Our Cluster includes all kinds of dust researchers as we explore the source-to-sink movement of #dust in the #CriticalZone.

McKenzie Skiles is based at the University of #Utah and spoke with us at #AGU23 about their team's role in the Cluster and how being a part of the Critical Zone Collaborative Network has boosted access to resources.

#DustOnSnow #EnvironmentalScience

Cluster member Otto Lang, based at the University of #Utah, during his Friday morning #AGU23 poster session “A two decade record of dust on snow in the Great Salt Lake Basin: Interannual variability in radiative forcing and snowmelt timing”.

This work is at the core of our Dust^2 Cluster’s research. Long term data collection, how dust gets from its source to the snow surface, and how that dust is driving changing environmental processes.

🔗🗓️ https://bit.ly/agu23121503

#CriticalZone #DustOnSnow

A two decade record of dust on snow in the Great Salt Lake Basin: Interannual variability in radiative forcing and snowmelt timing

The primary watersheds of the Great Salt Lake Basin (GSLB) internally drain ove...

AGU - AGU23

McKenzie Skiles is a Dust^2 Cluster member based at the University of #Utah. She’s also the primary convener of this afternoon’s Remote Sensing of the #Cryosphere: Season Snow I session.

We’re live sharing from this #AGU23 session which contains research and findings that could affect up to a billion people on our planet.

🔗🗓️ https://bit.ly/agu23121409

#Dust #DustOnSnow #CriticalZone

Remote Sensing of the Cryosphere: Seasonal Snow I Oral

Over a billion people globally depend on snowmelt runoff to meet water demands, predominantly from snow that accumulates annually in mid-latitude mountains. Decades of observations show that this natural reservoir is at risk; snow water equivalent and snow extent are declining; even as growing populations rely more on snow water resources and the vast infrastructural networks that have been set up to store and transport runoff. This session will focus on remote sensing of seasonal snow and snow water resources from spaceborne, airborne (crewed/uncrewed aircraft), and ground based platforms. Presentations will address a range of topics including instrument and platform development, targeted campaigns, new and historical observations, analysis methods and techniques, scientific and operational applications, model integration and validation, and results from recent campaigns. We welcome submissions from a diversity of sensor types and measurement methods (e.g. radar, lidar, imaging spectroscopy, photogrammetry) and applications.

AGU - AGU23

#Nature's Where I Work feature includes Cluster member McKenzie Skiles.

Skiles' team leads the Dust^2 Cluster's projects investigating #DustOnSnow. "In areas with heavy dust deposition, such as the southern Rocky Mountains, dust accelerates melt by one or two months."

#CriticalZone #EnvironmentalScience

https://www.nature.com/articles/d41586-023-02737-9

I ski for miles in the wilderness to measure dust atop snow

Snow hydrologist McKenzie Skiles takes to her skis in rural parts of the United States each spring to track dust’s impact on water resources.

“My graduate advisor was a #snow hydrologist, and as soon as I figured out that was a job you could have, I didn't really ever look back.”

University of #Utah based McKenzie Skiles is part of the #DustOnSnow team in the Cluster and a recent guest on the Last Chair #podcast.

#CriticalZone #EnvironmentalScience

https://www.skiutah.com/blog/authors/tom-kelly/dr-mckenzie-skiles-science-of-snow

Dr. McKenzie Skiles: Science of Snowmelt

Last Chair ventured up Little Cottonwood Canyon to join Dr. McKenzie Skiles in a three-meter deep snow pit to talk about snow melt and what we can learn.

Ski Utah!
#UniversityOfUtah based McKenzie Skiles presenting about snow albedo research during #AGU22. Skiles is a collaborator on many sessions at this year's Annual Fall Meeting. #CriticalZone #DustOnSnow #SnowHydrology #SnowResearch

McKenzie Skiles is part of our #DustOnSnow team. They're also the lead author for this paper which will be presented during an oral session Wednesday morning.

"Snow property retrievals and uncertainties from satellite imaging spectroscopy based on simulated SBG datasets derived from the SnowEx ‘21 Colorado AVIRIS-NG time series"

📆 https://bit.ly/3UIlssI

#AGU22 #AGU2022 #SnowScience #CriticalZone

Snow property retrievals and uncertainties from satellite imaging spectroscopy based on simulated SBG datasets derived from the SnowEx ‘21 Colorado AVIRIS-NG time series

Snow albedo, a critical variable for climate and regional hydrology through its...

AGU - Fall Meeting 2022