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All Weather And Climate Data Are Not Created Equal!
You can't afford errors in weather data to impact your decisions and bottom line.
Even small errors in weather data can accumulate over time and distort your view of
the weather and the impact on your business. AWIS clean
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.
AWIS Weather And Climate Data Are Clean
Weather sensors break, automated measurements
can drift, data may be garbled in transmission, and
human errors abound. Identifying errors and cleaning up weather
and climate data takes time, experience and resources. Our
quality control
is rigorous and complete. AWIS meteorologists quality control
yesterday's data today. 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.
AWIS Weather And Climate Data Are Consistently Measured
Inconsistencies in measuring equipment, sampling frequencies and time of
sampling are common among different weather networks. Equipment
placement can have a huge impact on the data. 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.
AWIS Delivers Climate Data In Your Format And On Your Time Table
Yesterday's weather data are available today with complete quality control. Raw weather
data are available immediately. We deliver via e-mail, FTP, HTTP, fax,
CD, or hard copy. We can meet any format specifications.
We Calculate Any And All Climate-Derived Variables
We can calculate chill hours, heating and cooling degree days, population
weighted variables, any growing degree day base, etc. Our models allow us
to generate estimated leaf wetness, solar radiation, evapotranspiration, soil
temperature, and other variables. If we don't have it
and you can define it, AWIS meteorologists will create it with our
clean, accurate data. Our dense grids add precision and power to weather
parameter estimates. Derived from our clean weather data sets, these
climate variables will power your models and define reality.
AWIS Provides More Than Weather And Climate 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 hundreds 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!
For pricing and other information contact
us.
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