‘Life is very short and what we have to do must be done in the now.’

-Audre Lorde

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Katie Brennan

PhD candidate (she/her)

University of Washington

Welcome.

My name is Katie Brennan and I’m a graduate student in the department of Atmospheric Sciences at the University of Washington. My research interests include Arctic sea ice, climate of the past, climate variablilty and data assimilation. I am advised by Professor Greg Hakim and also work closely with Professor Cecilia Bitz and Professor Ed Blanchard-Wrigglesworth. I am currently a National Science Foundation Graduate Research Fellow.

Some big picture research questions I keep coming back to include:

  • How unprecendented are the current changes to Arctic sea ice and global climate?
  • How will/did the global climate system respond to large changes in Arctic sea ice conditions?

I am passionate about equity in STEM and community outreach and enjoy pushing our community to do more and do better. I am a climate scientist alongside many other identities. I’m a 3rd generation Washingtonian, currently living and working on the traditional unceded lands of the Duwamish People. When not at my desk I enjoy backcountry skiing, climbing, running, biking, hiking, sewing, crafting and playing my ukulele.

Interests

  • Arctic sea ice
  • Climate variaiblity
  • Data assimilation
  • Linear Inverse Modelling
  • Climate of the past

Education

  • PhD in Atmospheric Sciences, expected 2022

    University of Washington

  • MS in Atmospheric Sciences, 2019

    University of Washington

  • BA in Mathematics and Physics, 2013

    Lewis and Clark College

Tools I like to use:

Python

Open source languages for life.

Statistics

Data assimilation is one of my favorite statistical tools that allows you to optimally combine models and observations. I also use Linear Inverse Models to emulate global climate models and rely on many other statistical tools to analyze my reconstructions and other data.

Climate models

Mostly I analyze and use output from global climate model simulations to acquire likely climate states and understand the relationship between climate variables.

Observations

Direct observations are great when you have them! When available I like to use satellite and other types of direct observations.

Proxy data

Proxy data (ice cores, tree rings, corals, sediment cores, etc.) can provide useful information when direct observations of climate varaibles are not available, particularly when looking at time periods before 1850.

Publications: submitted or in prep

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