Trends in Northern Hemisphere Snow Presence
Paul Parker
Co-Author
University of California Santa Cruz
Yisu Jia
Co-Author
University of North Florida
Robert Lund
Speaker
University of California, Santa Cruz
Tuesday, Aug 5: 10:35 AM - 10:55 AM
Topic-Contributed Paper Session
Music City Center
This paper develops a mathematical model and statistical methods to quantify trends in presence/absence observations of snow cover (not depths) and applies these in an analysis of Northern Hemispheric observations extracted from satellite flyovers during 1967-2021. A two state Markov chain model with periodic dynamics is introduced to analyze changes in the data in a cell by cell fashion. Trends, converted to the number of weeks of snow cover lost/gained per century, are estimated for each study cell. Uncertainty margins for these trends are developed from the model and used to assess the significance of the trend estimates. Cells with questionable data quality are explicitly identified. Among trustworthy cells, snow presence is seen to be declining in almost twice as many cells as it is advancing. While Arctic and southern latitude snow presence is found to be rapidly receding, other locations, such as Eastern Canada, are experiencing advancing snow cover.
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