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Full-Text Articles in Computer Engineering
Ontology Mapping In Semantic Time Series Processing In Climate Change Prediction, Bojan Božić, Jan Peters-Anders, Gerald Schimak
Ontology Mapping In Semantic Time Series Processing In Climate Change Prediction, Bojan Božić, Jan Peters-Anders, Gerald Schimak
International Congress on Environmental Modelling and Software
In today's time series processing there is more and more a need for addressing diverse user groups interested in a specific domain with appropriate user tailored time series data. The complexity of time series (e.g. involved data from different data sources and/or domains, visualization and representation, etc.) is growing rapidly. As a consequence, it means that users need to find a path through the jungle of time series data. After we have presented our concepts for semantic time series filtering and enrichment of time series with meta-information and annotations (Božić et al., 2012), we are now going to present a …
Integrating Neon Data With Existing Models: An Example With The Community Land Model, Edmund M. Hart, Andrew Fox, Steve Berukoff, T. J. Hoar
Integrating Neon Data With Existing Models: An Example With The Community Land Model, Edmund M. Hart, Andrew Fox, Steve Berukoff, T. J. Hoar
International Congress on Environmental Modelling and Software
A central challenge to environmental forecasting in hydrological and land surface modeling is how to integrate multiple data sources over a wide range of spatial scales. Furthermore how can this complex task be achieved in the most productive and reproducible way with a robust informatics architecture? At the National Ecological Observatory Network (NEON) we are collecting a variety of biophysical and biogeochemical measurements which can be used with models to perform temporal forecasting on decadal timescales. To take advantage of this data we are developing a data assimilation framework. Using this framework NEON data can be combined with the Community …
Nesll Modular, High Performance Lnfrastructure For Earth System Modeling, Cecelia Deluca, Peggy Li, Gerhard Theurich
Nesll Modular, High Performance Lnfrastructure For Earth System Modeling, Cecelia Deluca, Peggy Li, Gerhard Theurich
International Congress on Environmental Modelling and Software
The mission of the NOAA Environmental Software lnfrastructure and lnteroperability (NESll) group is to advance understanding and improve predictions of the Earth system by delivering infrastructure software that enables new scientific discoveries, fosters collaborations, and promotes resource efficiency. NESll software supports environmental modeling, data search and analysis, and metadata services. A core capability is the Earth System Modeling Framework (ESMF), a comprehensive object-oriented framework for building and coupling models. However, new development has focused on modular packages that can easily be combined with other software elements to form solutions to complex problems. Such modular packages include ESMPy, a Python grid …