 97.00 | 88.00 | 89.00 | 96.00 | 96.00 | 97.00 |
| Wind Speed (km/h) | 9.71 | 9.01 | 2.66 | 4.29 | 8.90 | 11.12 | 7.54 | 10.97 | 6.79 | 2.90 | 2.72 | 3.29 | 3.48 | 2.59 | 2.66 | 3.97 | 2.63 | 3.18 | 2.05 | 1.92 | 3.22 | 6.41 | 7.66 | 8.64 | 7.56 | 10.16 | 11.40 | 8.85 | 1.67 | 1.67 | 4.41 |
| Wind Gust (km/h) | 18.97 | 18.78 | 5.58 | 13.78 | 16.95 | 23.15 | 14.88 | 18.99 | 13.96 | 5.21 | 5.38 | 6.09 | 6.70 | 4.44 | 4.98 | 7.85 | 4.97 | 5.69 | 4.51 | 4.12 | 5.74 | 9.34 | 16.17 | 16.87 | 14.64 | 18.73 | 20.33 | 17.50 | 3.16 | 3.16 | 7.99 |
| Wind Direction (°) | |||||||||||||||||||||||||||||||
| Precipitation | 0.10 | 3.62 | 0.00 | 2.38 | 0.53 | 1.12 | 0.04 | 2.46 | 0.68 | 0.26 | 0.03 | 0.04 | 0.01 | 0.00 | 0.07 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.15 | 2.93 | 0.03 | 0.92 | 1.45 | 2.06 | 0.66 | 1.23 | 0.00 | 0.00 | 1.18 |
| Snow Acc. (mm) | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
| Cloud Cover | 100.00 | 100.00 | 99.37 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 40.47 | 79.27 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 97.66 | 100.00 | 2.54 | 2.54 | 100.00 |
| Pressure Level | 1,013.32 | 1,010.73 | 1,012.78 | 1,011.15 | 990.64 | 988.77 | 993.40 | 993.38 | 1,006.93 | 1,009.68 | 1,022.84 | 1,029.15 | 1,028.35 | 1,024.82 | 1,022.67 | 1,022.95 | 1,023.93 | 1,019.83 | 1,012.01 | 1,007.32 | 1,005.15 | 995.19 | 999.66 | 997.74 | 995.33 | 999.52 | 982.32 | 989.29 | 1,014.87 | 1,014.87 | 1,016.98 |
Tomorrow.io Historical Weather Data:
Tomorrow.io offers an extensive historical weather dataset, providing valuable insights for businesses, researchers, and weather enthusiasts. Our historical weather API delivers detailed weather data for any location, allowing users to analyze trends and patterns over time. This data empowers users to make informed decisions about weather impacts on operations, planning, and more. Below are key weather parameters available through the API, each crucial for understanding past weather conditions:
Key Weather Parameters
Temperature
Format: Decimal
Default Measuring Unit: Celsius (°C)
Historical temperature data helps assess heatwaves, cold spells, and overall climate trends at a given location. This parameter is essential for industries like energy, agriculture, and construction, where weather impacts productivity and costs.
Temperature measures the warmth or coldness of the air at a specific location and time. It is crucial for understanding climate trends and identifying periods of extreme heat or cold, which affect energy usage, agriculture, and public health.
Wind Direction
Format: Integer
Default Measuring Unit: Degrees (°) from North (0-360°)
Wind direction influences weather patterns, air quality, and temperature changes. Historical wind direction data is critical for understanding climate trends, wildfire spread, and how prevailing winds impact local conditions.
Wind direction indicates the compass direction from which the wind is blowing. This parameter is essential for understanding weather patterns, wildfire behavior, and local air quality.
Dew Point
Format: Decimal
Default Measuring Unit: Celsius (°C)
The dew point reflects the air’s moisture content and is critical in evaluating humidity and comfort levels. Historical dew point data assists in understanding the potential for fog, frost, or condensation, impacting logistics and transportation planning.
The dew point represents the temperature at which air becomes saturated with moisture and water vapor begins to condense. It provides insight into humidity levels and weather conditions, such as fog or frost formation.
Precipitation Accumulation
Format: Decimal
Default Measuring Unit: Millimeters (mm)
Total precipitation (rainfall) accumulation gives insight into wet or dry periods, critical for water resource management, agriculture, and infrastructure resilience. It can help predict flood risks or drought conditions based on historical trends.
Precipitation accumulation measures the total amount of rain, sleet, or other forms of liquid precipitation over a given period. This data helps in evaluating flood risks, water resource availability, and agricultural needs.
Humidity
Format: Percentage (0–100%)
Default Measuring Unit: Relative Humidity (%)
Humidity data shows the amount of moisture in the air, influencing everything from human comfort to agricultural crop health. By analyzing past humidity levels, industries can anticipate mold risks, plant growth conditions, or even predict customer behavior in retail.
Humidity indicates the amount of moisture in the air as a percentage of the maximum possible humidity at a given temperature. It is crucial for understanding comfort levels, agricultural impacts, and the likelihood of precipitation.
Snow Accumulation
Format: Decimal
Default Measuring Unit: Millimeters (mm)
Snow accumulation data provides key insights into winter weather patterns, affecting transportation, energy usage, and urban planning. Historical snow data helps assess the impact of snowstorms, snow melt, and cold-weather infrastructure demands.
Snow accumulation indicates the depth of snow that has fallen during a specific time period. It is critical for analyzing winter weather impacts, snow removal requirements, and infrastructure resilience.
Wind Speed
Format: Decimal
Default Measuring Unit: Meters per second (m/s)
Wind speed data is essential for sectors like aviation, shipping, and renewable energy. Historical wind speed insights can guide infrastructure design and planning, as well as inform past weather event analyses, such as storms or hurricanes.
Wind speed measures the horizontal movement of air. Historical data on wind speed is essential for industries like aviation, shipping, and construction, where high winds can disrupt operations or create safety hazards.
Cloud Cover
Format: Percentage (0–100%)
Default Measuring Unit: Percentage (%)
Cloud cover data influences temperature and visibility. In sectors like solar energy, cloud cover history helps optimize energy forecasts and assess operational efficiency. It also impacts aviation and outdoor event planning.
Cloud cover represents the portion of the sky that is covered by clouds at a specific location and time. This data is important for solar energy forecasting, aviation, and understanding temperature variations.
Wind Gust
Format: Decimal
Default Measuring Unit: Meters per second (m/s)
Wind gust data captures short-term bursts of high-speed winds, often occurring during storms or extreme weather events. Analyzing gusts can help assess structural damage risks and improve safety in construction or outdoor events.
Wind gusts capture short-term bursts of high-speed wind, often associated with storms or weather fronts. They are important for assessing damage risks, especially in regions prone to severe weather.
Pressure Level
Format: Decimal
Default Measuring Unit: Hectopascals (hPa)
Atmospheric pressure levels indicate weather stability and help forecast storms. Historical pressure data is vital for understanding storm development, wind patterns, and altitude-related conditions that affect aviation and weather predictions.
Atmospheric pressure measures the force exerted by the weight of air above a point. Historical pressure data helps forecast storms and analyze weather patterns, particularly in understanding how high- or low-pressure systems impact local conditions.