IN026
Towards a Digital Twin of Sustainable Earth and Infrastructure

Session ID#: 161039

Session Description:
A comprehensive, trustworthy, and yet effective framework, such as a Digital Twin, is needed to enable the persistent ingest of multiple sources of observational and modeling earth system data in an accurate and efficient manner to allow near real-time visualization and decision-making as well as continuous monitoring to mitigate future impacts and improve infrastructure resilience. 

This session seeks contributions in developing intelligent virtual representations of the Earth in the form of Digital Twin or similar to address critical social and environmental issues of our time. These Digital Twin systems will incorporate characteristics such as dynamically integratable Earth system models and simulations; other relevant models (e.g., related to the world’s infrastructure); continuous and timely (including near real time and direct readout) observations (e.g., space, air, ground, over/underwater, Internet of Things (IoT), socioeconomic); long-time records; as well as big data analytics and artificial intelligence tools.

Index Terms:

1910 Data assimilation, integration and fusion [INFORMATICS]
1932 High-performance computing [INFORMATICS]
1942 Machine learning [INFORMATICS]
1998 Workflow [INFORMATICS]


Primary Convener:  Zhangshuan Hou, Pacific Northwest National Laboratory, Richland, WA, United States
Convener:  Laura Rogers, NASA Langley Research Center, Hampton, VA, United States
Student/Early Career Convener:  Laura Rogers, NASA Langley Research Center, Hampton, VA, United States
 
A Multi-Agency Collaboration Digital Twin for Flood Prediction and Analysis (Invited) (1043407)
Thomas Huang1, Cedric H David1, Jason Kang1, Kevin M Marlis1, Miles Milosevich1, Stepheny Perez1, William Phyo1, Catalina M Oaida1, Joe T Roberts2, Mark Wronkiewicz1, Sujay V Kumar3, Nishan Kumar Biswas4, Paul W Stackhouse Jr5, David Borges5, Madison Broddle6, Bradley Macpherson6, Simon Baillarin7, Gwendoline Blanchet7, Frederic Bretar8, Peter Kettig7, Raquel Rodriguez7, Sophie M Ricci9, Andrea Piacentini10, Thanh-Huy Nguyen9, Guillaume Valladeau11, Jean-Christophe Poisson11, Alice Froidevaux12, Romane Raynal12 and Thanh-Long Huynh12, (1)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)NASA Goddard Space Flight Center, Greenbelt, United States, (4)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (5)NASA Langley Research Center, Hampton, VA, United States, (6)NASA Langley Research Center, Hampton, United States, (7)Centre National d'Études Spatiales, Toulouse Cedex 9, France, (8)Centre National d'Études Spatiales, Toulouse, France, (9)CECI, CERFACS/UMR5318-CNRS, Toulouse, France, (10)CERFACS European Centre for Research and Advanced Training in Scientific Computation, Toulouse Cedex 01, France, (11)vorteX.io, Toulouse, France, (12)QuantCube Technology, Paris, France
 
Digital Twins for Actionable Climate Science (1088213)
Wilco Hazeleger, Utrecht University, Utrecht, Netherlands
 
City-Scale Street Trees Mapping through LiDAR, RGB Camera, and INS Integrated Vehicle Sensor System. (1099548)
Tackang Yang1, Youngryel Ryu2, Ryoungseob Kwon1 and Zilong Zhong3, (1)Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, Korea, Republic of (South), (2)Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea, (3)Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, South Korea
 
ILIAD Towards Digital Twins of The Ocean (1102939)
Bente Lilja Bye, Self Employed, Washington, DC, United States, Arne Jørgen Berre, SINTEF, Oslo, Norway, Georgios Sylaios, Democritus University of Thrace, Kavala, Greece, Akrivi Kiosi, Netcompany Intrasoft, Athens, Greece and Simon Van Dam, Agora Partners, Jerusalem, Israel
 
Pixels for Public Health: Towards a Digital Twin for Coastal Resilience in Hampton Roads, Virginia, USA (1122995)
Tom Allen1, Navid Tahvildari2, Sönke Dangendorf3, George McLeod4, Alex Nielsen5 and Heather Richter5, (1)Old Dominion University, Geography, Norfolk, VA, United States, (2)Old Dominion University, Civil and Environmental Engineering, Norfolk, United States, (3)Tulane University, River-Coastal Science and Engineering, New Orleans, United States, (4)Old Dominion University, Ocean and Earth Sciences, Norfolk, United States, (5)Old Dominion University, Virginia Modeling and Simulation Center, Norfolk, United States
 
Towards a Dynamic Multiscale Wildfire Digital Twin (1135697)
Milton Halem1, Jan Mandel2, Adam Kochanski3, Sen Chiao4, Zhifeng Yang5, Eugenia Kalnay6, Jennifer A. Sleeman7, Adam Bargteil8, James P Mackinnon9, John Edward Dorband1, Yaacov Yesha1, Safa Motesharrei10, Cheng Da11, John Sorkin12, Andrea Iorga13 and Samit Shivadekar1, (1)University of Maryland Baltimore County, Computer Science, Baltimore, MD, United States, (2)University of Colorado Denver, Mathematical and Statistical Sciences, Denver, CO, United States, (3)San Jose State University, San Jose, CA, United States, (4)Howard University, Physics, San Jose, United States, (5)Howard University, Washington, DC, United States, (6)University of Maryland College Park, Department of Atmospheric and Oceanic Science, College Park, MD, United States, (7)University of Maryland Baltimore County, Computer Science, Baltimore, United States, (8)University of Maryland Baltimore County, CSEE, Baltimore, United States, (9)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (10)University of Maryland College Park, Institute for Physical Science and Technology, College Park, MD, United States, (11)University of Maryland College Park, College Park, MD, United States, (12)University of Maryland Medical School, Epidemiology, Baltimore, United States, (13)University of Maryland Baltimore County, Baltimore, United States
 
Feature Matching Performance Evaluation for Retaining Wall with Different Noise and Brightness (1138061)
YongSoo Ha, Pukyong National University, Busan, Korea, Republic of (South) and Yuntae Kim, Pukyong National University, Busan, South Korea
 
Application of Low Cost Unmanned Arial Vehicle (UAV) Photogrammetric Datasets for Digital Twin Modelling (1143062)
Sunni Kanta Prasad Kushwaha, Harshit Harshit and Kamal Jain, Indian Institute of Technology Roorkee, Department of Civil Engineering, Roorkee, India
 
Developing an Information Management Framework for Environmental Digital Twins (IMFe) (1181825)
Justin James Henry Buck1, John Siddorn2, Gordon Blair3, David Boot4, Andrew Kingdon5, Alice Kloker4, Alexandra Kokkinaki6, Gwenaelle Moncoiffe1, Eleanor Blyth7, Matthew Fry8, Rachel Heaven9, Edd Lewis9, Ben Marchant10, Bruce Napier10,11, James Passmore10, Sam Pepler12, Poppy Townsend12, John Watkins13 and Kate Winfield12, (1)National Oceanography Center, BODC, Liverpool, United Kingdom, (2)National Oceanography Center, Southampton, United Kingdom, (3)UK Centre for Ecology & Hydrology, Lancaster, United Kingdom, (4)National Oceanography Centre, Southampton, United Kingdom, (5)British Geological Survey, Nottingham, United Kingdom, (6)National Oceanography Centre, BODC, Liverpool, United Kingdom, (7)UK Centre for Ecology & Hydrology, Wallingford, United Kingdom, (8)UK Centre for Ecology and Hydrology, Wallingford, United Kingdom, (9)British Geological Survey, Keyworth, United Kingdom, (10)British Geological Survey Keyworth, Nottinghamshire, United Kingdom, (11)Virtalis Ltd, Sale, United Kingdom, (12)STFC, Didcot, United Kingdom, (13)UK Centre for Ecology and Hydrology, Lancaster, United Kingdom