Global research alliance modelling platform (GRAMP)

An open web platform for modelling greenhouse gas emissions from agro-ecosystems

Jagadeesh B. Yeluripati*, Agustin del Prado, Alberto Sanz-Cobeña, Robert M. Rees, Changsheng Li, Dave Chadwick, Emma Tilston, Cairistiona F E Topp, Laura M. Cardenas, Pete Ingraham, Sarah Gilhespy, Steven Anthony, Sylvia H. Vetter, Tom Misselbrook, William Salas, Pete Smith

*Corresponding author for this work

Research output: Contribution to journalArticle

6 Citations (Scopus)
5 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)112-120
Number of pages9
JournalComputers and Electronics in Agriculture
Volume111
Early online date15 Jan 2015
DOIs
Publication statusPublished - Feb 2015

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greenhouse gas emissions
Gas emissions
Greenhouse gases
Ecosystems
greenhouse gas
ecosystems
ecosystem
modeling
Nitrogen
Transpiration
nitrogen
carbon
Carbon
researchers
Photosynthesis
Graphical user interfaces
transpiration
user interface
photosynthesis
mitigation

Keywords

  • Biogeochemical modelling
  • Climate change
  • Ecosystems
  • Greenhouse gas emissions
  • Integrated modelling platform
  • Unified modelling approach

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Horticulture
  • Forestry
  • Computer Science Applications
  • Animal Science and Zoology

Cite this

Global research alliance modelling platform (GRAMP) : An open web platform for modelling greenhouse gas emissions from agro-ecosystems. / Yeluripati, Jagadeesh B.; del Prado, Agustin; Sanz-Cobeña, Alberto; Rees, Robert M.; Li, Changsheng; Chadwick, Dave; Tilston, Emma; Topp, Cairistiona F E; Cardenas, Laura M.; Ingraham, Pete; Gilhespy, Sarah; Anthony, Steven; Vetter, Sylvia H.; Misselbrook, Tom; Salas, William; Smith, Pete.

In: Computers and Electronics in Agriculture, Vol. 111, 02.2015, p. 112-120.

Research output: Contribution to journalArticle

Yeluripati, JB, del Prado, A, Sanz-Cobeña, A, Rees, RM, Li, C, Chadwick, D, Tilston, E, Topp, CFE, Cardenas, LM, Ingraham, P, Gilhespy, S, Anthony, S, Vetter, SH, Misselbrook, T, Salas, W & Smith, P 2015, 'Global research alliance modelling platform (GRAMP): An open web platform for modelling greenhouse gas emissions from agro-ecosystems', Computers and Electronics in Agriculture, vol. 111, pp. 112-120. https://doi.org/10.1016/j.compag.2014.11.016
Yeluripati, Jagadeesh B. ; del Prado, Agustin ; Sanz-Cobeña, Alberto ; Rees, Robert M. ; Li, Changsheng ; Chadwick, Dave ; Tilston, Emma ; Topp, Cairistiona F E ; Cardenas, Laura M. ; Ingraham, Pete ; Gilhespy, Sarah ; Anthony, Steven ; Vetter, Sylvia H. ; Misselbrook, Tom ; Salas, William ; Smith, Pete. / Global research alliance modelling platform (GRAMP) : An open web platform for modelling greenhouse gas emissions from agro-ecosystems. In: Computers and Electronics in Agriculture. 2015 ; Vol. 111. pp. 112-120.
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abstract = "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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