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Synthesizing the Impacts of Ocean Acidification on Coral Reef Ecosystem Goods and Services for Future Vulnerability Assessments using an Atlantis Ecosystem Model from 2020-01-01 to 2020-12-31 (NCEI Accession 0300557)
The files described here are the Main Hawaiian Islands (MHI) Atlantis Ecosystem model input files used in for testing CMIP6 climate scenarios developed by main Hawaiian Islands ROMS. These input files were used to run forecast simulations under three different CMIP6 climate change scenarios: low-emission (SSP1-2.6), moderate-emission (SSP2-4.5), and high-emission (SSP3-7.0). Files included are parameter (.prm), initial conditions (.nc), and land-based source pollutants (LBSP) forcing files. The parameter files include a run file, biological parameters, forcing parameters (list climate and pollution forcing files), harvest parameters (fishing mortality), and physics parameters. The LBSP forcing files are time series files representing spatial deposition of nutrients and sediments from land to the nearshore regions covered by Hawaii Atlantis. In recalibrating the current model based on updated climate forcing files (ROMS projections), the parameter and initial conditions files have been adjusted since initial model development. The ROMS projections used to force Hawaii Atlantis are not included in this data set, as they are from a different project. Hawaii Atlantis was initially developed at PIFSC and further details regarding the model, as well as outputs of a model run based on older inputs, are hosted as InPort catalog item 55245. The LBSP forcing files hosted here were developed based on Ocean Tipping Points project data as part of initial model development.
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Management-Strategy Evaluation of the Main Hawaiian Islands with Atlantis Ecosystem Model: Hind-cast simulations and Ecosystem forecasting under climate scenarios (NCEI Accession 0240826)
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The data described here is the Main Hawaiian Islands (MHI) Atlantis Ecosystem model output data for biomass and catch trends of various functional groups under different scenarios. Hind-cast simulations were run for model validation, and forecast simulations were run for ecological forecasting under different climate change scenarios. The data used in the model comes from benthic and coral reef fish surveys conducted by Pacific Island Fisheries Science Center (PIFSC) RAMP cruises, recreational fishery data from MRIP, commercial fishery data administered by WPacFIN, bottomfish fishery-dependent and independent data from PIFSC, and sea turtle and monk seal data from the PIFSC. Model simulations of ecological forecasting were carried out and included 50 year forecast (2020-2070) simulations with and without the predicted effects of climate change (ocean warming and ocean acidification) evaluating changes in ecological and social state components. The MHI Atlantis Ecosystem Model incorporates the coral-specific modules that were developed for the Guam Atlantis model. The model can be used for management-strategy evaluation by simulating existing and alternative fisheries and land-use regulations and comparing the results under different management and environmental change scenarios (e.g., in terms of fish biomass, coral cover, fisherman participation).
Model parameter input files to compare effects of stream discharge scenarios on sediment deposition and concentrations around coral reefs off west Maui, Hawaii
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This dataset consists of physics-based Delft3D model and Delwaq model input files used in modeling sediment deposition and concentrations around the coral reefs of west Maui, Hawaii. The Delft3D models were used to simulate waves and currents under small (SC1) and large (‘SC2’) wave conditions for current stream discharge (‘Alt1’) and stream discharge with watershed restoration (‘Alt3’). Delft3D model results were subsequently used as forcing conditions for Delwaq models to simulate sediment transport and dispersion. The Delwaq models were used to simulate sediment transport and concentrations under the same two wave and stream discharge scenarios. The Delwaq models were run using forcing conditions generated by the corresponding Delft3D models. These input files accompany the modeling conducted for the following publication: Storlazzi, C.D., Cheriton, O.M., Cronin, K.M., van der Heijden, L.H., Winter, G., Rosenberger, K.J., Logan, J.B., and McCall, R.T., 2023, Observations of coastal circulation, waves, and sediment transport along West Maui, Hawaiʻi (November 2017–March 2018), and modeling effects of potential watershed restoration on decreasing sediment loads to adjacent coral reefs: U.S. Geological Survey Open-File Report 2022–1121, 73 p., https://doi.org/10.3133/ofr20221121.
Coral reef profiles for wave-runup prediction
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This data release includes representative cluster profiles (RCPs) from a large (>24,000) selection of coral reef topobathymetric cross-shore profiles (Scott and others, 2020). We used statistics, machine learning, and numerical modelling to develop the set of RCPs, which can be used to accurately represent the shoreline hydrodynamics of a large variety of coral reef-lined coasts around the globe. In two stages, the data were reduced by clustering cross-shore profiles based on morphology and hydrodynamic response to typical wind and swell wave conditions. By representing a large variety of coral reef morphologies with a reduced number of RCPs, a computationally feasible number of numerical model simulations can be done to obtain wave-runup estimates. The RCPs identified here can be combined with probabilistic tools that can provide an enhanced prediction given a multivariate wave and water level climate and reef ecology state. These data accompany the following publication: Scott, F., Antolinez, J.A., McCall, R.T., Storlazzi, C.D., Reniers, A., and Pearson, S., 2020, Hydro-morphological characterization of coral reefs for wave runup prediction: Frontiers in Marine Science, https://doi.org/10.3389/fmars.2020.000361.
Modeled ocean acidification data in the Gulf of Mexico and wider Caribbean using satellites and climate model data for the Ocean Acidification Products for the Gulf of Mexico and East Coast project from 2014-01-01 to 2020-12-31 (NCEI Accession 0245950)
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Scientists of the ACCRETE (Acidification, Climate, and Coral Reef Ecosystems Team) Lab of AOML’s Ocean Chemistry and Ecosystems Division (OCED) constructed a tool to monitor ocean acidification over the wider Caribbean and Gulf of Mexico. This tool utilizes satellite data and a data-assimilative hybrid model to map the components of the carbonate system of surface water. The variables provided in this dataset include partial pressure of carbon dioxide for seawater (pCO2sw), total alkalinity (TA), pH, aragonite saturation state, and calcite saturation state. This dataset represents an update to the experimental Ocean Acidification Product Suite (OAPS) developed by NOAA's Coral Reef Watch.
Model parameter input files to compare locations of coral reef restoration on different reef profiles to reduce coastal flooding
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This dataset consists of physics-based XBeach Non-hydrostatic hydrodynamic models input files used to study how coral reef restoration affects waves and wave-driven water levels over coral reefs, and the resulting wave-driven runup on the adjacent shoreline. Coral reefs are effective natural coastal flood barriers that protect adjacent communities. Coral degradation compromises the coastal protection value of reefs while also reducing their other ecosystem services, making them a target for restoration. Here we provide a physics-based evaluation of how coral restoration can reduce coastal flooding for various types of reefs. These input files accompany the modeling conducted for the following publication: Roelvink, F.E., Storlazzi, C.D., van Dongeren, A.R., and Pearson, S.G., 2021, Coral reef restorations can be optimized to reduce coastal flooding hazards: Frontiers in Marine Science, https://doi.org/10.3389/fmars.2021.653945.
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