Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3421-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-3421-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
28 Oct 2015
Methods for assessment of models |
| 28 Oct 2015
Towards a new multiscale air quality transport model using the fully unstructured anisotropic adaptive mesh technology of Fluidity (version 4.1.9)
J. Zheng
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
University of Chinese Academy of Sciences, Beijing 100049, China
J. Zhu
International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Z. Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, Prince Consort Road, London, SW7 2BP, UK
C. C. Pain
Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, Prince Consort Road, London, SW7 2BP, UK
J. Xiang
Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, Prince Consort Road, London, SW7 2BP, UK
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Cited
9 citations as recorded by crossref.
- Performance of Adaptive Unstructured Mesh Modelling in Idealized Advection Cases over Steep Terrains J. Li et al. 10.3390/atmos9110444
- Numerical study of COVID-19 spatial–temporal spreading in London J. Zheng et al. 10.1063/5.0048472
- High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread T. Lazebnik & A. Alexi 10.3390/math11020426
- Machine learning-based rapid response tools for regional air pollution modelling D. Xiao et al. 10.1016/j.atmosenv.2018.11.051
- A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes J. Zheng et al. 10.1016/j.atmosenv.2020.117431
- Demonstration of a three-dimensional dynamically adaptive atmospheric dynamic framework for the simulation of mountain waves J. Li et al. 10.1007/s00703-021-00828-8
- A long short-term memory neural network-based error estimator for three-dimensional dynamically adaptive mesh generation X. Wu et al. 10.1063/5.0172020
- Modeling for understanding of coronavirus disease-2019 (COVID-19) spread and design of an isolation room in a hospital X. Wu et al. 10.1063/5.0135247
- Unstructured mesh adaptivity for urban flooding modelling R. Hu et al. 10.1016/j.jhydrol.2018.02.078
9 citations as recorded by crossref.
- Performance of Adaptive Unstructured Mesh Modelling in Idealized Advection Cases over Steep Terrains J. Li et al. 10.3390/atmos9110444
- Numerical study of COVID-19 spatial–temporal spreading in London J. Zheng et al. 10.1063/5.0048472
- High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread T. Lazebnik & A. Alexi 10.3390/math11020426
- Machine learning-based rapid response tools for regional air pollution modelling D. Xiao et al. 10.1016/j.atmosenv.2018.11.051
- A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes J. Zheng et al. 10.1016/j.atmosenv.2020.117431
- Demonstration of a three-dimensional dynamically adaptive atmospheric dynamic framework for the simulation of mountain waves J. Li et al. 10.1007/s00703-021-00828-8
- A long short-term memory neural network-based error estimator for three-dimensional dynamically adaptive mesh generation X. Wu et al. 10.1063/5.0172020
- Modeling for understanding of coronavirus disease-2019 (COVID-19) spread and design of an isolation room in a hospital X. Wu et al. 10.1063/5.0135247
- Unstructured mesh adaptivity for urban flooding modelling R. Hu et al. 10.1016/j.jhydrol.2018.02.078
Latest update: 19 Nov 2024
Short summary
A new anisotropic hr-adaptive mesh technique has been applied to modelling of multiscale transport phenomena. Over existing air quality models typically based on static-structured grids using a locally nesting technique, the advantage of the anisotropic hr-adaptive model has the ability to adapt the mesh according to the evolving pollutant distribution and flow features. To illustrate its capability, comparisons have been made between the results obtained using adaptive and uniform meshes.
A new anisotropic hr-adaptive mesh technique has been applied to modelling of multiscale...
