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GFDL - Geophysical Fluid Dynamics LaboratoryGFDL - Geophysical Fluid Dynamics Laboratory

Most Recent GFDL Publications

February – April 2021

  1. Balaji, V. (2021). Climbing down Charney’s ladder: Machine learning and the post-Dennard era of computational climate science. Philosophical Transactions of the Royal Society A, 379(2194). https://doi.org/10.1098/rsta.2020.0085 .
  2. 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. https://doi.org/10.1111/gcb.15576.
  3. Griffiths, P. T., Murray, L. T., Zeng, G., Shin, Y. M., Abraham, N. L., Archibald, A. T., Deushi, M., Emmons, L. K., Galbally, I. E., Hassler, B., Horowitz, L. W., Keeble, J., Liu, J., Moeini, O., Naik, V., et al. (2021). Tropospheric ozone in CMIP6 Simulations. Atmospheric Chemistry and Physics, 21(5), 4187-4218. https://doi.org/10.5194/acp-21-4187-2021.
  4. Harrison, C. S., Luo, J. Y., et al. (2021). Identifying global favourable habitat for early juvenile loggerhead sea turtles. Journal of the Royal Society Interface, 18(175). https://doi.org/10.1098/rsif.2020.0799 .
  5. Ilyina, T., Li, H., Spring, A., Müller, W. A., Bopp, L., Chikamoto, M. O., Danabasoglu, G., Dobrynin, M., Dunne, J. P., et al. (2021). Predictable variations of the carbon sinks and atmospheric CO2 growth in a multi‐model framework. Geophysical Research Letters, 48(6). https://doi.org/10.1029/2020GL090695.
  6. Keeble, J, Hassler, B., Banerjee, A., Checa-Garcia, R., Chiodo, G., Davis, S., Eyring, V., Griffiths, P. T., Morgenstern, O., Nowack, P., Zeng, G., Zhang, J., Bodeker, G., Burrows, S., Cameron-Smith, P., Cugnet, D., Danek, C., Deushi, M., Horowitz, L. W., et al. (2021). Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100. Atmospheric Chemistry and Physics, 21(6), 5015-5061. https://doi.org/10.5194/acp-21-5015-2021.
  7. Knutson, T. R., Chung, M. V., Vecchi, G. A., Sun, J., Hsieh, T.-L., & Smith, A. J. (2021).  ScienceBrief Review: Climate change is probably increasing the intensity of tropical cyclones. In C. Le Quéré, P. Liss, & P. Forster (Eds.), Critical Issues in Climate Change Science. https://doi.org/10.5281/zenodo.4570334.
  8. 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.
  9. Li, L., Mahowald, N. M., Miller, R. L., Garcia-Pando, C. P., Klose, M., Hamilton, D. S., Gonçalves Ageitos, M., Ginoux, P., Balkanski, Y., Green, R. O., Kalashnikova, O. V., Kok, J. F., Obiso, V., Paynter, D. J., & Thompson, D. R. (2021). Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty. Atmospheric Chemistry and Physics, 21(5), 3973-4005. https://doi.org/10.5194/acp-21-3973-2021.
  10. 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.
  11. 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.
  12. 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.
  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. Ming, Y., Lin, P., Naik, V., Paulot, F., Horowitz, L. W., Ginoux, P., Ramaswamy, V., Loeb, N. G., Shen, Z., Singer, C. E., Ward, R. X., Zhang, Z., & Bellouin, N. (2021). Assessing the influence of COVID-19 on the shortwave radiative fluxes over the East Asian Marginal Seas. Geophysical Research Letters, 48(3). https://doi.org/10.1029/2020GL091699.
  15. 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.
  16. 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.
  17. 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.
  18. 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. https://doi.org/10.1002/lno.11709 .
  19. Seeley, J. T., & Jeevanjee, N. (2021). H2O windows and CO2 radiator fins: A clear‐sky explanation for the peak in equilibrium climate sensitivity. Geophysical Research Letters, 48(4). https://doi.org/10.1029/2020GL089609.
  20. 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.
  21. Tebaldi, C., Debeire, K., Eyring, V., Fischer, E., Fyfe, J. C., Friedlingstein, P., Knutti, R., Lowe, J., O’Neill, B., Sanderson, B., van Vuuren, D., Riahi, K., Meinshausen, M., Nicholls, Z., Tokarska, K. B., Hurtt, G. C., Kriegler, E., Lamarque, J.-F., Meehl, G. A., Moss, R. H., Bauer, S. E., Boucher, O., Brovkin, V., Byun, Y.-H., Dix, M. R., Gualdi, S., Guo, H., John, J. G., et al. (2021). Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6. Earth System Dynamics, 12(1), 253-293. https://doi.org/10.5194/esd-12-253-2021.
  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. Wang, R., Guo, X., Pan, D., Kelly, J. T., Bash, J. O., Sun, K., Paulot, F., et al. (2021). Monthly patterns of ammonia over the contiguous United States at 2 km resolution. Geophysical Research Letters, 48(5). https://doi.org/10.1029/2020GL090579.
  24. Wootten, A. M., Dixon, K. W., Adams-Smith, D., & McPherson, R. A. (2021). Statistically downscaled precipitation sensitivity to gridded observation data and downscaling technique. International Journal of Climatology, 41(2), 980-1001. https://doi.org/10.1002/joc.6716.
  25. Zhang, Y., Bushuk, M., Winton, M., Hurlin, W. J., Yang, X., Delworth, T. L., & Jia, L. (2021). Assimilation of satellite-retrieved sea ice concentration and prospects for September predictions of Arctic sea ice. Journal of Climate, 34(6), 2107-2126. https://doi.org/10.1175/JCLI-D-20-0469.1.