Wang, Y.; Tomlinson, S.J.; Carnell, E.J.; Pearson, C.; Vieno, M.; Nemitz, E.; Sutton, M.A.

European Monitoring and Evaluation Program Model (EMEP) daily atmospheric composition and flux output data over South Asia

https://doi.org/10.5285/54511607-6cbf-424e-b352-c982de937d0a
Download/Access
This dataset is under embargo and will be made available by 30 September 2026 at the latest   Find out more »
This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the South Asia driven by Weather and Research Forecast model meteorology (WRF). It provides daily mean atmospheric compositions and fluxes of the South Asia on a 0.1° x 0.1° resolution grid for years 2015 and 2030.
The EMEP model version used here is rv4.45, and the WRF model version is the 4.4.2.
This work was carried out within the South Asian Nitrogen Hub funded by the UK Global Challenges Research Fund (GCRF) of UKRI administered by the Natural Environment Research Council (NERC) (NE/S009019/1).
Publication date: 2026-02-17

Format

NetCDF

Spatial information

Study area
Spatial representation type
Raster
Spatial reference system
WGS 84
Spatial resolution
11000 metres

Temporal information

Temporal extent
2015-01-01    to    2030-12-31

Provenance & quality

Daily average concentrations for a model domain covering the South Asia with a resolution of about 0.1°x 0.1° were calculated using the EMEP atmospheric chemistry transport model.
The data were processed from the full EMEP model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.

Licensing and constraints

This dataset is under embargo and will be made available by 30 September 2026 at the latest   Find out more »

This dataset will be available under the terms of the Open Government Licence

Cite this dataset as:
Wang, Y.; Tomlinson, S.J.; Carnell, E.J.; Pearson, C.; Vieno, M.; Nemitz, E.; Sutton, M.A. (2026). European Monitoring and Evaluation Program Model (EMEP) daily atmospheric composition and flux output data over South Asia. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/54511607-6cbf-424e-b352-c982de937d0a

Acknowledgements required (third-party datasets used to drive the model): The Weather and Research Forecast (WRF) model derived meteorology has been used to drive the EMEP model. The European Centre for Medium-Range Weather Forecasts reanalysis v5 dataset have been used as initial and boundary condition, and to nudge the WRF model. 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

Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS)

Correspondence/contact details

Yuanlin Wang
UK Centre of Ecology & Hydrology
 enquiries@ceh.ac.uk

Authors

Wang, Y.
UK Centre of Ecology & Hydrology
Tomlinson, S.J.
UK Centre of Ecology & Hydrology
Carnell, E.J.
UK Centre of Ecology & Hydrology
Pearson, C.
UK Centre of Ecology & Hydrology
Vieno, M.
UK Centre of Ecology & Hydrology
Nemitz, E.
UK Centre of Ecology & Hydrology
Sutton, M.A.
UK Centre of Ecology & Hydrology

Other contacts

Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Rights holder
UK Centre of Ecology & Hydrology

Additional metadata

Topic categories
climatologyMeteorologyAtmosphere
INSPIRE theme
Environmental Monitoring Facilities
Keywords
EMEP, European Monitoring and Evaluation Programme, gases, aerosols, composition, fluxes, deposition, SANH , Modelling
Funding
Natural Environment Research Council Award: NE/S009019/1