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Environmental Earth Sciences

, 76:807 | Cite as

Multivariate models for predicting glacier termini

  • Osita Onyejekwe
  • Bryan Holman
  • Nezamoddin N. KachouieEmail author
Original Article

Abstract

Concerns over the rapid retreat rates of mountain glaciers have been rising as global temperatures have continued to increase. The extent of variation in the retreat of mountain glaciers can provide information about changes to different climatic conditions. Assessing the retreat rates of glaciers is crucial to assess the continuing existence of mountain glaciers and the ramifications of those retreats on water security for human societies. Therefore, mathematical and statistical models for the quantification of glacier dynamics in response to climate change are in high demand. In this research, we propose a multivariate regression model that estimates glacier change and predicts the location of glacier terminus over time, based on observed climate factors. The proposed method is applied to temporal sequences of ground observations for a number of glaciers around the globe. This model can potentially be used for monitoring glacier systems using climatic factors.

Keywords

Climate change Mountain glaciers Statistical analysis Regression Multivariate models Correlation Prediction Terminus location Climate factors 

Notes

Acknowledgements

We would like to thank Dr. Van Woesik for his constructive comments about our manuscript.

Supplementary material

12665_2017_7135_MOESM1_ESM.docx (915 kb)
Supplementary material 1 (DOCX 915 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  • Osita Onyejekwe
    • 1
  • Bryan Holman
    • 2
  • Nezamoddin N. Kachouie
    • 1
    Email author
  1. 1.Department of Mathematical SciencesFlorida Institute of TechnologyMelbourneUSA
  2. 2.Department of Ocean Engineering and SciencesFlorida Institute of TechnologyMelbourneUSA

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