Presentation Information
[uRAGwoU2-04]A Coastal Ecosystem Digital Twin: Integrating Numerical Modeling and Interactive Visualization
*Takashi Nakamura1 (1. Institute of Science Tokyo (Japan))
Conserving coastal ecosystems is essential for the sustainable use of the ecosystem services they provide. One serious barrier to coastal ecosystem conservation is that many people are unaware of the degraded state of these ecosystems, as underwater environments are not easily visible. Coastal ecosystem digital twins offer a means of visualizing these underwater conditions. They therefore have the potential to raise awareness of the state of coastal ecosystems and to promote conservation actions. In this context, we developed a coastal ecosystem digital twin that employs an integrated land–ocean–ecosystem model as its core engine and Cesium JS as its visualization platform.
For the integrated land–ocean–ecosystem model, we used the Soil & Water Assessment Tool Plus (SWAT+; Bieger et al., 2017) as the land model component to estimate nutrient discharge from rivers adjacent to the coastal waters. Both the Regional Ocean Modeling System (ROMS; Haidvogel et al., 2008) and Simulating WAves Nearshore (SWAN; Booij et al., 1999), embedded in the Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST) modeling system (Warner et al., 2010), were used as the ocean model components. For the ecosystem component, we employed the Marine Coupled Pelagic–Benthic Ecosystem Model with Element Tracers (Marine CoMET; Nakamura et al., in prep.). To generate the initial and boundary conditions for biogeochemical parameters, we developed a machine learning model based on GLODAP, BGC-Argo, and satellite-derived chlorophyll-a products (Nakamura, in prep.).
Three sites—Shizugawa Bay, Tokyo Bay, and Sekisei Lagoon—were selected for developing the coastal ecosystem digital twin. We also developed a web application for interactively visualizing the coastal ecosystems at these three sites, built on Cesium JS and hosted on the academic cloud platform mdx I.
For the integrated land–ocean–ecosystem model, we used the Soil & Water Assessment Tool Plus (SWAT+; Bieger et al., 2017) as the land model component to estimate nutrient discharge from rivers adjacent to the coastal waters. Both the Regional Ocean Modeling System (ROMS; Haidvogel et al., 2008) and Simulating WAves Nearshore (SWAN; Booij et al., 1999), embedded in the Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST) modeling system (Warner et al., 2010), were used as the ocean model components. For the ecosystem component, we employed the Marine Coupled Pelagic–Benthic Ecosystem Model with Element Tracers (Marine CoMET; Nakamura et al., in prep.). To generate the initial and boundary conditions for biogeochemical parameters, we developed a machine learning model based on GLODAP, BGC-Argo, and satellite-derived chlorophyll-a products (Nakamura, in prep.).
Three sites—Shizugawa Bay, Tokyo Bay, and Sekisei Lagoon—were selected for developing the coastal ecosystem digital twin. We also developed a web application for interactively visualizing the coastal ecosystems at these three sites, built on Cesium JS and hosted on the academic cloud platform mdx I.
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