Trends in Northern Hemisphere Snow Presence

Jonathan Woody Co-Author
Mississippi State University
 
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.