Automated Weather Source

Last updated
Automated Weather Source
Founded1992 (1992)
FounderMike Bailey, Topper Shutt, Bill Mengel, Bob Marshall, and Chris Sloop
Headquarters,
U.S.
Website aws.com

Automated Weather Source (AWS) was a partnership and later a corporation founded in 1992 by James Michael "Mike" Bailey and Charles "Topper" Shutt of Montgomery County, Maryland, whose purpose was to create a network of weather stations located at public schools and recreational facilities throughout the Mid-Atlantic region of the United States. [1]

Contents

The weather data generated was accessed by dialup modem and included wind speed, wind direction, barometric pressure, temperature, and rainfall totals, along with daily minimum and maximum values of each. The network of primarily school-based weather stations became the first to generate real-time meteorological data for use on broadcast television when the AWS network was first referenced on September 11, 1992, during the nightly newscast of WUSA-TV (Channel 9) in Washington, D.C. [2]

The AWS concept encouraged academic and recreational institutions to increase localized community awareness by soliciting donors to help them join the network. A computer and software interfaced to the weather station, provided access to each site, and enabled the user to download near real-time and archived surface weather observations. The meteorological data were then used in the classroom as part of multiple curricula. The real time data was shared with the general public on broadcast media and provided to the National Weather Service (NWS) for internal use and eventual integration into AFOS (Automation of Field Operations and Services), the computer system in place at the time linking NWS offices for the transmission of weather data now known as AWIPS. Headquartered in Darnestown, Maryland, the Automated Weather Source partnership formed in 1992 was incorporated in January 1994. Implementations of AWS' core concept, often referred to as "SchoolNet" or "WeatherNet," then began to expand into many other major US television markets over the course of the 1990s. [3] [4]

History

Initial AWS methodology

Prior to the formation of the AWS partnership formed in 1992 by founders Bailey and Shutt, Bailey, an amateur weather enthusiast, worked with meteorologist Andrew Stern, then lead forecaster at the Sterling, Virginia National Weather Service forecast office. Stern and Bailey initially compiled code to access and download observations via dialup phone modem from a HeathKit 5001 weather station. In an effort to access the data more efficiently, Bailey acquired a weather station produced by Texas Weather Instruments (TWI) that allowed direct access to the weather data. The TWI instrument, known as a Weather Report, became one of the first sources for local, hourly weather observations by a non-standard weather data platform to be accessed by the National Weather Service (NWS) and ingested into AFOS in the Washington, D.C., area. [3]

Creation of AWS network

As a NWS storm spotter, and having previously worked as an intern and weather watcher for WRC-TV, [5] Bailey recognized the importance of localized weather data for on-air TV use. He provided Shutt with access to the weather data engine and began discussions on how and where other similar weather stations might be deployed and used in nightly local weather broadcasts. Locations considered included ski resorts and parks. [3] Shutt suggested placement at schools, as they were at the time beginning to acquire computers and dedicated phone lines for access to remote data sources. Subsequently, Shutt and Bailey formed the Automated Weather Source Partnership, funding the purchase and donation of three weather stations to Washington-area schools to seed what became the nation's first public school network of weather stations to generate weather data for use on broadcast TV at WUSA-TV. [3] On September 11, 1992, Automated Weather Source Network became an on-air reality and its use quickly grew in the nation's 8th largest TV market DMA. [3]

Network growth

Within a year Montgomery, Fairfax, Howard and Loudoun County Public Schools were the first of the local technology and transportation coordinators that joined the AWS network as it grew to over thirty sites in the Washington area. [1] The Automated Weather Source Network segment was self-promoting on air and became a community outreach tool for WUSA-TV 9. Wisp Resort, in Garrett County, Maryland, was the first ski area to purchase a unit and dedicate a phone line for access. Other Mid-Atlantic ski resorts followed suit as "Ski-net" evolved. [1] [3] Stevenson shelters were built and used to house the outdoor sensors on the roofs of existing sites that appeared in the Automated Weather Source Network television segment. The AWS network had grown to 30 sites as the data sets generated were also used to provide near real-time observations from school rooftops. [3] [4] AWS agreed to provide NWS access to the data from the network on an hourly basis for integration into the AFOS computer system. Data from each AWS station was compiled and transcribed in ASCII format. A typical observation would output to file as follows: [6]

5:15 07/24/90 SSE 04 MPH 052F 069F 078F 099% 30.04R 00.19"D 01.38"M 11.78"T

The code written to interpret the TWI observation was ingested into AFOS, a system that has since transitioned to AWIPS, a more modern interface used to interpret the same meteorological data. An early data set example read as follows, with a four-letter identifier followed by city, state and county: [3]

DTWN DARNESTOWN MD MG 5:15 07/24/90 SSE 04 MPH 052F 069F 072F 099% 30.04R 00.19"D 01.38"M 11.78"T

The above data set, as a weather observation, would read as follows: "At 5:15 A.M. on July 24, 1990, the temperature at the Darnestown AWS site in Montgomery County, Maryland was 52°F, with 99% relative humidity and a wind from the south-southeast at four miles per hour."

AWS data as a teaching tool and TV broadcast use

Social impact

Prior to the rapid growth of the Internet in 1992, primary media sources included print, radio, and broadcast TV. Computer science had just begun its integration into K-12 schools in major metropolitan areas. The use of computers and dial-up modems with access to digitized resources was in its infancy at the time of AWS' founding. A weather station as an engine that provided real-world data could then be integrated into each area of school curricula. Promoting such a concept by recognizing specific schools or locations on broadcast TV helped instill local civic pride. The near real-time observations used by TV broadcast media made viewers more aware of the weather conditions where they worked and lived. Television networks' use of the meteorological observations encouraged the growth of the AWS concept and the participation of local businesses in the growing effort to donate resources to help facilitate this cause. [1]

As the Washington, D.C., metro area school systems bought into the concept, AWS began working on a way to better archive and manipulate the data generated for use as a teaching tool for computer science, mathematics, geography, and science. Students would log observations and then plot them on a local map, and a series of manually logged observations would be graphed as well. [1] Eventually, an AWS subcontractor wrote a program that would automatically access the existing sites and download data for current observations as well as limited historical data. The program, which ran on desktop computers outfitted with 386 processors, then created graphs of historical data. [1] [7]

Criticisms and acceptance

AWS' founders and employees chose school rooftops to place their weather stations because of such locations' accessibility, security, proximity to electrical power and ease of maintenance. [1] The standard location for most sensor suites at that time was at airports, in the middle of large fields, or between runways with no physical obstructions that might disturb the immediate environment. [8] Meteorologists both in the NWS and the private sector expressed concern that AWS sites might be subject to a number of confounds, such as the skewing of wind direction by rooftop structures, the heat retained on dark rooftop surfaces, and the hot exhaust from rooftop air conditioning units, all of which were thought to cause inaccuracies in the data. [9] [10]

Despite these concerns, meteorologists used AWS data to assist in the study of various weather phenomena, including the heat island effect. One such study, presented to the American Meteorological Society by Davey et al. of Colorado State University, cited examples and placement of multiple AWS network sites. [11] Each mesonet site was subject to environmental factors which differed from the official configuration of an NWS-certified ASOS weather station. As rooftop weather station configurations grew more widely available, however, rooftop observations became an accepted measure of meteorological data dissemination in the scientific community, with an understanding that the sites were considered nonstandard configurations. Armed with the metadata that highlighted the biases in rooftop observations, meteorologists used rooftop data in their forecasts at their own professional discretion.

Steps toward incorporation

The WUSA-TV Automated Weather Source Network on-air segment soon attracted the attention of Bill Mengel, then founder and owner of EAI Corporation. [12] EAI products included the manufacturing of air sensors for commercial and military use. Mengel sent then-EAI employee Robert "Bob" Marshall to meet with AWS founders Shutt and Bailey to discuss the possibility of manufacturing a more sophisticated weather station. EAI's background in air monitoring equipment, along with the engineering background of Marshall and Christopher Sloop, an engineer and computer programmer at EAI, brought a valuable skill set to the partnership. The discussions led to the development of a prototype of the first AWS-manufactured weather station and data display unit as well as the development of refined software needed to access and utilize the AWS network in schools and on-the-air. [13]

AWS Incorporated

Within 4 months of partnering with Mengel and EAI, the Automated Weather Source Partnership converted to a corporation, AWS Convergence Technologies, Inc. Its principal owners included Topper Shutt, Mike Bailey, Bill Mengel, Bob Marshall and Chris Sloop. Its main office was located in Germantown, Maryland. The hardware and software development took place in both Germantown and Abingdon, Maryland. [14] The company was later renamed to Earth Networks. [15]

In September 2018, the company sold the aws.com domain to Amazon Web Services. [16]

Related Research Articles

<span class="mw-page-title-main">Weather balloon</span> High-altitude balloon to which meteorological instruments are attached

A weather balloon, also known as a sounding balloon, is a balloon that carries instruments to the stratosphere to send back information on atmospheric pressure, temperature, humidity and wind speed by means of a small, expendable measuring device called a radiosonde. To obtain wind data, they can be tracked by radar, radio direction finding, or navigation systems. Balloons meant to stay at a constant altitude for long periods of time are known as transosondes. Weather balloons that do not carry an instrument pack are used to determine upper-level winds and the height of cloud layers. For such balloons, a theodolite or total station is used to track the balloon's azimuth and elevation, which are then converted to estimated wind speed and direction and/or cloud height, as applicable.

<span class="mw-page-title-main">Weather station</span> Facility for atmospheric research and prediction

A weather station is a facility, either on land or sea, with instruments and equipment for measuring atmospheric conditions to provide information for weather forecasts and to study the weather and climate. The measurements taken include temperature, atmospheric pressure, humidity, wind speed, wind direction, and precipitation amounts. Wind measurements are taken with as few other obstructions as possible, while temperature and humidity measurements are kept free from direct solar radiation, or insolation. Manual observations are taken at least once daily, while automated measurements are taken at least once an hour. Weather conditions out at sea are taken by ships and buoys, which measure slightly different meteorological quantities such as sea surface temperature (SST), wave height, and wave period. Drifting weather buoys outnumber their moored versions by a significant amount.

<span class="mw-page-title-main">National Weather Service</span> U.S. forecasting agency of the National Oceanic and Atmospheric Administration

The National Weather Service (NWS) is an agency of the United States federal government that is tasked with providing weather forecasts, warnings of hazardous weather, and other weather-related products to organizations and the public for the purposes of protection, safety, and general information. It is a part of the National Oceanic and Atmospheric Administration (NOAA) branch of the Department of Commerce, and is headquartered in Silver Spring, Maryland, within the Washington metropolitan area. The agency was known as the United States Weather Bureau from 1890 until it adopted its current name in 1970.

<span class="mw-page-title-main">NEXRAD</span> Network of weather radars operated by the NWS

NEXRAD or Nexrad is a network of 159 high-resolution S-band Doppler weather radars operated by the National Weather Service (NWS), an agency of the National Oceanic and Atmospheric Administration (NOAA) within the United States Department of Commerce, the Federal Aviation Administration (FAA) within the Department of Transportation, and the U.S. Air Force within the Department of Defense. Its technical name is WSR-88D.

<span class="mw-page-title-main">Automatic weather station</span> Meteorological instrument

An automatic weather station (AWS) is an automated version of the traditional weather station, either to save human labor or to enable measurements from remote areas. An AWS will typically consist of a weather-proof enclosure containing the data logger, rechargeable battery, telemetry (optional) and the meteorological sensors with an attached solar panel or wind turbine and mounted upon a mast. The specific configuration may vary due to the purpose of the system. The system may report in near real time via the Argos System, LoRa and the Global Telecommunications System, or save the data for later recovery.

The National Severe Storms Laboratory (NSSL) is a National Oceanic and Atmospheric Administration (NOAA) weather research laboratory under the Office of Oceanic and Atmospheric Research. It is one of seven NOAA Research Laboratories (RLs).

Weather spotting is observing weather for the purpose of reporting to a larger group or organization. Examples include National Weather Service (NWS) co-op observers and Skywarn storm spotters.

<span class="mw-page-title-main">PAGASA</span> National weather, climate, and astronomy bureau of the Philippines

The Philippine Atmospheric, Geophysical and Astronomical Services Administration is the National Meteorological and Hydrological Services (NMHS) agency of the Philippines mandated to provide protection against natural calamities and to ensure the safety, well-being and economic security of all the people, and for the promotion of national progress by undertaking scientific and technological services in meteorology, hydrology, climatology, astronomy and other geophysical sciences. Created on December 8, 1972, by reorganizing the Weather Bureau, PAGASA now serves as one of the Scientific and Technological Services Institutes of the Department of Science and Technology.

<span class="mw-page-title-main">ARMOR Doppler Weather Radar</span>

ARMOR Doppler weather radar is a C-Band, Dual-Polarimetric Doppler Weather Radar, located at the Huntsville International Airport in Huntsville, Alabama. The radar is a collaborative effort between WHNT-TV and the University of Alabama in Huntsville. Live data for the radar is only available to a limited audience, such as UAH employees and NWS meteorologists. All ARMOR data is archived at the National Space Science and Technology Center located on the UAH campus.

<span class="mw-page-title-main">Citizen Weather Observer Program</span> Network of weather stations based in the United States

The Citizen Weather Observer Program (CWOP) is a network of privately owned electronic weather stations concentrated in the United States but also located in over 150 countries. Network participation allows volunteers with computerized weather stations to send automated surface weather observations to the National Weather Service (NWS) by way of the Meteorological Assimilation Data Ingest System (MADIS). This data is then used by the Rapid Refresh (RAP) forecast model to produce short term forecasts of conditions across the contiguous United States. Observations are also redistributed to the public.

<span class="mw-page-title-main">Mesonet</span> Network of weather and environment monitoring stations

In meteorology and climatology, a mesonet, portmanteau of mesoscale network, is a network of automated weather and, often also including environmental monitoring stations, designed to observe mesoscale meteorological phenomena and/or microclimates.

<span class="mw-page-title-main">Meteorological instrumentation</span> Measuring device used in meteorology

Meteorological instruments, including meteorological sensors, are the equipment used to find the state of the atmosphere at a given time. Each science has its own unique sets of laboratory equipment. Meteorology, however, is a science which does not use much laboratory equipment but relies more on on-site observation and remote sensing equipment. In science, an observation, or observable, is an abstract idea that can be measured and for which data can be taken. Rain was one of the first quantities to be measured historically. Two other accurately measured weather-related variables are wind and humidity. Many attempts had been made prior to the 15th century to construct adequate equipment to measure atmospheric variables.

The Coastal-Marine Automated Network (C-MAN) is a meteorological observation network along the coastal United States. Consisting of about sixty stations installed on lighthouses, at capes and beaches, on near shore islands, and on offshore platforms, the stations record atmospheric pressure, wind direction, speed and gust, and air temperature; however, some C-MAN stations are designed to also measure sea surface temperature, water level, waves, relative humidity, precipitation, and visibility.

Charles "Topper" Shutt is Chief Meteorologist at WUSA Channel 9 in Washington, D.C., and forecaster for WHUR-FM.

<span class="mw-page-title-main">Automated airport weather station</span> Automated sensor suites

Airport weather stations are automated sensor suites which are designed to serve aviation and meteorological operations, weather forecasting and climatology. Automated airport weather stations have become part of the backbone of weather observing in the United States and Canada and are becoming increasingly more prevalent worldwide due to their efficiency and cost-savings.

<span class="mw-page-title-main">Surface weather observation</span> Fundamental data used for weather forecasts

Surface weather observations are the fundamental data used for safety as well as climatological reasons to forecast weather and issue warnings worldwide. They can be taken manually, by a weather observer, by computer through the use of automated weather stations, or in a hybrid scheme using weather observers to augment the otherwise automated weather station. The ICAO defines the International Standard Atmosphere (ISA), which is the model of the standard variation of pressure, temperature, density, and viscosity with altitude in the Earth's atmosphere, and is used to reduce a station pressure to sea level pressure. Airport observations can be transmitted worldwide through the use of the METAR observing code. Personal weather stations taking automated observations can transmit their data to the United States mesonet through the Citizen Weather Observer Program (CWOP), the UK Met Office through their Weather Observations Website (WOW), or internationally through the Weather Underground Internet site. A thirty-year average of a location's weather observations is traditionally used to determine the station's climate. In the US a network of Cooperative Observers make a daily record of summary weather and sometimes water level information.

<span class="mw-page-title-main">National Weather Service Lincoln, Illinois</span> Forecast office in central Illinois

National Weather Service Lincoln, Illinois also known as National Weather Service Central Illinois is a weather forecast office responsible for monitoring weather conditions for 35 counties in Central and Southeastern Illinois. The Central Illinois office initially consisted of two forecast offices in Peoria and Springfield until the current location in Lincoln became the sole local forecast office in 1995. Federal meteorology offices and stations in the region date back to the 19th century when the Army Signal Service began taking weather observations using weather equipment at the Springer Building in Springfield. Since that time the presence of the National Weather Service greatly increased with the installation of new weather radars, stations and forecast offices. The current office in Lincoln maintains a WSR-88D (NEXRAD) radar system, and Advanced Weather Interactive Processing System (AWIPS) that greatly improve forecasting in the region. Lincoln is in charge of weather forecasts, warnings and local statements as well as aviation weather.

<span class="mw-page-title-main">Erica Grow</span> American meteorologist and television reporter

Erica Alicia Grow-Cei is an American meteorologist and television reporter for WPIX Channel 11 in New York City.

<span class="mw-page-title-main">Road Weather Information System</span> Network of weather stations installed along roads

A Road Weather Information System (RWIS) comprises automatic weather stations (AWS) in the field, a communication system for data transfer, and central systems to collect field data from numerous ESS. These stations measure real-time atmospheric parameters, pavement conditions, water level conditions, visibility, and sometimes other variables. Central RWIS hardware and software are used to process observations from ESS to develop nowcasts or forecasts, and to display or disseminate road weather information in a format that can be easily interpreted by a manager. RWIS data are used by road operators and maintainers to support decision making. Real-time RWIS data is also used by Automated Warning Systems (AWS). The spatial and temporal resolution of a station network can be that of a mesonet or sometimes a constituent network in a network of station networks comprising a mesonet. The data is often considered proprietary although it is typically ingested into the major numerical weather prediction models.

Meteorological Service Singapore (MSS) is the national meteorological service of Singapore. It is responsible for gathering and recording weather data across the country, issuing weather forecasts, and performing research into Singapore's weather and climate. It is a division of the National Environment Agency, a statutory board under the Ministry of Sustainability and the Environment.

References

  1. 1 2 3 4 5 6 7 McManus, Kevin. "A Bright Forecast for a New Venture." The Washington Post 24 November 1994: Style Plus.
  2. "Topper Shutt | Chief Meteorologist". www.wusa9.com. February 23, 2011. Archived from the original on May 22, 2011. Retrieved February 22, 2024.
  3. 1 2 3 4 5 6 7 8 Automated Weather Source Demo , retrieved 2024-02-20
  4. 1 2 Automated Weather Source Promo WUSA-TV 9 , retrieved 2024-02-22
  5. Girard, Keith F. "Storm Spotters Keep Eyes on Skies." The Washington Post 9 May 1985: MD1.
  6. Texas Weather Instruments. "Downloads -- Weather Instruments by Texas Weather Instruments, Inc." 27 September 2001. Texas Weather Instruments, Inc. 29 May 2011 < "Weather Instruments by Texas Weather Instruments, Inc". Archived from the original on 2011-07-17. Retrieved 2011-06-03.>
  7. Hotchkiss, Mari R. "Company Paves Meteorological Information Highway." Computer Digest (1994): Vol. 9 No. 3.
  8. "National Weather Service. JetStream -- Automated Surface Observing Systems". NOAA . Retrieved February 22, 2024.
  9. Leffler, R.J. and J.W. Schiesl. "Issues Concerning the Interpretation of Non-Standard Temperature Observations by National Weather Service Forecast Offices." National Weather Service (1994).
  10. Meyer, S.J. and K.G. Hubbard. "Nonfederal Automated Weather Stations and Networks in the United States and Canada: a Preliminary Survey." American Meteorological Society (1992): 449-457.
  11. Davey, Christopher A., et al. "Differences Between Rooftop and Ground-Based Surface Temperatures." 6th Symposium on Integrated Observing Systems, 82nd AMS Annual Meeting. Orlando: Colorado State University, 2002. 6.2.
  12. "Web Page Under Construction". 2017-12-07. Archived from the original on 2017-12-07. Retrieved 2024-02-20.
  13. "Weatherbug". weather.weatherbug.com. Archived from the original on July 15, 2011. Retrieved February 22, 2024.
  14. Automated Weather Source WBAL Promo , retrieved 2024-02-20
  15. "Taking the Pulse of the Planet" (PDF). Germantown, MD: Earth Networks. 2012. Archived (PDF) from the original on 19 July 2019.
  16. Allemann, Andrew (13 September 2018). "Amazon buys AWS.com domain name". Domain Name Wire. Archived from the original on 20 March 2023.