Gloege L.

Luke Gloege

Postdoctoral Research Associate

I am a Postdoctoral Research Associate based at Yale University. My research focuses on understanding changes in the global carbon cycle using models, machine learning, and observations. Current research uses machine learning to emulate ocean alkainty enhancement (OAE) intervention simulations. I am particularly interested in how biology and physics mediate the spatial patterns of nutrients and pCO2 to understand how the climate and ecosystems change over time. This work can lead to efficient managment efforts in large lakes/oceans and reduce uncertainty in the global carbon budget.

# Experience

Postdoctoral Research Associate

Yale University

Supervisor: Matthew Eisaman

My research focuses on emulating ocean alkalinity enhancement (OAE) interventions simulations using machine learning.

January 2024 - Present

Climate Data Engineer

Open Earth Foundation

Supervisor: Evan Prodromou

I collaborated on open source projects including a climate accounting system and an app to help cities track their emissions.

November 2022 - December 2023

NASA Postdoctoral Fellow

NASA Goddard Institute for Space Studies

Supervisor: Anastasia Romanou

My research focuses on understanding changes in the ocean carbon cycle using coupled ocean-atmosphere models and machine learning.

December 2021 - November 2022

Postdoctoral Research Scholar

Columbia University in the City of New York

Supervisor: Pierre Gentine

I focused on the 2020 Siberian heatwave. Positive temperature anomalies over Siberia caused early snowmelt, leading to substantial earlier vegetation greening accompanied by decreased soil moisture and browning in the summer.

March 2020 - November 2021

# Education

Doctor of Philosophy

Columbia Univesity / Lamont-Doherty Earth Observatory

Department of Earth and Environmental Science

Supervisor: Galen McKinley

Title: Global Ocean Carbon Dioxide Flux Mapping Techniques: Evaluation, Development, and Discrepancies

2017-2020

Master of Science

University of Wisconsin - Madison

Department of Oceanic and Atmospher Sciences

Supervisor: Galen McKinley

Title:

Global Evaluation of Particulate Organic Carbon Parameterizations and Implications for Atmospheric pCO2

2014-2017

Master of Science

University of Minnesota - Duluth

Water Resources Sciences

Supervisor: Jay Austin

Title: Modeling near-inertial waves in Lake Superior

2012-2014

Bachelor of Science

University of Minnesota - Duluth

Physics / Mathematics

2007-2012

# Publications

  1. Bennington, V.S., Gloege, L., and McKinley, G.A. (2022) Variability in the global ocean carbon sink from 1959-2020. Read it on ESSOArchive

  2. Gloege, Lucas, Kornhuber, K., Skulovich, O., Pal, I., Zhou, S., Ciais, P., and Gentine, P. Land-atmosphere cascade fueled the 2020 siberian heatwave. AGU advances (under review)

  3. Gloege, Lucas, Yan, M., Zheng, T., and McKinley, G. A. (2022). Improved quantification of ocean carbon uptake by using machine learning to merge global models and pco2 data. Journal of Advances in Modeling Earth Systems 14:e2021MS002620 https://doi.org/10.1029/2021MS002620

  4. Gloege, Lucas, McKinley, G. A., Landschu ̈tzer, P., Lovenduski, N. S., Rodgers, K., Fay, A. R., Fro ̈licher, T., Fyfe, J., Illyina, T., Jones, S., Ro ̈denbeck, C., Schlunegger, S., and Takano, Y. (2021). Quantifying errors in observationally-based estimates of ocean carbon sink variability Global Biogeochemical Cycles, 35:e2020GB006788 https://doi.org/10.1029/2020GB006788

  5. Stamell, J., Rustagi, R. R., Gloege, Lucas, and McKinley, G. A. (2020). Strengths and weaknesses of three machine learning methods for pCO2 interpolation. Geoscientific Model Development Discussions, pages 1–25 https://doi.org/10.5194/gmd-2020-311

  6. Abell, J. T., Rahimi, S. R., Pullen, A., Lebo, Z. J., Zhang, D., Kapp, P., Gloege, Lucas, Ridge, S., Nie, J., and Winckler, G. (2020b). Model evidence for the hami basin and possibly other modern stony deserts in asia as dust sources during the plio-pleistocene. Geophysical Research Letters, 47:e2020GL090064 https://doi.org/10.1029/2020GL090064

  7. McKinley, G. A., Fay, A. R., Gloege, Lucas, and Lovenduski, N. S. (2020). External forcing explains recent decadal variability of the ocean carbon sink. AGU Advances, 1(2):e2019AV000149 https://doi.org/10.1029/2019AV000149

  8. Gloege, Lucas, McKinley, G. A., Mooney, R., Allan, J., Diebel, M., and McIntyre, P. (2020). Lake hydrodynamics intensify the potential impact of watershed pollutants on coastal ecosystem services. Environmental Research Letters, 15(6):064028 https://doi.org/10.1088/1748-9326/ab7f62

  9. Abell, J. T., Pullen, A., Lebo, Z. J., Kapp, P., Gloege, Lucas, Metcalf, A. R., Nie, J., and Winckler, G. (2020a). A wind-albedo-wind feedback driven by landscape evolution. Nature Communications, 11(1):1–9 https://doi.org/10.1038/s41467-019-13661-w

  10. Gloege, Lucas, McKinley, G. A., Mouw, C. B., and Ciochetto, A. B. (2017). Global evaluation of particulate organic carbon flux parameterizations and implications for atmospheric pCO2. Global Biogeochemical Cycles, 31(7):1192–1215 https://doi.org/10.1002/2016GB005535

  11. Mouw, C. B., Barnett, A., McKinley, G. A., Gloege, Lucas, and Pilcher, D. (2016b). Phytoplankton size impact on export flux in the global ocean. Global Biogeochemical Cycles, 30(10):1542–1562 https://doi.org/10.1002/2015GB005355

  12. Mouw, C. B., Barnett, A., McKinley, G. A., Gloege, Lucas, and Pilcher, D. (2016a). Global ocean particulate organic carbon flux merged with satellite parameters. Earth System Science Data, 8(2):531–541 https://doi.org/10.5194/essd-8-531-2016

© Copyright 2022. Hosted on IPFS. Designed by Luke Gloege. Updated January 2022.