Journal Highlights

Improved Moving Window Cross-Spectral Analysis for Resolving Large Temporal Seismic Velocity Changes in Permafrost

Editor’s Highlight—

This paper describes the use of noise-based seismic monitoring to study seasonal changes in the seismic properties of permafrost. This work has broader applicability in polar science. Monitoring in the polar regions at high spatial and temporal scales is of great interest, and in the last two years there have been a number of papers on ice sheet and glacier monitoring that use seismology. This is the first concerning monitoring permafrost and could open a new conversation into non-glacier and non-ice sheet polar seismic monitoring. Other interesting applications of seismic monitoring of dynamic polar processes such as freeze/thaw are likely to emerge in the coming years.


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Featured Special Collection

A Census of Atmospheric Variability from Seconds to Decades 

The atmosphere varies naturally on all length scales from millimeters to thousands of kilometers, and on all time scales from seconds to decades and longer.  This special collection of Geophysical Research Letters synthesizes and summarizes that variability through a phenomenological census.  The collection brings together some of the most influential and definitive papers to have been published in this journal in recent years.  The topics covered include turbulence on time scales of seconds and minutes, gravity waves on time scales of hours, weather systems on time scales of days, atmospheric blocking on time scales of weeks, the Madden–Julian Oscillation on time scales of months, the Quasi-Biennial Oscillation and El Niño–Southern Oscillation on time scales of years, and the North Atlantic, Arctic, Antarctic, Pacific Decadal, and Atlantic Multi-decadal Oscillations on time scales of decades.  The collection is accompanied by a Commentary article, which provides an authoritative, concise, and accessible point of reference for the most important modes of atmospheric variability.

A Census of Atmospheric Variability from Seconds to Decades