Simulating Hypoxia in Narragansett Bay
공공데이터포털
Data provided here include WASP input files and simulation outputs (Dissolved Oxygen (mg/l) and Phytoplankton (ug chl a/L). Simulation Outputs for base case year as well as scenario testing for changes in nutrient loads. Observed Data are also provided for sites of interest including sonde (15 min) and grab samples (depth profile). This dataset is associated with the following publication: Knightes, C. Simulating Hypoxia in a New England Estuary: WASP8 Advanced Eutrophication Module (Narragansett Bay, RI, USA). WATER. MDPI, Basel, SWITZERLAND, 15(6): 1204, (2023).
Effects of biophysical processes on diel-cycling hypoxia in a subtropical estuary - Full Dataset
공공데이터포털
This data file contains the entire dataset applied to the analysis of biophysical effects on diel-cycling hypoxia in Pensacola Bay. Data include continuous water quality, wind, water level, discharge, irradiance, continuous depth profile water quality, and bathymetric data used for generation of figures and tables. Data are stored in an open source NETCDF data structure, and contain all descriptive column headers necessary to access and understand the data.
Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system -- Full Dataset
공공데이터포털
Data for manuscript titled, "Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system". The data is organized by figure. Abstract: Vertical density stratification often plays an important role in the formation and expansion of coastal hypoxic zones through its effect on near-bed circulation. However, the impact of future climate change on estuarine circulation and hypoxia is widely unknown. Here, we developed and calibrated a three-dimensional hydrodynamic model for Pensacola Bay, a shallow subtropical estuary in the northeastern Gulf of Mexico. Hindcast simulations for 2013 – 2017 were applied to examine changes in salinity, temperature, and density distribution under future climate scenarios, including increased radiative forcing (IR), temperature (T), freshwater discharge (D), sea-level (SLR), and wind (W). Simulations showed that the impacts of climate change on modeled state variables varied over time with external forcing conditions. The model demonstrated the potential for sea-level rise (+0.48 m) and increased freshwater discharge (110%) to episodically increase vertical density gradients in the Bay. However, increased wind forcing (150%) destabilized vertical gradients, reducing the spatial extent and duration of strong stratification. For example, from March – June 2014 total area, wherein the bottom to surface density difference (Δσt) exceeded16 kg m-3, decreased by 33% (8.5 km^2) for the climate change (T+D+SLR+W) model. Wavelet coherence analysis revealed that the greatest differences in temperature and salinity between Base and T+D+SLR+W models occurred at hourly to daily timescales and primarily impacted the bottom layer. Results from this study suggest decreased density stratification and bottom temperature due to enhanced wind mixing and saltwater intrusion may mitigate future expansion of summertime hypoxia due to climate change. This dataset is associated with the following publication: Duvall, M., B. Jarvis, and Y. Wan. Impacts of climate change on estuarine stratification and implications for hypoxia within a shallow subtropical system. Estuarine Coastal and Shelf Science. Elsevier Science Ltd, New York, NY, USA, 279: 14, (2022).