Historical Weather Database Services
Historical weather data is used by businesses and academics throughout the world. From environmental management to verification for insurance claims, MeteoGroup's Historical Weather Database offers benefits to a wide range of industries. Examples include:Energy
Historical weather data plays an important role in the energy industry. Reliable time series, with no missing data, are required to calibrate energy demand models and long time series are important for the site assessment of renewables installations.Climate change
Evaluating future climate change requires an understanding of the evolution of weather and climate. In addition to historical data, MeteoGroup also offers climatology studies, combining the data with climate projection models.Insurance
The archive's long time series and global approach, provides a single, reliable source for checking the probability of extreme conditions - essential when dealing with weather derivatives and assessing risk for insurance products.Research
Accurate historical weather information is vital for research both in business and academia. Quality control of MeteoGroup's Historical Weather Database ensures there are no gaps or inconsistencies, minimizing the risk of false results.Agriculture
Many of the world's agricultural commodities are grown in regions where historical weather data is difficult to obtain or is poor quality. Accurate data is required to assess and predict crop yields and production.Retail
Demand for certain retail goods is inextricably linked to the weather. With data from our archive, retailers can identify links between different weather situations and revenue in order to optimize marketing strategies and supply-chains.
MeteoGroup's Historical Weather Database is invaluable, not only due to its unique global coverage and the range of parameters included, but also due to its completeness.
Gaps and errors sometimes occur in historical data so, for more than 50 years of the records, MeteoGroup has used mathematical techniques to simulate key data where it was missing or incorrect. Our archive is designed to be completely transparent and we always flag whether data is real or synthetic.
No other weather archive in the world uses the same technique and, with our meteorological expertise, you are guaranteed that all data, whether actual or simulated, is of the highest quality.
MeteoGroup's Historical Weather Database has been created by our in-house meteorological research and development team. Our systems gather the data from various sources around the globe, checking the quality, and categorizing it before adding it to our database.
Where gaps occur, we use several techniques to simulate the missing observations. This data then needs to be adapted to the local climatology of the relevant location. For this MeteoGroup applies a type of model output statistics (MOS), a similar method to that which we use for our forecasts. If you would like more detail on MeteoGroup's meteorological models and techniques please don't hesitate to contact us.