Historical Weather Data

Historical Weather Data & Climate Analytics, Past Precipitation Data, Rainfall Data, Weather Records

Historical Weather Data and Climate Analytics

Weather Data

Weather impacts nearly every human activity. We often take it for granted, but many of the decisions people make each day are based on current weather or the expected weather. The first cool weather of the season brings people into stores looking to update their wardrobe. A warm spring day encourages people to check out the bedding plants at their local nursery. A hot summer day often causes a spike in beverage sales. Every business maintains records of inventory and sales. Some get very specific by tracking product placement on store shelves. Many leading companies are now learning that incorporating weather into their sales and marketing analysis can provide valuable insights. AWIS can help you quantify how weather drives sales and help you make better decisions on inventory, logistics, staffing, crop growth, and give you better knowledge about your business.

Determining Past and Current Weather Trends
AWIS maintains extensive databases of Historical Weather Data. Our databases include long term averages or normals, daily and hourly data, and is updated hourly with the most current weather observations across the world. Our Historical Weather Database contains summary data from nearly 30,000 weather observation sites and dates back to the mid 1900s, and is update daily by our on staff operational meteorologists. Each observation undergoes a rigorous quality control process before being ingested into the database. AWIS also has the capabilities of ingesting past weather obsevations that occurred before our company began operations, like those weather variables taken as early as the 1800s. If you have a need for historical weather data, we can find provide the most accurate and reliable, real-world weather observations avialable at an affordable price. AWIS currently provides Historical Weather Data to Worldwide Corporations for Sales Analytics, Logistics Companies for seasonal weather preparation, Hedge Fund Managemment Groups for Futures Expectations, Energy Conglomerates for Load Forecasting, Energy Use Verification, and Settling Future Contracts, Construction Project Management for Contract Creation & Rain Day Expectations and Confirmations, Event Planners for Event Management, Agriculture Planning and Soil Diagnostics for Long Range Crop Expectations, Rainfall Totals, Drought Planning, and Government Required Nitrogen Management.

Here are a just a few examples of some of the Historical Weather Data report formats we have generated in the past. Custom formats are also available as well.


Historical Weather Data


All Historical Weather And Climate Data Are Not Created Equal!

We don't want your business to worry about errors in Historical Weather Data to impact decisions or the bottom line. Even small errors in data can accumulate over time and distort reality. There are numerous sources of weather data these days, including many that are free and claim to be "official". Those sources do not provide quality checked, real world weather observations. Most of the time, free weather data is satellite derived esimates based on the location input, or simply whatever the federal government provides. At AWIS Weather Services, we are all about real weather observations that are clean and checked hourly for accuracy and reliability. Clean Historical Weather Data allows for:

  • Accurate quantification of the impact of weather on your business.
  • Easy identification of real weather-driven trends and elimination of false trends.
  • Reliable and repeatable results.
  • Highly reliable expectations based on a true history of observations.
  • A higher grade of results for Data Analytics
Weather Data

AWIS Weather And Climate Data Are Clean and Consistently Measured... Weather sensors break, automated measurements can drift, data may be garbled in transmission, & human errors are bound to happen. Identifying errors and cleaning up weather and climate data takes time, experience, and resources. Our quality control procedures are rigorous and complete. AWIS meteorologists quality control incoming weather data throughout the day. The data we clean is the most recently reported data and as clost to real-time weather data as you can get. Knowing the current weather situation and using all available surface weather observations, weather radar, and satellite data, we can more accurately find and correct data errors. Inconsistencies in measuring equipment, sampling frequencies, and the time of sampling are common problems among different weather networks. Equipment placement can have a huge impact on the data as well. Some networks place equipment on rooftops, a fine way to introduce warm trends. Sensors drift and require maintenance. Some networks are virtually never maintained. All AWIS weather observations are from observation systems established and maintained by the National Weather Service and other Federal and State agencies. We don't put data in our database without assurances that it meets the latest scientific standards.

Available Data Locations... We closely monitor the reliability of weather reporting sites worldwide. Each month we update our statistics and use these reliability statistics to match the best weather reporting locations to your needs. We can provide detailed maps and station listings with latitude & longitude, elevation, station name, and many other station variables when quoting our services.

AWIS Delivers Historical Weather Data In Custom Format And On Your Time Table... Yesterdays's weather summaries are available today with our complete quality control procedures. Raw real-time hourly weather data is available immediately, as it comes into our servers. Most data are delivered electronically via AWS S3 Bucket, FTP, private web pages, or email. Historical weather data and climate normals can also be delivered via AWS S3 Bucket or email. Both custom and standard formats are available. Our weather and climate data is ready to ingest, with minimal work for the client. AWIS weather and climate data is spreadsheet and database ready. We can meet any format specifications.

We Can Calculate Any Weather-Based Variables... If we don't currently offer a variable and you can define it, AWIS Meteorologists can add it to our daily processes. Our dense grids add precision and power to weather parameter estimates. Derived from our clean weather data sets, these climate variables can power your models and define reality. Over the past couple decades, AWIS has added the creation of the following variables to our daily operations.

  • Chill Hours
  • Heating Degree Days
  • Cooling Degree Days
  • Population Weighted Variables
  • Growing Degree Days Base
  • Estimated Leaf Wetness
  • Solar Radiation
  • Evapotranspiration
  • Soil Temperatures
  • and many more

Historical Weather Data and Climate Data Normals... We maintain an extensive GLOBAL database of climate data, often referred to as "normals". By convention, normals are computed for 30 year periods ending each decade. Normals are essential for making comparisons to current conditions and for developing weather based models. Daily and monthly normals are available for temperature and precipitation. We have also calculated long-term averages of selected other parameters. Our extensive databases allow for random period normals as well, like 10 year normals, 5 year normals, or 3 year normals. Historical Weather Data is available for the period of record for thousands of locations around the world. Data starts for many locations in the 1940s with some locations having data back even further. We also have the capabilities of researching pre-1940s weather data to obtain observations that happened as early as site installation. Our database includes hourly as well as daily data. Our reliability statistics allow us to provide you with the best available data. We also have historical data that has not been archived by the government and is not available anywhere else. AWIS Weather Services currently has nearly 30,000 weather observation sites accross the world that have some form of Historical Weather Data.

Historical Weather Data Example

Current Weather Observations... Our servers are constantly processing satellite and internet feeds to maintain a database of global weather conditions. We can supply the latest hour, the past 24 hours, or any desired time frame. In addition to a live feed of data, we can supply next day cleansed data after the data passes through our rigorous quality control procedures.

Sources of our Weather and Climate Data... Our Climate Data Normals are derived from official sources where possible. In the US, our normals are based on the official data from the National Climate Data Center. We have computed our own normals for many foreign locations where official normals are unavailable. Our Historical Weather Data is a combination of data from official sources and data that we have collected, cleaned, and added to our database. Our historical weather database is often more complete than the offical database due to our quality control. Real-Time Current Weather Observations are extracted from satellite and internet broadcasts received directly from the National Weather Service and other reliable sources. The data are from observation systems established and maintained by the appropriate Federal or state agency. We don't use data from unauthenticated and unreliable sources. However, for our consulting work we dig even deeper and utilize data from all available sources.

AWIS can provide more than just the data... We consult on weather-related projects. AWIS's team of skilled meteorologists works hard to find new, creative, and efficient ways to address even the most challenging problems. AWIS provides more than numbers. Input from AWIS meteorologists can have a significant impact on your project. We've worked with thousdands of companies and organizations. Numbers may not describe what you want and some measures have little meaning. Our experience can work for you too.

Did you know?

  • The closest weather observation may not be the best observation to use, particularly around large bodies of water.
  • A weather observation may contain weather data from two different calendar days.
  • Airport weather observations often don't report snow and ice.
  • A missing precipitation observation does not necessarily mean there was no precipitation.
  • Daily average wind speed, wind direction, relative humidity, and barometric pressure do not provide useful information in many situations.
  • It is often easier to document a 30-year weather average than a 10-year weather average.
  • Many operational models have been created that rely on rarely measured weather parameters. These can have severely limited application.
  • It isn't how ugly you are, it is who you stand next to that counts!
If you have questions, need more information, or would like to see samples of our Historical Weather and Climate Data, reach out to a meteorologist.

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