Glaciers and Climate Project
Mass Balance - Measuring Glacier Change
Glaciers respond to variations in climate, primarily snowfall and temperature, by changing in length and thickness. Mass balance studies are the snow and ice accounting system for glaciers, quantifying this change to understand the relationship between climate change and glaciers. Mass balance of a glacier (also referred to as "surface mass balance") is the difference between the snow accumulated in the winter and the snow and ice melted over the summer. If the mass of snow accumulated on a glacier exceeds the mass of snow and ice lost during summer months, the mass balance is positive. Likewise, if summer melting exceeds what was gained in the previous winter, the mass balance of the glacier is negative.
Mass balance is a measure of a glacier's health. Over time, mass balance data reveal how glaciers are responding to climate. For example, by analyzing data collected on reference glaciers around the world from 1976 - 2005, the World Glacier Monitoring Service calculated glacier mass loss of over 20 meters of water equivalent, with average annual melting rates doubling after the year 2000 (UNEP, WGMS 2008). An even longer mass balance data record exists with the Benchmark Glacier Research Program and shows a similar trend of mass loss for Gulkana and Wolverine Glaciers in Alaska (Van Beusekom et al, 2010). Documenting how glaciers are affected by climate change is helping to better understand how glacier change affects ecosystems and resources. Continued research will improve the accuracy of estimates of future glacier change that can guide decision-makers and stakeholders.
Traditionally, determining whether a glacier is gaining or losing mass involves measuring the change in mass at specific sites with snow stakes and snow pits, and then extrapolating these point values over the entire glacier surface. This method of measuring mass balance is field and labor intensive, consisting of repeated visits to sites dispersed along the glacier's elevation gradient in order to capture the difference in snow depth and density. Measurements are generally made twice annually, near the minimum mass of the season (fall) and the maximum mass of the season (spring), to determine seasonal mass gains and losses as well as the net change over the entire year.
Glaciers are made of several materials with different densities (given in units of kg m-3): snow that fell in the most recent winter (200-500 kg m-3), firn (snow from previous winters, 500-900 kg m-3) and ice (900 kg m-3). Because of these highly variable densities, average mass balance estimates for a glacier are presented in water-equivalent (w.e.) units. In this system, the densities and thicknesses of snow, firn and ice layers are first converted to water equivalent units. Then changes in mass balance are represented as a uniform water equivalent thickness over the entire glacier area.
Recent technological advances in remote sensing provide new opportunities to quantify how glaciers are changing. Image- and radar-based Digital Elevation Models (DEMs) provide 3D representation of a glacier's surface with meter-scale precision. DEMs allow field measurements to be extrapolated over the entire glacier. Moreover, repeat acquisitions over several years can be compared to determine total volume change of the glacier, which can be used to improve traditional stake and pit estimates of long-term mass balance trends.
The Benchmark Glacier Research Program uses standardized glaciological field methods established by Østrem and Brugman (1991) and terminology established by Mayo and others (1972) in mass balance investigations. Detailed descriptions of methods can be found in publications associated with each benchmark glacier:
In addition to measuring mass balance, most benchmark glaciers record data on climate, glacier-motion, and stream-runoff to develop a better understanding of glacier-related hydrologic processes. Decades of instrumentation and field research at benchmark glaciers have resulted in recognition of glacier flow and climate change relationship, internal water storage in glaciers, and drainage patterns of sub-glacial water. Understanding of glacier dynamics continues as the ice and water balance of benchmark glaciers are further refined. Descriptions of each benchmark glacier and associated research is found on under the Glaciers tab.
As changes in climate alter the size and extent of glaciers around the world, there will be effects on water resources, sea level rise, physical and biological ecosystems, and social systems. From water supply issues for human consumption or aquatic species needs, to impacts on local recreation based economies, and ocean circulation, glaciers are linked to our lives on may levels. Mass balance studies, such as the Benchmark Glacier Research Program, increase our understanding and predictive abilities to help adapt to the ecosystem shifts driven by climate change. The regional effects page details a wide variety of local impacts from glacier loss at the four benchmark glaciers.
12 publications matching the specified parameters were found.
Bidlake, W.R., E. G. Josberger, and M. E. Savoca, 2007, Water, Ice, and Meteorological Measurements at South Cascade Glacier, Washington, Balance Years 2004 and 2005, U.S. Geological Survey Scientific Investigations Report 2007-5055, 70 p.
Available at: https://pubs.usgs.gov/sir/2007/5055/
Bidlake, W.R., Josberger, E.G., and M.E. Savoca, 2010, Modeled and measured glacier change and related glaciological, hydrological, and meteorological conditions at South Cascade Glacier, Washington, balance and water years 2006 and 2007, U.S. Geological Survey Scientific Investigations Report 2010-5143, 82 p.
Available at: https://pubs.usgs.gov/sir/2010/5143/
Cox, L.H. and R. S. March, 2004, Comparison of geodetic and glaciological mass-balance techniques, Gulkana Glacier, Alaska, U.S.A., Journal of Glaciology, Vol. 50, no. 170, p. 363-370.
Fountain, A.G., and A. Vecchia, 1999, How many stakes does it take to measure a glacier? Geografisks Annalar, Vol. 81A, p. 563-573.
Available at: http://glaciers.pdx.edu/fountain/MyPapers/Fountain&Vecchia1999_HowManyStakes-GlacierMassBalance.pdf
Fountain, A.G., M. J. Hoffman, F. Granshaw, and J. Riedel, 2009, The benchmark glacier concept - does it work? Annals of Glaciology, Vol. 50, p. 163-168.
Available at: http://glaciers.pdx.edu/fountain/MyPapers/FountainEtAl2009_BenchmarkGlacierConcept.pdf
Fountain, A.G., R. M. Krimmel, and D. C. Trabant, 1997, A strategy for monitoring glaciers, U.S. Geological Survey Circular 1132, 19 p.
Available at: http://glaciers.pdx.edu/fountain/MyPapers/FountainTrabantKrimmelCircular1132.pdf
Harrison, W.D, L. H.Cox, R. Hock, R. S. March, and E. C. Pettit, 2009, Implications for the dynamic health of a glacier from comparison of conventional and reference-surface balances, Annals of Glaciology, Vol. 50, p. 25-30.
Josberger, E.G., W. R. Bidlake, R. S. March, and B. W. Kennedy, 2007, Glacier mass-balance fluctuations in the Pacific Northwest and Alaska, USA, Annals of Glaciology, Vol. 46, p.291-296.
March, R.S., and S. O'Neel, 2011, Gulkana Glacier, Alaska—Mass balance, meteorology, and water measurements, 1997-2001, U.S. Geological Survey Scientific Investigations Report 2011-5046, 72 p.
Available at: https://pubs.usgs.gov/sir/2011/5046/
Mayo, L.R., D. C. Trabant, and R. S. March, 2004, A 30-Year Record of Surface Mass Balance (1966-95), and Motion and Surface Altitude (1975-95) at Wolverine Glacier, Alaska, U.S. Geological Survey Open-File Report 2004-1069, 105 p.
Available at: https://pubs.er.usgs.gov/publication/ofr20041069
Reardon, B. A., J. T. Harper, and D. B. Fagre, 2008, Mass balance of a cirque glacier in the U.S. Rocky Mountains, Proceedings of the Mass Balance Measurement and Modelling Workshop, Skeikampen, Norway, 26-28 March 2008. Annals of Glaciology 50: A0741-5
Van Beusekom, A. E., S. R. O'Neel, R. S. March, L. C. Sass, L. H. Cox, 2010, Re-analysis of Alaskan benchmark glacier mass-balance data using the index method, U.S. Geological Survey Scientific Investigations Report 2010-5247, 14 p., Appendix.
Available at: https://pubs.usgs.gov/sir/2010/5247/