HR: 0800h
AN: C31A-0302 [Abstracts]
TI: Evaluation of Two Ultrasonic Snow Depth Sensors for National Weather Service Automated Surface
Observation System Sites
AU: * Brazenec, W A
EM: wab134@cnr.colostate.edu
AF: Department of Forest, Rangeland and Watershed Stewardship, Colorado State University, Fort Collins, CO
80523-1472
United States
AU: Doesken, N J
EM: nolan@atmos.colostate.edu
AF: Department of Atmospheric Sciences, Colorado State University, Fort Collins, CO 80523-1371
United States
AU: Fassnacht, S R
EM: srf@cnr.colostate.edu
AF: Department of Forest, Rangeland and Watershed Stewardship, Colorado State University, Fort Collins, CO
80523-1472
United States
AB:
In the late 1980's the National Weather Service (NWS) deployed the Automated Surface Observing System (ASOS) at airport
observing sites, eliminating the need for human observers. At the time there were no reliable sensors to measure snow depth
and the traditional snow measurements of 6 hour snowfall and snow water equivalent (SWE) were abandoned at most locations.
The National Weather Service is currently exploring the feasibility of installing ultrasonic snow depth sensors at ASOS sites
to restore snowfall measurements to the historic data record. In the 2003-2004 snow season testing of the Judd
Communications ultrasonic depth sensor began at three sites: Fort Collins, CO; Stove Prairie, CO; and New Brunswick, OH.
Preliminary results show that due to scattering of the sound pulse the Judd sensor performs poorly under windy conditions and
when low density snow is present on the snow surface. In addition to the automated data, 6 and 24 hour manual measurements
of snowfall, snow depth, snow water equivalent and gauge precipitation were collected. For the 2004-2005 snow season, 15
sites across the U.S. will test both the Judd Communications and the Campbell Scientific sensors. This poster will show
three aspects of the project: i) the magnitude and characteristics of noise in the sensor data, ii) an algorithm to convert
continuous sensor total snow depth data to the traditional NWS 6 hour snowfall measurements, and iii) a comparison of the
performance of the two sensors.
DE: 1863 Snow and ice (1827)
SC: Cryosphere [C]
MN: 2004 AGU Fall Meeting