Global Research Alliance Modelling Platform (GRAMP): An open web platform for modelling greenhouse gas emissions from agro-ecosystems
Open accessAbstract
Carbon (C) and nitrogen (N) process-based models are important tools for estimating and reporting greenhouse gas emissions and changes in soil C stocks. There is a need for continuous evaluation, development and adaptation of these models to improve scientific understanding, national inventories and assessment of mitigation options across the world. To date, much of the information needed to describe different processes like transpiration, photosynthesis, plant growth and maintenance, above and below ground carbon dynamics, decomposition and nitrogen mineralization.In ecosystem models remains inaccessible to the wider community, being stored within model computer source code, or held internally by modelling teams. Here we describe the Global Research Alliance Modelling Platform (GRAMP), a web-based modelling platform to link researchers with appropriate datasets, models and training material. It will provide access to model source code and an interactive platform for researchers to form a consensus on existing methods, and to synthesize new ideas, which will help to advance progress in this area. The platform will eventually support a variety of models, but to trial the platform and test the architecture and functionality, it was piloted with variants of the DNDC model. The intention is to form a worldwide collaborative network (a virtual laboratory) via an interactive website with access to models and best practice guidelines; appropriate datasets for testing, calibrating and evaluating models; on-line tutorials and links to modelling and data provider research groups, and their associated publications. A graphical user interface has been designed to view the model development tree and access all of the above functions.
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If high resolution soil maps are made publicly available, they would greatly improve capabilities for modeling GHG emission at scale.
“if made publically available 94 , would greatly improve capabilities for modeling GHG emission at scale.”
From Climate-smart soils (2016) · cites this paper as [94]
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Self-citation
- Authors
- Yeluripati, J. B., del Prado, A., Sanz-Cobeña, A., Rees, R. M., Li, C., Chadwick, D., Tilston, E., Topp, C. F. E., Cardenas, L. M., Ingraham, P., Gilhespy, S., Anthony, S., Vetter, S. H., Misselbrook, T., Salas, W., & Smith, P.
- Affiliations
- James Hutton Institute (GB)
- Universidad Politécnica de Madrid (ES)
- Scotland's Rural College (GB)
- University of New Hampshire (US)
- Bangor University (GB)
- Rothamsted Research (GB)
- Applied GeoSolutions (United States) (US)
- Agricultural Development Advisory Service (United Kingdom) (GB)
- University of Aberdeen (GB)
- Corresponding author
- Yeluripati, Jagadeesh B.
- ORCID
- Venue
- Computers and Electronics in Agriculture
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 111
- Pages
- 112-120
- ISSN
- 0168-1699 (ISSN-L)
- OpenAlex
- W1991062476
- Cited by
- 15
- References
- 29
- Citations by year
- 2026: 2 · 2021: 1 · 2020: 4 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 5
- FWCI
- 3.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Computers and Electronics in Agriculture (publishedVersion)
- Hispana (acceptedVersion, cc-by-nc-nd)
- Archivo Digital UPM (Universidad Politécnica de Madrid) (acceptedVersion, cc-by-nc-nd)
- Rothamsted Repository (Rothamsted Repository) (submittedVersion)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
- Funders
- Government of the United Kingdom
- Department for Environment, Food and Rural Affairs, UK Government
- Biotechnology and Biological Sciences Research Council (BB/K001051/1)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Environmental Science › Ecology › Peatlands and Wetlands Ecology
- Keywords
- greenhouse gas emissions, agroecosystems, mechanistic model, DNDC model, soil carbon stocks, nitrogen mineralization, virtual laboratory, model calibration and evaluation, carbon and nitrogen cycling, open science
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