Elizabeth N. Cassano

TL;DR: In this paper, the authors used self-organizing maps to create a synoptic climate of the Arctic and to assess predicted changes in net precipitation over the Arctic in the 21st century.

TL;DR: This article used the self-organizing map (SOM) algorithm, an unsu- pervised learning process that codifies large, multivariate datasets onto a 2-dimensional array, or map, to study large-scale circulation patterns associated with temperature and high wind extremes at Barrow.

TL;DR: In this article, the authors used self-organizing maps (SOMs) to evaluate the synoptic circulation associated with widespread temperature extremes in four regions: 2 each in Alaska and in northern Canada during winter (December, January, and February) for 1989−2007.

TL;DR: In this paper, an improved dynamic method was proposed to model the topographic effect of precipitation on the precipitation distribution in Greenland using the modern digital elevation data of Ekholm [1996].

TL;DR: In this article, the authors explore the impact of 2007 ice conditions (the second lowest Arctic sea ice extent in the satellite era) on atmospheric circulation and surface temperatures and fluxes through a series of model experiments with the NCAR Community Atmospheric Model version 3.