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Most Recent GFDL Publications

April – June 2021

  1. Bushuk, M., Winton, M., Haumann, A., Delworth, T. L., Lu, F., Zhang, Y., Jia, L., Zhang, L., Cooke, W. F., Harrison, M. J., Hurlin, W. J., Johnson, N. C., Kapnick, S. B., McHugh, C., Murakami, H., Rosati, A., Tseng, K.-C., Wittenberg, A. T., Yang, X., & Zeng, F. (2021). Seasonal prediction and predictability of regional Antarctic sea ice. Journal of Climate. https://doi.org/10.1175/JCLI-D-20-0965.1.
  2. Chen, Z., Kwon, Y.-O., Chen, K., Fratantoni, P., Gawarkiewicz, G., Joyce, T. M., Miller, T. J., Nye, J. A., Saba, V. S., & Stock, B. C. (2021). Seasonal prediction of bottom temperature on the northeast U.S. continental shelf. Journal of Geophysical Research: Oceans, 126(5). https://doi.org/10.1029/2021JC017187.
  3. Dong, W., Zhao, M., Ming, Y., & Ramaswamy, V. (2021). Representation of tropical mesoscale convective systems in a general circulation model: Climatology and response to global warming. Journal of Climate, 34(14). https://doi.org/10.1175/JCLI-D-20-0535.1.
  4. du Pontavice, H., Gascuel, D., Reygondeau, G., Stock, C. A., & Cheung, W. W. L. (2021). Climate-induced decrease in biomass flow in marine food webs may severely affect predators and ecosystem production. Global Change Biology, 27(11). https://doi.org/10.1111/gcb.15576.
  5. Friedrich, T., Powell, B. S., Stock, C. A., Hahn-Woernle, L., Dussin, R., & Curchitser, E. N. (2021). Drivers of phytoplankton blooms in Hawaii: A regional model study. Journal of Geophysical Research: Oceans, 126(5). https://doi.org/10.1029/2020JC017069.
  6. Hsu, C.-W., Yin, J., Griffies, S. M., & Dussin, R. (2021). A mechanistic analysis of tropical Pacific dynamic sea level in GFDL-OM4 under OMIP-I and OMIP-II forcings. Geoscientific Model Development Discussion, 14(5), 2471-2502. https://doi.org/10.5194/gmd-14-2471-2021.
  7. Lanzante, J. R., Dixon, K. W., Adams-Smith, D., Nath, M. J., & Whitlock, C. E. (2021). Evaluation of some distributional downscaling methods as applied to daily precipitation with an eye towards extremes. International Journal of Climatology, 41(5), 3186-3202. https://doi.org/10.1002/joc.7013.
  8. Lanzante, J. R. (2021). Testing for differences between two distributions in the presence of serial correlation using the Kolmogorov–Smirnov and Kuiper’s tests. International Journal of Climatology. https://doi.org/10.1002/joc.7196.
  9. Lim, H.-G., Park, J.-Y., Dunne, J. P., Stock, C. A., et al. (2021). Importance of human-induced nitrogen flux increases for simulated Arctic warming. Journal of Climate, 34(10), 3799-3819. https://doi.org/10.1175/JCLI-D-20-0180.1.
  10. Lin, P., & Ming, Y. (2021). Enhanced climate response to ozone depletion from ozone‐circulation coupling. JGR Atmospheres, 126(7). https://doi.org/10.1029/2020JD034286.
  11. Lockwood, J. W., Dufour, C. O., Griffies, S. M., & Winton, M. (2021). On the role of the Antarctic Slope Front on the occurrence of the Weddell Sea polynya under climate change. Journal of Climate, 34(7), 2529-2548. https://doi.org/10.1175/JCLI-D-20-0069.1.
  12. Logan, C. A., Dunne, J. P., Ryan, J. S., Baskett, M. L., & Donner, S. D. (2021). Quantifying global potential for coral evolutionary response to climate change. Nature Climate Change. https://doi.org/10.1038/s41558-021-01037-2.
  13. McGinty, N., Barton, A. D., Record, N. R., Finkel, Z. V., Johns, D. G., Stock, C. A., & Irwin, A. J. (2021). Anthropogenic climate change impacts on copepod trait biogeography. Global Change Biology, 27(7), 1431-1442. https://doi.org/10.1111/gcb.15499.
  14. Nault, B. A., Campuzano-Jost, P., Day, D. A., Jo, D. S., Schroder, J. C., Allen, H. M., Bahreini, R., Bian, H., Blake, D. R., Chin, M., Clegg, S. L., Colarco, P. R., Crounse, J. D., Cubison, M. J., DeCarlo, P. F., Dibb, J. E., Diskin, G. S., Hodzic, A., Hu, W., Katich, J. M., Kim, M. J., Kodros, J. K., Kupc, A., Lopez-Hilfiker, F. D., Marais, E. A., Middlebrook, A. M., Neuman, J. A., Nowak, J. B., Palm, B. B., Paulot, F., et al. (2021). Chemical transport models often underestimate inorganic aerosol acidity in remote regions of the atmosphere. Communications Earth and Environment, 2, 93. https://doi.org/10.1038/s43247-021-00164-0.
  15. Patel, S. H., Winton, M. V., Hatch, J. M., Haas, H. L., Saba, V. S., Fay, G., & Smolowitz, R. J. (2021). Projected shifts in loggerhead sea turtle thermal habitat in the Northwest Atlantic Ocean due to climate change. Scientific Reports, 11, 8850. https://doi.org/10.1038/s41598-021-88290-9 .
  16. Paulot, F., Paynter, D. J., Naik, V., Malyshev, S., Menzel, R., & Horowitz, L. W. (2021). Global modeling of hydrogen using GFDL-AM4.1: Sensitivity of soil removal and radiative forcing. International Journal of Hydrogen Energy, 46(24). https://doi.org/10.1016/j.ijhydene.2021.01.088.
  17. Petrik, C. M., Gonzalez Taboada, F., Stock, C. A., & Sarmiento, J. L. (2021). An updated life‐history scheme for marine fishes predicts recruitment variability and sensitivity to exploitation. Global Ecology and Biogeography, 30(4), 870-882. https://doi.org/10.1111/geb.13260.
  18. Pozo Buil, M., Jacox, M. G., Fiechter, J., Alexander, M. A., Bograd, S. J., Curchitser, E. N., Edwards, C. A., Rykaczewski, R. R., & Stock, C. A. (2021). A dynamically downscaled ensemble of future projections for the California Current System. Frontiers in Marine Science, 8. https://doi.org/10.3389/fmars.2021.612874.
  19. Ramaswamy, V., Ming, Y., & Schwarzkopf, M. D. (2021). Forcing of global hydrological changes in the twentieth and twenty-first centuries. In A. Pandey, S. Kumar, & A. Kumar (Eds). Hydrological Aspects of Climate Change (pp. 61-76). Springer, Singapore. https://doi.org/10.1007/978-981-16-0394-5.
  20. Saba, G. K., Burd, A. B., Dunne, J. P., et al. (2021). Toward a better understanding of fish-based contribution to ocean carbon flux. Limnology and Oceanography, 66(5). https://doi.org/10.1002/lno.11709.
  21. Tau, G., Crouvi, O., Enzel, Y., Teutsch, N., Ginoux, P., & Rasmussen, C. (2021). Shutting down dust emission during the middle Holocene drought in the Sonoran Desert, Arizona, USA. Geology, 49. https://doi.org/10.1130/G48550.1.
  22. Tseng, K.-C., Johnson, N. C., Maloney, E., Barnes, E. A., & Kapnick, S. B. (2021). Mapping large-scale climate variability to hydrological extremes: An application of the linear inverse model to subseasonal prediction. Journal of Climate. https://doi.org/10.1175/JCLI-D-20-0502.1.
  23. Yu, Y. & Ginoux, P. (2021). Assessing the contribution of the ENSO and MJO to Australian dust activity based on satellite- and ground-based observations. Atmospheric Chemistry and Physics, 21(11), 8511-8530. https://doi.org/10.5194/acp-21-8511-2021.