Digital Commons Network^™

The Importance Of Winter Dinoflagellate Blooms In Chesapeake Bay—A Missing Link In Bay Productivity, Nicole C. Millette, Sophie Clayton, Margaret Mulholland, Leah Gibala-Smith, Michael Lane

VIMS Articles

It is widely assumed that phytoplankton abundance and productivity decline during temperate winters because of low irradiance and temperatures. However, winter phytoplankton blooms commonly occur in temperate estuaries, but they are often undocumented because of reduced water quality monitoring in winter. The small body of in situ work that has been done on winter blooms suggests they can be of enormous consequence to ecosystems. However, because monitoring is often reduced or stopped altogether during winter, it is unclear how widespread these blooms are or how long they can last. We analyzed an over 30-year record of monthly phytoplankton monitoring samples …

Shellfish, Shorelines, Seagrass And Schism How Virginia Became A Leader In Coastal Marine Science, George Mapp

Miscellaneous

Since the 1930s, when William and Mary professor Donald Davis proposed hiring a state-funded biologist to address fisheries issues, Virginia marine scientists have diagnosed shellfish diseases, rejuvenated the oyster and clam fisheries, preserved wetlands and shorelines, restored seaside seagrass, and accurately modeled Chesapeake Bay circulation. This informal history looks back at the lives of the many dedicated marine scientists, advisory personnel, and administrators who led the Commonwealth through difficult times: collapse of the oyster industry, James River toxic pesticide pollution, Chesapeake Bay water quality degradation, crab and striped bass population declines, and the current challenges brought about by climate change …

Dataset: A Numerical Simulation Of The Ocean, Sea Ice And Ice Shelves In The Amundsen Sea (Antarctica) Over The Period 2006-2022 And Its Associated Code And Input Files, Pierre St-Laurent

Data

A three-dimensional numerical model of the Amundsen Sea (Antarctica) was used to simulate the period Jan.2006-Mar.2022 under consistent atmospheric/oceanic forcings, bathymetry/ice shelf topography, and model equations/parameters. The model is an implementation of the Regional Ocean Modeling System (ROMS, https://www.myroms.org/) with extensions for sea ice (Budgell 2005) and ice shelves (Dinniman et al. 2011). It simulates the ocean hydrography and circulation, sea ice thermodynamics and dynamics, and the basal melt of the ice shelves, with a uniform horizontal mesh of 1.5km and 20 topography-following vertical levels. Forcings include the ERA5 reanalysis (3-hourly), 10 tidal constituents from CATS 2008, and ocean/sea ice …

Dataset: Global Seamless Tidal Simulation Using A 3d Unstructured-Grid Model, Yinglong J. Zhang, Tomas Fernandez-Montblanc, William Pringle, Hao-Cheng Yu, Linlin Cui, Saeed Moghimi

Data

Dataset:

We present a new 3D unstructured-grid global ocean model to study both tidal and non-tidal processes, with a focus on the total water elevation. Unlike existing global ocean models, the new model resolves estuaries and rivers down to ~8m without the need for grid nesting. The model is validated with both satellite and in-situ observations for elevation, temperature and salinity. Tidal elevation solutions have a mean complex RMSE of 4.2 cm for M2 and 5.4 cm for all 5 major constituents in the deep ocean (the RMSEs for the other 4 constituents (S2, N2, K1, O1) are respectively: 2.05cm, …

Frequent Storm Surges Affect The Groundwater Of Coastal Ecosystems, Giovanna Nordio, Ryan Frederiks, Mary Hingst, Joel Carr, Matthew L. Kirwan, Et Al

VIMS Articles

Recent studies have focused on the effect of large tropical cyclones (hurricanes) on the shore, neglecting the role of less intense but more frequent events. Here we analyze the effect of the offshore tropical storm Melissa on groundwater data collected along the North America Atlantic coast. Our meta-analysis indicates that both groundwater level and specific conductivity significantly increased during Melissa, respectively reaching maximum values of 1.09 m and 25.2 mS/cm above pre-storm levels. Time to recover to pre-storm levels was 10 times greater for groundwater specific conductivity, with a median value of 20 days, while groundwater level had a median …