Federated Digital Twins for Flood Prediction and Analysis

Poster for the ESIP 2023 summer meeting. Abstract here: 

Water resource science is multidisciplinary in nature, and it not only assesses the impact from our changing climate using measurements and modeling, but it also offers science-guided, data-driven decision support. An Earth System Digital Twin (ESDT) is a dynamic, interactive, digital replica of the state and temporal evolution of Earth systems. It integrates multiple models along with observational data, and connects them with analysis, AI, and visualization tools. Together, these enable users to explore the current state of the Earth system, predict future conditions, and run hypothetical scenarios to understand how the system would evolve under various assumptions. NASA’s Advanced Information Systems Technology (AIST) Integrated Digital Earth Analysis System (IDEAS) project partners together with the France’s Science for Climate Observatory (SCO) FloodDAM Digital Twin effort is to establish an extensible architectural solution to develop digital twins of our physical environment for Earth Science. The joint effort delivers a formal system architecture with mechanisms for the outputs of one model to feed into others; for driving models with observation data; and for harmonizing observation data and model outputs for analysis. The work presents a multi-agency joint effort to define and develop digital twin for Earth system that includes continuous integration and harmonization of the latest measurements, assimilates model simulations, AI-driven scenario-based actionable predictions, and dynamic integration of the most recent, relevant observations, here with an initial focus on water resources and flood analysis case studies for proof of concept.