Sharps, K.; Vieno, M.; Beck, R.
        
        Modelled mean daily surface ozone for the grassland growing season in the UK and USA in 2018
         https://doi.org/10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7
        
       
            Cite this dataset as: 
            
           
          Sharps, K.; Vieno, M.; Beck, R. (2023). Modelled mean daily surface ozone for the grassland growing season in the UK and USA in 2018. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7
             
             
            
           Download/Access
PLEASE NOTE:
           
           
         By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
 This dataset is available under the terms of the Open Government Licence  
 
          This dataset consists of a vector layer (based on 1 by 1° grid), of modelled surface ozone concentrations (ppb). The values per cell are daily mean surface ozone for the period 6am – 6pm. The seasonal average has been calculated for the grassland growing season, for the period spanning mid-April to mid-July, for the UK and the USA, for 2018. 
          
         
           Publication date: 2023-12-19
          
         View numbers valid from 19 December 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
           
          Format
Shapefile
Spatial information
          Study area
         
         
          Spatial representation type
         
         
          Vector
         
        
          Spatial reference system
         
         
          WGS 84
         
        Temporal information
          Temporal extent
         
         2018-01-01    to    2018-12-31
          
         Provenance & quality
         The surface ozone data are an output of the global EMEP (European Monitoring and Evaluation Programme) chemical transport model (version 4.45). The model uses the Weather Research and Forecast (WRF) model (4.2.2) to calculate hourly 3D meteorological data for the year 2018. The emissions data used as model inputs were based on the IIASA ECLIPSE v6a (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model for the year 2015. 
Output data from the EMEP-WRF model go through a process of quality assurance/control before use in subsequent analyses.
       Output data from the EMEP-WRF model go through a process of quality assurance/control before use in subsequent analyses.
Licensing and constraints
 This dataset is available under the terms of the Open Government Licence  
 
         Cite this dataset as: 
         
       Sharps, K.; Vieno, M.; Beck, R. (2023). Modelled mean daily surface ozone for the grassland growing season in the UK and USA in 2018. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7
          
          
         
        Related
This dataset is included in the following collections
Impacts of air pollution and climate change on floral VOC signals
Correspondence/contact details
          Sharps, K.
         
         
          UK Centre for Ecology & Hydrology
         
         
          Environment Centre Wales, Deiniol Road
Bangor
Gwynedd
LL57 2UW
UNITED KINGDOM
         
  enquiries@ceh.ac.uk
        Bangor
Gwynedd
LL57 2UW
UNITED KINGDOM
Authors
          Beck, R.
         
         
          UK Centre for Ecology & Hydrology
         
        Other contacts
          Rights holder
         
         
           UK Centre for Ecology & Hydrology
          
         
          Custodian
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Publisher
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          Additional metadata
          Funding
         
          Natural Environment Research Council  
Natural Environment Research Council Award: NE/R016429/1
Global Environment Facility (GEF)
United Nations Environment Programme (UNEP)
        Natural Environment Research Council Award: NE/R016429/1
Global Environment Facility (GEF)
United Nations Environment Programme (UNEP)
 
      
 https://orcid.org/0000-0003-3265-1505
 https://orcid.org/0000-0003-3265-1505