Air pollution removed by vegetation in the UK, 2015
This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates annual averaged atmospheric composition at approximately 5Km grid for the year 2015 for a set of vegetation removal experiments.
* UK current vegetation
* UK no vegetation
* UK Urban current vegetation
* UK No urban vegetation
* UK Urban 25% open greenspace conversion
* UK Urban 50% open greenspace conversion
The EMEP model version used here is the rv4.10 and rv4.17, and the WRF model version is the 3.7.1.
This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability and the Office of National Statistics to support the ONS-Defra natural capital accounting programme in the UK.
* UK current vegetation
* UK no vegetation
* UK Urban current vegetation
* UK No urban vegetation
* UK Urban 25% open greenspace conversion
* UK Urban 50% open greenspace conversion
The EMEP model version used here is the rv4.10 and rv4.17, and the WRF model version is the 3.7.1.
This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability and the Office of National Statistics to support the ONS-Defra natural capital accounting programme in the UK.
Publication date: 2020-10-22
These data are held and managed by the Environmental Information Data Centre, hosted at UKCEH.
For more details and to access the data, go to https://catalogue.ceh.ac.uk/id/bad6721c-574b-4229-b023-c7b13ae4c099
Where/When
- Study area
-
- Temporal extent
-
2015-01-01 to 2015-12-31
Provenance & quality
The EMEP4UK atmospheric chemistry transport model calculated annual average concentrations and annual total for depositions for a model domain covering the UK with a resolution of about 5x6km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn).
The data are processed from the full EMEP4UK model output to subset to a selection of variables only relevant for the vegetation removal work. The ncks nco command version 4.9.3 (nco - The netCDF Operators that comprises a dozen standalone command-line programs that take netCDF and/or DAP files as input) was used to subset the model outpus. R was used to access the AURN dataset to evaluate the EMEP4UK model output.
Your use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error-free or fit for your intended use.
The data are processed from the full EMEP4UK model output to subset to a selection of variables only relevant for the vegetation removal work. The ncks nco command version 4.9.3 (nco - The netCDF Operators that comprises a dozen standalone command-line programs that take netCDF and/or DAP files as input) was used to subset the model outpus. R was used to access the AURN dataset to evaluate the EMEP4UK model output.
Your use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error-free or fit for your intended use.
Supplemental information
Correspondence/contact details
Dr. Massimo Vieno
UK Centre for Ecology & Hydrology
Bush Estate
Penicuik
Midlothian
EH26 0QB
UNITED KINGDOM
enquiries@ceh.ac.uk
Penicuik
Midlothian
EH26 0QB
UNITED KINGDOM
Other contacts
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC Environmental Information Data Centreinfo@eidc.ac.uk
- Rights Holder
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UK Centre for Ecology & Hydrologyenquiries@ceh.ac.uk
Additional metadata
- Topic categories
- Climatology / Meteorology / Atmosphere
- Keywords
- Air, Air Quality, Clean air, EMEP, Modelling, Pollution, UK-SCAPE, UK Status, Change and Projections of the Environment
- INSPIRE Theme
- Atmospheric Conditions
- Funding
- Natural Environment Research Council Award: NE/R016429/1
- Spatial representation type
- Raster
- Spatial reference system
- WGS 84
- Last updated
- 25 June 2021 18:36