ERC Starting Grant · 2023
Data Aware efficient models of the urbaN microclimaTE
The share of the world’s population living in cities is rapidly increasing, and it is expected to rise to 80% by 2050. It is therefore crucial to develop new efficient and reliable methods to model the urban microclimate; in fact, these models can support urban planners and policymakers to create more comfortable and sustainable cities. High computational requirements limit existing numerical methodologies, and DANTE fits in this context and aims to create a new paradigm for fast and reliable numerical simulations bridging the fields of model order reduction, machine learning, and data assimilation. The idea is to create a research team in SISSA to answer many unresolved questions in model…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.