Publications

Under review

Sane, A., B. G. Reichl, A. Adcroft, L. Zanne, 2025: Machine Learned Equations for Vertical Mixing in the Ocean Surface Boundary Layer. Geophys. Res. Lett. In review.

Wu, X., A. T. Wittenberg, F. Zeng, B. G. Reichl, F. Lu, 2025: Pinpointing sources of equatorial Pacific climatological SST biases in a coupled GCM via surface flux adjustments. J. Adv. Model. Earth Sy. In revision.

Uchida, T., A. S. Bodner, B. G. Reichl, A. J. Adcroft, B. Fox-Kemper, M. Ilicak, M. Bentsen, G. M. Marques, W. Large, 2025: Representation of surface mixed-layer eddies affects the large-scale ventilation of the global ocean. Geophys. Res. Lett. In revision.

Wu, J., P. Perezhogin, D. J. Gagne, B. G. Reichl, A. C. Subramanian, E. J. Thompson, L. Zanne, 2025: Data-Driven Probabilistic Air-Sea Flux Parameterization. Geophys. Res. Lett. In review.

Published

  1. Deike, L., X. Zhou, P. Rustogi, R. H. R. Stanley, B. G. Reichl, S. M. Bushinsky, L. Resplandy, 2025: A universal wind-wave-bubble formulation for air-sea gas exchange and its impact on oxygen fluxes. Proc. Natl. Acad. Sci., 122(38), e2419319122 10.1073/pnas.2419319122

  2. Griffies, S. et al., 2025: The GFDL-CM4X climate model hierarchy, Part I: Model description and thermal properties. J. Adv. Model. Earth Sy., 17(10), e2024MS004861. 10.1029/2024MS004861

  3. Griffies et al., 2025: The GFDL-CM4X climate model hierarchy, Part II: Case studies. J. Adv. Model. Earth Sy., 17(10), e2024MS004862. 10.1029/2024MS004862

  4. Mouallem, J., K. Gao, B. G. Reichl, L. Chilutti, L. Harris, R. Benson, N. Zadeh, J.-H. Chen, C. Zhang., 2025: Development of a High-Resolution Coupled SHiELD-MOM6 Model. Part I – Model Overview, Coupling Technique, and Validation in a Regional Setup. EGUsphere. 10.5194/egusphere-2025-1690

  5. Rustogi, P., L. Resplandy, E. Liao, B. G. Reichl, L. Deike, 2025: Influence of wave-induced variability on ocean carbon uptake. Global Biogechem. Cy., 39(6). 10.1029/2024GB008382

  6. Balwada D., et al., 2024: Learning Machine Learning with Lorenz-96. Journal of Open Source Education, 7(82), 241, 10.21105/jose.00241

  7. Reichl, B. G., A. T. Wittenberg, S. M. Griffies, A. Adcroft, 2024: Improving equatorial upper ocean vertical mixing in the NOAA/GFDL OM4 model. Earth and Space Science, 11, e2023EA003485. 10.1029/2023EA003485

  8. Zhou, X., Reichl, B. G., Romero, L., & Deike, L., 2023: A sea state dependent gas transfer velocity for CO2 unifying theory, model, and field data. Earth Space Sci., 10, e2023EA003237. 10.1029/2023EA003237

  9. Sane, A., B. G. Reichl, A. Adcroft, & L. Zanna, 2023: Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks. J. Adv. Model. Earth Sy., 15, e2023MS003890. 10.1029/2023MS003890

  10. Zhou, X., Hara, T., Ginis, I., D’Asaro, E., Reichl, B. G., 2023: Evidence of Langmuir mixing effects in the upper ocean layer during tropical cyclones using observations and a coupled wave-ocean model. J. Geophys. Res. Oceans, 128, e2023JC020062. 10.1029/2023JC020062

  11. Deike, L., B. G. Reichl, F. Paulot, 2022: A mechanistic sea spray generation function based on the sea state and the physics of bubble bursting. AGU Adv., 3, e2022AV000750. 10.1029/2022AV000750

  12. Reichl, B. G., A. Adcroft, S. M. Griffies, R. Hallberg, 2022: A Potential Energy Analysis of Ocean Surface Mixed Layers. J. Geophys. Res. Oceans, 127, e2021JC018140. 10.1029/2021JC018140

  13. Kim, H.-S., J. Meixner, B. Thomas, B. G. Reichl, B. Liu, A. Mehra, A. Wallcraft, 2022: Skill Assessment of NCEP Three-way Coupled HWRF-HYCOM-WW3 Modeling System: Hurricane Laura Case Study. Weather Forecast., 37(8), 1309-1331. 10.1175/WAF-D-21-0191.1

  14. Zhou, X.-H., T. Hara, I. Ginis, E. D’Asaro, J.-Y. Hsu, & B. G. Reichl, 2022: Drag coefficient and its sea state dependence under tropical cyclones. J. Phys. Oceanogr,52(7), 1447-1470. 10.1175/JPO-D-21-0246.1

  15. Dunne, J. P. et al., 2020: The GFDL Earth System Model version 4.1 (GFDL-ESM4.1): Overall coupled model description and simulation characteristic. J. Adv. Model. Earth Sy. 12, e2019MS002015. 10.1029/2019MS002015

  16. Reichl, B.G, L. Deike, 2020: Contribution of sea-state dependent bubbles to air-sea carbon dioxide fluxes. Geophys. Res. Lett., 47, e2020GL087267. 10.1029/2020GL087267

  17. Li, Q., Reichl, B. G., et al., 2019: Comparing Ocean Surface Boundary Vertical Mixing Schemes Including Langmuir Turbulence, J. Adv. Model. Earth Sy. 11, 3545-3592. 10.1029/2019MS001810

  18. Held, I. M., et al., 2019: Structure and performance of GFDL’s CM4.0 climate model. J. Adv. Model. Earth Sy., 11, 3691– 3727. 10.1029/2019MS001829

  19. Wang, D., T. Kukulka, B.G. Reichl, T. Hara, and I. Ginis, 2019: Wind–Wave Misalignment Effects on Langmuir Turbulence in Tropical Cyclone Conditions. J. Phys. Oceanogr., 49, 3109–3126, 10.1175/JPO-D-19-0093.1

  20. Adcroft, A., et al., 2019. The GFDL global ocean and sea ice model OM4.0: Model description and simulation features. J. Adv. Model. Earth Sy., 11, 3167– 3211. 10.1029/2019MS001726

  21. Reichl, B.G. and Q. Li, 2019: A Parameterization with a Constrained Potential Energy Conversion Rate of Vertical Mixing Due to Langmuir Turbulence. J. Phys. Oceanogr., 49, 2935–2959. 10.1175/JPO-D-18-0258.1

  22. Reichl, B.G. and R. W. Hallberg, 2018: An energetically constrained planetary boundary layer (ePBL) approach for ocean climate simulations. Ocean Model. 132, 112-129. 10.1016/j.ocemod.2018.10.004

  23. Van Roekel, L.P., A.J. Adcroft, G. Danabasoglu, S.M. Griffies, B. Kauffman, W. Large, et al., 2018: The KPP boundary layer scheme for the ocean: Revisiting its formulation and benchmarking one-dimensional simulations relative to LES. J Adv. Model. Earth Sy., 10, 1-39. 10.1029/2018MS001336

  24. Wang, D., T.Kukulka, B. G. Reichl, T. Hara, I. Ginis, and P. P. Sullivan, 2018: Interaction of Langmuir Turbulence and Inertial Currents in the Ocean Surface Boundary Layer under Tropical Cyclones. J. Phys. Oceanogr., 48, 1921-1940. 10.1175/JPO-D-17-0258.1

  25. Reichl, B. G., T. Hara, I. Ginis, B. Thomas, T. Kukulka, and D. Wang, 2016: Impact of Sea-State Dependent Langmuir Turbulence on the Ocean Response to a Tropical Cyclone. Mon. Weather Rev., 144, 4569 -4590. 10.1175/MWR-D-16-0074.1

  26. Reichl, B. G., D. Wang, T. Hara, I. Ginis, and T. Kukulka, 2016: Langmuir Turbulence Parameterization in Tropical Cyclone Conditions. J. Phys. Oceanogr., 46, 863-886. 10.1175/JPO-D-15-0106.1

  27. Rabe, T. J., T. Kukulka, I. Ginis, T. Hara, B. G. Reichl, E. A. D’Asaro, R. R. Harcourt, and P. P. Sullivan, 2015: Langmuir Turbulence under Hurricane Gustav (2008). J. Phys. Oceanogr., 45, 657–677. 10.1175/JPO-D-14-0030.1

  28. Reichl, B. G., T. Hara, and I. Ginis, 2014: Sea state dependence of the wind stress over the ocean under hurricane winds. J. Geophys. Res. Oceans, 119, 30–51. 10.1002/2013JC009289