Historical weather data simplified
30 years of historical weather data, available anywhere on the planet
Use comprehensive historical weather datasets to compare events over the course of years, months, and days to make data-driven business decisions.
Trains your AI models & unlock new insights
Identify potential weather triggers
Reduce your business risk
Track weather conditions anywhere in the world for the past 30 years
How is historical weather data optimizing your operations?
10 years global gridded data set
The gridded observation data set allow customers to get weather data in uniform resolution.
One data point every hour
Providing a good indication of typical climate patterns and expected conditions at that time.
Quick access, easy to use
Download large volumes of data with one single data pull (one time data extraction via bulk downloads and capacity).
Ensured format compatibility
Historical weather data and historical forecasts are delivered in the same format.
Designed for AI and predictive analytics
Better correlation between weather and your business performance for better predictive analytics.
All the historical weather data you need from one single provider
Modern supercomputing has allowed us to process trillions of data points to make it easily accessible for our customers.
Historical weather data variables
Handpick your own weather variables as per your industrial requirements and challenges. You can also choose from our preconfigured variable packages that suit your needs. Below are the pre-packaged bundles which include multiple variables based on common industry requirements.
Core Variables:
Temperature
Dew point Temperature
Relative Humidity
Wind Speed & Direction
Wind Gust Speed
Maximum Wind Gust Speed
Mean sea-level pressure
Total Precipitation
Min and Max temperature
Cloud cover
Agriculture Variables:
Skin Temperature
Specific Humidity
Soil Moisture (0-7cm, 7-28cm, 28-100cm, 100-289cm)
Soil Temperature (0-7cm, 7-28cm, 28-100cm, 100-289cm)
Latent Heat Flux
Sensible Heat Flux
Radiation Variables:
Incoming Shortwave Radiation
Incoming Longwave Radiation
Outgoing Shortwave Radiation
Outgoing Longwave Radiation
Outgoing Longwave Radiation (top of atmosphere)
Invariant Fields:
Geopotential
Soil Type
Low Vegetation Cover
Type of Low Vegetation
High Vegetarian Cover
Type of High Vegetation
Terrain height
Precipitation Variables:
Precipitation Type
Maximum Precipitation Rate
Total Snowfall
Snow Depth
Thunderstorm Variables:
CAPE
CIN
Renewable Energy Variables:
100m Wind Speed
100m Wind Direction
Other Variables:
Surface Pressure
Maritime Historical data
Maritime Variables:
Sea Surface Temperature
Total Waves (Combining swell and wind waves)
– Significant Height
– Mean Direction
– Mean Period
Maximum Wave Height
Sea Ice Fraction
Maritime Waves Variables:
Wind Waves
– Significant Height
– Mean Direction
– Mean Period
Total Swell Waves
– Significant Height
– Mean Direction
– Mean Period
Maritime Swell Waves Variables:
Swell Waves Partition 1
– Significant Height
– Mean Direction
– Mean Period
Swell Waves Partition 2
– Significant Height
– Mean Direction
– Mean Period
Invariant Fields:
Land-Sea Mask
Ocean Depth (Model bathymetry)
Weather Dashboards
Visualize the impact of weather on your business with Spire’s Weather Dashboards
Get actionable weather insights to solve your business challenges. Point-specific dashboards are easy to use, customizable and deliver in-depth insights to help you test business strategies, set up reports and receive weather alerts when they cross safety thresholds.
What our customers say
“The Spire Weather Forecast excels for open ocean weather forecast accuracy. The level of development and speed of innovation that Spire is putting into its models continues to impress us.”
Nick Olsen
Marketing & Business development manager – Predictwind
“We’re a specialist company that does remote sensing, so we know the value that satellite technology brings to the table. This is why we’re so happy Spire provides such data points using satellite technology as it covers the entire world without any gaps. Before, the level of accuracy was only 75% but now with Spire’s integration, it’s gone up to 95%.”
Rishikiesh Sapre
Co-founder – Mantle Labs
“Weather routing has the potential to drive greater efficiency and emissions reduction as open-ocean conditions greatly impact performance. Partnering with Spire Weather puts genuinely market leading data into the hands of more users allowing them to enhance vessel performance.”
Soren Meyer
CEO – Zeronorthx
Weather forecast use cases
Historical weather data optimizes container shipping operations
As global supply chains continue to struggle to keep up with global demand, data is a useful tool for optimizing your business contingency plans.
The hidden value of historical weather data
Mankind has always looked to the skies to understand the enigmatic forces of nature, especially stakeholders in the maritime sphere.
5 Ways Historical Weather Data will Up Your Maritime Game
The uncertainties of life at sea often witnesses individuals and maritime entities pouring over weather forecast data.