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Anthony Arendt

Research Scientist/Engineer - Principal





Department Affiliation

Polar Science Center


B.S. Earth & Atmospheric Sciences, University of Alberta, 1995

M.S. Earth & Atmospheric Sciences, University of Alberta, 1997

Ph.D. Geophysics, University of Alaska, 2006


2000-present and while at APL-UW

Hack weeks as a model for data science education and collaboration

Huppenkothen, D., A. Arendt, D.W. Hogg, K. Ram, J.T. VanderPlas, and A. Rokem, "Hack weeks as a model for data science education and collaboration," Proc., Nat. Acad. Sci. USA, 115, 8872-8877, doi:10.1073/pnas.1717196115, 2018.

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4 Sep 2018

As scientific disciplines grapple with more datasets of rapidly increasing complexity and size, new approaches are urgently required to introduce new statistical and computational tools into research communities and improve the cross-disciplinary exchange of ideas. In this paper, we introduce a type of scientific workshop, called a hack week, which allows for fast dissemination of new methodologies into scientific communities and fosters exchange and collaboration within and between disciplines. We present implementations of this concept in astronomy, neuroscience, and geoscience and show that hack weeks produce positive learning outcomes, foster lasting collaborations, yield scientific results, and promote positive attitudes toward open science.

Assessing controls on mass budget and surface velocity variations of glaciers in Western Himalaya

Bhushan, S., T.H. Syed, A.A. Arendt, A.V. Kulkarni, and D. Sinha, "Assessing controls on mass budget and surface velocity variations of glaciers in Western Himalaya," Sci. Rep., 8, 8885, doi:10.1038/s41598-018-27014-y, 2018.

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11 Jun 2018

This study analyses spatially resolved estimates of mass budget and surface velocity of glaciers in the Zanskar Basin of Western Himalaya in the context of varying debris cover, glacier hypsometry and orientation. The regional glacier mass budget for the period of 1999–2014 is –0.38 ± 0.09 m w.e./a. Individual mass budgets of 10 major glaciers in the study area varied between –0.13 ± 0.07 and –0.66 ± 0.09 m w.e./a. Elevation changes on debris-covered ice are considerably less negative than over clean ice. At the same time, glaciers having >20% of their area covered by debris have more negative glacier-wide mass budgets than those with <20% debris cover. This paradox is likely explained by the comparatively larger ablation area of extensively debris-covered glaciers compared to clean-ice glaciers, as indicated by hypsometric analysis. Additionally, surface velocities computed for the 2013–14 period reveal near stagnant debris-covered snouts but dynamically active main trunks, with maximum recorded velocity of individual glaciers ranging between ~50 ± 5.58 and ~90 ± 5.58 m/a. The stagnant debris-covered extent, which varies from glacier-to-glacier, are also characterized by ice cliffs and melt ponds that appreciably increase the overall surface melting of debris-covered areas.

The challenge of monitoring glaciers with extreme altitudinal range: Mass-balance reconstruction for Kahiltna Glacier, Alaska

Young, J.C., A. Arendt, R. Hock, E. Pettit, "The challenge of monitoring glaciers with extreme altitudinal range: Mass-balance reconstruction for Kahiltna Glacier, Alaska," J. Glaciol., 64, 75-88, doi:10.1017/jog.2017.80, 2018.

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1 Feb 2018

Glaciers spanning large altitudinal ranges often experience different climatic regimes with elevation, creating challenges in acquiring mass-balance and climate observations that represent the entire glacier. We use mixed methods to reconstruct the 1991–2014 mass balance of the Kahiltna Glacier in Alaska, a large (503 km2) glacier with one of the greatest elevation ranges globally (264–6108 m a.s.l.). We calibrate an enhanced temperature index model to glacier-wide mass balances from repeat laser altimetry and point observations, finding a mean net mass-balance rate of –0.74 m w.e. a-1 (± σ = 0.04, std dev. of the best-performing model simulations). Results are validated against mass changes from NASA's Gravity Recovery and Climate Experiment (GRACE) satellites, a novel approach at the individual glacier scale. Correlation is strong between the detrended model- and GRACE-derived mass change time series (R2 = 0.58 and p << 0.001), and between summer (R2 = 0.69 and p = 0.003) and annual (R2 = 0.63 and p = 0.006) balances, lending greater confidence to our modeling results. We find poor correlation, however, between modeled glacier-wide balances and recent single-stake monitoring. Finally, we make recommendations for monitoring glaciers with extreme altitudinal ranges, including characterizing precipitation via snow radar profiling.

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In The News

Scientists unravel the ocean's mysteries with cloud computing

UW Information Technology, Elizabeth Sharpe

The OOI Cabled Array is delivering data on a scale that was previously not possible. More than 140 instruments are working simultaneously.

That’s why oceanographers teamed up with data and research computing experts to organize a unique event at the University of Washington in late August 2018 to help ocean scientists learn the computational tools, techniques, data management and analytical skills needed to handle this massive amount of data.

8 Nov 2018

Hack week: Study supports collaborative, participant-driven approach for researchers to learn data science from their peers

UW News, James Urton

Science has become a big-data endeavor. But scientists are not universally adept in "data science" — the computing and statistical skillsets needed to handle, sort, analyze and draw conclusions from big data. Now a team from the University of Washington, New York University and the University of California, Berkeley has developed an interactive workshop in data science for researchers at multiple stages of their careers.

23 Aug 2018

Scientists seek U.S. backcountry skiers to measure snowpack

The Washington Post, Dan Joling

NASA’s earth science arm is funding research that recruits citizen scientists on skis, snowshoes and snowmobiles to measure snow depth in backcountry locations of the Pacific Northwest and Alaska. The snowpack measurements are incorporated into computer models estimating "snow-water equivalent," the amount of liquid water contained in snow cover, of a watershed.

5 Jan 2018

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