e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Application of the high performance computing techniques of parflow simulator to model groundwater flow at Azraq basin


Being one of the largest groundwater basins in Jordan, the Azraq basin is considered to be an important domestic and agricultural water source. Lately, there have been growing concerns about the continuous depletion and deterioration in groundwater quality in the basin due to intensive pumping beyond the safe yield of the basin. This is where assessment studies equipped with the proper modeling tools come into the picture. The highly advanced groundwater model, ParFlow, was utilized in this project in order to model groundwater flow in the basin. ParFlow employs the latest numerical techniques along with the massive power of parallel computing to utilize three-dimensional heterogeneity in groundwater flow modeling. This was tested against the homogeneous assumptions employed in more commonly used models such as Processing Modflow. Modeling results were compared to those produced by the PM5 modeling studies conducted by relevant official agencies in Jordan. Furthermore, the calibrated flow model was used to predict the aquifer system's response to a pumpage scheme of 55.5 MCM/year. The results showed that the maximum drawdown predicted by ParFlow was greater than the amount predicted by Modflow for the same pumping scheme. One of the causes of this difference in predictions may be attributed to the fact that ParFlow gives a general, more comprehensive picture of the system at hand, as opposed to the point dependent results obtained via Modflow.

  • JO
  • US
  • Univ_Calif_Berkeley (US)
Data keywords
  • high performance computing
Agriculture keywords
  • agriculture
Data topic
  • big data
  • information systems
  • modeling
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Univ_Calif_Berkeley (US)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.