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| + This workshop will involve domain scientists and technologists, to clarify the specific technical needs and requirements of two initial Scientific Use Cases for the REAP Project: one involving the access to and modeling of Sea Surface Temperature Data; and the other involving the monitoring and analysis of real-time land-based environmental sensors over a broad spatiotemporal range. Both Use Cases were chosen to not only address some challenging areas regarding data access and sharing |
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| + !Oceanographic Use Case: |
| + An Integrated Framework for Hybrid and Adaptive Modeling. Sea surface temperature (SST) fields are among the most broadly used observational data sets related to the ocean, and constitute critical information for informing a broad range of analyses and models, ranging from estimates of near-surface currents and water body masses, to application in biodiversity models, support of search and rescue missions, as well as the investigation of air-sea interaction at many scales. There is a bewildering array of SST products available, many deriving from satellite-borne instruments, as well as ship-board and other in situ instruments. Quantitative comparison and integration of these various SST data sources is currently extremely difficult and time-consuming. This use case will focus on developing the Kepler workflow application to facilitate the quantitative evaluation of SST data sets. Initial areas for investigation and development include facilitating the researcher’s ability to find SST data sets falling in a given space- time window, without the need for specialized queries for discovery of relevant information. The workflow application will enable the researcher to link these input SST data streams to extraction filters that will build match-up data sets from various comparison products. The output of the extraction filters could then be incorporated into analytical workflows to perform a variety of user-selected statistical comparisons and visualizations on the matchups. A range of additional display/report capabilities would also be available as workflow output. |
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| + !Terrestrial Use Case: |
| + Predictive Modeling of the Role of an Insect-vectored Pathogen in Exotic Plant Invasions. The goal of this study is to investigate the use of Kepler workflows to develop and test models exploring the impacts of abiotic factors (real-time light, temperature, and rainfall measurements) on the dynamics of plant host populations and their susceptibility to viral pathogens. A large-scale invasion of non-native grasses is occurring in the western United States, involving the displacement of native perennial grasslands by exotic annual grasses and forbs. This displacement has altered the dynamics of a globally distributed complex of viral pathogens on the grasses, which appears to be allowing the exotic grasses to further extend their range. Aphids are the insect vectors which are facilitating the spread of the viral pathogen. This work is, to our knowledge, the first field-parameterized, system-specific model suggesting that disease may have tipped the competitive balance among a species complex, to allow a widespread invasion. Much remains unknown about this pathogen-host community, and we will investigate how the REAP workflow tools can provide an effective framework to access relevant data and develop appropriate models to better resolve several research questions within this area. A network of monitoring sites ranging from Canada to Mexico has already been established, and the REAP applications provide an outstanding opportunity to develop the needed real-time data collection and monitoring capabilities to parameterize integrated models of the plant-pathogen-insect vector systems. The models developed in support of this research effort will represent state-of-the-art approaches to disease ecology. This use case has relevance to clarifying the interactions among altered biogeochemical cycles, species diversity, and species invasions, four areas identified as Grand Challenges within the NEON program |
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