FACE-IT: A science gateway for food security research

Raffaele Montella, David Kelly, Wei Xiong, Alison Brizius, Joshua Elliott, Ravi Madduri, Ketan Maheshwari, Cheryl Porter, Peter Vilter, Michael Wilde, Meng Zhang, Ian Foster

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Progress in sustainability science is hindered by challenges in creating and managing complex data acquisition, processing, simulation, post-processing, and intercomparison pipelines. To address these challenges, we developed the Framework to Advance Climate, Economic, and Impact Investigations with Information Technology (FACE-IT) for crop and climate impact assessments. This integrated data processing and simulation framework enables data ingest from geospatial archives; data regridding, aggregation, and other processing prior to simulation; large-scale climate impact simulations with agricultural and other models, leveraging high-performance and cloud computing; and post-processing to produce aggregated yields and ensemble variables needed for statistics, for model intercomparison, and to connect biophysical models to global and regional economic models. FACE-IT leverages the capabilities of the Globus Galaxies platform to enable the capture of workflows and outputs in well-defined, reusable, and comparable forms. We describe FACE-IT and applications within the Agricultural Model Intercomparison and Improvement Project and the Center for Robust Decision-making on Climate and Energy Policy.

Original languageEnglish
Pages (from-to)4423-4436
Number of pages14
JournalConcurrency and Computation: Practice and Experience
Volume27
Issue number16
DOIs
StatePublished - Nov 2015
Externally publishedYes

Funding

FundersFunder number
National Science Foundation1331922, 1331782

    Keywords

    • climate impacts and food security
    • globus galaxies
    • science gateways

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