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.
Unlock Business Potential with Precise Historical Weather Data
Unleash the power of historical weather data on your business performance with Tomorrow.io’s historical weather API. Increasingly high-impact and volatile weather has created an opportunity for organizations to better predict customer behavior and improve operations. Tomorrow.io offers a variety of historical weather data through:
Recent-History Weather Data
Using the recent history weather API you can access historical weather data for your location, including minutely, hourly, and daily data for the last 7 days
Read MoreHistorical Archive
Tomorrow.io’s Historical Weather API allows you to query weather conditions by specifying the location, fields, timesteps, and the start and end to include a historical timeline up to 20 years in the past.
Read MoreClimate Normals
Climate Normals is a comprehensive view of climate patterns over a 20-year period. Using weather data with an hourly temporal resolution, the Climate Normals calculates and presents data for the period between 2000 and 2020.
Read More
With these historical weather data sets, you can make a greater business impact
Empower Your Business with Instant Access to Customized Data Sets
Access a month’s worth of data with a single API call by specific location, fields, and time frame up to 20 years in the past.
Prepare for Any Project with Confidence
Maximize the power of your projects with data verified and trusted by a diverse pool of experts, including data scientists, meteorologists, and leading enterprise businesses.
Harness Historical Weather to Meet All Your Needs
Conduct trend analysis, validate historical events, enhance impactful business decision-making, maximize model predictions, and more. Our historical data supports your future forecasts.
Out-of-the-Box Solutions Driven by Real Use Cases
Integrate pre-packaged templates like Road Risk and Fire Index into your operations, enabling you to focus on your core business.
Combine Historical Data with Hyperlocal Forecasts
Revolutionize business decisions by harnessing complete, actionable insights provided by our blend of historical and hyperlocal weather data.
Fast-Track Your Success with Quick Startup Solutions
Accelerate application with ready-to-go recipes and use cases tailored to industry needs.
What Can You Do With Tomorrow.io’s Historical Data?
Elevate Your Predictive Power with AI Model Training
Harness the power of past weather events to predict and unearth fresh business insights that keep you ahead of the curve.
Take Control of Your Future with On-Demand Historical Data and Retrospection
Leverage the power of historical analysis to accurately predict future performance and expected behavior, securing your place at the forefront of your industry.
Gain a Competitive Advantage
Don’t just keep up with the competition, stay ahead. Our Historical Weather API helps you anticipate future performance and behavior based on robust historical analysis.
1{
2 "data": {
3 "timelines": [
4 {
5 "timestep": "1d",
6 "endTime": "2019-03-28T00:00:00Z",
7 "startTime": "2019-03-20T00:00:00Z",
8 "intervals": [
9 {
10 "startTime": "2019-03-20T00:00:00Z",
11 "values": {
12 "temperature": 8.87
13 }
14 },
15 {
16 "startTime": "2019-03-21T00:00:00Z",
17 "values": {
18 "temperature": 8.22
19 }
20 },
21 {
22 "startTime": "2019-03-22T00:00:00Z",
23 "values": {
24 "temperature": 5.25
25 }
26 },
27 {
28 "startTime": "2019-03-23T00:00:00Z",
29 "values": {
30 "temperature": 7.29
31 }
32 },
33 {
34 "startTime": "2019-03-24T00:00:00Z",
35 "values": {
36 "temperature": 13.72
37 }
38 },
39 {
40 "startTime": "2019-03-25T00:00:00Z",
41 "values": {
42 "temperature": 8.1
43 }
44 },
45 {
46 "startTime": "2019-03-26T00:00:00Z",
47 "values": {
48 "temperature": 5.28
49 }
50 },
51 {
52 "startTime": "2019-03-27T00:00:00Z",
53 "values": {
54 "temperature": 4.86
55 }
56 },
57 {
58 "startTime": "2019-03-28T00:00:00Z",
59 "values": {
60 "temperature": 9.68
61 }
62 }
63 ]
64 }
65 ]
66 }
67}What Makes Tomorrow.io’s Historical Weather API Different?
Enhance your business strategy with Tomorrow.io’s superior Historical Weather API, specifically designed to empower you to leverage weather data effectively. Rather than confining you to limited or potentially inaccurate data, we deliver precise, hyper-local, and current historical weather data ready to be integrated into any application, algorithm, or analysis tool.
Unquestionable Accuracy with Scientific Verification
Rest easy knowing that all historical endpoint data has been rigorously validated and is ready to take on any project, fortifying your business with data you can trust.
Empower Your Team With Customizable Data Sets
Tailored data to your unique business needs and requirements, ensuring you have the precise information to propel your business forward.
Broaden Your Horizons with Versatile Applications
Our Historical Weather API not only adapts to any business, industry, and strategy, but it also adds value, transforming the way you harness weather data to boost your bottom line.
Comprehensive Historical Weather Data
Tomorrow.io’s Historical Weather API offers developers easy access to detailed past weather data. Retrieve hourly temperature records or other specific data from any date with precision and ease.
Customizable and User-Friendly APIs
Tomorrow.io’s weather API is versatile, supporting a range of parameters in both imperial and metric units. Tailor it to meet diverse business needs and preferences.
More Than the Temperature
Go beyond basic temperature data with historical weather insights, enabling you to build sophisticated forecasting applications with data-rich, historical weather patterns and events.
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 |
Leverage our Historical Weather API for a Variety of Use Cases
Insurance: Validate Claims, Prepare for Future Events, and Reduce Fraud
Using historical data, the insurance industry can identify weather events at a specific date. Leveraging historical data, insurance companies also send customers alerts about future weather events to help them prepare for them and mitigate damage to insured assets.
Logistics and Transportation: Predict Delays and Optimize Travel Routes
The supply chain relies heavily on accurate logistics and timely deliveries. Interruptions from unforeseen weather events impact these companies and can cost millions in losses. Historical data can be used to build better strategies around current and future weather conditions.
Sports and Entertainment: Optimize Sales During Specific Conditions
During sporting events, customers are more likely to purchase specific products based on outdoor weather. For example, the Patriots football team used weather forecasting to make opportunistic product sales and increase revenue by up to 20% on certain days.
Transportation And Ride Sharing: Determine Increases in Service Requests
Uber uses minute-by-minute weather data to optimize offers during weather events, reduce the cost of customer acquisitions by 20%, and improve estimated time of arrival (ETA) accuracy by 25%.
Aviation: Analyze Past Delays, Cancellations, and Understaffing
The travel industry could arguably use past weather data the most, and JetBlue is one such trendsetter leveraging the Tomorrow.io historical weather API to save $50,000 per month in operational costs due to severe weather.
Energy and Utility: Make Predictions for Staffing and Costs During Outages
In 2020, India saw one of the biggest storms ever recorded, which put 300,000 residents at risk. IndiGrid used predictive analytics from historical weather data to determine staffing and support for future severe weather events that could cause damage and outages.
Tomorrow.io Weather API
Learn more about the Tomorrow.io Weather API’s enterprise-grade capabilities:
Weather Maps API
Improve maps with real-time weather. Easily integrate with Mapbox, Google Maps, and more
Read More
Alert & Notifications
Prepare for and mitigate risks around weather events in advance for more resilient operations
Read More
Air Quality API
Access historical, current, and forecast air pollution data for any location quickly and easily
Read More
Statistical API
Analyze and interpret weather events with Tomorrow.io’s best-in-class Statistical Weather Data API
Read More