If you need some of the data listed above, you can purchase it right now now at the Weather Warehouse. Click here to head on over to the Warehouse. If the data you need is not listed above, such as daily maximum wind speed or average daily dew point, average visibility, average cloud cover, or hourly wet bulb we can provide custom orders. Weather Source can also provide additional
data via
custom orders, such as the following:
In addition to hourly and daily data, weekly,
monthly, annual and other custom data aggregations are available upon
request. Please contact us for
more information regarding custom orders. International
Data
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| Hourly | Daily |
| Altimeter Cloud Cover Dew Point Feels Like Temperature Heat Index Temperature Humidity Precipitation* Sea Level Pressure Specific Humidity Station Pressure Temperature Visibility Wet Bulb Temperature Wind Chill Temperature Wind Direction Wind Gust Wind Speed |
Max,
Min & Mean Altimeter Max, Min & Mean Cloud Cover Max, Min & Mean Dew Point Max, Min & Mean Feels Like Temperature Max, Min & Mean Heat Index Temperature Max, Min & Mean Humidity Max, Min & Mean Sea Level Pressure Max, Min & Mean Specific Humidity Max, Min & Mean Station Pressure Max, Min & Mean Temperature Max, Min & Mean Visibility Max, Min & Mean Wind speed Max, Min & Mean Wind Chill Temperature Max, Min & Mean Wet Bulb Temperature Total Precipitation |
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* Most international stations don't report hourly precipitation amounts. Instead they report 6 and/or 12 hourly aggregated precipitation amounts. But since many users want precipitation in hourly bins, Weather Source developed our Virtual Precipitation method. This method takes the 6 and/or 12 hourly aggregated amounts and parses them into hourly bins based on an analysis of other reported variables such as the present weather indicators, cloud cover, and humidity. |
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International data is not yet available on line,
but can be obtained
via a custom order. Contact us
for more information and quotes. In addition to hourly and daily data,
weekly, monthly, annual and other custom data aggregations are
available upon request.
Weather Source's data cleaning service is designed to produce a complete time series of weather data variables by filling in missing observations via Weather Analytics' Sensor Point model. The Sensor Point model is an application of numerical weather prediction (NWP) modeling technology. It is designed to create accurate, site-specific time series of environmental data. The Sensor Point model has been coupled with NOAA NCEP reanalysis model to reproduce historical data. To "downscale" the modeled data to the typical sensor footprint of 1 to 10 km, the Sensor Point model assimilates all raw sensor observations that are available. Cleaned data is available for both US and International hourly data.
Cleaned data is not yet available on line, but can
be obtained via a custom order. Contact
us for more information and
quotes.
Please allow at least 3 weeks for delivery of cleaned data
orders.
All custom data orders can be provided via email,
ftp, http (web page) and can be provided in numerous formats, most
commonly comma delimited (CSV) ASCII text files; contact us regarding
other formats. Some US daily and hourly data is available right
now via our online store, the Weather
Warehouse. If the data you need
is not available via the Weather Warehouse - please contact us.
Designed for businesses that need extreme detail at the zip code level, we have created data sets perfect for insurance, marketing and other applications. Data is available from 1999 to present for the continental US. Check here for more information.
Weather Source provides two different analysis
services designed to provide information on how often certain weather
occurs.
Our Weather
Binning Analysis assigns weather events into bins and then uses the bin
counts to determine the frequency at which each weather event occurs.
In this
figure we see an example of an analysis for wet bulb
temperature. First the wet bulb tempereratures are organized in 1
degree bins. Then the bin counts are determined by counting
the number of occurrences where the wet bulb temperature was greater
than or equal to the bin threshold.
Finally the percent frequency of occurrence is determined by dividing the number of occurrences for each bin by the total number of possible occurrences.
The
Weather Source GPD Analysis is used to determine the return level and
return period for extreme weather events. The analysis is
based on the Generalized Pareto Distribution (GPD) method for
determining return periods for extreme events.
This
figure is an example of a return period plot for
maximum daily wind speeds. Typically we provide the return levels for
return periods of 10, 25, 50 and 100 year events, but our analysis is
flexible to accommodate producing a return level for nearly any period
you require.
By
bringing together historical weather observations and satellite and
radar information we can produce a comprehensive and accurate analysis
of past weather for virtually any location. An advantage
to using multiple sets of weather information is that each piece of
information helps support other information to convey what the weather
really was. Manned weather observations are verified by satellite and
radar and vice versa such that the whole analysis becomes indisputable
evidence of what the past weather truly was. In most cases we can
produce accurate analysis of what the weather was in an area about the
size of a square mile and on time intervals down to a few minutes. We
can also provide expert testimony of completed analyses.
You know weather impacts your business. We can help you quantify and manage negative weather impacts and maximize the advantages of positive weather. The result: more control, less weather risk and higher profits.
If you require weather information updated
automatically at regular intervals, a dependable Weather Source
subscription is just what you need.
Many times it takes more than weather information
to solve weather issues, our
team of meteorologists and programmers can create custom solutions to
address your unique weather needs