Cite this dataset as
Cameron, D.R., Loubet, B., Lassman, W., Bealey, B.W., Martin Hernandez, C. (2022). Modelled recapture of ammonia by shelterbelt trees in the UK . NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/83a2a25c-dbb7-4760-ae3d-21904f3dd278
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This dataset is available under the terms of the Open Government Licence 
Modelled recapture of ammonia by shelterbelt trees in the UK
This dataset contains modelled ammonia recapture by shelterbelts downwind of an ammonia source. The runs were located in the UK with ten years of averaged meteorological data for the different seasons of the year. Several tree species and tree heights were also taken into consideration and predictions of recapture were made for the year 5, 15, 25 and 50 after planting .
Two models were coupled to obtain this dataset; Open-source Field Operation And Manipulation (OpenFOAM) and MOdel of Dispersion and Deposition of Ammonia over the Short-range in two dimensions (MODDAS-2D).
This dataset was created by the Modelling Uncertainty for Decision Making on Ammonia mitigation with Trees in the landscape (MUDMAT) project funded by NERC.
Two models were coupled to obtain this dataset; Open-source Field Operation And Manipulation (OpenFOAM) and MOdel of Dispersion and Deposition of Ammonia over the Short-range in two dimensions (MODDAS-2D).
This dataset was created by the Modelling Uncertainty for Decision Making on Ammonia mitigation with Trees in the landscape (MUDMAT) project funded by NERC.
Publication date: 2022-05-16
View record as
Format
Comma-separated values (CSV)
Spatial information
- Study area
-
- Spatial representation type
- Tabular (text)
- Spatial reference system
- OSGB 1936 / British National Grid
Provenance & quality
This dataset is the output of two models; OpenFOAM (Open-source Field Operation And Manipulation) and MODDAS-2D (MOdel of Dispersion and Deposition of Ammonia over the Short-range in two dimensions). Python 2.7 code was used to couple the output of OpenFOAM to the input of MODDAS-2D.
The inputs are the Chess dataset (https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293) for the meteorology, Forest Research Decision Support Tool (DSS tool) (http://www.forestdss.org.uk/geoforestdss/) for tree species height and tree Leaf area index (LAI) reviewed by experts.
The input files were transformed with R code and the runs were made on the CEDA LOTUS-JASMIN cluster in parallel (https://jasmin.ac.uk/). The outputs were then processed and added to a database with two tables, one for Northern Ireland and another for Great Britain. Each row of the files in this dataset is a model run.
The inputs are the Chess dataset (https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293) for the meteorology, Forest Research Decision Support Tool (DSS tool) (http://www.forestdss.org.uk/geoforestdss/) for tree species height and tree Leaf area index (LAI) reviewed by experts.
The input files were transformed with R code and the runs were made on the CEDA LOTUS-JASMIN cluster in parallel (https://jasmin.ac.uk/). The outputs were then processed and added to a database with two tables, one for Northern Ireland and another for Great Britain. Each row of the files in this dataset is a model run.
Supplemental information
This web application extracts the data from the database and display the results to the user
Correspondence/contact details
Dr. Cristina Martin Hernandez
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
- Rights holder
-
UK Centre for Ecology & Hydrology
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
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NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk