Modeling

Group PI: Scott Doney

The PAL site and its data offer a unique context for building, testing and applying numerical models of marine ecosystem dynamics spanning a wide range of trophic interactions and in a region of substantial natural and anthropogenic climate change. It also provides an important end-member for comparison with other marine ecosystems. The modeling and synthesis component helps integrate the individual field and remote sensing observational efforts, quantifies mechanisms, and develops future

projections for the response of the WAP ecosystem to climate change. The biological-chemical- physical modeling component will involve a combination of three complementary research tools, pursued in parallel: forward and inverse box models, a generalized vertical 1-D modeling framework and a 3-D regional ocean general circulation model. The box models and 1-D model will be used for data analysis, development of new model components and exploration of specific hypotheses. The 3-D work will build from lessons learned in 0-D and 1-D and will be used to interpret and provide a spatial-temporal context for the field observations and to examine biological-physical signals arising from natural climate variability and climate change.

Team Members

Lead Investigators
University of Virginia
Past Post Docs
University of Virginia
Postdoctoral Researchers
University of Virginia
Postdoctoral Researchers
University of Virginia
Postdoctoral Researchers
University of Virginia
Graduate Students
University of Virginia

Recent Articles

  • Stack, M. (2023, April 30). Assessing the Influence of Storms on Sea Ice, Snow, and Adélie Penguins along the West Antarctic Peninsula. University of Virginia. https://doi.org/10.18130/H7NS-2Q98
  • Fennel, K., Mattern, J. P., Doney, S. C., Bopp, L., Moore, A. M., Wang, B., & Yu, L. (2022). Ocean biogeochemical modelling. Nature Reviews Methods Primers2(1), 76. https://doi.org/10.1038/s43586-022-00154-2
  • Boyd, P. W., Doney, S. C., Eggins, S., Ellwood, M. J., Fourquez, M., Nunn, B. L., et al. (2022). Transitioning global change experiments on Southern Ocean phytoplankton from lab to field settings: Insights and challenges. Limnology and Oceanography, lno.12175. https://doi.org/10.1002/lno.12175
  • Kim, H. H., Luo, Y.-W., Ducklow, H. W., Schofield, O. M., Steinberg, D. K., & Doney, S. C. (2021). WAP-1D-VAR v1.0: development and evaluation of a one-dimensional variational data assimilation model for the marine ecosystem along the West Antarctic Peninsula. Geoscientific Model Development14(8), 4939–4975. https://doi.org/10.5194/gmd-14-4939-2021
  • Zaiss, J., Boyd, P. W., Doney, S. C., Havenhand, J. N., & Levine, N. M. (2021). Impact of Lagrangian Sea Surface Temperature Variability on Southern Ocean Phytoplankton Community Growth Rates. Global Biogeochemical Cycles35(8). https://doi.org/10.1029/2020GB006880
  • Yang, B., Shadwick, E. H., Schultz, C., & Doney, S. C. (2021). Annual Mixed Layer Carbon Budget for the West Antarctic Peninsula Continental Shelf: Insights From Year‐Round Mooring Measurements. Journal of Geophysical Research: Oceans126(4). https://doi.org/10.1029/2020JC016920
  • Schultz, C., Doney, S. C., Hauck, J., Kavanaugh, M. T., & Schofield, O. (2021). Modeling Phytoplankton Blooms and Inorganic Carbon Responses to Sea‐Ice Variability in the West Antarctic Peninsula. Journal of Geophysical Research: Biogeosciences126(4). https://doi.org/10.1029/2020JG006227