We ingest and analyze historical and forecast data from the NOAA/NCEP and current weather data from NOAA/OAR dating back to 1979 to seven days in the future.
This provides a reasonable depiction of the earth-atmosphere-system. This global data is placed in a 35Km by 35Km grid (roughly 650,000 grid points) at hourly intervals (roughly 300,000 hours).
We then extract pertinent variables and create/calculate numerous others. We store this massive amount of weather information in databases which allows us to: present the data quickly, calculate additional variables, uniquely package the data for the customer, and basically give our IT staff a huge big data headache. Once the data is staged and ready, we can simply pass on this information to those who need raw weather data, or provide intelligent solution ready answers.
Weather Analytics provides Typical Meteorological Year (TMY) and Actual Meteorological Year (AMY) files for building simulation and energy modeling – for locations worldwide.
Constructed using Department of Energy-specified techniques, Weather Analytics offers global TMY and AMY files for 8,000 official Meteorological Stations plus our global modeled data designed to work with all of the major systems for building modeling and simulation, site selection and energy analysis.
Current sources outside of Weather Analytics only offer TMY files for a few thousand locations worldwide – located primarily around major airports in the U.S. and Europe. The Weather Analytics offering is a huge leap forward in providing scientifically reliable weather data close to the location being modeled – anywhere in the world.
All building modeling and simulation systems require local weather history and climate data to complete their analysis. The better the climate data, the more complete the history, and the more local to the site of interest – the more accurate the results. Whether you are an architect, engineer, construction manager or utilities manager, Weather Analytics is able to help you find the data you need for accurate and precise energy modeling with 35 years of statistically-stable historical data, current conditions and hourly seven-day forecasts for anywhere in the world.
TMY files (also known as TRY or EPW files) are created by looking at 15 – 30 years of hourly data at a location in question (for example – a site to be used for building construction) and selecting, in series, the most typical January, February... and so on of all available years based on a weighted average of DOE-specified weather variables with the selected months knitted together into one synthetic year of typical months.
TMY files are designed to profile the typical weather at a particular location, but they cannot be used to monitor, manage or confirm the actual energy performance of a building. This requires AMY files, which are actual hourly data sets over the last year, or other time period, where energy use data is available closest to the location of interest. AMY files are delivered in the same file formats as TMY files in order to support as many modeling systems as possible. Since daily or hourly comparisons require more precision than general designs demand, AMY files need to be as close to the building site as possible.
Ongoing energy monitoring and performance optimization requires continued access to on or near-site actual weather conditions – which may extend to precision forecasted conditions to drive weather impact alerts and predictive controls.
Get high impact analytics and hourly seven-day forecast conditions from Weather Analytics.
Monitor current and hour-by-hour seven-day forecasted weather conditions for anywhere in the world – for risk management, logistics operations, retail promotions planning or energy modeling. We offer customizable access options for partners, plus a powerful API and web services.