Developing high-resolution numerical weather prediction (NWP) for local-scale air quality prediction over cities
Lead Research Organisation:
NERC National Ctr for Atmospheric Sci
Department Name: UNLISTED
Abstract
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People |
ORCID iD |
| Lewis Blunn (Principal Investigator) |
| Description | Vertical transport of pollution from the surface due to turbulence is very important in controlling the pollution concentration within the urban area. This is the case at vertical scales ranging from the depth of the urban building layer to the depth of the urban boundary layer (approximately the lowermost 1km of the atmosphere). Also, vertical transport of pollution under buoyant (warm weather) conditions can influence the horizontal variation in pollution concentration by up to 40% at the city scale. Current air pollution models do not accurately represent this type of vertical transport. |
| Exploitation Route | The UK Met Office are currently testing a parametrisation I developed for urban canopy turbulence for use in their operational model. This should lead to improved air quality, thermal comfort and weather prediction in urban areas. The parametrisation has the potential to be used in other air quality and numerical weather predictions around the world. Efforts towards running operational air quality models at higher resolution will likely be increased to better represent the convective transport of pollution in the urban boundary layer. |
| Sectors | Environment |
| URL | https://socialmetwork.blog/2021/02/26/high-resolution-dispersion-modelling-in-the-convective-boundary-layer/ |
| Description | Negin Nazarian: LES data sharing and co-authorship |
| Organisation | University of New South Wales |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | I received data to analyse from Negin Nazarian. I have used this data in my analysis. The work has been presented at an international conference. |
| Collaborator Contribution | Provided data. |
| Impact | Results presented at international conference. |
| Start Year | 2019 |
| Description | UK Met Office |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I am running the UK Met Office weather forecast model and analysing the output. This will be used to inform them making improvements. |
| Collaborator Contribution | Guidance on using model. |
| Impact | Results presented at international conference. Trips to the Met Office to share learnings. |
| Start Year | 2016 |
| Description | Blog on my convective boundary layer dispersion research |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The blog was on the Reading Meteorology blog site. I shared it on twitter and had many positive comments. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://socialmetwork.blog/2021/02/26/high-resolution-dispersion-modelling-in-the-convective-boundar... |
| Description | Urban wind flow bubbles |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | 40 school students visited department. They took part in an activity where they learnt about urban airflow around buildings by using bubbles. The school reported an increased interest by students in studying meteorlogy. |
| Year(s) Of Engagement Activity | 2019 |