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Elizabeth Agee

2019

Elizabeth Agee (2019): Below-Ground Root Structure and Ecophysiological Controls of Plant Water Flux During Drought: From Individual to Ecosystem, Michigan Publishing and the University of Michigan Library, Deep Blue, Vol Dissertations and theses

2019

Elizabeth Agee (2019): The Contributions of Root Systems to Drought Response in the Amazon Rainforest, 2019 Blue Waters Annual Report, pp332-333

2018

Elizabeth Agee (2018): Quantifying Forest Drought Resistance, 2018 Blue Waters Annual Report, pp270-271

2017

Elizabeth Agee (2017): Resolving plant functional biodiversity to quantify forest drought resistance in the Amazon, 2017 Blue Waters Annual Report, pp258-259

Blue Waters Graduate Fellow: Elizabeth Agee


Oct 3, 2016

My research is focused on the interactions between forest ecosystems and hydrology. Over 50% of global evapotranspiration comes from forested ecosystems, so this represents a significant pathway for understanding global water and energy cycling. The question that drives my research is how these pathways will respond to climate change. Using Blue Waters, I will explore how tree species in the Amazon rainforest use water in different ways and how those differences influence community resilience to drought events. It is my hope that this work will improve the representation of tropical forests in the current suite of land surface models and provide mechanistic insights into forest community dynamics.


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Ten PhD students from across the country selected as Blue Waters Graduate Fellows


Apr 19, 2016

Ten outstanding computational science PhD students from across the country have been selected to receive Blue Waters Graduate Fellowships for 2016-2017. The fellowship program, now in its third year, provides substantial support and the opportunity to leverage the petascale power of National Center for Supercomputing Applications (NCSA) at the University of Illinois’s Blue Waters supercomputer to advance their research. The awards are made to outstanding PhD graduate students who have decided to incorporate high performance computing and data analysis into their research.


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