Zachary Labe
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Personal Information
Organization / Workplace
Princeton, New Jersey United States
Occupation
Postdoctoral Research Associate
Website
zacklabe.com/
About
I am a postdoctoral researcher working at NOAA Geophysical Fluid Dynamics Laboratory and the Atmospheric and Oceanic Sciences Program at Princeton University. My current research interests explore the intersection of climate variability, extreme events, decadal prediction, and data science methods. In addition to academic research, I am very passionate about improving science communication, accessibility, and outreach through engaging data visualizations.
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climate change climate science climate variability science communication science big data data science machine learning arctic neural network data visualization arctic amplification data sea ice meteorology open data accessibility antarctic communication open access open source statistics visual social media greenland media news early career thesis twitter python graphics land ice conference
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Presentations

(79)
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Research workflow - 4 June 2018

5 years ago • 207 Views

Data visualization - 4 June 2018

5 years ago • 407 Views

Aspen Global Change Institute - 12 June 2017

5 years ago • 92 Views

2018 Machine Learning and Physical Sciences Symposium

5 years ago • 108 Views

Climate Variability and Change

5 years ago • 196 Views

Linking the Quasi-Biennial Oscillation and Projected Arctic Sea-Ice Loss to Stratospheric Variability in Early Winter

5 years ago • 296 Views

Ivc 05142019 z_labe_slide_share

4 years ago • 210 Views

Melting Ice: Context, Causes, and Consequences of Polar Amplification

4 years ago • 595 Views

Improving scientific graphics of climate (change) data

4 years ago • 170 Views

ZLabe_AMS2020_presentation_01142020

4 years ago • 196 Views

ClimateCommPanel_AMS2020

4 years ago • 200 Views

Observations and climate model projections of Arctic climate change

3 years ago • 166 Views

Dissertation Defense: Zachary Labe

3 years ago • 116 Views

Refining projections of the 'warm Arctic, cold Siberia' pattern in climate model simulations

3 years ago • 91 Views

Why is it difficult to resolve future projections of Arctic-midlatitude linkages?

3 years ago • 84 Views

Trends and regional variability of observed Arctic sea-ice thickness

3 years ago • 121 Views

Disentangling Climate Forcing in Multi-Model Large Ensembles Using Neural Networks

3 years ago • 344 Views

The Pan-Arctic Impacts of Thinning Sea Ice

3 years ago • 74 Views

Improving science (communication) through data visualization

3 years ago • 207 Views

Communicating Arctic climate change through data-driven stories

3 years ago • 105 Views

Revealing climate change signals with explainable AI

3 years ago • 90 Views

Using data visualization for effective science (communication)

2 years ago • 60 Views

Climate Summit for the ABC Network

2 years ago • 55 Views

Climate Signals in CESM1 Single-Forcing Large Ensembles Revealed by Explainable Neural Networks

2 years ago • 97 Views

Making Effective Figures

2 years ago • 181 Views

Learning new climate science by opening the machine learning black box

2 years ago • 90 Views

Exploring climate model large ensembles with explainable neural networks

2 years ago • 103 Views

Assessing climate variability and change with explainable neural networks

2 years ago • 70 Views

Decadal warming slowdown predictions by an artificial neural network

2 years ago • 122 Views

Climate Change in the Arctic

2 years ago • 168 Views
Personal Information
Organization / Workplace
Princeton, New Jersey United States
Occupation
Postdoctoral Research Associate
Website
zacklabe.com/
About
I am a postdoctoral researcher working at NOAA Geophysical Fluid Dynamics Laboratory and the Atmospheric and Oceanic Sciences Program at Princeton University. My current research interests explore the intersection of climate variability, extreme events, decadal prediction, and data science methods. In addition to academic research, I am very passionate about improving science communication, accessibility, and outreach through engaging data visualizations.
Tags
climate change climate science climate variability science communication science big data data science machine learning arctic neural network data visualization arctic amplification data sea ice meteorology open data accessibility antarctic communication open access open source statistics visual social media greenland media news early career thesis twitter python graphics land ice conference
See more