Document


Title

Remote automatic weather station for resource and fire management agencies
Document Type: Book
Author(s): J. R. Warren; D. L. Vance
Publication Year: 1981

Cataloging Information

Keyword(s):
  • air temperature
  • fire danger rating
  • fire management
  • fuel management
  • humidity
  • Maryland
  • precipitation
  • temperature
  • weather observations
  • wind
Region(s):
Record Maintained By:
Record Last Modified: August 1, 2018
FRAMES Record Number: 39083
Tall Timbers Record Number: 13712
TTRS Location Status: In-file
TTRS Call Number: A13.88: INT-116 DDW
TTRS Abstract Status: Fair use, Okay, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.

Description

From the Research Summary: 'Remote Automatic Weather Stations (FAWS) have been developed and are now operational across the nation in a variety of geographical areas. RAWS acquire, process, store, and transmit accumulative precipitation, wind-speed, wind direction, air temperature, fuel temperature, relative humidity, barometric pressure, and battery voltage. RAWS will operate unattended for 6 months or longer; batteries recharged by solar panels furnish power. Weather data are retransmitted via the Geostationary operational Environmental Satellite (GOES) to the National Environmental Satellite Service (NESS), Wallops Island, Va., receiving station, and subsequently stored at the World Weather Building in Maryland. Data may be retrieved by direct dial, dedicated phone lines or through AFFIRMS. Small earth terminals (receiving stations) are also commercially available for direct reception from GOES. RAWS fulfill a long standing need for automatic weather data acquisition from remote sites. RAWS can be used nationwide as part of the National Fire-Danger Rating System, in clusters over an area of concern for research, or individually for local weather. RAWS have been field proven, are operational, and are currently available from two qualified commercial manufacturers.'

Citation:
Warren, J. R., and D. L. Vance. 1981. Remote automatic weather station for resource and fire management agencies. General Technical Report INT - 116. Ogden, UT, USDA Forest Service Intermountain Research Station.