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