Automatic processing, quality assurance and serving of real-time weather data over lightweight protocols

Matthew Williams, Dan Cornford, Lucy Bastin, Richard Jones, Stephen Parker

Research output: Contribution to conferencePaper

Abstract

Recent advances in technology have produced a significant increase in the availability of free sensor data over the Internet. With affordable weather monitoring stations now available to individual meteorology enthusiasts a reservoir of real time data such as temperature, rainfall and wind speed can now be obtained for most of the United States and Europe. Despite the abundance of available data, obtaining useable information about the weather in your local neighbourhood requires complex processing that poses several challenges. This paper discusses a collection of technologies and applications that harvest, refine and process this data, culminating in information that has been tailored toward the user. In this case we are particularly interested in allowing a user to make direct queries about the weather at any location, even when this is not directly instrumented, using interpolation methods. We also consider how the uncertainty that the interpolation introduces can then be communicated to the user of the system, using UncertML, a developing standard for uncertainty representation.
Original languageEnglish
Publication statusPublished - 2009
EventStatGIS 2009 - Milos (GR)
Duration: 16 Jun 200918 Jun 2009

Conference

ConferenceStatGIS 2009
CityMilos (GR)
Period16/06/0918/06/09

Fingerprint

weather
interpolation
meteorology
wind velocity
sensor
rainfall
quality assurance
protocol
temperature
harvest
Europe
monitoring station
method
weather monitoring

Keywords

  • free sensor data
  • Internet
  • weather monitoring stations
  • local neighbourhood
  • interpolation
  • UncertML

Cite this

Williams, M., Cornford, D., Bastin, L., Jones, R., & Parker, S. (2009). Automatic processing, quality assurance and serving of real-time weather data over lightweight protocols. Paper presented at StatGIS 2009, Milos (GR), .
Williams, Matthew ; Cornford, Dan ; Bastin, Lucy ; Jones, Richard ; Parker, Stephen. / Automatic processing, quality assurance and serving of real-time weather data over lightweight protocols. Paper presented at StatGIS 2009, Milos (GR), .
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Williams, M, Cornford, D, Bastin, L, Jones, R & Parker, S 2009, 'Automatic processing, quality assurance and serving of real-time weather data over lightweight protocols' Paper presented at StatGIS 2009, Milos (GR), 16/06/09 - 18/06/09, .

Automatic processing, quality assurance and serving of real-time weather data over lightweight protocols. / Williams, Matthew; Cornford, Dan; Bastin, Lucy; Jones, Richard; Parker, Stephen.

2009. Paper presented at StatGIS 2009, Milos (GR), .

Research output: Contribution to conferencePaper

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T1 - Automatic processing, quality assurance and serving of real-time weather data over lightweight protocols

AU - Williams, Matthew

AU - Cornford, Dan

AU - Bastin, Lucy

AU - Jones, Richard

AU - Parker, Stephen

PY - 2009

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N2 - Recent advances in technology have produced a significant increase in the availability of free sensor data over the Internet. With affordable weather monitoring stations now available to individual meteorology enthusiasts a reservoir of real time data such as temperature, rainfall and wind speed can now be obtained for most of the United States and Europe. Despite the abundance of available data, obtaining useable information about the weather in your local neighbourhood requires complex processing that poses several challenges. This paper discusses a collection of technologies and applications that harvest, refine and process this data, culminating in information that has been tailored toward the user. In this case we are particularly interested in allowing a user to make direct queries about the weather at any location, even when this is not directly instrumented, using interpolation methods. We also consider how the uncertainty that the interpolation introduces can then be communicated to the user of the system, using UncertML, a developing standard for uncertainty representation.

AB - Recent advances in technology have produced a significant increase in the availability of free sensor data over the Internet. With affordable weather monitoring stations now available to individual meteorology enthusiasts a reservoir of real time data such as temperature, rainfall and wind speed can now be obtained for most of the United States and Europe. Despite the abundance of available data, obtaining useable information about the weather in your local neighbourhood requires complex processing that poses several challenges. This paper discusses a collection of technologies and applications that harvest, refine and process this data, culminating in information that has been tailored toward the user. In this case we are particularly interested in allowing a user to make direct queries about the weather at any location, even when this is not directly instrumented, using interpolation methods. We also consider how the uncertainty that the interpolation introduces can then be communicated to the user of the system, using UncertML, a developing standard for uncertainty representation.

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KW - weather monitoring stations

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Williams M, Cornford D, Bastin L, Jones R, Parker S. Automatic processing, quality assurance and serving of real-time weather data over lightweight protocols. 2009. Paper presented at StatGIS 2009, Milos (GR), .