Artificial Intelligence-Enabled Digital Twin for US Cities

V. R. Kotamarthi

doi:10.1175/BAMS-D-25-0229.1

Artificial Intelligence-Enabled Digital Twin for US Cities

2025-11-01

0

PRE

AI

Dimitrios K. Fytanidis

Miquel A. Gonzàlez‐Meler

DOI：10.1175/BAMS-D-25-0229.1

原文链接

原文求助

摘要

En 中文

Workshop on Developing an Artificial Intelligence-Enabled Digital Twin Using Chicago as a Benchmark What: Over 50 participants-including national laboratory researchers, academic scholars, industry representatives, and stakeholders from the City of Chicago-convened in person and online to assess the readiness and potential of an Artificial Intelligence-Enabled Digital Twin (AIDT) for urban systems, with the Greater Chicago area serving as the benchmark location. The workshop underscored that the Chicago Urban Integrated Field Laboratory provides an unparalleled testbed for developing and validating urban DTs-combining dense, multiscale observations, advanced physics-based and AI modeling capabilities, and strong stakeholder and industry engagement. Discussions highlighted available datasets, AI architectures for high resolution, multipurpose urban DTs, key applications, and near-and long-term priorities for scaling this framework within Chicago and to other U.S. and global cities. When: 29-30 July 2025 Where: Argonne National Laboratory, Lemont, Illinois

Keyword:

In situ atmospheric observations

Large eddy simulations

Mesoscale models

Artificial intelligence

Artificial Intelligence-Enabled Digital Twin for US Cities

摘要

期刊

机构

引用论文