Not exact matches
The highest density
network is probably the highest
measurement density ever used in mass
balance observations.
The annual
balance in meters of water equivalent determined from field
measurements networks of varying number of
measurement sites on Columbia Glacier.
On Columbia Glacier, we used a
measurement network with a maximum density of 375 points / km2, and a maximum spacing between points of 90 m and a mean spacing of 45 m. Annual mass
balance (1984 - 1998) was typically determined on Columbia Glacier from a
measurement network with a spacing of 187 points / km2 (Pelto, 1996), and a mean spacing of 50 m.
However, the consistency of the error for each year indicated by the parallel nature of the annual
balance trendlines for the varying point
networks suggests even greater accuracy was possible if the overall glacier
balance distribution has been determined at some time using a denser
measurement network (Figure 5).
On Columbia Glacier in the North Cascades, Washington and Lemon Creek Glacier Juneau Icefield, Alaska, we determined annual mass
balance from
measurement networks of varying density.
We calculated the mass
balance for each
measurement network simply from the mean of all the observations, without biasing the results according to the representativeness of the specific sites.
We had the advantage of already understanding the overall mass
balance pattern of each glacier in selecting
measurement networks that would provide the most representative coverage for the glacier given the total number of
measurements in each sample (Pelto, 1996; Miller and Pelto, 1999).
To ascertain the annual
balance of a glacier from a sparse
network of observations is optimized by detailed mapping of mass
balance across the glacier determined from a high - density
measurement network during several years.
Cogley (1999) pointed out that with a
measurement network spaced at 50 - 100 m apart the largest source of uncertainty is the error in actual point mass
balance measurement (> 0.05 m), and sampling error is negligible.
Determining the most efficient sampling pattern and identifying the overall accuracy of the sampling
network is key to assessing error in annual mass
balance measurement.
We compared the mass
balance results from a dense
network of
measurements with variously sparse
networks, to determine the error resulting from using increasingly sparse
networks.
Each
network of points was chosen to provide the most even distribution possible of
measurements across each glacier, given the known mass
balance pattern.
This 14 glacier monitoring
network, covering an area of 14,000 km2, represents the most extensive
network of mass
balance measurements for alpine glaciated areas in the world.
This paper focuses on the latter two programs, which together provides the most extensive regional
network of glacier annual
balance measurements in the world.