Effective Variational Data Assimilation in Air-Pollution Prediction

Numerical simulations are widely used as a predictive tool to better understand complex air flows and pollution transport on the scale of individual buildings, city blocks, and entire cities. To improve prediction for air flows and pollution transport, we propose a Variational Data Assimilation (Var...

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Bibliographic Details
Main Authors: Rossella Arcucci, Christopher Pain, Yi-Ke Guo
Format: Article
Language:English
Published: Tsinghua University Press 2018-12-01
Series:Big Data Mining and Analytics
Subjects:
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2018.9020025