Data, Tools & Models
Selected data resources, modeling tools, and conceptual utilities that support analysis, visualization, and interpretation across Green, Grey, Blue, and Intelligent domains of the GGBI Framework. This section includes hydrologic and hydrodynamic models, monitoring data sources, and intelligent tools for teaching and communication.
Purpose of This Section
This page provides a structured location for resources that support analysis of rainfall–runoff, drainage networks, river systems, estuaries, and coastal waters, as well as tools for conceptual explanation and teaching. As additional datasets, models, or utilities are prepared, they may be added here.
Monitoring & Observational Data
Representative sources of hydrologic, hydraulic, and coastal data:
- Rainfall and climate data (e.g., NOAA, local networks).
- Streamflow and river gauges (e.g., USGS NWIS).
- Tidal elevation and storm-surge records (NOAA CO-OPS).
- Water quality datasets from state and federal agencies.
- Remote sensing for land cover, elevation, and shoreline change.
These datasets support analysis in the Green, Grey, and Blue domains and are often used to calibrate hydrologic, hydraulic, or hydrodynamic models.
Hydrologic, Hydraulic & Hydrodynamic Models
Examples of models commonly used in stormwater, watershed, estuarine, and coastal analysis:
- Rainfall–runoff and stormwater models: SWMM, HEC-HMS.
- Hydraulic and river models: HEC-RAS (1D/2D), MIKE HYDRO.
- Hydrodynamic models: ADCIRC, Delft3D, EFDC.
- Wave models: SWAN, STWAVE.
- Estuarine models: ROMS, SELFE, FVCOM.
These tools help analyze Green–Grey–Blue interactions, evaluate infrastructure alternatives, and assess multi-hazard flood risks.
Conceptual Tools & Diagrams
This section may later include:
- Conceptual diagrams illustrating GGBI domains and interactions.
- Graphics for teaching waves, tides, storm surge, and runoff processes.
- Templates for explaining portfolios of measures.
- Simplified schematics for communicating key resilience concepts.
These diagrams can support both teaching and outreach.
AI-Assisted Educational & Analytical Tools
Emerging AI-supported tools are being explored for:
- Summarizing long technical documents or lecture sets.
- Drafting conceptual diagrams before refinement.
- Supporting scenario comparison or sensitivity exploration.
- Preparing multilingual explanations for teaching and outreach.
These AI-assisted materials are reviewed for technical accuracy before being used in teaching, communication, or decision support.