I am an Associate Research Scientist at Yale University. My research focuses on the global carbon cycle, particularly air-sea CO2 fluxes. I combine biogeochemical models, observational datasets, and machine learning to quantify both historical fluxes and those associated with ocean-based carbon dioxide removal interventions. Currently, I am investigating the sources of uncertainty in air-sea CO2 fluxes, with a focus on how biological and physical processes shape the spatial patterns of nutrients and pCO2, and how these patterns evolve under changing climate and ecosystems. I also study GHG emissions accounting and stocktaking as tools to evaluate mitigation effectiveness. I am committed to open science, ensuring that my data and results are accessible and reproducible.
January 2025 - Present
Supervisor: Matthew Eisaman
My research focused on quantifying uncertainty air-sea CO2 flux
January 2024 - December 2024
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
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
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
Supervisor: Galen McKinley
Title: Global Ocean Carbon Dioxide Flux Mapping Techniques: Evaluation, Development, and Discrepancies
2017-2020
Supervisor: Galen McKinley
2014-2017
Supervisor: Jay Austin
Title: Modeling near-inertial waves in Lake Superior
2012-2014
2007-2012
Gloege, Lucas and Eisaman, M. D. (2025). Regional uncertainty analysis in the air–sea CO2 flux. EEarth and Space Science 12(6):e2024EA004032 https://doi.org/10.5194/essd-2025-255
Jiang, L.-Q., Fay, A., M¨ uller, J. D., Keppler, L., Carroll, D., Lauvset, S. K., DeVries, T., Hauck, J., R¨ odenbeck, C., Gregor, L., Metzl, N., Fassbender, A. J., Gattuso, J.-P., Landsch¨ utzer, P., Wanninkhof, R., Sabine, C., Alin, S. R., Hoppema, M., Olsen, A., Humphreys, M. P., Azetsu-Scott, K., Bakker, D. C. E., Barbero, L., Bates, N. R., Besemer, N., Bittig, H. C., Boyd, A. E., Broull´ on, D., Cai, W.-J., Carter, B. R., Chau, T.-T.-T., Chen, C.-T. A., Cyr, F., Dore, J. E., Enochs, I., Feely, R. A., Garcia, H. E., Gehlen, M., Gloege, Lucas, Gonz´ alez-D´ avila, M., Gruber, N., Iida, Y., Ishii, M., Kennedy, E., Kozyr, A., Lange, N., Lo Monaco, C., Manzello, D. P., McKinley, G. A., Monacci, N. M., Padin, X. A., Palacio-Castro, A. M., P´ erez, F. F., Roobaert, A., Santana-Casiano, J. M., Sharp, J., Sutton, A., Swift, J., Tanhua, T., Telszewski, M., Terhaar, J., van Hooidonk, R., Velo, A., Watson, A. J., White, A. E., Wu, Z., Yoo, H., and Zeng, J. (2025). Synthesis of data products for ocean carbonate chemistry. Earth System Science Data Discussions 2025:1–72 https://doi.org/10.5194/essd-2025-255
Heimdal, T. H., McKinley, G. A., Sutton, A. J., Fay, A. R., and Gloege, Lucas (2024). Assessing improvements in global ocean pCO2 machine learning reconstructions with southern ocean autonomous sampling. Biogeosciences 21:2159––217 https://doi.org/10.5194/bg-21-2159-2024
DeVries, T., Yamamoto, K., Wanninkhof, R., Gruber, N., Hauck, J., M¨ uller, J. D., Bopp, L., Carroll, D., Carter, B., Chau, T.-T.-T., Doney, S., Gehlen, M., Gloege, Lucas, Gregor, L., Henson, S., Kim, J. H., Iida, Y., Ilyina, T., Landsch¨ utzer, P., Qu´ er ´ e, C. L., Munro, D., Nissen, C., Patara, L., Perez, F. F., Resplandy, L., Rodgers, K., Schwinger, J., S´ ef´ erian, R., Sicardi, V., Terhaar, J., Tri˜ nanes, J., Tsujino, H., Watson, A., Yasunaka, S., and Zeng, J. (2023). Magnitude, trends, and variability of the global ocean carbon sink from 1985-2018. GlobalBiogeochemical Cycles e2023GB007780 https://doi.org/10.1029/2023GB007780
Rodgers, K. B., Schwinger, J., Fassbender, A. J., Landsch¨ utzer, P., Yamaguchi, R., Frenzel, H., Stein, K., M¨ uller, J. D., Goris, N., Sharma, S., Bushinsky, S., Chau, T.-T.-T., Gehlen, M., Gallego, M. A., Gloege, Lucas, Gregor, L., Gruber, N., Hauck, J., Iida, Y., Ishii, M., Keppler, L., Kim, J.-E., Schlunegger, S., Tjiputra, J., Toyama, K., Ayar, P. V., and Velo, A. (2023). Seasonal variability of the surface ocean carbon cycle: A synthesis. GlobalBiogeochemical Cycles e2023GB007798 https://doi.org/10.1029/2023GB007798
Friedlingstein, P., O’sullivan, M., Jones, M., Andrew, R., Gregor, L., Hauck, J., Le Qu´er´ e, C., Luijkx, I., Olsen, A., Peters, G., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J., Ciais, P., Jackson, R., Alin, S., Alkama, R., Arneth, A., Arora, V., Bates, N., Becker, M., Bellouin, N., Bittig, H., Bopp, L., Chevallier, F., Chini, L., Cronin, M., Evans, W., Falk, S., Feely, R., Gasser, T., Gehlen, M., Gkritzalis, T., Gloege, Lucas, Grassi, ¨ G., Gruber, N., G¨ urses, O., Harris, I., Hefner, M., Houghton, R., Hurtt, G., Iida, Y., Ilyina, T., Jain, A., Jersild, A., Kadono, K., Kato, E., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken, J., Landsch¨ utzer, P., Lef` evre, N., Lindsay, K., Liu, J., Liu, Z., Marland, G., Mayot, N., Mcgrath, M., Metzl, N., Monacci, N., Munro, D., Nakaoka, S., Niwa, Y., O’brien, K., Ono, T., Palmer, P., Pan, N., Pierrot, D., Pocock, K., Poulter, B., Resplandy, L., Robertson, E., R¨ odenbeck, C., Rodriguez, C., Rosan, T., Schwinger, J., S´ ef´ erian, R., Shutler, J., Skjelvan, I., Steinhoff, T., Sun, Q., Sutton, A., Sweeney, C., Takao, S., Tanhua, T., Tans, P., Tian, X., Tian, H., Tilbrook, B., Tsujino, H., Tubiello, F., Van Der Werf, G., Walker, A., Wanninkhof, R., Whitehead, C., Willstrand Wranne, A., Wright, R., Yuan, W., Yue, C., Yue, X., Zaehle, S., Zeng, J., and Zheng, B.(2022). Global Carbon Budget 2022 Earth System Science Data. 14(11):4811–4900 https://doi.org/10.5194/essd-14-4811-2022
Bennington, V.S., Gloege, L., and McKinley, G.A. (2022). Variability in the global ocean carbon sink from 1959-2020 by correcting models with observations. Geophys. Res. Lett. 49:e2022GL098632 https://doi.org/10.1029/2022GL098632
Gloege, Lucas, Kornhuber, K., Skulovich, O., Pal, I., Zhou, S., Ciais, P., and Gentine, P. (2022). Land-atmosphere cascade fueled the 2020 siberian heatwave. AGU Advances 3(6):e2021AV000619 https://doi.org/10.1029/2021AV000619
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
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
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
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
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
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
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
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
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
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