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NOAA GFDL - Geophysical Fluid Dynamics LaboratoryGFDL - Geophysical Fluid Dynamics Laboratory

Most Recent GFDL Publications

March – May 2022

  1. Beadling, R. L., Krasting, J. P., Griffies, S. M., Hurlin, W. J., Bronselaer, B., Russell, J. L., MacGilchrist, G. A., Tesdal, J.-E., & Winton, M. (2022). Importance of the Antarctic Slope Current in the Southern Ocean response to ice sheet melt and wind stress change. Journal of Geophysical Research: Oceans, 127(5). https://doi.org/10.1029/2021JC017608.
  2. Cael, B B., Begouen Demeaux, C., Henson, S. A., Stock, C. A., Gonzalez Taboada, F., John, J. G., & Barton, A. D. (2022). Marine ecosystem changepoints spread under ocean warming in an Earth System Model. Journal of Geophysical Research: Biogeosciences, 127(5). https://doi.org/10.1029/2021JG006571.
  3. Chemke, R., Zanna, L., Orbe, C., Sentman, L. T., & Polvani, L. M. (2022). The future intensification of the North Atlantic winter storm track: the key role of dynamic ocean coupling. Journal of Climate, 35(8), 2407-2421. https://doi.org/10.1175/JCLI-D-21-0407.1.
  4. Clark, S., Hubbard, K. A., Ralston, D. K., McGillicuddy, Jr., D. J., Stock, C. A., Alexander, M. A., & Curchitser, E. N. (2022). Projected effects of climate change on Pseudo-nitzschia bloom dynamics in the Gulf of Maine. Journal of Marine Systems, 230. https://doi.org/10.1016/j.jmarsys.2022.103737.
  5. Frazer, M. E., & Ming, Y. (2022). Understanding the extratropical liquid water path feedback in mixed-phase clouds with an idealized global climate model. Journal of Climate, 35(8), 2391-2406. https://doi.org/10.1175/JCLI-D-21-0334.1.
  6. Hsieh, T.-L., Yang, W., Vecchi, G. A., & Zhao, M. (2022). Model spread in the tropical cyclone frequency and seed propensity index across global warming and ENSO-like perturbations. Geophysical Research Letters, 49(7). https://doi.org10.1029/2021GL097157.
  7. Huth, A., Adcroft, A., & Sergienko, O. V. (2022). Parameterizing tabular-iceberg decay in an ocean model. Journal of Advances in Modeling Earth Systems, 14(3). https://doi.org/10.1029/2021MS002869.
  8. Jeevanjee, N., & Zhou, L. (2022). On the resolution-dependence of anvil cloud fraction and precipitation efficiency in radiative-convective equilibrium. Journal of Advances in Modeling Earth Systems, 14(3). https://doi.org/10.1029/2021MS002759.
  9. Joh, Y., Delworth, T. L., Wittenberg, A. T., Cooke, W. F., Yang, X., Zeng, F., Jia, L., Lu, F., Johnson, N. C., Kapnick, S. B., Rosati, A., Zhang, L., & McHugh, C. 2022). Seasonal-to-decadal variability and prediction of the Kuroshio Extension in the GFDL coupled ensemble reanalysis and forecasting system. Journal of Climate, 35(11), 3515-3535. https://doi.org/10.1175/JCLI-D-21-0471.1.
  10. Lim, H.-G., Dunne, J. P., Stock, C. A., Ginoux, P., John, J. G., & Krasting, J. P., (2022). Oceanic and atmospheric drivers of post-El-Niño chlorophyll rebound in the equatorial Pacific. Geophysical Research Letters, 49(5). https://doi.org/10.1029/2021GL096113.
  11. Knutson, T. R., Sirutis, J. J., Bender, M. A., Tuleya, R. E., & Schenkel, B. A. (2022). Dynamical downscaling projections of late twenty-first-century U.S. landfalling hurricane activity. Climatic Change, 171, 28. https://doi.org/10.1007/s10584-022-03346-7.
  12. Krasting, J. P., De Palma, M., Sonnewald, M., Dunne, J. P., & John, J. G. (2022). Regional sensitivity patterns of Arctic Ocean acidification revealed with machine learning. Communications Earth and Environment, 3, 91. https://doi.org/10.1038/s43247-022-00419-4.
  13. Muhling, B. A., Snyder, S., Hazen, E. L., Whitlock, R., Dewar, H., Park, J.-Y., Stock, C. A., & Block, B. A. (2022). Risk and reward in foraging migrations of North Pacific albacore determined from estimates of energy intake and movement costs. Frontiers in Marine Science. https://doi.org/10.3389/fmars.2022.730428.
  14. Murakami, H., Delworth, T. L., Cooke, W. F., Kapnick, S. B., & Hsu, P.-C. (2022). Increasing frequency of anomalous precipitation events in Japan detected by a deep learning autoencoder. Earth’s Future, 10(4). https://doi.org/10.1029/2021EF002481.
  15. Murakami, H. (2022). Substantial global influence of anthropogenic aerosols on tropical cyclones over the past 40 years. Science Advances, 8(19). https://doi.org/10.1126/sciadv.abn9493.
  16. Murakami, H. & Wang, B. (2022). Patterns and frequency of projected future tropical cyclone genesis are governed by dynamic effects. Communications Earth and Environment, 3, 77. https://doi.org/10.1038/s43247-022-00410-z.
  17. Sergienko, O. V. (2022). No general stability conditions for marine ice-sheet grounding lines in the presence of feedbacks. Nature Communications, 13, 2265 https://doi.org/10.1038/s41467-022-29892-3.
  18. Stephan, C. C., Duras, J., Harris, L., Klocke, D., Putman, W. M., Taylor, M., Wedi, N., Žagar, N., & Ziemen, F. (2022). Atmospheric energy spectra in global kilometre-scale models. Tellus A: Dynamic Meteorology and Oceanography, 74, 280-299. https://doi.org/10.16993/tellusa.26.
  19. Tseng, K.-C., Johnson, N. C., Kapnick, S. B., Cooke, W. F., Delworth, T. L., Jia, L., Lu, F., McHugh, C., Murakami, H., Rosati, A., Wittenberg, A. T., Yang, X., Zeng, F., & Zhang, L. (2022). When will humanity notice its influence on atmospheric rivers? JGR Atmospheres, 127(9). https://doi.org/10.1029/2021JD036044.
  20. Xie, Y., Lin, M., Decharme, B., Delire, C., Horowitz, L. W., Lawrence, D., Li, F., & Séférian, R. (2022). Tripling of western US particulate pollution from wildfires in a warming climate. Proceedings of the National Academy of Sciences, 119(14). https://doi.org/10.1073/pnas.2111372119.
  21. Yamaguchi, R., Rodgers, K. B., Timmermann, A., Stein, K., Schlunegger, S., Bianchi, D., Dunne, J. P., & Slater, R. D. (2022). Trophic level decoupling drives future changes in phytoplankton bloom phenology. Nature Climate Change, 12, 469-476. https://doi.org/10.1038/s41558-022-01353-1.
  22. Yang, Q., Lee, C.-Y., Tippett, M. K., Chavas, D., & Knutson, T. R. (2022). Machine learning based hurricane wind reconstruction. Weather and Forecasting, 37(4), 477-493. https://doi.org/10.1175/WAF-D-21-0077.1.
  23. Zeng, Y., Milly, P. C. D., Shevliakova, E., Malyshev, S., Van Huijgevoort, M. H. J., & Dunne, K. A. (2022). Possible anthropogenic enhancement of precipitation in the Sahel-Sudan savanna by remote agricultural irrigation. Geophysical Research Letters, 49(6). https://doi.org/10.1029/2021GL096972.