Mission to Understand Emissions: How can we assess air pollutant and greenhouse gas emissions from space today to shape the science and policies of to
Lead Research Organisation:
University of Leicester
Department Name: Physics and Astronomy
Abstract
Project Highlights:
Develop new understanding of anthropogenic emissions from point sources
Generate evidence for joined up climate and air quality policy
Drive the development of the next generation of satellite remote sensing techniques
Overview (including 1 high quality image or figure):
As we move toward stricter air quality guidelines and more ambitious climate targets, it is imperative that we understand emissions from key point and small area sources such as power stations, mines, landfills, and other industrial facilities, in order to best target our efforts. We additionally need to monitor changes over time to evaluate the effectiveness of reduction measures. To do this on a global scale we must utilise current and future satellite technologies and high-resolution atmospheric models.
This project will utilise current satellite data and the cutting-edge model WRF-Chem to understand greenhouse gas and air pollutant emissions from important point sources including power stations, mines, and landfills. Evaluation of performance of satellite data will be conducted, and evidence for policy pathways explored. Data from Sentinel 5P TROPOMI will be used in the first instance, with a focus on nitrogen dioxide and methane emission quantification. This will be coupled with the WRF-Chem model. Requirements for future data streams will be defined, with a view to satisfying the needs of policy decisionmakers of the future.
A key element of this PhD will be understanding how environmental data products and analysis can be generated to best meet the needs of policy stakeholders. The supervisory team have strong links with local, national and international policy stakeholders in both air pollution and greenhouse gas contexts.
In addition to providing evidence for policy, this PhD will also develop advice on what future satellite observations are needed, and feed into building the case for future missions for air quality and greenhouse gas remote sensing, to ensure that future generations have a high quality long term record of point source emissions as policies and technologies evolve.
Methodology:
Data from Sentinel 5P TROPOMI will be used in the first instance, with a focus on nitrogen dioxide and methane emission quantification from important point sources. This will be coupled with the WRF-Chem model. You will first apply existing methodologies to quantifying emissions of these two gases, and relate those to other emissions. You will then build upon these methods to develop new techniques and expand to additional atmospheric species. Following this, you will generate a novel point source emissions catalogue for greenhouse gas and air pollutant emissions, compare these to bottom-up estimates calculated for the facilities, and put this information into a format actionable by policy stakeholders and site operators. You will then utilise these data to conduct joined up analysis for targeted emission reduction measures in the context of joined up air quality and climate change policy development.
Develop new understanding of anthropogenic emissions from point sources
Generate evidence for joined up climate and air quality policy
Drive the development of the next generation of satellite remote sensing techniques
Overview (including 1 high quality image or figure):
As we move toward stricter air quality guidelines and more ambitious climate targets, it is imperative that we understand emissions from key point and small area sources such as power stations, mines, landfills, and other industrial facilities, in order to best target our efforts. We additionally need to monitor changes over time to evaluate the effectiveness of reduction measures. To do this on a global scale we must utilise current and future satellite technologies and high-resolution atmospheric models.
This project will utilise current satellite data and the cutting-edge model WRF-Chem to understand greenhouse gas and air pollutant emissions from important point sources including power stations, mines, and landfills. Evaluation of performance of satellite data will be conducted, and evidence for policy pathways explored. Data from Sentinel 5P TROPOMI will be used in the first instance, with a focus on nitrogen dioxide and methane emission quantification. This will be coupled with the WRF-Chem model. Requirements for future data streams will be defined, with a view to satisfying the needs of policy decisionmakers of the future.
A key element of this PhD will be understanding how environmental data products and analysis can be generated to best meet the needs of policy stakeholders. The supervisory team have strong links with local, national and international policy stakeholders in both air pollution and greenhouse gas contexts.
In addition to providing evidence for policy, this PhD will also develop advice on what future satellite observations are needed, and feed into building the case for future missions for air quality and greenhouse gas remote sensing, to ensure that future generations have a high quality long term record of point source emissions as policies and technologies evolve.
Methodology:
Data from Sentinel 5P TROPOMI will be used in the first instance, with a focus on nitrogen dioxide and methane emission quantification from important point sources. This will be coupled with the WRF-Chem model. You will first apply existing methodologies to quantifying emissions of these two gases, and relate those to other emissions. You will then build upon these methods to develop new techniques and expand to additional atmospheric species. Following this, you will generate a novel point source emissions catalogue for greenhouse gas and air pollutant emissions, compare these to bottom-up estimates calculated for the facilities, and put this information into a format actionable by policy stakeholders and site operators. You will then utilise these data to conduct joined up analysis for targeted emission reduction measures in the context of joined up air quality and climate change policy development.
Organisations
People |
ORCID iD |
| Steven Heer (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| NE/S007350/1 | 30/09/2019 | 29/09/2028 | |||
| 2925823 | Studentship | NE/S007350/1 | 30/09/2024 | 30/03/2028 | Steven Heer |