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Activity Number: 84 - Environmental Applications
Type: Contributed
Date/Time: Sunday, July 28, 2019 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics and the Environment
Abstract #307309 Presentation
Title: Uncertainty Quantification for Glacier Mass Balance Measurement
Author(s): Laura Boehm Vock* and Jeff La Frenierre
Companies: Gustavus Adolphus College and Gustavus Adolphus College
Keywords: spatial statistics; glacier mass balance

New technologies including UAVs (unmanned aerial vehicles) and computer vision technology allow for very high resolution estimation of the elevation of a glacier surface. The mass balance, or total volume of ice lost, is estimated by measuring the elevation in two different years. A raster surface is created of the elevation difference and mass balance is estimated by integrating over the surface. It is only since 2009 that glaciologists began seriously considering the impact of spatial correlation on their uncertainty calculations. Estimation of the spatial correlation through the semivariogram is still not the universal standard, largely because the scientists doing this work are unfamiliar with the technique and lack readily usable software. The size of the datasets requires statistical techniques that reduce computation time. We address various challenges in mass difference variance estimation including assumptions of stationarity and implications of shifting debris.

Authors who are presenting talks have a * after their name.

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